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Cereal_Company_Sales_Analysis.html
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<meta name="author" content="Afsar Ali" />
<title>Sales Analysis</title>
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    me.min = options.columns.min !== null ? options.columns.min : me.defaults.min;
    me.max = options.columns.max !== null ? options.columns.max : null;
    me.widths = {};

    var widthsLookAhead = Math.max(100, options.rows.min);
    var paddingColChars = 10;

    me.emptyNames = function() {
      columns.forEach(function(column) {
        if (columns.label !== null && columns.label !== "")
          return false;
      });

      return true;
    };

    var parsePadding = function(value) {
      return parseInt(value) >= 0 ? parseInt(value) : 0;
    };

    me.calculateWidths = function(measures) {
      columns.forEach(function(column) {
        var maxChars = Math.max(
          column.label.toString().length,
          column.type.toString().length
        );

        for (var idxRow = 0; idxRow < Math.min(widthsLookAhead, data.length); idxRow++) {
          maxChars = Math.max(maxChars, data[idxRow][column.name.toString()].length);
        }

        me.widths[column.name] = {
          // width in characters
          chars: maxChars,
          // width for the inner html columns
          inner: maxChars * measures.character,
          // width adding outer styles like padding
          outer: maxChars * measures.character + measures.padding
        };
      });
    };

    me.getWidth = function() {
      var widthOuter = 0;
      for (var idxCol = 0; idxCol < me.subset.length; idxCol++) {
        var columnName = me.subset[idxCol].name;
        widthOuter = widthOuter + me.widths[columnName].outer;
      }

      widthOuter = widthOuter + me.padding * paddingColChars * measurer.measures.character;

      if (me.hasMoreLeftColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      if (me.hasMoreRightColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      return widthOuter;
    };

    me.updateSlice = function() {
      if (me.number + me.visible >= me.total)
        me.number = me.total - me.visible;

      if (me.number < 0) me.number = 0;

      me.subset = columns.slice(me.number, Math.min(me.number + me.visible, me.total));

      me.subset = me.subset.map(function(column) {
        Object.keys(column).forEach(function(colKey) {
          column[colKey] = column[colKey] === null ? "" : column[colKey].toString();
        });

        column.width = null;
        return column;
      });
    };

    me.setVisibleColumns = function(columnNumber, newVisibleColumns, paddingCount) {
      me.number = columnNumber;
      me.visible = newVisibleColumns;
      me.padding = paddingCount;

      me.updateSlice();
    };

    me.incColumnNumber = function(increment) {
      me.number = me.number + increment;
    };

    me.setColumnNumber = function(newNumber) {
      me.number = newNumber;
    };

    me.setPaddingCount = function(newPadding) {
      me.padding = newPadding;
    };

    me.getPaddingCount = function() {
      return me.padding;
    };

    me.hasMoreLeftColumns = function() {
      return me.number > 0;
    };

    me.hasMoreRightColumns = function() {
      return me.number + me.visible < me.total;
    };

    me.updateSlice(0);
    return me;
  };

  var data = source.data;
  var page = new Page(data, options);
  var measurer = new Measurer(data, options);
  var columns = new Columns(data, source.columns, options);

  var table = null;
  var tableDiv = null;
  var header = null;
  var footer = null;
  var tbody = null;

  // Caches pagedTable.clientWidth, specially for webkit
  var cachedPagedTableClientWidth = null;

  var onChangeCallbacks = [];

  var clearSelection = function() {
    if(document.selection && document.selection.empty) {
      document.selection.empty();
    } else if(window.getSelection) {
      var sel = window.getSelection();
      sel.removeAllRanges();
    }
  };

  var columnNavigationWidthPX = 5;

  var renderColumnNavigation = function(increment, backwards) {
    var arrow = document.createElement("div");
    arrow.setAttribute("style",
      "border-top: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-bottom: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-" + (backwards ? "right" : "left") + ": " + columnNavigationWidthPX + "px solid;");

    var header = document.createElement("th");
    header.appendChild(arrow);
    header.setAttribute("style",
      "cursor: pointer;" +
      "vertical-align: middle;" +
      "min-width: " + columnNavigationWidthPX + "px;" +
      "width: " + columnNavigationWidthPX + "px;");

    header.onclick = function() {
      columns.incColumnNumber(backwards ? -1 : increment);

      me.animateColumns(backwards);
      renderFooter();

      clearSelection();
      triggerOnChange();
    };

    return header;
  };

  var maxColumnWidth = function(width) {
    var padding = 80;
    var columnMax = Math.max(cachedPagedTableClientWidth - padding, 0);

    return parseInt(width) > 0 ?
      Math.min(columnMax, parseInt(width)) + "px" :
      columnMax + "px";
  };

  var clearHeader = function() {
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.innerHTML = "";
  };

  var renderHeader = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth;

    var fragment = document.createDocumentFragment();

    header = document.createElement("tr");
    fragment.appendChild(header);

    if (columns.number > 0)
      header.appendChild(renderColumnNavigation(-columns.visible, true));

    columns.subset = columns.subset.map(function(columnData) {
      var column = document.createElement("th");
      column.setAttribute("align", columnData.align);
      column.style.textAlign = columnData.align;

      column.style.maxWidth = maxColumnWidth(null);
      if (columnData.width) {
        column.style.minWidth =
          column.style.maxWidth = maxColumnWidth(columnData.width);
      }

      var columnName = document.createElement("div");
      columnName.setAttribute("class", "pagedtable-header-name");
      if (columnData.label === "") {
        columnName.innerHTML = "&nbsp;";
      }
      else {
        columnName.appendChild(document.createTextNode(columnData.label));
      }
      column.appendChild(columnName);

      var columnType = document.createElement("div");
      columnType.setAttribute("class", "pagedtable-header-type");
      if (columnData.type === "") {
        columnType.innerHTML = "&nbsp;";
      }
      else {
        columnType.appendChild(document.createTextNode("<" + columnData.type + ">"));
      }
      column.appendChild(columnType);

      header.appendChild(column);

      columnData.element = column;

      return columnData;
    });

    for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
      var paddingCol = document.createElement("th");
      paddingCol.setAttribute("class", "pagedtable-padding-col");
      header.appendChild(paddingCol);
    }

    if (columns.number + columns.visible < columns.total)
      header.appendChild(renderColumnNavigation(columns.visible, false));

    if (typeof(clear) == "undefined" || clear) clearHeader();
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.appendChild(fragment);
  };

  me.animateColumns = function(backwards) {
    var thead = pagedTable.querySelectorAll("thead")[0];

    var headerOld = thead.querySelectorAll("tr")[0];
    var tbodyOld = table.querySelectorAll("tbody")[0];

    me.fitColumns(backwards);

    renderHeader(false);

    header.style.opacity = "0";
    header.style.transform = backwards ? "translateX(-30px)" : "translateX(30px)";
    header.style.transition = "transform 200ms linear, opacity 200ms";
    header.style.transitionDelay = "0";

    renderBody(false);

    if (headerOld) {
      headerOld.style.position = "absolute";
      headerOld.style.transform = "translateX(0px)";
      headerOld.style.opacity = "1";
      headerOld.style.transition = "transform 100ms linear, opacity 100ms";
      headerOld.setAttribute("class", "pagedtable-remove-head");
      if (headerOld.style.transitionEnd) {
        headerOld.addEventListener("transitionend", function() {
          var headerOldByClass = thead.querySelector(".pagedtable-remove-head");
          if (headerOldByClass) thead.removeChild(headerOldByClass);
        });
      }
      else {
        thead.removeChild(headerOld);
      }
    }

    if (tbodyOld) table.removeChild(tbodyOld);

    tbody.style.opacity = "0";
    tbody.style.transition = "transform 200ms linear, opacity 200ms";
    tbody.style.transitionDelay = "0ms";

    // force relayout
    window.getComputedStyle(header).opacity;
    window.getComputedStyle(tbody).opacity;

    if (headerOld) {
      headerOld.style.transform = backwards ? "translateX(20px)" : "translateX(-30px)";
      headerOld.style.opacity = "0";
    }

    header.style.transform = "translateX(0px)";
    header.style.opacity = "1";

    tbody.style.opacity = "1";
  }

  me.onChange = function(callback) {
    onChangeCallbacks.push(callback);
  };

  var triggerOnChange = function() {
    onChangeCallbacks.forEach(function(onChange) {
      onChange();
    });
  };

  var clearBody = function() {
    if (tbody) {
      table.removeChild(tbody);
      tbody = null;
    }
  };

  var renderBody = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth

    var fragment = document.createDocumentFragment();

    var pageData = data.slice(page.getRowStart(), page.getRowEnd());

    pageData.forEach(function(dataRow, idxRow) {
      var htmlRow = document.createElement("tr");
      htmlRow.setAttribute("class", (idxRow % 2 !==0) ? "even" : "odd");

      if (columns.hasMoreLeftColumns())
        htmlRow.appendChild(document.createElement("td"));

      columns.subset.forEach(function(columnData) {
        var cellName = columnData.name;
        var dataCell = dataRow[cellName];
        var htmlCell = document.createElement("td");

        if (dataCell === "NA") htmlCell.setAttribute("class", "pagedtable-na-cell");
        if (dataCell === "__NA__") dataCell = "NA";

        var cellText = document.createTextNode(dataCell);
        htmlCell.appendChild(cellText);
        if (dataCell.length > 50) {
          htmlCell.setAttribute("title", dataCell);
        }
        htmlCell.setAttribute("align", columnData.align);
        htmlCell.style.textAlign = columnData.align;
        htmlCell.style.maxWidth = maxColumnWidth(null);
        if (columnData.width) {
          htmlCell.style.minWidth = htmlCell.style.maxWidth = maxColumnWidth(columnData.width);
        }
        htmlRow.appendChild(htmlCell);
      });

      for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
        var paddingCol = document.createElement("td");
        paddingCol.setAttribute("class", "pagedtable-padding-col");
        htmlRow.appendChild(paddingCol);
      }

      if (columns.hasMoreRightColumns())
        htmlRow.appendChild(document.createElement("td"));

      fragment.appendChild(htmlRow);
    });

    for (var idxPadding = 0; idxPadding < page.getPaddingRows(); idxPadding++) {
      var paddingRow = document.createElement("tr");

      var paddingCellRow = document.createElement("td");
      paddingCellRow.innerHTML = "&nbsp;";
      paddingCellRow.setAttribute("colspan", "100%");
      paddingRow.appendChild(paddingCellRow);

      fragment.appendChild(paddingRow);
    }

    if (typeof(clear) == "undefined" || clear) clearBody();
    tbody = document.createElement("tbody");
    tbody.appendChild(fragment);

    table.appendChild(tbody);
  };

  var getLabelInfo = function() {
    var pageStart = page.getRowStart();
    var pageEnd = page.getRowEnd();
    var totalRows = data.length;

    var totalRowsLabel = options.rows.total ? options.rows.total : totalRows;
    var totalRowsLabelFormat = totalRowsLabel.toString().replace(/(\d)(?=(\d\d\d)+(?!\d))/g, '$1,');

    var infoText = (pageStart + 1) + "-" + pageEnd + " of " + totalRowsLabelFormat + " rows";
    if (totalRows < page.rows) {
      infoText = totalRowsLabel + " row" + (totalRows != 1 ? "s" : "");
    }
    if (columns.total > columns.visible) {
      var totalColumnsLabel = options.columns.total ? options.columns.total : columns.total;

      infoText = infoText + " | " + (columns.number + 1) + "-" +
        (Math.min(columns.number + columns.visible, columns.total)) +
        " of " + totalColumnsLabel + " columns";
    }

    return infoText;
  };

  var clearFooter = function() {
    footer = pagedTable.querySelectorAll("div.pagedtable-footer")[0];
    footer.innerHTML = "";

    return footer;
  };

  var createPageLink = function(idxPage) {
    var pageLink = document.createElement("a");
    pageLinkClass = idxPage === page.number ? "pagedtable-index pagedtable-index-current" : "pagedtable-index";
    pageLink.setAttribute("class", pageLinkClass);
    pageLink.setAttribute("data-page-index", idxPage);
    pageLink.onclick = function() {
      page.setPageNumber(parseInt(this.getAttribute("data-page-index")));
      renderBody();
      renderFooter();

      triggerOnChange();
    };

    pageLink.appendChild(document.createTextNode(idxPage + 1));

    return pageLink;
  }

  var renderFooter = function() {
    footer = clearFooter();

    var next = document.createElement("a");
    next.appendChild(document.createTextNode("Next"));
    next.onclick = function() {
      page.setPageNumber(page.number + 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(next);

    var pageNumbers = document.createElement("div");
    pageNumbers.setAttribute("class", "pagedtable-indexes");

    var pageRange = page.getVisiblePageRange();

    if (pageRange.first) {
      var pageLink = createPageLink(0);
      pageNumbers.appendChild(pageLink);

      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-left");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);
    }

    for (var idxPage = pageRange.start; idxPage < pageRange.end; idxPage++) {
      var pageLink = createPageLink(idxPage);

      pageNumbers.appendChild(pageLink);
    }

    if (pageRange.last) {
      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-right");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);

      var pageLink = createPageLink(page.total - 1);
      pageNumbers.appendChild(pageLink);
    }

    if (data.length > page.rows) footer.appendChild(pageNumbers);

    var previous = document.createElement("a");
    previous.appendChild(document.createTextNode("Previous"));
    previous.onclick = function() {
      page.setPageNumber(page.number - 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(previous);

    var infoLabel = document.createElement("div");
    infoLabel.setAttribute("class", "pagedtable-info");
    infoLabel.setAttribute("title", getLabelInfo());
    infoLabel.appendChild(document.createTextNode(getLabelInfo()));
    footer.appendChild(infoLabel);

    var enabledClass = "pagedtable-index-nav";
    var disabledClass = "pagedtable-index-nav pagedtable-index-nav-disabled";
    previous.setAttribute("class", page.number <= 0 ? disabledClass : enabledClass);
    next.setAttribute("class", (page.number + 1) * page.rows >= data.length ? disabledClass : enabledClass);
  };

  var measuresCell = null;

  var renderMeasures = function() {
    var measuresTable = document.createElement("table");
    measuresTable.style.visibility = "hidden";
    measuresTable.style.position = "absolute";
    measuresTable.style.whiteSpace = "nowrap";
    measuresTable.style.height = "auto";
    measuresTable.style.width = "auto";

    var measuresRow = document.createElement("tr");
    measuresTable.appendChild(measuresRow);

    measuresCell = document.createElement("td");
    var sampleString = "ABCDEFGHIJ0123456789";
    measuresCell.appendChild(document.createTextNode(sampleString));

    measuresRow.appendChild(measuresCell);

    tableDiv.appendChild(measuresTable);
  }

  me.init = function() {
    tableDiv = document.createElement("div");
    pagedTable.appendChild(tableDiv);
    var pagedTableClass = data.length > 0 ?
      "pagedtable pagedtable-not-empty" :
      "pagedtable pagedtable-empty";

    if (columns.total == 0 || (columns.emptyNames() && data.length == 0)) {
      pagedTableClass = pagedTableClass + " pagedtable-empty-columns";
    }

    tableDiv.setAttribute("class", pagedTableClass);

    renderMeasures();
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    table = document.createElement("table");
    table.setAttribute("cellspacing", "0");
    table.setAttribute("class", "table table-condensed");
    tableDiv.appendChild(table);

    table.appendChild(document.createElement("thead"));

    var footerDiv = document.createElement("div");
    footerDiv.setAttribute("class", "pagedtable-footer");
    tableDiv.appendChild(footerDiv);

    // if the host has not yet provided horizontal space, render hidden
    if (tableDiv.clientWidth <= 0) {
      tableDiv.style.opacity = "0";
    }

    me.render();

    // retry seizing columns later if the host has not provided space
    function retryFit() {
      if (tableDiv.clientWidth <= 0) {
        setTimeout(retryFit, 100);
      } else {
        me.render();
        triggerOnChange();
      }
    }
    if (tableDiv.clientWidth <= 0) {
      retryFit();
    }
  };

  var registerWidths = function() {
    columns.subset = columns.subset.map(function(column) {
      column.width = columns.widths[column.name].inner;
      return column;
    });
  };

  var parsePadding = function(value) {
    return parseInt(value) >= 0 ? parseInt(value) : 0;
  };

  me.fixedHeight = function() {
    return options.rows.max != null;
  }

  me.fitRows = function() {
    if (me.fixedHeight())
      return;

    measurer.calculate(measuresCell);

    var rows = options.rows.min !== null ? options.rows.min : 0;
    var headerHeight = header !== null && header.offsetHeight > 0 ? header.offsetHeight : 0;
    var footerHeight = footer !== null && footer.offsetHeight > 0 ? footer.offsetHeight : 0;

    if (pagedTable.offsetHeight > 0) {
      var availableHeight = pagedTable.offsetHeight - headerHeight - footerHeight;
      rows = Math.floor((availableHeight) / measurer.measures.height);
    }

    rows = options.rows.min !== null ? Math.max(options.rows.min, rows) : rows;

    page.setRows(rows);
  }

  // The goal of this function is to add as many columns as possible
  // starting from left-to-right, when the right most limit is reached
  // it tries to add columns from the left as well.
  //
  // When startBackwards is true columns are added from right-to-left
  me.fitColumns = function(startBackwards) {
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    if (tableDiv.clientWidth > 0) {
      tableDiv.style.opacity = 1;
    }

    var visibleColumns = tableDiv.clientWidth <= 0 ? Math.max(columns.min, 1) : 1;
    var columnNumber = columns.number;
    var paddingCount = 0;

    // track a list of added columns as we build the visible ones to allow us
    // to remove columns when they don't fit anymore.
    var columnHistory = [];

    var lastTableHeight = 0;
    var backwards = startBackwards;

    var tableDivStyle = window.getComputedStyle(tableDiv, null);
    var tableDivPadding = parsePadding(tableDivStyle.paddingLeft) +
      parsePadding(tableDivStyle.paddingRight);

    var addPaddingCol = false;
    var currentWidth = 0;

    while (true) {
      columns.setVisibleColumns(columnNumber, visibleColumns, paddingCount);
      currentWidth = columns.getWidth();

      if (tableDiv.clientWidth - tableDivPadding < currentWidth) {
        break;
      }

      columnHistory.push({
        columnNumber: columnNumber,
        visibleColumns: visibleColumns,
        paddingCount: paddingCount
      });

      if (columnHistory.length > 100) {
        console.error("More than 100 tries to fit columns, aborting");
        break;
      }

      if (columns.max !== null &&
        columns.visible + columns.getPaddingCount() >= columns.max) {
        break;
      }

      // if we run out of right-columns
      if (!backwards && columnNumber + columns.visible >= columns.total) {
        // if we started adding right-columns, try adding left-columns
        if (!startBackwards && columnNumber > 0) {
          backwards = true;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

      // if we run out of left-columns
      if (backwards && columnNumber == 0) {
        // if we started adding left-columns, try adding right-columns
        if (startBackwards && columnNumber + columns.visible < columns.total) {
          backwards = false;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

      // when moving backwards try fitting left columns first
      if (backwards && columnNumber > 0) {
        columnNumber = columnNumber - 1;
      }

      if (columnNumber + visibleColumns < columns.total) {
        visibleColumns = visibleColumns + 1;
      }
    }

    var lastRenderableColumn = {
        columnNumber: columnNumber,
        visibleColumns: visibleColumns,
        paddingCount: paddingCount
    };

    if (columnHistory.length > 0) {
      lastRenderableColumn = columnHistory[columnHistory.length - 1];
    }

    columns.setVisibleColumns(
      lastRenderableColumn.columnNumber,
      lastRenderableColumn.visibleColumns,
      lastRenderableColumn.paddingCount);

    if (pagedTable.offsetWidth > 0) {
      page.setVisiblePages(Math.max(Math.ceil(1.0 * (pagedTable.offsetWidth - 250) / 40), 2));
    }

    registerWidths();
  };

  me.fit = function(startBackwards) {
    me.fitRows();
    me.fitColumns(startBackwards);
  }

  me.render = function() {
    me.fitColumns(false);

    // render header/footer to measure height accurately
    renderHeader();
    renderFooter();

    me.fitRows();
    renderBody();

    // re-render footer to match new rows
    renderFooter();
  }

  var resizeLastWidth = -1;
  var resizeLastHeight = -1;
  var resizeNewWidth = -1;
  var resizeNewHeight = -1;
  var resizePending = false;

  me.resize = function(newWidth, newHeight) {

    function resizeDelayed() {
      resizePending = false;

      if (
        (resizeNewWidth !== resizeLastWidth) ||
        (!me.fixedHeight() && resizeNewHeight !== resizeLastHeight)
      ) {
        resizeLastWidth = resizeNewWidth;
        resizeLastHeight = resizeNewHeight;

        setTimeout(resizeDelayed, 200);
        resizePending = true;
      } else {
        me.render();
        triggerOnChange();

        resizeLastWidth = -1;
        resizeLastHeight = -1;
      }
    }

    resizeNewWidth = newWidth;
    resizeNewHeight = newHeight;

    if (!resizePending) resizeDelayed();
  };
};

var PagedTableDoc;
(function (PagedTableDoc) {
  var allPagedTables = [];

  PagedTableDoc.initAll = function() {
    allPagedTables = [];

    var pagedTables = [].slice.call(document.querySelectorAll('[data-pagedtable="false"],[data-pagedtable=""]'));
    pagedTables.forEach(function(pagedTable, idx) {
      pagedTable.setAttribute("data-pagedtable", "true");
      pagedTable.setAttribute("pagedtable-page", 0);
      pagedTable.setAttribute("class", "pagedtable-wrapper");

      var pagedTableInstance = new PagedTable(pagedTable);
      pagedTableInstance.init();

      allPagedTables.push(pagedTableInstance);
    });
  };

  PagedTableDoc.resizeAll = function() {
    allPagedTables.forEach(function(pagedTable) {
      pagedTable.render();
    });
  };

  window.addEventListener("resize", PagedTableDoc.resizeAll);

  return PagedTableDoc;
})(PagedTableDoc || (PagedTableDoc = {}));

window.onload = function() {
  PagedTableDoc.initAll();
};
"></script>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
div.sourceCode { overflow-x: auto; }
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
code > span.kw { color: #007020; font-weight: bold; } /* Keyword */
code > span.dt { color: #902000; } /* DataType */
code > span.dv { color: #40a070; } /* DecVal */
code > span.bn { color: #40a070; } /* BaseN */
code > span.fl { color: #40a070; } /* Float */
code > span.ch { color: #4070a0; } /* Char */
code > span.st { color: #4070a0; } /* String */
code > span.co { color: #60a0b0; font-style: italic; } /* Comment */
code > span.ot { color: #007020; } /* Other */
code > span.al { color: #ff0000; font-weight: bold; } /* Alert */
code > span.fu { color: #06287e; } /* Function */
code > span.er { color: #ff0000; font-weight: bold; } /* Error */
code > span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
code > span.cn { color: #880000; } /* Constant */
code > span.sc { color: #4070a0; } /* SpecialChar */
code > span.vs { color: #4070a0; } /* VerbatimString */
code > span.ss { color: #bb6688; } /* SpecialString */
code > span.im { } /* Import */
code > span.va { color: #19177c; } /* Variable */
code > span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code > span.op { color: #666666; } /* Operator */
code > span.bu { } /* BuiltIn */
code > span.ex { } /* Extension */
code > span.pp { color: #bc7a00; } /* Preprocessor */
code > span.at { color: #7d9029; } /* Attribute */
code > span.do { color: #ba2121; font-style: italic; } /* Documentation */
code > span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code > span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
</style>
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NOjMKhUpWZWHK5LZgl9279229we2OBUX50kuVjv5QDo7PBwnsvrhWJF%2BYDIuVagZDxeFHOF1MEKbsBMEQS%2BKJjOVdXJ1BKw61EH%2BfeqSTzTz3I7ZA3Zuv%2Bwhshy3sDFL2TjctJR6n2SDsfFJ3A0I5ewXfAgugw7s%2B0XQG0SAfFVWHOEsr6TyphSHW5NHFc9J6Wa%2B7B3Dfp42HguHAUINniPlZCpQ%2Fl0CogDIrW%2F8u85iv7sGv8ZzGzYAxjwV%2FMCxTwobJQCTWU8HRPQeruaaXpRqestVdUOXso7dupeF7px4Z8%2Bed3arKFc44AIg51W9ch4kIIiUEocmSk4sBpCcj15oUDRJXYYExl37RmirrkIv55rLASYJJF%2BS3t0nopeptU%2BE%2BmLrLK%2BlPgQyid3mCBU6UP1rVz8R2n770zc%2FXf7x8s%2FNn9fvaFi3rmFHPfmMLWRP4lycho%2FjNPY4W82Os88wiJ34K4tdAIQjAOQkx8YArcM2PaAOjSZBL8uolzAJFFvGDXd8ej67P2AvKpUkOYghcnK7zl300RBcsExwzJ%2Fhbrd7GuYBwhgAIYtbTx%2F3%2Bd4klJ3gtKCQnGIz9InYZEzqG8EkjSzNavCB%2FcXYlcQshhyMsZrI6PYLWc3lOG%2FvlA4rHr%2F3uTFD3r38%2Fr%2B3fMKOke9W4oJ9G566u7au84CpOz%2Fct5R99wF7W6dIYjjnawrHIAh3hlungFOWgXoyzVKbHOr1eD19Il6vISsrrU8kSzbY%2B0QMGpdjgYh60zDTHJKHoyP4404pw27zB4o1o62gq%2BBLL299am8j%2Bzv774zj995%2FdgTOZsOfWr3rnTWPj2h8qGbo1%2FM%2F%2FkYYvmxfms7TtPrM54E7ns4vwBw0rFy%2FaNJjRRVTet31OgCBPABhongUDOCAzuE0h6gnxChToCJ1ulB0iH0jeqvscFBZotflk%2BhMQ5oJDqhrC%2Fl%2F%2FFxmAUlGYeK5Z6Jl5MDec2yJQdc%2Bl5ViNduL1avoZ805eGll04jy6COKheT8S%2BU6kQwdw%2BlW6nPpXF4qtEoBziwAye3mMnRLkqlPRLqZdQlsKxTcLghkqhzjrLL5M%2BWgUwldSkjbL1HPLrCf51d8MHbv66zu%2FmcGl5Kz0YNZ0%2Bmcf759kbEB29qGGrZiYWop2b2R9fYqnKnlWOVzqXqgNfQIB5LtRr8fQLLT7CyT0ZLaL2K0WFzU5e0TcfmojkckcgvcyhJ4pNlr8Bd63VyEhIbiGhfIBFGTq8R9lqcWB2Dl1G79Rn%2F9i8n08OU3L%2F760UX2E369YuvqVUPrI9VryFR8CXc5V%2FrYefbW7svv%2FYNdxUHv%2FOnFVQ1V8yse2Dde0UcAIY%2FzU4L0sA1FEQg3jJT0jVAJFBlqbOOrALk1dCOmkuHNF%2BmpaKOYunHhldNAlZhEyFGpz4R20C%2Bc47Vmu%2B6gqXo9lewuq5TfXrLnZORk9Ink5JjAlNwvYvJBoF8E5N8qd9nN3jrmj7mOx8OPLDXqolpgwv0zZkpuzaeTynf%2BvWjNvnr22b%2BbsfDJR7%2Be%2BcL6dQ1bXlu3CDvOWfHIMytnrhJPHt7x4L7eg%2F48%2B8C5U0euLuu%2Ff8ozr1xteHTRssdGru8V3kwfeHTMsN937%2FzksLEzFdlO5NQpNsMLWdAtnJlizzQYAAQu26AljUvWZbEQlyuJi1Ymcr8Iaal2jjKNg5qJ9Ctqx02jMyDFKHJw8TpUIvjHKhXZQlZ0%2FIwe1eO%2B%2B6%2FRVHpg2mv%2FuPbBuguPMtfKLU%2BtuXfjkIFraEVzg2tlMuZg6O57%2FvXBP1C3kZ3H9od2PPV81RMVE%2FaNAy3HEcaokRS34Ta%2BLAA8XotzQMRiizkRDVfN87X0JXae6NzkVR6Znehb6J8XL%2BY3IKovXMjn0oEDMrkmmc2iXu9yGm0DIkab6hgTZklwj%2FT6FDccpXsmn6Rjlxv%2BknyrTFMR8%2BU%2FcF9%2BDiRwh%2FUCiChwdeXD58cDhSwsRjeikNNcTo83%2F0AtP2DDKLywji1nhxSezMTjgo9eVHOy3LBbJgIQ0OsEsToiIFRHrIjI4wHOlfxEz6a4ZOTXTLq9eTjdTofW1bEH6up%2Bg5GIBDhGEr2BkRNVlMZTa%2FP3HKVyrMMKrF3H%2FKPYUAWjlGsXaRnXrxTIhrJwqp%2FbMtnphFYWIdgGoLWtddqASGuPzdA7YhNaqFZLvVJSEa48LZwUd4YSN4mJ%2Baq%2FctSSXgtmD6gf2emV91%2F9KNj38bHd9l3PX0tq19dMnzFw3OSsgsWjj%2BzqPXn0w4On3e9nZ%2BNJLYFZ1yqkQ2ITFEM5zzwyA%2B1KLJ1kVwpAjsvSTgx3S%2BrQQeiisxv5Ky%2B9kGbnqUmllmSFEhOP6%2FG4ug6C2nJQUPdSt0td36R1IFMgbsUalrqlQAbw4KK1v1BwIH%2FudKqm8NCQbeMHP2LUtVk3rv7Fb4712N3Tt%2FDeaWvZt3%2B8wA7swe6Y%2F5cvjv3I1rHJn%2BAyhLM44ODVn14%2F7bBUDpq%2Fhpxb8c388XfdM%2BrU3veu%2BTws17Pv7O79aFvzMnvxc3aaHRq8sAZX4jgUsP7CfvYntoNhGYquJiAAAKJNPAIyWLjk0ojFqENR0SwqyILNaiG9I0bRYhFECoKD518xh6iplZYz%2B5W8H0OIlBsz%2FtURB6IHmnaT7itJORvb6A94cnbjGZYvHrnSg0zENwfPGTGddQIKJwCEo9xyW8ALGdA7nO0UUg1Wn89iEGQLjwd01iRrUlXEarWAxVcVsTjAWxUBevt4QnM9%2FgxBMbluwe4SAjxpj%2FmcgN0ef3cCt2IAhVVLsR%2F7%2BTIjjZjU9PTeY1ew4I9%2FOvhn8cCeI%2FNf9BnK2Pk3%2FkZ7TF00%2B6HoquhndauXPAGAMIdb09Oqr8gOu6jFpbdQb5IDekccglHi%2FHK2DL%2B4emRymUNIE3%2BRo3WokKfbtNP37Cs0%2F7rxjQ0X2Cvs2Rex%2FNNLuysbxBB7lX3FPmdvl64rwyU44QusOVSzuj8AUTgmDuEc04FdsYcWQQ8COJyiuSoiUsFSFREct4ppwc9rSBlA%2BZuAPZTBx2Az2Uo2CY%2FhIHysic%2F1z59PI%2FdU5CtWz%2BaJB9gi9gKmYebVKZgHgMq89Bc%2Br1GJWSSDAQXQoWAyS%2FreEUlCQsTeEUKRr3B03DZmUZBwxy%2F6S%2FMZmh%2BdTYZHt5OF4oH1LKc%2BeilhJj0UhpMlAKQ6pAbjTRPxSW45Q0CbAac3asPzwaNfrY9LTuyi2ilOhUvnI8SSohNapUJK7wiAaDLZe0dMgujtHRGdt4%2B8%2FHaphRyV9%2Brq5lT1xe9nfPc0a2IrDuKQL%2F%2F9bve3DrL%2Fso%2FQj0kbVrGXCYuWZWXjUhzzD7xn%2F%2BD6GvYau8Q%2BZe8H8LUY7WK6yuVQ2KdHBJ0giCCaTTraO6LTiQaJoshJV81RgnG%2FQbydi5f%2FDYnpjc2ssZGSRrI3Ws1z7dXkYQC8NoLNxfFqVpwaNht1OotVT4GzFDJj9GrpGI15%2BJJiPpxLMg0v6dVv9AONx9jclFWuR6fyFGvI0TNxvRC%2BUjHmnkjBViRGg4Ix0Yn6RGzLWkgJZRVRDKHw1TvRrzc2NpL1J6JN5M0l0dc5snnk4%2BjCBF0QIT1soQCCJCMFzgtw3EBXxTekkO0%2B0aio0pV%2FbIp9V%2BKIgpPrUZJOFCUev%2FJSmsuNBjuVjDK1gKQgp2DnLbuZlRjwuJUAn2MY4nce4COtZjadZSsCntbhh6zRomMm0bbpo%2Bbh4oGrVQLPOume7Uev%2FBCXo1IDsUG7sFsvcaytVpDB7jBS2aqjKCdypaUI4xPzabNJKZdj%2BWvNn%2BtsW4%2FRVB2xkGeEk582NR%2FnE3ZMwaxy2guAqFp99FZ5bu%2BIXqDW3hHqvLVNiOltBiTmueJRtpW9oZgjHIE9sBOOujo9%2Bv1%2Ffvn5h%2F9Eeb77LHuYa%2B94HIt1bArbxs6yU1iIuRjEAnYqZp%2BE8erqdUBRONnA%2Bc75DE6XQaiKGAySLDuqIjKVEtavhpXmSgW%2FmlplYChutYXx7Ay7tLsRZ5PWUePGL949euKoYPr7t1HOh2jK6mdXrVC5wHaoXLBCCp%2BZp8MeAIEa%2BOqmZtns6x0xC7KTL2yZM%2BMtlRs3J6I2pViG8q258sX7OOxndrH0tpz5ki3rzuqxivyf%2FDnN%2BWMCN1SGs8yIxKS3y0aDQdYTwePVm8EMVRGzmVDK5UepkSi6cntnp2Ku8ktw20SOf5bGNm4BcRXyGdhfcfkJ9jQ7%2FVXTzl2vfEZGRLeJB94%2Fzf4%2BLjqZjFi9cuWqJwDVHIFw29ha4V6a0wSQ5BSFrGxTGvV4uH30CFSfoEoJiY4mt0CGlozy8D%2Bo5jgx%2B6jmBbwy4BEI%2B9d3rHnZ0I%2FGN%2B7usnL1ey%2BxM389WLx%2F1%2BINHRbWXfoDLjz%2B6Z07su%2BYN73vyIFFvd959sV3qtf2nfFA35F3FQw8AoDgABCGcv7JvJ7iABSRUp1epgK3CYLmFeJ5qGYSi7k3IEsbWYFQyQrE9PWqJzjM14yPj2OHrLDdhgYZZafDrqOCmQ8UpzGUuFzsLkUnVHMYs4uij%2F2F%2FcJfFxrfee3ld8QDzf2vsC8wo5nuaa44%2BMabh%2BghQAAA4XW1%2FpMcNqJgMuooCJQqiPLlrxWvQhjgF8%2F%2FSgXTwej3O6M%2FNmF1x8zWHdVaFh%2F5uU3bnwXkmg1yXz6aT6km%2BQwpyW6LRdQn2Q0U9TGTotqUGOKqNclWAjJldKcyenwSZ0h8cyc75y5CT3v2xU42u%2BnL9p6UYpSa0Nne7yy%2B1EQ%2F7PaW6%2Fdbm0N88llHNx18ic5qnrv59RXv0YUK93QAQr1q9QNhhyCJ3ORLiskXFJMvtDT5KhocAz63Yu7rj%2FPIY0oTXmKdjuAkfHg%2F60QWROeQZnI4%2Bgq5M9oX4lybrUY5GWGrIBJRpnoDiChTUeOcJmE%2BqKL%2BGCJdcNEhlrSb%2BQ6T8%2BR887zoCZJPFyv1ZQBBscZ6pWKmQyqDLKBgMIoCNwcUdUrMcuuKmVot8AvlzU6qi9roq82%2F0LSFwoaNC69OAIQGdoRMVnSRY2mRUFAYoxcJlTDIOdBSfeJRD5nMSvEEu4B%2BdkS6svyKX6HWC0A%2Bi1c2Kd5c2XRy3h0mgYbo%2F4spg%2FKNEDuCzdrMFFACSacHOUgFevPMXj5rMb9CfMoLfOrSA%2BKF5b9KyigFJCgExOMgQVJYD1TWiQQEwrO%2BG5rpVFUTC3DfaPxsA1vG9pEg3dQ8jnwV9QJea2Zv0k3XKtUKsJLHIlEqwBgjmU%2FLQUfRp9mbCwCxTjhHHZIf9OA8AILRID2BkJ%2Bs1ZoxwDW1OMStBHU83G1fm5MZ0%2B4QzhUdK3f33F8MRKk50lPCUEXzoVc4K1NnTEvz%2BRw6yqMpYkzrFSFGI7jd1ooIt4LJFRHRA24o%2F98LVH4tX7NllapJZ7zS6LZn8QVeLKsVKjrQrxv43GPPvUychyc%2FVveH0F3HR77xCrNs%2FmPDWy89tOWB3js3Y1%2Bb1GPe7Jq5dxTuORZ11TZuHC3LD00fOhwI7OVWtVZygRPSeVUt0%2BD1Wq2mVGqiGX4zmNwOu8HOhccRljzgqoiArYV5DSXF1SDB1sddEk825YBijeRQiVcrvHAqyJ5Pv%2F3%2Bk0l%2F7GwKzGzQ6Wa811i%2FqXFjfb0wlJ1jP%2FDXxwMGLpdcbNHcsTuWvv7ll29fOPPJXwAQpnMOLxWGxbIaK6VuPU3ySmaOmQ0cHDPPzVmNGM9qlJ1DHgNzu6hmOGTcZXYV9f8d8HTbUOn8QrbvuW11Tz3swiw0oRPvyPQu96Sywe9%2B2mlNGRBlVqGU88fB%2BdM97E%2BVvGCx2CV7ht%2FhtgIgmqhez9mjt1FnRYR6bscerSYTkLTqvTcUDPLPA6osi%2BJOiG7ST%2F%2Fn2W%2B%2F%2B%2BTCTLMsNCxmTzdu3Ny4evOmNS9gNlr5647tA%2Frh0V%2B%2Fmfny%2B4Gv3r54%2Bi%2BfxLF0cN44IRk6hdOTDF4jpdzqtkrxGit4uRskyaUyyqIw6paZQyiRZQ632%2B%2BJsUuivNbh53Kb%2Bx%2F2JYp%2Fe%2F%2B7qFl8eecf%2FzBk65bfb7WQLstc2AZl1GMH9v3fJxx%2Fp2pttp%2F%2Bc%2FeGrS8oUksFoBYpHVxK3cVlMjkJ4UaSuj0GvhQMgKIsVkScspUqq0GtY98IAxWmOZS1p2QNgeJSXkPW3DX3mE%2BzrxreeANH3lObN6LH8KHopW83l9G3%2B3TugmsDC9PnPNkLgEKQuYQCzplcKIVu8HC4a56vQ5YpvYtY4ESnSHIzW6Vn%2BQzd72xlLbYWV0R0nXpFDJm6XKvOqvPk5pJekVxrm%2FJekTY2T7teEU9KnHUa%2Bzj%2F8pXd%2BrzbxD1uragaVBdAqDC%2BjaAUkrJv%2FOXKcGMXmJOnbhQXF%2FF3QsHJVnf87VhB3sSqoa%2Fte5X9jf3r7FdPzMgtC%2FccNOnTtwb3ZPb6ZWdOPLzh7amPD50%2F4z8%2F1T4uVE5ICkzt9ewxXYdBbfPqVx54ddvqMauTndXFnYfmBnY%2B2PS66ypEhs2ZFOn5IO08%2FZFvfn4cEPYCCD24nnuUzM5i0nFz7dF7vEkWvcMhVEQcNgOA3q0Y7xjlCatesVT2mALbtRUfM1P06cfm%2F%2BGZhgadoWD%2FjBMnyJuLfn%2Fkk%2BjrfHXnDOow4N5XP4gWAxDYDoDjxAtAwcr9tZ3PJCDa7Ga5MmImVlQ04%2F3EwqZSIqAJJVQc3NDQ1CG3TceObXI7CJWYU1Zc0qFDaSkAubaKudSxTZAEd4Q9TqPRrNP5kj22yognrLcC1z6ISzW5xSTOhATTljhb3v2det7Zv%2FeNGZnLt9g16B6h%2BaqNHZHv0yaP8TSV89QGJTzetxgMRqNOEkSdYHeYAGw2nY7KRje1xiKGfD5zeUyFyuJsRTUiQi0bdclYkzcER73JeuD5E2zOnB07dKSgy2icydpGlxLpQTZOcjW%2FXTo9NjcO5nNT4GQCoiASQHfca2tMVBjHYVRo6SRfJQGoCAfcdruDiz%2BgdwRo66xWHrfb4RPMPm5p0302p1UPDkUPuCLEt534Igi1bHVIVIgEzfAqepHh1bRDypryyOa1DVNmblnVsDhFl79rIuIAXcHhmYdfJicWLNj3cnSLcv%2Fzx9HjQmV99dDDg8e8%2BheuMZq2cnxdUBBOApeiri69x23S22xcWW02g%2FV2ytpSV72Jmrp7m4JG6NDUt95RNPXwJ%2Bq8d0XUSWM2dhSfU9EknsU6wSyDnOwzeLgds1GbYvxvmcVylSHFilGFxE4PYRT74fKaf%2FwOTZcvobX5lZ3PPffii88%2F10Cy2I%2FswyeR%2FAFNmMfeZ1f%2F8rfzH545p1j5vdyW1apU%2B6E8nOEzCrKsS3foHJkBwQhWq7siYrXprboUaHXDzMdZ0GLBqpaeO2hPAhMUr62Y%2BgRHrThpU8Niry7c%2BPBf%2F%2Bf7yzvryabGFc8%2B6xowcMRg1kUqqh9azT5h%2F1GcNr14%2BGTWl29fevfUeYVXHNNSlVexqMKW6qHJyT6bL8OfnOK1pqalecxOp8wtv80MFRHz%2F%2BY2VT5yJ1l63Ul6r3vQ0njtQyL9GzaIW15cvXnjnI8uf%2FfJ57P0SQsajObpM%2Fd9mHXp3YunT59birloRDO2a6z%2F9T38eEzFCzE9okGOpw1ywy6zXm8wEF4DsZrB4FYtg03rc2nRkaE5IY15ZEfvjt4eRQtfaahz6rrsFoaZNlk%2FfTbaJFSenDQjlrnS6XyW1twOtIplrqLzeuZaEfHYJKq%2Frj%2F5t8pdueG5kbsG25Hfpq50%2Bj%2Fe%2F%2BtjA%2FbXzF82%2BdmN88r%2FevSPL3Z6ftEjj7Yds%2BJ13jSzsaHnpjbt7h4Uvrdr2aAH%2ByzaXLm4R1W3O7p2KO71FCCkX%2FuG7BQrwKPWJlwu3jPioEKS1%2BC0OXtFLGGbVeaCkj1xU3kqIVjV5ONWqo52xVGXhtxKNuHyEMcdA5NSJuSy17ZurRiBXdlrw2vN8lyzHQeQZdU9%2F83mRWePngiAsIOvrjKhElx8fh86ZZPJ4DS4PSaz2aZzWdVV7TFqEbMS%2F4daVmW0rJcrhBY127EvX9TPNNQl6UP7Z7zztlAZLeMO6GMSvnpozV2Dj54hp7RcjgiVau%2BHAQ0ms6hHK6jhiJZl%2BNX0NFTicIYQt7ER%2B76ptuiMte%2FtYyP4oI%2F8o0cx9iPtrx6K5UpSgI%2FWinsblz4lNc3rsZipYBZ0yQ7ubnTuxCyYK7c2A1U2Z2Rlk8LhUHSq1BmbsoRPKeSfcBbp2qSdPsY%2B3jNxsk5nLHCcaHqjg0snBF7dzc6QBZ3OvHR%2FdK5QyUaz6j5l%2B4tJbXTp7trW9eRvHClACAIIOpXGzLBdFiVAUWlxQZ3RLaD1pnQ4ngmjmhUfYgteQT9m%2FJktwFVH2Cn27hFSQLxsGO6IfhU9jUdYD0AgfL1LfHw3z%2FsVMqnHK5jB7OBLO0UHfIJCVam1GRJo46KKOdrSUrLvuwFOnfnuS%2FtYTsWfl%2FStKu2xq3cXzuCVn9wf%2Bpn87mrGy5vtC03HtkAsZ6YPCZW3yJl7RUQr6npF0P2%2F5cz0oeZ%2FksHR0%2BTL6D5y31Q6eN685sPxrixetlPl5%2FYlJxu9AFbZRbmnpqlpTq09K3F7TdV%2FbpXcPJZTfEtxCddDvj7d3EK4ZLfHjedrpx794PFH58%2F49MClCxdM44aRZaRxE%2BaPjywnw0Zg4ebdS6Xj7NzZoCl4FhAvMxuZrfluorSo0RSABN%2BtlHzx8nKeJv3cDAiV7Ijaw5Oq4OwWDQ4H8UFqqsXiE2laujso0QScEzYFFXSDxYr7U7DPVNCV5Dj2pcRw4eKhDx%2BZ%2F9jjp45OnvHwVFIePIvB49LSPRvZ%2ByPvJcsjvOq5cRenZNg4zJn2qEvdpyXVQg6tAS%2FXAzu1JvkcpuoIdVglCaojEuTngS3pjfw38rSkOlOZT8nQVNOmbD9lKoU5HFg8t2TMUz2mRrqPyi95omTcisrHK%2FsMJSfuLFn%2FUKvsVinhsvqH%2FRkZSeoOPFuKdcJwrcuYCALV8343AGpSu4xtNPOWXcZcCQNO1%2FXt0PNKk%2FGszp3Ly0IVZPfVC2Lfxb3C5ZVhQDjK7fd5dVemazjNozNTahCARxo62irVJxKnwUz4SzDKgg%2B07k9ljt9sw2apra1KOJCldLR6NAOuqD89OWHNwpPHcdniPisKChY%2BtHv7My8sX%2FFdifTO%2Bxlov4LNXXfvoH7vstCH5z462QkQypUYSDzBpV4Zzk5y6s3mZI%2BdGD1OMS3dlORL6h%2FR%2B3xOcNr6RpxJIPa5uRWkRdPQzZ6Nm29lf5Lfinl2ypuduEqQxqONXTatnD0HG9jQblU05erVU2%2B99f%2FEEzUL%2B%2F1uGTs397MxS%2B7YtDz%2FxwtzsfO%2BU4psZqMkeIVtnHNByAibW0GmBSxtctLd7iwZeNSYn1gJchaVBku9il8r9co82Ja9clCxDnKwNLs0IXQ6VLV4%2BOLx8%2BeOq7t%2FUVXVgmF14%2BYuGrN42MKqeVtnzHh627QZW8mHj01aNmxh794Lhz059ZEFD%2FCHvfj7JZN%2BN2XbM1Onbd8BiscDEJT9Fw8MDrdzWGSj0WYS9URPTS6LW%2FYmGSwW2So5HBScbqsz3UmsTqvThG7JlATlWg%2B33RHrzL7lpjuGUOGj1uaovjBEKnH2HjYCJfY6dmGv72BvYGd%2BARu7j1wgZ5vZ3Ma57Ec08RslQBKsgaxUVYkkUR726QUqUDlmFjgmiYqtbgjFLYRiI5p%2FYebmnxVpXPuF1kupUABdeGdcdiE4pdy0Dj5fmkmCgNS13E07lbRqK%2Fn1%2FmCviN%2Btt%2FWK6OGGznh%2Fs4t9I39VVFmLztSUlwuwZdCiRC2l%2FKk33lG0dHD%2FqprTbw5%2FZmTxqMV9Z8yYvelw%2FcCqjf%2F%2B6K9P9H9t4KLl7R%2BcvmJR99W%2Ff6Ggbs3LPQbRnMF1WW0mD5q1NDW4IJjSKdy5prTH%2BklDl%2BfctXrZxm5rs9r27dWuY8e8oqHTRvWb0MVZPfnuKWXOMUCwWLTQ8eKH6u5TWpiTanKAI8lnpW495N90QCAhzctKeI%2FFxVnZpaXZWcU4pzgrq7Q0K6tYnFrUrl1RYUFBYfwOQGEM7xzvEdt5hxKeSwWDXmrNT0936a1esbSDZAKH1ZRuIuCwOYjJYXKk5AWcoRQByhNPBdhblgFRMxHuG90bnN2obu8KDjc3eYHM1py5DiFU2NqhNXTQOXMWz10weE77sRWvffDZq0880vHB5vXv4PB3les1tv2D02z76xP2YNvdezD3pT3s7N497JOXhMCeTTu3t%2F2dq9X3n575qfMjIXZI%2FQ7b%2Fu6brOGD0zj0rT%2BwD%2F%2BwB3P2xr8GQKCCushU8W1OdzqUhlt5pRQDokeJazP8rQwGh88D1EYJNTvSOakf3feGku9qVGpqG4xTV8ojfbXWGSt18iYUtdZJXEnDlt0%2FedPztWvHjM%2BbtnB%2BHauecmLUlAeov2bk6HHjJkhCcGFoRIcJs1jnI2OaCgRBqd8NhFraSI%2BCBGbICTupxI21YNTrBbMkWKwmUYegHGS5WbPRiyhjVuw2EAfPVEriM1kjLsUhtexzTK9lO0kQ1%2Fdk29mzvXB9yo23qh9EHfeDXhAhJWwiKKAki0J1RCSQr20nattixUJOXfM71Bv9Hhc%2BCdeuaV3LRAIbAAjXdUoX16r7wqGgF3iOLui5Zpn1JodXKu1gsnFoi9Pi0DmtjnQHAR63E4fT4bythikCCP22ZKVVoUS%2Bhp0Bqm51Fnr%2BL2UjHz5YPXLwfRNx36B%2Bl3eeXrwWxYbNVy%2F8n%2BpGrtwd7tNtSfXsNFaLo9jTdPZ89ub%2FpXB47YrkEiRpzW3r%2BoJ09UfBJLnmAoG5dBi5LJ5U83Z%2F2GIGp7L7nGwzHPNQhS3J7yWaAKe27LkytvA6c%2FfPn39g4Oqa%2Bfun195VPX3qwLunC2vmH9i%2FoGZlTdOCgdOm3l0zdZoiv%2FGASic8yQYLAMhwBiA6Q93NqCLLub9OUmpcstOLaHGCwAsItnQvZqjyadHEUVx6cz%2B0JMt%2Bsjy645vIQH91edGont0XbPj9msiaPXiIVI2%2FNHhk35IePbMLh0yeP6V6%2FZPPA4KflKlzBqAsnGkVRaCONIPUOstxn%2FMhJ%2BnrRKMzxUmcTl2yP92s88eVhKvIfTe2KDHRmKtlyd%2F2PpPpA3vsPbRzw4w1sz%2F8snbmA6Or7%2Bw%2BpUPP8mXDl2wVvqx%2BwJu%2F%2FYmVHWb32L5q0oAeXXrkBYa2LZl5056LnkfvwhP6xD0X5YAIN3pyAOvaT85494494cnCD133dnN3O1oEqNZDegiV4IHicLJoMOhs4HS6dC6%2BLeC2ulLMRKks6LWkMWHX6XqfaELKyMnTOhsGs13PNCxJNkz%2BZ%2F0Qg6GhAeewK698pKaNLwyr2caOScrsU1mzMEJygRWCYYcgIoBopDa7TidSq4jaQa%2F8RJkG7MortqVTEvILI6Z9PL1rzacn%2F%2Fov0pY1S3t%2FraYhx5WrKDBA2ED6Yh0dqvitsEECMJuofkCEQsyAJOqq2jzatUOseZR82L1nz%2B7xMwlZzIVNAOBQIge7xQhgUfrILXa7jtog%2F71CzQq3qDNoZYbSkOzBpo31obZtOw24a8BDQx4ubWIXRk7UT9S1Kckrtu%2BbHgSEvqQKP1d3kPleHwFKDSZuX2mGBGlK3sc5EGO7FpnEzw8MXLlQ8pQsvpNv4K4ld9471NP2%2FhFAoDt1kaPi26q3zgo7lONnEnBvHfMfbr3iP964r4XTTjgzJSYsWHJ0V%2F3qF3eu3%2FB8lN07fsKwYRMeGCZM3nHw8LPP7T%2Bw%2FTH%2Bb%2FYjjwCBau4hdsY9BF%2BZRr1AgMrEoJdu5R%2F4fBhELEUxdqM72c5aTGef1%2BIQVnvjPTGxCb3wfhzek01IufGW24c%2BAOIZzq8gnCYLACAbHrsGKMNHNDV6EPR%2FosTBA8ziYuCw7Tjs%2BThseQz2CwV2Ou3PYeV9xMZBVchkAMkvnuAQM34FFf4CxEZ9KD5qXmxUIBBiM2mNMBxSoY3Sba1zpQWwlbVVwCXk5EIqmmhqKj93lzEgkm2zG3tH7IEWecP9w%2B9rGZ4ohslCYnXDUm9MGF2J0ihbnJBfkf59Rs7q4vv9Y9X1ozq9%2BdbRTwPhSMnYbk2zOnXtXqqkXKHH1tZM7NOvw5ip2e0XjzjcWDEhMjB%2FyIz70jFvcU%2FeGRvmVKrdoPJ0bltbq9R1v%2FYaDgTdn4hNzIa84ltA1MLCGETS7SCOQSAGkdoSIv86xGsg3HKMrOsQE6CUQxiaKGmtgtyAkWIwIMNxKIN5QK4xAIk3MIIVnNA%2FfAdPM%2BwIOhPaRNEtuvROycm7kHm7iMHM7wabASUqOtByowkglmHm5an5G8bOiYau9y%2FSAF7vYVQ2zqR5UUeUXdxLDtMT0SMkNXqR9Lhag0cfURpetbZG%2FAvZr2jRHOZSOkc5ztkqzrMIAf55rM9N5VmbON8PqhxBs8aRmyFqoTwG4b4dxLFrV2MQyS0hsq5DTACHylWC%2FhhXgUA%2BgFip9id54Z5wod3t1glmAKcgCUk%2BrogS11erXC6%2FJJ%2BWL8jcIsuyoNfbqiJ6Kri17tNEXW55EDWhHZV7uVhLarxnM5QhVqpNqbM3bcJ9eBf%2Bbn%2F07S9xNlt4lIyKtaWSunqyntWxHSQcba5nhhhNYrmqS%2B3jurSmJdWx7jiVLwUx3sKsmLb5bgdRi4YYhP92EMegKQaR3RIiX4PgeGy65RhZ1yEmwMdxnW4b5z7CQrQJJmEDGMEX1st6ino0mXXgy0%2B0x2rMHLeOu0ewbTh8BHua7RiLw9m2MThS2DCa%2F3fbaLyfPTsaR%2BCIsWwrAOXzv877434CJ6RAQFkZnnRvmsAPExtcAA6rqFMCF0%2Ba32f2945YHTpRoDazQHnjnES1lrm3%2BFq4%2BYgL%2Fygm0lglwc7fxSoM1BZEj3qKzovZ1zsLv1479tEH9ykddGe2jnx04rGmh6Mjpu%2F9zy%2FNwbFk68SdWpPhmOUDNr2FDyl9dMMXV699l61D26bmvgOVZjp2ZRN9qTc7xVdOrI9LlUxpXLoVMfk7Nb7fDFELp2MQKbeDOAZzYhAZLSGyrkNMgA3xlRNMtEfCbHWUTvF5CmKjOFSQeO%2FfrHjvH9%2BpMOtFUbKDBB6vWeALiC8fs96sl2LdkZoVarkRrHVH8v9lCDcaJGexM%2BzzQ42NZ9GHnuYrO3mL5LvvUdvFy4zXWq%2FB6ei%2FV%2B5Y9yQAqv0oW6R0aK94ppxcMTUAXpMJUu25YkGhw5Hbrl12RaQd5LrV3S5tj%2Bvm0xpaZCBL2vZIQjWCo6Q2%2F2lnOTKUqE%2F1UYJv5ZAOKb36Lxv32p%2BOTCrfUnn27ofnjujZq094yVz2TcPf%2Fv7%2B58IPi6dX3OnPyC0L3b917LZdPTcF8w%2F0mVQxcHZN%2BcTisqHF1YMuXO0r7Nv3562c52pXkOTnPL8TACXovgLUVWlXOH6L57V56vN2t3t%2B7FP1eajFc%2FGz689fe%2BUW3xc%2FvP58whegruiOKsCNGRZehzj%2BcwyiTQwCqAIhKbtXOVDENWdkOJQLre3tedlIaF%2BWlJTe3ghi5y4pbYNtKyK%2BAqGgV6RD66BdECyZQU%2BxzqKriLgsNtBaO9R97viBxZsNL1corarUot3Jy%2F%2BqHSkOv7bLFExMz5TiAMaaVIb%2Fwg7NmPnUc0VVb4%2Ba%2F3xO8a6Hj%2F0reqcOO967tWbwurHswpy73lz03Mt7Jg1ZtfPpwzvoK7OWGon8BOY%2F%2ByddrEUqp%2Fie%2B4eMYP%2F9%2ByRWGwjyVpav5k5sXH9%2F5MVNo2XdQ6Sw4ektO5V1zXc4lW4kzreeMU%2BJFaqnVDtxVIn1ikl8vyqRVppEbn5e21993vp2z4%2F9rD7PafGcS1R7PsEQk1d7TaLX%2FgqAo9URXolZHHYXKGOgqI3xIgApTICovZYRgzDHIa79iUMMSoA4xl6IQTg0iG84RDrHQ4OYwA4CqBbHZ9d89VRlx1zyq6euqsJ5fsnUqhXwYN5jsTttkj7YRp9eETFSj91nsfLIR0%2B9LqSttY3QmLJw6%2F3b430QyITiIlAqxdlBMcj%2FlHpUk%2B6gRVqnV4kwil39%2Be%2FsK5T%2F9sUYXdkp9n3vr4YN77ll3OW%2Bpzc8v7NpC3vppe0vPUtC7Ev2FzR%2FcQmlWcInr25%2BcGHXgtrefZ6cNHMlm8b%2BtaaRbXjh4Aku21jXgbraqmOrzaLyJC1RNqNUrt0Vk%2F1HquySb%2Fe8drD6PPN2z4%2Bp45Ngi%2Bd8fu35a9%2Ff4vtcJtrzCSkx3Wh3fS2Ph2YhR9gJVO1CD4WTPAaDTSACKjsZTifKZjMqJ%2FQQ8tX1yhOfG8nPjUN6iccXE96Pp8ejezqVFHXsFCrqot3J8iefZP%2Fq3KW8Y1m4nPwYfwOUY3tEGCUsjvv7PvxEa3orl8vQ6iZn76u47uxt1M%2Bb2Kjnf3P2ZWVxBdGcfXw7QXSpTl4Si1SnX6L2X2yaUjNt%2BDw0Xd40o6Z25NzmV4rxTJ9pvAljfYjl95r63Iuxboyetf0XbEBQGjL6zuy7cMOvu8aRRcWffLRjTHRO6DzXjNjutSq5e2KSf0PVDI8mmZuf107VNOfWz4851OeBFs%2B5ZLXnE%2FyxtZarrfrYDqw6wr2xGWIjpKsAWu%2BI2t%2BVyXex0jOkFJfNZpfsrQMOsKeYPHqqT%2BNdjB7q5euvRZPnb3oYUWsXUUomXo%2FW9JUVbx7J4HugOKR748Sz333%2Fyd8fMwk63mSElTs38OYRzF9LmyID2Efsvwpjn83sV86KdcDaFQ1NOXQi58u3ce%2FZMxo1nF6Nmgn7Y%2FTmxejV%2BpuEyuv9TaJArLfsb%2BIw6gkU6UvxFLggHe4Ot0uSrE5nKpjtqZKY4bc6eDxpBaOR51hGGj%2BVwg8UUAc4b5zk4det2ia1fWVJO2TlvZF9aafq7NnSl1EYN4y9zJ7BYRgeN5RaonxdR8%2BRfs09fmXXEH%2Becs89LqzDiTgeF3ljSZmwlZ1m55QTGn6hNi32qy1yujAU0iAXCmBQuG26zkI8nqx8t7tVlk4oDOW1Mbbh0RHvSCKixdiunWg32pIyxcyKCIieFj7YoVjVRAeseV9R9a0q5rdyvYktTFkxnyvWs%2FNzup6pu8B%2BROnrBae6djz2%2BInL0aAOq4Y%2Fe8%2BQDVf9G154buPm5xvWCb3mrjKRjN%2B7vp4xEwtQh3q8Y%2Ba0KbPYz19MYDO5tw1mkLIPz3985rOPP%2F10x9NP7wBEE68Q7pH8YFF6wGWwWXmN0KJs3CSfKkwsE%2FIgzx1QzhIE0DR3nLfB89CcmUMWLuFF2u%2BWPJGTu3C%2Bt3TBoiIAgpP5iG2lhdp%2BkEMyxSpMejflw753u9KSrHUfcfpp29njxj46a8zY3z3YPRTq3rmsqJu4b9TM2lGjps8c3qFLlw78AkQdn%2Bk78TN1N5wPn%2BSzg2gC%2FnKrZc73En4mKLYb3o4vKU6BwvQ0olRTQpJEXXkDB%2FTOLAxZRpmn39tucP%2FKjIL21tHmqcL5rLZZnbvMquO3Tl1n1aldEci5Ff%2FFEyCCePMvngykw%2BK%2FeMIh5f8VUtYgffQ49lB7%2BR0HUNTpQenhP6WBBkscHEs5y%2BQZ1WF29yx63DMUTVyicNM3RdTpRZly061Rq55Od5RisXIk%2FbGKDPGARzmLjqmfcouq%2Fe4LkcAKAEQZizSpY1khOWwS0KwXbHbQUZP2M1%2Bx3pUgbyrhA%2FvjeGG9tcNjs9M6maNnb2B4FnXTeR1Tw7TF6DZldL0ZRcHuMIs2WRn9LW10DWe%2Fei9JQJ4ELUkjOsxJ7m6%2BQYbnXvbTY2Ow6D6FHh%2F7lTTBZZSVLOtqB8g4iCCHzeZK%2BdC1Y38ymWJ3vb5SBnteXszG7cAfyXB6EYzgPBD%2FURrIP3Wr6u%2BOqQ9OmDF94qRp5JtZj%2F9u9sx5C%2Ficym8TiHvgB8gGOwAEwU4c%2FM4nELJA1RaoJelK5ZPTbBAIlYikk0WuCInpvPM3e2CJ%2B16ASv2UpGqjUBAIkMRRWhRNSeqtK6QAyGYBkJXxUyYgEkE7ZYLxAQJIVjbPWkkXx4%2BZIJRzr1gnnuT0TQ2Xp3rTPZ5kI5Hl5NZ2wZDslYJtjN4kb%2F%2BILklMTUvtHyFp1rT0tPw0qqdJaUlpzsxM6BvJlJ0W3iDhg5ZN3bwwdMsfKruRW2ZQbuRlt9evdcorVpPyolGwuJT%2FdUDsCHUKOz4AWfRHQvA065Z1snHLxtW7%2FoddaNewgZANO4LY%2Bn9OPN%2BrQSxmD80rC7ed1%2FRm9%2FpuaEacl3tH9TwUsfXIpYPVzprl6o4iBXdYT0AUtDAtYc3y%2BEuJtrjkUwGEVlI650ylKvE%2B5ABA%2FHNTwuf9lc%2BBgItUcf0%2FAgZwQedwuks0ypTyaYjSqY%2BiqLe60l3E5aIWOZ1mxPuV70toergeGwR4g0v8V2eKi0otVJZJ05xV7GHcsHQO%2B0ESk9LSjDup6913x%2FKzVKdeX9THFGzb1v5TDDfpQ45bECoJ9%2B43cBcf0nCXXr%2FF8%2F43notvxJ6rVEnqc1TWG05X9cp%2BAAQRKWiHl2Knck80KgqljCAC4Aq1QvJpPHP6XaxCImp1FiUv6pwAUXstt2Ud9NrbHGJCAsQx9ufEKktsFtJBzroOMYF9EK%2FV%2BGK1mv8PflNJUQAAAAABAAAAARmahXJJOF8PPPUACQgAAAAAAMk1MYsAAAAAyehMTPua%2FdUJoghiAAAACQACAAAAAAAAeAFjYGRg4Oj9u4KBgXPN71n%2FqjkXAUVQwU0Ap6sHhAB4AW2SA6wYQRRF786%2B2d3atm3b9ldQ27atsG6D2mFt2zaC2ra2d%2FYbSU7u6C3OG7mIowAgGQFlKIBldiXM1CVQQRZiurMEffRtDLVOYqbqhBBSS%2Fohgnt9rG%2BooxYiTOXDMvUBGbnWixwgPUgnUoLMJCOj5n1IP3Oe1ImajzZpD0YOtxzG6rSALoOzOiUm6ps4K8NJPs6vc%2F4cZ1UBv4u85FoRnHWr4azjkRqYKFej8hP3eqCfDER61uyT44DbBzlkBTwZD8h8%2FsMabOD3ZmFWkAiUs5f4f2SFNZfv6iTPscW%2BjOHynEzEcLULuaQbivCdW5SDNcrx50uFYLzFHYotZl1umvNM1tgNWX%2BV%2F3gdebi3ThTgVEMWKYci4kHZhxBie3TYx3rHbGr%2BPdo7x4dIHTKe5DFn%2BO%2Fj%2BW2VnE3ooW6isf0LIUENvZs1gf%2FLHojJwdpplCP5gn%2F5gi26FoYa19ZVFOJ6Sxuoz%2Fq2Ti20IKVJdnqvYJwnhfPH%2F2f6YHoQF30aZaK9J8T026RxH5fA%2FWPW%2F8IW4zkpnIfoFLifGB86v0ffm5nbyRs5iaHR3hNBD0HSfTzoPugRM%2BhdN0x052KoHLBS0tdgpidAiEesDsgWYO73RWQz2LWIwjqnMe%2FuYISQtlbyf2NlT9Q9PoBcBnrO6I5ELoMeyHkNnIXGdv809H%2FDXNOTeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznO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Z9A7%2BtETl5RXdNNZGDm%2BvXYXWjgLDRzEhoLBAYv0%2F0NHAAAAAADBQ8CvAAFAAgFmgUzAAABHwWaBTMAAAPRAGYB%2FAgCAgsIBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDACAAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABF4FtgAAACAAA3gBY2BgYGRgBmIGBh4GFoYDQFqHQYGBBcjzYPBkqGM4zXCe4T%2BjIWMw0zGmW0x3FEQUpBTkFJQU1BSsFFwUShTWKAn9%2Fw%2FUpQBU7cWwgOEMwwWg6iCoamEFCQUZsGpLhOr%2Fjxn6%2Fz%2F6f5CB9%2F%2Fe%2Fz3%2Fc%2F7%2B%2Bvv877MHGx6sfbDmwcoHyx5MedD9IOGByr39QHeRAABARzfieAFjE2EQZ2Bg3QYkS1m3sZ5lQAEscUDxagaG%2F29APAT5TwRIgnSJ%2Fpny%2F%2FW%2F%2Fv8P%2Fu0Bigj9C2MgC3BAqKcM3xgZGLUZLjNsYmQCsoGY4S3DfYZNDAyMIQAKyCHTAAAAeAGNVEd320YQ3oUaqwO66gUpi6wpN9K9V4QEYCquKnxvoTRA7VE5%2BZLemEvKyvkvA%2BtC%2BeRj6m9Iv0VH5%2BrMLEiml1XhzPdNn3n0rj6%2FEKn2%2FNzszO1bN29cv%2FbcdOtqGPjNxrPelcuXLl44f%2B7smdOnjh09crhe279vqrpXPuM%2BPbmzYj%2B2rVws5HMT42OjIxZnNQE8DmCkKiphIgOZtOo1EUx2%2FHotkGEMIhGAH6NTstUykExAxAKmEqSGMFl6aLn6J0svs%2FSGltwWF9lFSiEFfO1L0eMLMwrlT30ZCdgy8g2S0cMoZVRcFz1MVVStCCB8raOD2Md4abHQlM2VQr3G0kIRxSJKsF%2FeSfn%2By9wI1v7gfGqxXBmDUKdBsgy3Z1TgO64b1WvTsE36hmJNExLGmzBhQoo1Kp2ti7T2QN%2Ft2WwxPlRalsvJCwpGEvTVI4HWH0HlEByQPhx468dJ7HwFatIP4BBFvTY7zHPtt5Qcxqq2FPohw3bk1s9%2FRJI%2BMl61HzISwWoCn1UuPSfEWWsdShHqWCe9R91FKWyp01JJ3wlw3Oy2Ao74%2FXUHwrsR2HGHn4%2F6rYez12DHzPMKrGooOgki%2BHtFumcdtzK0uf1PNMOxwDhN2HVpDOs9jy2iAt0ZlemCLTr3mHfkUARWTMyDAbOrTUx3wAzdY%2BniaOaUhtHq9LIMcOLrCXQXQSSv0GKkDdt%2BcVypt1fEuSORsRUwgrZrAsamYJy8fu%2BAd0Mu2iYFhexjy9FIVLaLcxLDUJxABnH%2F97XOJAYQOOjWoewQ5hV4Pgpe0t9YkB49gh5JjAtb880y4Yi8AztlY7hdKitYm1PGpe8GO5vA4qW%2BFxwJfMosAk2X9n9X2cVVfnA36pzHNHJGbbITj75NTwpn4wQ7ySKfAu9u4kVOBVotr8LTsbMMIl4VynHBizBEJNVKBAfMNA9867j0InNX8%2BranLw2s6DOmqIHBIbDfQR%2FCiOVk4XBY4VcNSeU5YxEaGgjIEIUZOMi%2FoeJag4mEB3PUOweCaG4wwbWWAYcEMGKn9mR%2FsegY3R6zdYg2jipGKfZctzINQ%2FvxkJa9BOjR44W0OpTKAskcnjLTcKyuU%2FSVIWSKzKSHQHebYW9mfGYjfSHYfbT3%2Bv877XhsIwGzEUaleEwITyE2u%2F0q0Yfqq0%2F0dMDWuicvDanKbjsB2RY%2BTQwOnfvbMUhiNPFyDCRwhZhdjE69Ty6FjoOoeX0spZz6qKxxu%2Bed523KNd2do1fm2%2FUa6nFGqnkH8%2BkHv94bkFt2oyJj%2BfVPYtbzbgRpXuRU5uCMc%2BgFqEIGkWQQpFmUckZe2fTY6xr2FEDGH2px5nBcgOMs6WelWF2lmiKEiFjITOaMd7AehSxXIZ1DWZeymhkXmHMy3l5r2SVLSflBN1D5D5nLM%2FZRomXuZOi16yBe7yb5j0ns%2BiihRdlFbd%2FS91eUBslhm7mPyZq0MNzmezgspUUgVimQ3kn6ug48mntu3E1%2BMuBy8u4JnkZCxkvQUGuNKAoG4RfIfxKho8TPoEnyndzdO%2Fi7m8Dpwt4XrnSBvH45462t2hTEX4Bafun%2Bq8jIzK%2FAAEAAgAIAAr%2F%2FwAPeAF8egd8lFXW9zn3PmX6PNMnPZNJMRRDMkzmDYgZMRRDCEmMMUPJIgZEepHlRYyIiNhRUdYuS4ksy9reLDYsdOmLLC%2FLy7L2CgKrrCJkLt%2B9T2YyYPl%2BD8804J5zT%2Fn%2FzznPBQKbACSTvAEoqJAdtUhUJpQYjBJVAUrKSkIOJ1ZUOEKOUGkfV8ARiPB7E72m87WJZF58ibzhXPVE6QsAAnMufI4H9XXsUBh1UpOJSJLmQNWqNsasLkKhsrKnA%2FT1HCF9PQzSAPYtD5V5PW4lmFeIK86EcCRbObLp2lGjGxpH4%2Bf0wLkjjU3NDSNGxYSMxbSdDkzomhE1SypQalCISvniob1lDuTL7injC1O%2BMr%2FxmeJtxeRt%2FiJviJ8mmrjFOr0BJCZ3QAbkQFu0ypCZ45HcRqNJQkiT%2FLKsOO02s2Ryudze7CxVUnw%2Bv9%2BtmKTcgEEymzPRlgN2e5rHaeOXyeeiisnJFagMOSsqSkr45kL8Tr450SfM5%2Fy1V66pGvBwTV1BcYcDEX67QjQkbo8cigTplyVI2OHh%2F6zdXHO4%2BiR6SjoxMPzo8O21h2tPx7O2lmylNV%2FtY5Nwubj3fXUA%2F8BuFveBr74CoNB84V6pSnFCLhRCL7g7OijfR7Oy3FalR49AcXYRFBnsQUcgkAYO6H15j6wiAGu%2BI%2BAo6pleFDAWKJZMX%2BaImNunWOpiskIVH796ewAqEzvV9gqX9nQ4Qd8S%2F1V%2FScSM%2FrmsTP9FfNUNIvzuVlRPMFxY5PB6fY6iwsJw3%2FJIOOTx%2BlT%2BWzaR%2BxYWecrR7fWFFanqi%2F33nnn9%2Bv%2BMvXr7mk933%2Fv5Gy3PrN6yZjg7WFV1D5s2oGoh7nx%2Bk2vvTrkeDT0HKlieXvvakkfecj%2F5uKnhm6iNHRk27a6bevTL%2BclH3ulVkX3cBTJUXjip%2FCDvBiO4wQ95PB6qo%2Flen0%2BWTRpofo8nLa04mB3UgpeX5PbMLEzzKz4%2FtapOlXt5a1llpXhN7FF7r8zJ37o%2FiN15Q2XhvsE8RdajOqwFyrwFGETXr%2F0F9u9dNnZsWW9869X1azow9qe%2Fkpc7D52mPRf%2F%2FHcJFrR1npvf9sWX336EO7%2F9x7lqeUMn6frt8y%2B%2F%2FZD%2FJjzecOGEAnxvWdzjpTAzWtHbGjRhlhdMXqvLVZSWnl5kpSoChLJVtcwXSPea8vNLSrT0dEnTegyPaZIUqIlJLnSKhAV%2FpfBuhb9EbE53bYVIM%2F3S45hfiZ%2B7th8IFPHN5QuXcscms1vF8kiAZ2qBsEEEFQX7FnJDeNy%2B8nIF2JLZ7%2F77DPtk3rJhVV9vefPD%2B57CzCF98cr82%2Bs631s4%2FvbxrKPf1XjT0Iqrh%2F%2BuafTMxR%2B9e%2B%2BmxqZnxzzx5l8embstxo7PeX0Ju3DjoqYJA7C611hyd3hAtH%2FzpD5jAAVm4DM6Zjj5C5WIAIu9DuxCIB0kuvEBAKGBbSTz%2BL%2B3Qm7UZjaZqCSBqtrN%2BVQgmAMTua3joeaMhBTicTt9wULS8PSj5x58eNk9Z5c9RUrRiPte3MTKzvyHRd5Yh9vFygP4yq3JlfmyfHG%2Bso1LyP%2F5yqgRNVjuDPclRSGvk7Q%2B%2FejZJY89%2FOA5sTT7ifVb%2Bzru%2FOEM7tv0EisFhErSJGUpbrBBOOo3ms0ypVZUVc0umUyqilarYrDxpN1aJrKQuykJwvwz%2FyPMUOCTXSqlRa6CiEzJy8U4J8DWf%2FjpM%2FeeOMZeLMKpxYqbPTyx088Oz8MKtnMuFqefm4gzAKEZPpUqpG1g5qivGRSjkSKAxWo2giJRKOFCysqS4vjNhQXCAa4Bxz1HEI%2ByNlx0FBextqOk9SjezW49yhaIHbGzuBtOggKe1wgFWVapDCXbdSNt5ghfoNCgMxLA3X1v%2B%2BdV%2Beg%2FvIsdR9MJYWVcS5rISqDg%2BCuVQQLkSiTc7QoHPANIGq49dw6wi7GwgmvujZoUrrSRNsaMLqjsmfjnkYu4aU6SlJZ28xECNyqt0mMrM2pBricBidueiNS5iDcRA0ir4h%2By4yQgGJP%2FDwLVF05IQ%2BW9XLoPLou6LYoTFPCnGT0jYkaV2kfEaBok8y%2B1kkYCeeDQnIEyQI2nUrlDE3kkDT3PzsfZhXMoxZHGw2OmTRl7w%2BSpLeQoW8gexttwNi7C6ewO9hD7%2FusTaELr8eOAMA%2BA1nJtTNAj6jJKAAZEs8WgqihJRgX9wJHOkYoXkf8iwR2RiKKqRRiitWw3lYdnr30cDzNae%2F8Tw%2F1L3sS5gFALINXpKDQgmp1pQxW86M3O8aoqMTlNtTGnSjATM2tjXEgCYfS3hKyuCkFHkzBeScI6WKhFVxLuD%2BEQLt4TkOo6CU5f1drrhvrrVly%2FdspDayfe%2B8EtQx7fuJG0HcbZLyyc1r%2B5qXbojtE1xa0dt4x%2F5c31r9hA6MYtP5DrVgijoiV5Po6KKs3MBOCVStFlgez8bG57v8%2Fvq4tZ%2FGilfr8pX7VqJm1EzJQGeg3j5%2FxX8ruWMbrG4oduFyXxMEFyQlkpkMeJTvhKbCMY1j%2Fo2ykPlEmSr335KxvYPvbZydev29P65KNrX58%2Bc92zfxv6%2BKil76PnU1Sl6fe%2Bl694%2F%2FzIweMjUO1ZPnH2TU3fxqa09%2Bl%2F6OHXAQgEAaSZuhddMDiaZ1epkRAzpTKAxyVzrnGh7JLreGi7qF1VqO5WvoGQ0DwF584uo3cpz4sCBzc9T9SAQPKgoqI082X2QfxhshCzXmZ5Jmoo6MvOYAk7gCWH6cudN5%2B98oSroZZNBoRWbuEw1ygDmqI9OZ36aJrbbTPYqIFmZrldRpdFA27ONADF4%2FHXxjyKYhkRU9LgYsIJ6e%2BpgHAkGUjkgUhLSBg2N9w3IMwpylMaKScT%2Fn6efcC%2BPLN8xActmMGOhu%2B4bH6EpsV%2FyAgOoO0n9%2F%2BHnR2B5h7hr455LAPJ1%2Bwc%2B1i1AYGhXOs6eQf4IR%2BuigYUp8WSlweZTnAWFNpz6mJ2u4d60kbEPGnUwENEvUTbVJbqTCjIAQJlPo8IXEUNdQEJcCAhMvd%2Fgvy8Q3E6TmsbErv%2B%2BZ2tRuuN%2F7f1X%2BzsNyv%2FvYhoN066sbVlcRuZiq%2FiWvuP7rEb%2F7LuhyPfsFPLMffdxfMnz7%2B1fu5qEc0RPdM6QIHLo14FgCDKRFYNMiWU1MaoAsLfupYpQwobhpDby4OfkoJ4iZQWPyy9jNLm8wLSdEtUyzvBB3lwOVwbLXYqnl6U%2Bo3%2BQo%2FHnp1ttBtL%2BihOZyBQXGwBS0Z9zJIGwfoYXGwTYYlLnVeWdKFwoCSqAj0%2FLqoW8qk7kShFiku3kK9cfCPVHyDedt%2FqpeyLL06zk4uXtU1DyfXfE2fPmrng0Ccjbhg%2Bflxtq7zz3ZUzXhrU%2FO6sjqN73mrbXD2iY%2FKzm89vbBp7Y%2F3VcwaOI3vqq674XdnlYysH1Ym8GajvcgekQQFURnOzZJfFEgyCCwqLtNy6mKZRrzd9RMyrUkMdR%2BNfdbfu7DIBzCIaw0J5kS16edcXuNOdBXwbyU1J1ewxtvTOqxtHP%2F3%2BJIOl3xOz3v0nmr9Y%2Bf2d8VNjp4xrbbm7jQ5mdazJdtYzasufW2r%2B83%2FH0fEE%2B3DTXbdNum1%2BHfd4stOSZuvMURh1OXnyAPjtnsaYXeumMPAnaOwXTOb4NVYT72PqU%2BxG7xcf6mPNQAQX6%2FIUcHKmcllV1UUlBRXFZdIaYyZNUjgzJ6Rpm8u6mKrApzM0vUgYbrTrbF2SFHbS18Xa5GhSmF5P7JYqZODSiqKajIK%2FVYNEqQIEZRigFxShVFwJURhGD6JU0ZlDP443kvW7ccNSPH2abWFfCns140peoYDeNeZHHSqlRgkMcp00ViJSV30QKhkjagSue7JMQH4304%2FFkrTgKC9Tjh69VLueUScBrhFPNVAUJJTKEur6Ce0u1dCFuorNZH28UayJb2IaDjjNtKWsWmioXPicrpB365FYFc3LTU9PA%2BB2dlqdhUV2QCMFCAazGmNBl900ImaXkg7mVCR4KJVkyfpRJFR5F86oRckaXOFoe0m%2F7W6YevPVY5uWvzf1w3P7vm99YGyIHU4139VjH6ob1tLvqqpxR9u2r5m2onVI9RVXsHUX9eMTLkxQdnCc6AuVEIv2VCsq3G5XOGzt77rMZaWBtEDvNOgN0au8hkhEMg3QTPzqkVUq5feAklS7rOucMleiPU7ivc6kQtuiYCqrfNTdlVF8fxLxCKgtj3iUQC44%2BjrzOa06UfyDSESH3x2j106vnpWmTXnhlT1o%2BUfT%2Fqt9NdGau79%2FZhf73%2BexCP2T2Pz%2FZefZXez6I%2FgIyv%2FEkRs7Yf3IFpM1FG27n5x%2B%2BNQ9Q%2FotPPTGQSQBH%2FPd%2F9Yf%2Fvjjne1sx152gh0p6f3eKHwYW3%2FEZZ93sA627uCCpcfMzwj7AIC8WN4IKljh6miAWKkBQZHNZgqip6CSZLOSmpjVSs0yBZocIpTouZRiZWGortKL8gsDiITjI5Uik%2BLHJ7FXiYTziRJnywoMgWdwNFstbzxXRcbikdvy72CqiPvXAaQznI%2Ft4Idczsm9VLdbktKzzeY83vfZ7QGDlqalDY9ZNLRSTbODPb0mZneCvyYG9BLcSxY9KQVDSTe5ArmSp7voCQYwWfE4HPqnwOu4AyOYNn%2FC%2FfPZh2fjx7C84%2FaZ8xev2nXHraxT3vDKpkVrHaacdQ%2B%2B%2FxGdXTuy8Zr4NrZo3PgNgDCXI%2FUBnh9eKI36VZeLN%2BNWnxscUBNzSKpskmtiJleyNBOvSfVEKuQRD2%2B0Iw4l2BUdoTI%2BZiikBS%2B9h9OfOtrxL7aJvdiOkQOHDrc2tEs72U%2FHmW846xyGi3DSZ3j9azd1FvUDImwoz%2BE2NIBd1OtGAIdVkjTZUhOTqWTlLbMzaamUcEELnGVzAbVA0BHKleew8ew2Ng534wR8gL3Dxq5ZjO%2FxGuQP7A55A7ubrcHDnUMBdY8RLs0Mg6L5BgnAqphMiBbFWBOzKNxLAnII3zehaKqJofOXXkp5iCsitPAkbol0bqDV8RN4ijmIm4tl7zK2BLqkUsalGqFvNN1AqVkBQDQJoSl5QlZS0MVSLhaCX7P9dHD8OHKMEwKWxLu8KBdxL6ZDTbQo3e8nNquVEFemy2DIsGlmjQdbOr9BNkt%2Br%2BzlsmTu1FB3wd0z5VlnstgW8BBwKLpv9YJL5RlPdMKNOALkU1L14E93sr%2ByVfg43vTxgZtW%2FGXnd1vevKGVHafhuOnyAlyMU3AcPjDybB377rOT591Y2mUHeYJu%2FUg004jIzW%2BQJFm2GGhNrMaABoNsUijK3QmbMnfKFN2XPIHtjr%2FNdmE5uRrDZG78Xj5t2EIGAOCFiawBT%2BozgRw%2BbSAGXiPLwM0MRsr79e4NCw4Rxa5IJL6kRnJurq0bOKEZy79hDV4k7gVL5JHn1l4AdgYS%2BtfxVS0wMJpjIcRkNiOAzUBl2cq%2FUrNZoXwP3VtwpgBXF1eWAOXEQAdVfSMRDKBcx1awhYvEZm7FB7CZETKxJf4D39CN6%2FHf8XkJ6VIlly6LPUkqBVCQArccJKJUl6GXoPq6r3PD1MsbzldfSPxvRcyR3dAvmukGo9nI1bbxUPHKisdJjEQxq9QGilBcN36X0mUp6hA6Y9DpEYujXuXykscVRBpkK4wudhzbcaSC07GdfUgtRrZEms9Wzok3cw1WSi3nqklH6R3oPr8kYcedOm6WR9NMYETFagVwUFlRVM1MVW5RVLtHv11adI%2FEnAKwL1KEcM%2FJO9nv43fpSiwh81U7%2BqQGdrQtXseFv4FZvycdQPQ8%2BVKfDHgE0jgAfBZF8RpdNTGjRO01Mer6daQROSBexQQy16Hxpkj%2Bkj3BXubXE3gz1vNr%2FPlDb76Bs9nSNzaSY%2BxxdivejVP5tZCj0mP%2FOYvf4smfoAvtpHU62rkEFkhGowdsNrvdbQXBV3ZNM9TENGr%2FTSzoRn%2FZLXHoEyAo4ckJSx%2Bau%2BBBspEdYacX8yA6iCb0UGXmlKkTd504Fz8rb%2FgchAXYat0CdkjjEZynUFmSCDVIJg9AhmYypVOVEwBXRFK5UWSV22N7Ev4uHU92T9OQe%2BLX7PPaKziWzWZnfL9pJMZW1bO5OPS3LSUP1S3lg9poocvnk0ySppm8njQw8cTzu4wWMA6PAZgtFm40C%2FWaRcikzJbSWfPzuXKqQ0sxKLdfgl3BF0A82brsgaXLW7gB12EPzH7oTqxuZWvZKtp73M0Tm%2BPz4vvlDUeOLdxZwVwPk1KRVS2cQX0ce4s4n%2BRlpKcHICC7LeCGy4rdAbAELNlGX3ZNzCdRYyq%2BuhvwVHHWrRpn%2BIvGGoVFl%2FMhDadWMcJP9LZen9cr%2Bdin7JuOx%2FZeN2FqnzFL7767DtWvZu2f2TrnyermlsJrn977BC7f%2Flkz5g4srx3e8%2Borqypveeqmzf8qL%2F13n8KGgcUDKqrHbRP6FwNIYiqrimdLCgBFNBhVKlHOuxSdv3y2lARgcoLtYrOlOn53IGEMEF7k%2BdXC13JCQdThQHSbDQaX08hRhsdSYuuXVBAOtyLx4BHI6%2B6CYLnlEXbyLfYFex%2FD9zz7BAf0ztqVZ%2B7EwHn6YufCPz33%2FDraBqjXfyHBI2K%2BRonRKAOiVZYkC3BDJ%2Bq9VNpUJOaj%2BsXtVx6h57CC2dmLTMMKdPlKFXO0a4DY%2BdTwvZeN%2FqJLhrqRy8gSsx%2BT0e52yQh%2Bv2ynlszMrKwci9mcnemSzdRvt6NJiOSi%2BEtCbgo1UyM3WkiKOMKJUtMlGvCIi78nPihD2fPbzWFJ6WPdxqngfix9q9Sr9HQdwoJDth5mUy%2Fnm1hKoRixV%2FmpUJxwVT85trLi1EAa6twb%2BaS%2B9uuhNBsStmnSbVMVzTXLnPpUo6oYTYpJ0C2VLGYDkWXJqFCUkhDL9evG%2BooUZ3VpjZj8Izex59h6fnXg56wfNmF%2FDGMtC5Pi%2BGHyHdka%2F47Y4j27dJCYyF2B7wZVlZEQEERvNFFF4QqiSgVDdslOjEH5Z65AarLLowIDZAGWchEZbA%2FLwDo6mozsXBTfQUqoXleVJiZ0RugfzTJISFUVEExmlYuSRP1I0IAGUcZdOgxNpl1qFqqPbALSzPPvkbfjTVJ6vIrs30m%2FRXi%2F0ykkLWUbyWw9T7KjVgXRIIFRJlTBfN2EuvH0BNZX4iUpmc0y8bOPPmIblXMHz60Xa1gA6MDkVFt%2FZIKYnGpfnBa6sUmAHY9%2FmJhqI4S4fJ%2BQL55xoKIY%2BVYNoOZTiaaCvQtCfCFHMMy1CH34IX7GMmfKjQd%2FUoR8AzFIA%2BR3QIHeUTdBWVYkSTznFd6SVJko0DW%2BxLKLeyTRZYcwiGjADQ%2FjqVO8uP6KGOiGzmqyKN4maq1OtpHWXhja9SRIRonoRhEaJZ5K0NrOFyl%2F%2FvMAAGKNdIQ%2BqATAwK1gBjVKRVTIdwCUpB%2FrioP0XWLww7EvHPD6PGRL5ZkqbKpcLx3ptW2gZ%2Fz7GYIdmjju9pfm6E8Zq6OFTovBQvLy%2FP78LIMhaEkbFrNYZLfbPjjm5jWdnDM4JnvBk0Az%2Fy%2BZVYSeXlcUJWdMvMcN9%2B1u8h0omny9N6YT%2BhuGr1r0xzd%2BOr%2F5xbv%2FOn7T8Y9PswO%2FX3znY5MWPHHDsNfXvfono1K6rn7f%2BK3vx32E27h55MJbxwOBFVznDsUNTsjh7BvIojRg1Mw2n89szrWA2WPUFFDSh8QUL7iGxEC7mCz83SHi7H5mUeZ0aISzRVANCgTlw1AfH9d2D8WobftHX%2B7YNsMT%2BhpLLZbJM2ZOJJNvaZk%2BQ5rNdrPv2XH2t6XzFTdbPuiJ9jP3rwh0PPOXNWvWAMLoCyfoMWk2eDi6esRYymclxCubh8RkDexcM%2B%2BlZZJuOTk32SdwmnJoYkjgUBQyIf4DZqJx81Mjh9525cmTzcuHVf%2FBTQZgFvauOZFVwBH49ZIydr4kH4iQK81M2CcaDRi9Gi%2BobTZhqFy7xwIOIyi6fTTdPt5ft4%2BoT4Q%2BecShOXlPGioU%2FBLkji3iOnVPiAnZ9vHnOw9ON%2Fmw7Jv%2B1omT5kyVp7dNmDnLjWVoRx7zq9vG4YSfTjyy5vt7ViWNk9BynD61y%2BDMEKROSUpzOLKcJlOm3%2BOkzuoYFVUUVMesmuoZHFNTel5aloiry3bI3RbgrbNeR4XKwOMJ6AVAxMMtOP2GaQZcT2aVs%2B%2FY3zDt7LdoiJfID985vmNc3Qb61PyZM%2Bd3NmAPdGAahth3Jx%2B789Eel5%2B4rCjB7nSOkgMeuCKa7SZElSn1%2BqwAPhndyHVz283akJgZqJ4bgp8v7QVDiRwWFgxH9KfOeieocBWpiZ1l%2B9eu3bj%2Fufm1o2uv6ocGOq9zCZ23rKHh3ZdLPsoafsVgoKAwtzSV26sYyiEKd0SrzFlZAwZIfRwOUqzmSkGUpIHpPXr4fJFg8Kp0K1jRqlj7qv2GxYy5Eke5wr7FpDpWXFxYWDksVqi5e1fH3BkXz%2Bn4pxIOWz79gRHv0LneqJs2FQ76ewKfPao%2BpSsqEvmsj%2BykQFfCF6ZeRcGFyUQK8v26El%2F4WGzqS33OfxjpXbL2ndc3sTfYvm9%2BvP3WksHVg5tvOnmsZKGTFc2buvrNabOfa5w5%2Fdrrmura10otT%2FceNqZjJ5Xzew187smt%2F1i1bPw9We5Roeh1xYVrZ732vkM6L1UOHVlb2WcEHT5q0qRRuwBhBYC0lmeDB8LRdATw2Y0Wg8Fo9Nolp1MaEnNqJkCjR6D%2FJfU5336yUOPaKqJJEuCQeFQirWX7O%2B6YxfZjqapqE%2F61bQ958LsXt8S%2F40CwpeDekav%2Fvh0ILAPAD7lsA1jEZFcyGsFksprtJg9Rr4kR6DJ%2FZWoO7uobKtNnnyJUlrW3X3ttO14phMgLHn98yIjzPqkFgFxoY259XSt4oSTqd%2FL0JgaDT%2FNcE9PAaBctOk%2FsjOTEKYEwCRGJxwB6tajQpMDBcxoHXzN8CJbum6GLZe60066mRmnd%2BeJXN6mThXRIWPMH%2FUn%2BNdGgxLmTUKrIsmYzWa0Gg8lkN4P41WCzUcXkofbu2oTf3cjSZdpuokXRuGOyi1dx22KswGZWhYd5AffOIrF9jYxdh40sI74Et93MVivueDXr0gYPcG0ouF4DRIkAevQioLvExgPivyvuhO7qQJ5BQRgeLXS7XPrsKDMzI6PAajSaTPkuq9WRKzu46XwOzWzPRJNH7%2BG7krl7%2BOC8ePqbjJDCRIiEfKFykdziVfBd8q%2Bke9n%2B%2BuvnTGL7vy529F437Xwso%2FdL097ZwvbVXz9jOnlw3rz12%2BLfSS1Lh1%2B%2FurZpy%2BF4kfhtxYuQjGCut1tMFxHAq6vrscoOoatQFU0Xx29SyV%2FXLRG8TS0ierkyof%2BZtWWXEPbn7boC9dce3JHE5yf0pzhpostXLJYMcLnSvcYhMa9mp0Nidu8vu%2FxUrvPeVQMOCCQs6MzrxGVT5986ecr8W6dQmX3ELvzxh7swGyl%2FI6Xt6%2F70Qnv7mhfYKbbnQTS8jE7s8wA7B4LrOep1cC1ckMMn1Hl%2BRVFNlKpZmqrlcuQEq9U9hBOEwa5mQEaKzBKmSBWoSQVlTvPepDFCnPndRKFJtuemosq2GZrG9p%2FtaZv8wfaPbt58TGf7vePdSx%2Fwsv5K9SPtbB87%2FT%2Fs7H10mU722JDgM67pTN1euaIq8dIsyh%2BTpOUZ%2Bfg6PcNnz%2FZanE5V4I0FhsQsv8m6iSfIBUmS5S2dL8HBXl8ook%2BLIkFBaLdMkafPPzxZ2v7R5zsmPXeFIQMJ22e1lq48uri9oOMZ9uLa9lNYiho3Z9%2B6xqU%2FbcBDAybXN3ZFFJ3LddVEh0mcejw5BCxZZVnUS7wGFxqlMrTMRy%2BJIqpdWewrCD%2B6iu3%2Fsre97yvSbCP7xLR8SXyH1LKxZTYkqp%2F1XIZ4dpmjpLktAEU5bnchWNw5lhxTli9rcMynUdPgGPX%2BvJ2%2F2BgiqPTHK2HB5clePsGgXCkPt082oetPnbx1%2FbDrDtW395oycuG8yJd%2F3%2FXu6MZHa5Zcv2zRrf2wZn1HILfzsvKx%2Bb0rCstHz73%2B8VXN%2F8y%2F%2FJriK%2FqHR%2F%2B30LeE6xuRa8AjToRYDHa7y2UyEIfB4fWZnHbn4JjVYrfL3HVyQt3QpktOVnRhgnBcxKOXvoLpIyFPwCO6cjK3bsas9tdeeHRt8xasYDuu%2BTD4aeiNN0jGwgknTn4e%2F%2FyqK4UOT%2FGc4zM%2BcENZ1E8cDrfby3t%2Fj9NoJ7JNtumyPcmJ1sVDgItr7tQYgH%2BgrxdrpR2zt72PpSLjsXRp7XUHt5Mj8dki4Ynt%2FEpI9JkPcrlm6BV1m0GWiYgIK0G0GNEuC5llKWndDU1X%2Fx0SbTfiOtaElf%2FINyryZYexkjVJLfFF86aMXUzaumS4AZRtXEaWOMsoSyaOIVng81ETVTMyMjNzVEXJ9plMVLbbMxQ7yDqidR3RdPz2LIDSIO1WQ8wBsin%2FpGskRZpuUfew19lm7LMwJ1eRcrT7sG6R5NCsqBgvN92NPdk7uARPdt4vtTDH4m9q1lxH%2FPGvvE03jMkcer4XnuKKI5gApOW6bWqi%2BYoMaKSUSAQlGWWzQVWtfIZmMSoUAA1mj4T2S2cBqaROkYZeq3KlhdkClOu%2FmD2BI48cxZHsMWxja46fYO2kPwmyZ7A1fiy%2BDRewhcJLzK17ycs1KTC73ZrXK0koahm%2FJgob%2FpNT8no0p9XJMTHDAFyVskQJkKKvhBlTUzxHyokifvTqgNsSaw9mmBRz7n4cwoqu%2BvcfR9RErqqfl%2Bfkfr2%2FYcZNo8ic866XXnR8Z72xNZI450HXce2MIn%2BoKqkIYDYgmvQhAm8c7YR%2FMwyOoefSIULSSMJGySlCWEwR6LrOB4nC0uhAZiCmDrLp6%2B3xekDI4T38Id7D54ipCHUbcnIcfn%2BuNTMzIFGXy8qjKd9qSbTzYosp2hbbF7bnuBrm%2BREWRw08Coc18VTQ4xFQ6%2BEJhDmL2m6%2Fc%2FOZG4cpn31T3XpmM9quH32qucGAVz7Z9jEdXMUObcyzBF8xskNVg%2BknbU8BIO5gJWSlYgMK7tcIpZJMAaCyhONDYlbqCOKOo0cV29lA1ylOauB7yBN7yOHlOmgGQ75bkoI52TabW3Z7qCzl%2F3%2F2IIuHzuFynuSi2BZnlftyiBSnzxyCyzwcrImh4e0Xbhz2%2B9mfKtWtL7xTP39x26LeM2aFPyFVQ7CnuWmyw5K3EXsOrqIfh2dPY5tNjY2nGm7QTxGQIqmCtoEHIlG%2FAg4zmKnd7qNeu82mSJSaHQ5QoCRU1lYi9ElBdqqp5pwa1sv%2FRAMmELwQB0baym968pqFwxaOC99ePv7pgf89chFZcXX5l1NzcyPRii%2Bnphf8lzhBwpbiQanl0rP6Dg26zurbad4v56mukCugE0Wi7Vh7JsTasSV5lIO0dJbKBcljHAhLOdJqfN6cwad7QYchPV3OyCA%2Bn4mYMrPSXCNiBtuIGMiGNH4pGWmKygXqpwH4S8%2BePzvOII575nOCTh4R15lS69q26gmSEBt94OCr7YtF6z7vlm8b7mpdcN%2BrL%2FfHcyhjZk77c8arjmflv%2FBn9kZObzbAuFFEB4A0ST%2Bd2BztZXeaidFqTfd6iV%2FzO51ado7Fn%2BavjxnT0sDFqcleG3P6QR7xs%2BNNXUfUIJTSVqjbjT%2BpBpRfbpXXFSKawsFwiBuQbNyyZcyzs2sbcS679w9k3%2Fmvbhr%2B6qufy7sbvojGrt10dOm6WtZ5ttes1keObtl5BAjMBCYFpHXcnkW8R87TLC6j7EsnBrDZ8jIhM%2FOyYp9LSycWo2xQPZ4ctYBHz%2FYyHc11H2qb9S%2BiA4oURXyC3SM%2B0WGqPrVIoJJaFCmMXFRdbixfuGzBqEk3j1qwfGE43Pbogt%2BNn93Y9siC8v1T6%2BqnzxxRO50cnPC7BcsWhCMLly6MTZs8uu2RtlBo%2FiNtYyYOnz6ttm7aDBHpCoDEp%2BPghZnR%2F7I53U6Plce2UaYyMYkJqxeRED%2FHBp%2FidDkbYkCRuuwmm93WEFPtdgt6FMsl5xX9mtiW3kNfypcpEhAfkgPKkCfoEXdAGF7cGCBD0YAVbOGWH374gX38448%2FvsOW4BViZBv3vHrfq8eO8RdyHMhFiKNCMGoniiKGmUaJSlTVsUcEbCpFdAhyJGBIAFHnAbag8wAAgUm89lnw%2F0o5D7g2jvTvPzOzu9KCJNSFaAKEBMYHAokSuQpiY04OODjYsWxCcjbkNaluuPdyiXuaS0jHpPfeE0N68fVO%2FObSe%2B8uy39mVlqEzr76oeyi%2BbG7U3bK83yfkUZBGZwCMyKlaRaXRRTLC6E4JyfkAld4DKmpsbkrK0ttpSafxzc15nHqTVNjepQycUvmivi5NiuyMYtA0qyNo3NOVr9OFfZJmt75WUW7VMhOWtE4fsubj9zRP33SzuaW6LxFB3rWTJj4xSuvXdHyYsOAb%2Fbpj257c%2BOS5s4tvmrim7appHXPputbn8kPlVdURssit194%2FxklXdGr7p3261Hh7uKKUGH0uu2nzi8Pxya1V5qmAUYu4UfygiRwVi0%2FYrQaWIvIdGcQ4pBB7dzU9snCdpLZJF%2FSOXJNjdRPPa0uMhVd2TKurqk5Mq5FXFPXEB0%2F7ucNExvqGieOb6wDIIw7lSbR99oBPqhmvm9ikm0mm7%2Fc7yzPc%2BbV1IrpYEmnX1mlhbZglpActKMVbEo36zBrHWyifBGnSASrw44ZvIhr6bwgFCxiuH4R45HIul%2Bc91p4c3j55tf%2FfvilPddGFx5b8zJqf5X9DCi9v%2Fm10vvcrj6U09uHsg%2F0Ke%2F29invHSBfX7VJ%2BTAv99nwkcNvfNd82xjlI%2F4%2FSu%2BrLyi3%2FObXaPaLTJb0b6xlBfCX%2BDHKMLqgAOoieZk65HLlmXXU56PLK%2FRmGI2e9HQbys4GEGweShSEA0F1mAtak3BQbR1SPGxVVo3K6irbp3YM1ToJV3pGr452r7n58XnrWi6tr79h3tY9yqTy%2FKbYvMvxsYvGRLrPu%2FBCWegef0l%2BcNcmpeGP%2FqIz6oqkNPas06Fd6BEEkMAIbZHRaUaDTKd2RMKCgERqGDdkGNkrBpBGCE4XBIMoIpOMsR4lWko4kLBqJI%2BK5j8Faab66Q897w8yR4ALIR3yqYfpaPGg8hFyDSo70RG06A12%2FoayC49HL1E%2Fs9K3DL2QNXzKGb8fhTCZCCJkRZgzSkcQkogAAdYJoQTf6LXQWZQQHjx2hLz1I7pgEIaGErEHWAIzAAhaezTEW%2BS5kUqBYFHUgcViJEbamxB9uT%2FROLFE8QLBIegdsp5%2BnaSN8spKbara53ErgY4FlFnoIwadmhP5X7VaYcvuz5QHAu8h%2FcO3K%2Bs89eFTJuceP%2Bdft9utd0xUFqDpyj3kqh3K1%2BH6uhrlzX%2FZctHQEckuSNLhJG8MjPTGCNLRbwWDZH%2BFr%2F6Jm7D5hAmyIDMiQ0ZGTrbVkMkqRQ3FUq17vL06HSowmDyctbXd2N5201ln3XjW5a88G6uvnz2nLjJHWMg%2B7W0766bZL10emd02YWJ7G%2BNFAYSwiCGdcx%2BZGTqdRB35BoSomd9sMRrSZYQkAYOKeoYC8S5MM5WnxriwyfZwnAs9I2%2Fh3kG0RVlFY12UNylYiiCAo%2FgZTriVRKwOA5LAgiyuTNnkwQ4Hyucer4lJXb96j39EPHUF%2BJnjK%2F5%2BbriipGXeqiuf3np9%2B4YudA6O3jbYEQv6S2bt37Cle8be7rMBwVgcxo%2BIr4APJkRy7enY7QbIl%2FLTzVK65C8mdrvDIed4PSa5IIE5pbQ8dlABTRX6S6xu1DgHrezj3QjuuaN9%2Fn1P7N541ards5oXtJ3REgwFWsOdE%2Fb9v3W9wlu7a432i6at2N7wzOzzq6tvrAr76ePuDExYn%2BqLI0JEDyCnCdwXdyjui3uFjR%2FVNMjMIUk6ao6YiGZWHZ0i%2FDX75U5H1aEgAOK2LmrkhkxmMUmXJFnOsjrBQR%2FdrXNlOGl7yiCq4Y2Z%2BzTTkbYwT8qwtv73xo0CxS6XhZtDZ7WvpVaAD0ZnlC6fNWF%2Bvigy%2Byj67YoVdz%2FPrAF7Z8wo%2F9mM65SDUhQQLFSOCbslO2RAIOJINwsiAoTMFr0emUykKWYSWc8XiHtk4gMlbe5qgAb7UsMIa0IFwu6bbumd0PqX1%2F72IW5Tjkmn%2F3QfCVmPHEWCwiKd8Cj0e7KGEUURmUU6Ebk1RiCQCHSypSLhfEr%2F%2B2Eqe2hQsaNeALBCVcRlNjI7Fh1Y7Gaz0W60ySYW9pXNXt9QQI0EXB1%2F3PjAIiZPQYprQ3RWgnr3Xd88KXuOu%2FGW5v7s6Kwj6xc5btOZJpzh7hmf2cktXDiKGxPRSYI8MjopD%2BWfMDoJeePRSb4QbvyciNkVzReismdxFD2z4Oyi0vHr6MwOwnTUfEt8ic9KPBFjIvYqgzhkDw%2FxTGK3kxc9YlKPgt969IarH3%2FwwP4nFG9dY%2BPEiY2NdULbnf0v3Hr7wAu3dHR2dnTMm5cy6s2OlKZTy49OL2AW1Ib01FNiGh70BD7YIdHEB79%2FOej1B9UBL%2B6NL0aoFonqQehRdg4ip%2FLxIFqsSMPn2KuMXYbaUNsyJZw1fMrGrnIA6Qpa2n5Y%2BTuAYvg1fgUA6eAP5Nrjj4L8IMFW%2BuJUVye0D51Au5h8T7W6B7CZSZlyNlXeJ75ClUs8XEnM8as%2BEb9qmXpVwDBeWUH%2BLLTzNU5DpKiQug4YJk0jh0pMoyDbnI1lQp0JPk9rzJdhoRy8xZvKwaN4g9Cm5HHsnddbrUub3bCVWHLF4ldiF1wYPjM27aFzzp37w3lvHP3F7rOrUcnw6jY6d1dT86yJ4eiY0sOnTO6%2F%2FYLru%2Bj0cyyamXhHhoZU2lu3GPuhiOexHiQ0HfQPYqfoh9HVJ1B0w2%2F%2FheIgzFQV2SMV52iKgYTCOlIxU1N0cUXaQwR7uWRYkxbXSNDfPYvXhpfEa4MpdD7OPtrg4sg4yUbMNmIRLCjNZEJsvgbgEETRbiYUvqb4syENGQkj%2FJFkkzkxTAQrMmlscsKiQLvUAAeUNb8G7yQ062PCs0QKkEYsI9rR6nzH9imOvcoLeLew9%2FghbKIUT%2BhoLlq5jiPvcYqZDnXNrC6WKXZGjNP8%2BVlGYAXOBfY556p5%2BZaodTT0KC89ZE%2BUXqqiG9pSFPdShT1JcXDoO1XhHnmNmZqia%2BgnXgMYFag1wGbucZ7cAJnQGCmivUCW3ep0GlBamtthAIqVWwGovcRJi9eKLYy8TgmP0%2BBgddahWmkscQqUlpiPo4MhBwPPA1tV5FzFz7cKwm9%2Bd%2BCzzzahATIdd1Du%2FG5GoOPWnR9%2BofQoyl1qHsRXeDuriLez36eUA%2BdUeTlUxtt7N1fgvJMpulHDv1AchOdUhXek4hxNMZBQZI1UzNQUXVzB2vvoeGkj2IAMglnogXTIjaRLBGTZYORGZXcgqMUn8260FqnLBlSM7lL%2BuB%2BVocqr6Rhetkf5tfL7vfj3qKxH%2BSMavZf%2B%2BVuaSiUAhD7DLeIHkgA2yIZCCEdyXJ4cuz0tB9LAW%2BTMK3Ab3QxXJQWpdOWImbyK8arGGFaJqpEG2V2IO%2FyqihEFV1Wm94Xts3tnv8iA1RevaL1x1sDRP56CjrR2UWL1%2FZBiOG0%2BWqzyvXWXXHDpANrEwNWGNfM3DSi%2FfHYJ%2Frbsp%2B8e6j5uKR4aUmlIXgO18Vocrdaz1uOkKrqR6V8oDkKPqsgfqZipKbq4gr0RJcl9kqDwq4yNv3kb1KtYuCSJSmbrqZpIDiOjjbIoSpJTMDbFZEdTTJAFWdIRyZowKGrdjOZBjePIDroW0tZGwh2UUz1yNcPaH1CQ4fikjst3rbt0NcHv%2FagMUij5c2Vc18rz5%2FNZJM3JfMkD1dAaGU3tegXFxQDlWSZTbXkgUGPKKtBBcbEui2SWhkqnxEIQcFgyozFLwnGq7ZUx0g03TH%2FaTYLqcnOkuuX8iaFL8zhXsVAn4a3SSDRSWl1%2FRVfoo3fmXTau%2BubIbfnTo2vnNjQ0TVjXsWQjbb4%2BhL9FfuGvkV%2BcNqai1JldVTJn7srmu%2B7JLfy6KLhqVGhcaeOylsh5lbWnl49r6TrnKPVMv%2FLO%2FazH5ASbVEBr5VQ%2BUtQfAPb2jbbEazY1vfvCE6Xna%2BkHfxhi6RUj001a%2BkAasPTikemClt4lAX%2B3T%2BGCYcUDmqJ%2FlKrwqwogTCEpQjeUQBBOgS2RydU1JDM%2FP2g3GoNBuabG7%2FGMKZPlsC%2FfW50fjVVXsyDp7OxQNJZtNo6aSoF3p%2BS0NFDHPHgbYiBJgQZGv%2FERLZmZ0t5q6wkJKnqMhzBz8MufZG0ZXsZRzHYYrWJk1TDShwoZfiVWbn2rce4L19%2F03NdfPRtr2nHzvKc%2Femdx%2Fd3LDyM4XkaJq%2Bcfm%2FbY8bqFq1fv6FyOvX%2B1oHvwefbOru7Y0zcz5q91cn3Tq52bInXKZx9RCGvWp8UlOEsQzpxD6T%2F05acLVrNap952xtZhP0xWx0%2B0iY%2BfnCrjtT1FbQ2389oqStRWanr34n%2BeflDP00eNTBe09C6rWpeVidoeugYAvcGv8LTaXynTgF0DGRLXuBwA%2Fy5J0T00eaRi6JdU8UmS4qDyuqqwJBTvUMXlkqApuriC9Vdu9UkSBIfk5fPVpZGx4MYuV46oJ%2BkEY0tOTnr6qEKLpcQNmZh%2BSJ2ImdjppB56CnnSKS02%2BRpiJifBU2MEnYC8izsQ2clwI9I%2B1YYLf3Gtkw8SVgdtm4XAwyNdtX46hDAvXCL2GCmnN3ZetuitjjuuvUr5%2F0PfKX9DwuFDDfpT17zfga0rz19x8fIFq84TXdXF99Wdtr1n%2Fm5lz4fKh8pLyPrJR8gyV%2Bhdtuva4%2FMv2Lj1ih27%2Blg74MwMf2tPV9%2FaEPAZUHI97ucl3KK2k5t4PReeOJ319ZfAyRW8pRiS%2BgUt3aSlD6jpeSPTBS29y6C2pIDWK8yCw0JYeIl7wbKhNGJ1pqWZBQEIyYUcNwVKAXHz0vPBYdBQiw8WTxJRTWOGj2%2BK1tf%2FPFpXNzVaf2ojO%2BKOwcEvTpva%2FPOG6c1EmNrUMqWhpRkIfcaHKAN0OZ81eEfOGnzxWQOjb0jBFAZx%2FC%2BzhmCNsJ9hQWsvOLVn0n5GBm1eUrt%2FzK5jR21o%2FOiJKy9AhwzKa%2F6alefjSoYJlXV2dVyL7IwUqpp%2BQes1ytH2RjTouvnWlnFKMOP2oSGVpeD1c2ZST4ByefGmpvMavgVOruA1XMnTC0emC1p6V0B9A0u1np977PkV5qi9zXh%2BBQ8XJOgmziYWsLhqD%2B1vHQZzli2Dxi8VWsCcbXDIRM6dEpOdxEnL%2BCQocxLLTDtnDWdWTT4Wyh0nAU7ot8Herhf%2F%2FuZLf5xv0ulUfvGjOONEDrXMYEgzK%2BCtE9qVsXpQVixvbB7mnLQ8CVqeut5Qc%2F0zNdcJKk9oH6byMk5M5VGJGk2mO108BE7wQmekxuJwGFF%2Bvs6WAeDL0umKLHa6drMgI7HQX0YznaWSNBddcwhCLotpRQ5tBcd%2BThplmiAy%2BBMMx2M6XcOLuERnVGvx%2B3WnH9vn31Wm9Cv3oTPQhPGbvaRDW9Q9dstdd%2FXVrfR7t8jpaBvqQuejTSZZXeCR145%2B8%2B1PDivZbnPyN%2BhT3SphMXhgNARhQWRMoMKEHQ6%2FX19RkWu3V%2BXr9aEchzvgiMYCATCbfxaNmc3YJNDOmfLEZnDT4VwQvFNiQupwHj45Cp00iOdT56kG4bniI7dDo6KTeT2fSk%2BLtyhf7dl5pPfHLSgb4QUvT7nsi2%2BR%2BbhTt2fL%2BU90tDx99FwN5Pu4fbWMBnC3%2FZprdiD9%2FciByqY1XcvYaf26naXlbOCeHGf7BhavuJhFHD0h%2FFXwSAVgZP0Zi5ozAMh6jE0ZWF4vsh39sg5pyx2NKqQzEZ2XGU%2BdFNAgrdc1Ne977elTUafn6kbhr2ed0XJ29tMLqh5sYBENqFX4M4lKD8Q9ehmS1eqmkUWyR8ay7CDxvRTYHVKNZ7qk8YhEdy1YcOklCy%2B67Pqa0tKaiorSGvGlCzavv%2BiCDZu7ykKhsrKqKkDwa%2BHPgkEygQuqIm4KNEUEQjLdBhvobPTrYvM6MzavFyCQ9fpZmoNENQebXw6qkISXvbF5mNVHiE23yjF6xRM27knfvXTUtKZoET%2B%2FfAk7F%2Buray7vKyjOr%2BKHAr4bGHqI3IN7%2BG5S%2BAS7SU0nbeih999Xlbp%2FqtQllG7Sj%2Fp4jIw7kiaIOqTTySBou5KZB5gLq7jGWhvCumKTs7N6sN5L%2Bp1zkG2h8t3HkHQFCVwRmQhIknSCRC8wvD8WUrffQHtNwbWDkz3iI84XlPdRySFI3luLeVIwEfnuWhIEtNuffHstwOzeZBl%2F%2BgzwRczUIGsiggSSZNFlkHRtI0Z%2BoT8E%2BbOoWSnwxY%2FoUzVPdILhSZyRP8ezp2Vz%2BE4SGJn%2FndpNDXwrMFMaMYjsRi%2BqN9Luoz60qB5QH885cqO31JNM8Ua1DBJFgVlJkOt5SRihMGIaeQcIpN7Ap91gROGgt0eWkkvbi2wunXrfKIyCdLA9wszuRplAgHssUq3uc6%2FavnXvvku37cGf9hzou3r%2FLbcAELbTizQXhfm75mXsYF6m6kEvys4gbKuXAofMQuS5LUhtbJnmP9AJy8gdX3yp56m7v%2BAps89kZzPacGPqPmctKUf%2BVkA7vpHbtCsijrgDV9RLQAg9pa0JI9VZmsxW0W%2FVN5vqlE12xKZeO24nRzp2bfoHPRPEf7z2SBs4vvHEBm8ApCxj83oe25YVSSeAEcaCFtqW8B8j5EX48mN%2F%2FIKMjge2AeK7BW0S%2B6EYdkQaJaL3%2BXI8RW5ntmywWIrSafaLika5cnP12dklBpdLzpRy83Knx0heRt66PJxOMvMy82yFPiiEabFCndlkMzXHbNp2YiNNoxZenyxzKUghO%2FCtQOhvro%2FH5DgKdA420DrVfS4oWELdb%2F7qWvq7BuL7XXhXXu9CVyrtGKN5yj0hZNq9ecn93ynPj9q6VMBLtvjQpG%2Be6ps7ebnwys5f3ucNFDzwTXgIxqK0Tx5wFVff9zVyT%2F%2FQ4%2BXsWgfzjp%2B0n6MTYDbdHRriMbs%2FSh7wQyNfQ04lboD45x8nfd7MPgcMBhzF34tPQRpYGbthFXUmWnBEBixim90k62TJikTRaiW6PJLPDTwBLSYu4RpNwn%2B8DhpfWI1CfA%2BzWrZnHP5%2BzefKBrTh0zXKHkmuzliH39q3rwfXHT%2FUN3Nu1gWuZ9Wn05u0pyuGRuJWn14KAMTT4QTpzcPp0q6k3PF0dS8BvtMDAcsjIIiIQGKXQLYPAt8FgTU2uvZ8EQDruB3sL%2FEV7krVDmZIWNNupYoPkxTdQ3NGKoYYgS4mKQ4q76sKS0JxHADfqZupKbq4gq9wuaT6%2FwCVeR0IAAAAAQAAAAEZmiehT9dfDzz1AAkIAAAAAADJQhegAAAAAMnoSqH7DP2oCo0IjQABAAkAAgAAAAAAAHgBY2BkYODo%2FbuCgYGr9zfPv0quXqAIKrgJAJZXBsIAeAFtkQOsGEEQhv%2Fbnd272rZtG0Ft27ZtW1G9dYMiamrbZlgrqN17M89K8uVfTna%2FoRs4AwCUGVBCU0zQl7DAlEIZWoPOfhXUs0BbVQAL1CG0ZepQd9STPdUW9dQ61FGN%2BU5LpOW1pswUpmU0hZj%2BTGOmWnQ2lPNyV2rEoO%2FA%2BmUw0CwATG8cNjkwyXzEYZrG9Of5NUyy%2BXBY7Q4Hm9a8tgCH%2FWU4bOcwPfmsjc7GvDcYPWk7StjU2G8qAf5xwHQE6D%2BzHRXUbqzi96bmrEQNEeim4V965jWnB%2Bho0sNRHnTn7E5H0V3nQAlaAGsawqkxWKfGhDPoO2Ts%2FGdwsk5fIecd011vh9O%2FOaegHO9toBWAfYLM5JBSxvoNquliyEeDvUucbeXvMd55vIqRtTGMJTnzAkP5bdnsXvTX6VGOPkbfYe%2ByRgh%2F6xHoLms6QDmmlvyFPThTB2PEtbczfMbr3XUu1JD7fmqUjaYre68jzpPD3wJIH6QH0RyQ5L6Ui%2FGeGFqDOZLiPj7iXnpkDsKJ5%2BTwO3LmEe8JYecb2fcazoXMC%2FEd4z0J7EFS3MdH3EuPJJX07gom%2Bff4%2FDMcpS1ee85bBLQNGO84cgiqPerpVcghUBEeK%2FS1jzBBfUZbwUv5X%2F7bkOlslqCEwJ5TBw4lBFsBJdRuHA4vYk%2Fown8RLYvLrQAAeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOM8XZouTZemS1OAKcAUYAowBZgCTAHm3x31O7p3vNf5c1iXeBkEAQDFcbsJX0IqFBwK7tyEgkPC3R0K7hrXzsIhePPK%2F7c77jPM1yxSPua0WmuDzNcuNmuLtmq7sbyfsUu7De%2Fxu9fvvvDNfN3ioN9j5pq0ximd1hmd1TmlX7iky7qiq7qmG3pgXYd6pMd6oqd6pud6oZd6pdd6p%2Ff6oI%2F6pC%2FKSxvf9F0%2F1LFl1naRcwwzrAu7AHNarbW6oEu6rCu6qmu6ob9Y7xu%2BkbfHH1ZopCk25RVrhXKn4LCO6KiOGfvpd%2BR3is15xXmVWKGRptgaysQKpUwc1hEdVcpEysTI7xTbKHMcKzTSFDtCmVihkab4z0FdI0QQBAEUbRz6XLh3Lc7VcI%2FWN54IuxXFS97oH58%2BMBoclE1usbHHW77wlW985wcHHHLEMSecsUuPXMNRqfzib3pcllj5xd%2B0lSVW5nNIL3nF6389h%2BY5NG3Thja0oQ1taEMb2tCGNrQn%2BQwjrcwxM93gJre4Y89mvsdb3vGeD3zkE5%2F5wle%2B8Z0fHHDIEceccMaOX67wNz3747gObCQAQhCKdjlRzBVD5be7rwAmfOMQsUvPLj279OzSYBks49Ibl97In%2FHCuNDGO%2BNOW6qlWqqlWqqlWqqlWqqYUkwpphTzifnEfII92IM92IM92IM92IM92IM92I%2FD4%2FA4PA6Pw%2BPwODwOj8M%2Ff7kaaDXQyt7K3mqglcCVwNVAq4FWA60GWglZCVkJWQlZCVkJWQlZDbQyqhpoNdAPh3NAwCAAwwDM%2B7b2sg8kCjIO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO47AO67AO67AO67AO67AO67AO67AO67AO67AO67AO67AO63AO53AO53AO53AO53AO53AO53AO53AO53AO53AO53AO5xCHOMQhDnGIQxziEIc4xCEOcYhDHOIQhzjEIQ5xiEMd6lCHOtShDnWoQx3qUIc61KEOdahDHepQhzrUoQ6%2Fh%2BP6RpIjiKEoyOPvCARUoK9LctP5ZqXTop7q%2F6H%2F0H%2B4P9yfPz82bdm2Y9ee%2FT355bS3%2FdivDW9reFtDb4beDL0ZejP0ZujN0JuhN0Nvht4MvRl6M%2FRm6M3w1of3PVnJSlaykpWsZCUrWclKVrKSlaxkJStZySpWsYpVrGIVq1jFKlaxilWsYhWrWMUqVrGa1axmNatZzWpWs5rVrGY1q1nNalazmtWsYQ1rWMMa1rCGNaxhDWtYwxrWsIY1rGENa1nLWtaylrWsZS1rWcta1rKWtaxlLWtZyzrWsY51rGMd61jHOtaxjnWsYx3rWMc61rEeTf1o6kdTP%2F84rpMqCKAYhmH8Cfy2JjuLCPiYPDH1Y%2BrH1I%2BpH1M%2Fpn5M%2FZh6FEZhFEZhFEZhFEZhFEZhFFZhFVZhFVZhFVZhFVZhFVbhFE7hFE7hFE7hFE7hFE7hFCKgCChPHQFlc7I52ZxsTgQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQti5bl63L1mXrsnXZuggoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCyt5GQBFQBPTlwD7OEIaBKAxSOrmJVZa2TsJcwJ6r0%2F%2B9sBOGnTDshOF%2BDndyXG7k7vfh9%2Bn35fft978Thp2wKuqqqKtarmq58cYbb7zzzjvvfPDBBx988sknn3zxxRdfPHnyVPip8FPhp8JPhZ8KP78czLdxBDAMAMFc%2FbdAk4AERoMS5CpQOW82uWyPHexkJzvZyU52spOd7GQnu9jFLnaxi13sYhe72MVudrOb3exmN7vZzW52s8EGG2ywwQYbbLDBBnvZy172spe97GUve9nLJptssskmm2yyySabbLHFFltsscUWW2yxxX6%2B7P%2BrH%2Fqtf6%2B2Z3u2Z3u2Z3u2Z3u2Z3s%2BO66jKoYBGASA%2FiUFeLO2tqfgvhIgVkOshvj%2F8f%2FjF8VqiL8dqyG%2Bd4klllhiiSWWWGKJJY444ogjjjjiiCOO%2BPua0gPv7paRAHgBLcEDlNxQAADArI3Ydv7Vtm3btm3btm3btm3bD7VvBoIgLXVVqCf0ztXT9dzd3j3cvcX90CN5Snmae%2Fp45np2e356gbeH94HP8Q3x3feH%2FX38NwJwoHigQ2Ba4GBQCK4NfgxVDE0OnQr7w1nCI8P7wi8jdqR4ZGzkRDQSLRmdH%2F0UqxTrEVsbux%2FPHe8b3xh%2FlgglzESJRJfE6MS6ZChZJzkj%2BRouCA9GJKQuMhI5hsZRHR2A7kZ%2FYZWxldhtPDPeFd%2BIPybyE0OIy2SIrEy2IneSX8mvFKB6UpfodPQYeiOTjmnK3GOzsCPYpexaLjdXiRvBHeJ%2B8BX5Lvxe%2FqOACmWEnsJ60SsyYjqxiLhE3CoeE6%2BLL8RvUlRqJXWThkszpJXSbjkq83JaOZ9cXm4gd5IXKZACK4qSSSmiVFWmq0lVUtOr%2BdXyagO1oxbRSM3UsmnFtOpaC62nNkqbo7M60HPppfXaemu9j77X4IwUI49RxqhrtDWOGzeM92Y985lFWWWtcdZia4d10%2FpiU3YZu6%2B91j7rME5xp5szGVAgDcgBioDhYDpYDjaDE%2BAmeAW%2Bp8R%2FA5ajfCcAAAABAAAA3QCKABYAWAAFAAIAEAAvAFwAAAEAAQsAAwABeAF9jgNuRAEYhL%2FaDGoc4DluVNtug5pr8xh7jj3jTpK18pszwBDP9NHTP0IPs1DOexlmtpz3sc9iOe9nmddyPsA8%2BXI%2BqI1COZ%2FkliIXhPkiyDo3vCnG2CaEn0%2B2lH%2BgmfIvotowZa3769ULZST4K%2BcujqTb%2Fj36S4w%2FQmgDF0tWvalemNWLX%2BKSMBvYkhQSLG2FZR%2BafmERIsqPpn7%2ByvxjfMlsTjlihz3OuZE38bTtlAAa%2FTAFAHgBbMEDjJYBAADQ9%2F3nu2zbtm3b5p9t17JdQ7Zt21zmvGXXvJrZe0LA37Cw%2F3lDEBISIVKUaDFixYmXIJHEkkgqmeRSSCmV1NJIK530Msgok8yyyCqb7HLIKZfc8sgrn%2FwKKKiwIooqprgSSiqltDLKKqe8CiqqpLIqqqqmuhpqqqW2Ouqqp74GGmqksSaaaqa5FlpqpbU22mqnvQ466qSzLrrqprs9NpthprNWeWeWReZba6ctQYR5QaTplvvhp4VWm%2BOyt75bZ5fffvljk71uum6fHnpaopfbervhlvfCHnngof36%2BGappx57oq%2BPPpurv34GGGSgwTYYYpihhhthlJFGG%2BODscYbZ4JJJjphoykmm2qaT7445ZkDDnrujRcOOeyY46444qirZtvtnPPOBFG%2BBtFBTBAbxAXxQYJC7rvjrnv%2FxpJXmpPDXpqXaWDg6MKZX5ZaVJycX5TK4lpalA8SdnMyMITSRjxp%2BaVFxaUFqUWZ%2BUVQQWMobcKUlgYAHQ14sAAAeAFFSzVCLEEQ7fpjH113V1ybGPd1KRyiibEhxt1vsj3ZngE9AIfgBmMR5fVk8qElsRjHOHAYW%2BQwyumxct4bKxXkWDEvx7JjdszQNAZcekzi9Zho8oV8NCbnIT%2FfEXNRJwqmlaemnQMbN8E1OE7Mzb%2FP%2F8xzKZrEMA2hl3rQATa0Uxs2bN%2B2f8M2AEpwj5yQBvklvJ3AqRcEaMKrWq%2F19eWakl7NsZbyJoNblqlZc7KywcRbRnBjc00FeF6%2Fenoi05EcG62tsXhkPcdk87BHVC%2BZXleUPrOsUHaUI2tb4y%2F8OwbsTEAJAA%3D%3D%29%20format%28%22woff%22%29%7D%2A%7Bbox%2Dsizing%3Aborder%2Dbox%7Dbody%7Bpadding%3A0%3Bmargin%3A0%3Bfont%2Dfamily%3A%22Open%20Sans%22%2C%22Helvetica%20Neue%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A16px%3Bline%2Dheight%3A1%2E5%3Bcolor%3A%23606c71%7Da%7Bcolor%3A%231e6bb8%3Btext%2Ddecoration%3Anone%7Da%3Ahover%7Btext%2Ddecoration%3Aunderline%7D%2Epage%2Dheader%7Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bbackground%2Dcolor%3A%23159957%3Bbackground%2Dimage%3Alinear%2Dgradient%28120deg%2C%23155799%2C%23159957%29%3Bpadding%3A1%2E5rem%202rem%7D%2Eproject%2Dname%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A%2E1rem%3Bfont%2Dsize%3A2rem%7D%2Eproject%2Dtagline%7Bmargin%2Dbottom%3A2rem%3Bfont%2Dweight%3A400%3Bopacity%3A%2E7%3Bfont%2Dsize%3A1%2E5rem%7D%2Eproject%2Dauthor%2C%2Eproject%2Ddate%7Bfont%2Dweight%3A400%3Bopacity%3A%2E7%3Bfont%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</head>
<body>
<section class="page-header">
<h1 class="title toc-ignore project-name">Sales Analysis</h1>
<h4 class="author project-author">Afsar Ali</h4>
</section>
<div id="TOC" class="toc">
<ul>
<li><a href="#introduction">Introduction</a></li>
<li><a href="#finding-1-kellogg-has-the-most-sale">Finding 1: Kellogg has the most sale</a></li>
<li><a href="#finding-2-post-has-the-top-performing-brand">Finding 2: Post has the top performing brand</a></li>
<li><a href="#finding-3-promotion-and-advertisement-resources">Finding 3: Promotion and advertisement resources</a></li>
<li><a href="#conclusion">Conclusion</a></li>
<li><a href="#technical-appendix">Technical Appendix</a><ul>
<li><a href="#looking-relationships-accross-comapny-brand-and-cereal-type">Looking relationships accross comapny, brand and Cereal Type</a></li>
<li><a href="#sales-volume-and-units-analysis">Sales, Volume and Units Analysis</a></li>
<li><a href="#regression-line-analysis-by-company">Regression line analysis by company</a></li>
<li><a href="#analysis-relationships-accross-comapny-brand-ad-with-saleunits-range">Analysis relationships accross comapny, brand, ad with Sale/units Range</a></li>
</ul></li>
</ul>
</div>
<section class="main-content">
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Course: BUAN 5210</span>
<span class="co"># Title: Post Promo and Ad analysis</span>
<span class="co"># Purpose: Make recommendations regarding promotions and advertisements</span>
<span class="co"># Data: MTP_Data.csv</span>
<span class="co"># Date: Oct 26, 2017</span></code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Clear workspace at begining</span>
<span class="kw">rm</span>(<span class="dt">list =</span> <span class="kw">ls</span>(<span class="dt">all =</span> <span class="ot">TRUE</span>))
<span class="co"># Load packages</span>
<span class="kw">library</span>(tidyverse)
<span class="kw">library</span>(GGally)
<span class="kw">library</span>(gridExtra)
<span class="kw">library</span>(kableExtra)
<span class="co"># Load Data</span>
mtp <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="st">"MTP_Data.csv"</span>)
<span class="co">#Initial Review of the data</span>
<span class="kw">glimpse</span>(mtp)</code></pre></div>
<pre><code>## Observations: 1,995
## Variables: 8
## $ units <int> 10, 6, 3, 4, 9, 22, 20, 23, 12, 17, 1, 4, 8, 21, 8, 13,...
## $ brand <fct> GENERAL MILLS CINNAMON TST CR, GENERAL MILLS CINNAMON T...
## $ flavor <fct> CINNAMON TOAST, CINNAMON TOAST, CINNAMON TOAST, CINNAMO...
## $ grain <fct> WHOLE WHEAT AND RICE, WHOLE WHEAT AND RICE, WHOLE WHEAT...
## $ promo <int> 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0...
## $ ad <fct> NONE, A, NONE, NONE, NONE, B, B, NONE, NONE, NONE, NONE...
## $ volume <dbl> 0.06, 0.06, 0.12, 0.98, 0.98, 0.98, 0.80, 0.80, 0.80, 0...
## $ price <dbl> 0.50, 0.50, 1.05, 3.50, 2.99, 2.48, 3.19, 1.77, 2.50, 3...</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Add Total Sale and Total volume to the data frame</span>
mtp<-<span class="st"> </span><span class="kw">mutate</span>(mtp, <span class="dt">TotalSale =</span> units<span class="op">*</span>price)
mtp<-<span class="st"> </span><span class="kw">mutate</span>(mtp, <span class="dt">TotalVolume =</span> units<span class="op">*</span>volume)
<span class="co"># Seprate by Compancy </span>
mtp <-<span class="st"> </span>mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">separate</span>(brand, <span class="dt">into =</span> <span class="kw">c</span>(<span class="st">"company"</span>, <span class="st">"brand"</span>), <span class="dt">sep =</span> <span class="st">"</span><span class="ch">\\</span><span class="st"> "</span>, <span class="dt">extra =</span> <span class="st">"merge"</span>)
## Making the Data Pretty
<span class="kw">library</span>(plyr)
mtp<span class="op">$</span>promo<-<span class="st"> </span><span class="kw">factor</span>(mtp<span class="op">$</span>promo)
mtp<span class="op">$</span>promo<-<span class="st"> </span><span class="kw">revalue</span>(mtp<span class="op">$</span>promo, <span class="kw">c</span> (<span class="st">"0"</span> =<span class="st"> "No Promo"</span>, <span class="st">"1"</span> =<span class="st"> "Promo"</span>))
mtp<span class="op">$</span>ad<-<span class="st"> </span><span class="kw">revalue</span>(mtp<span class="op">$</span>ad, <span class="kw">c</span> (<span class="st">"NONE"</span> =<span class="st"> "No Ad"</span>, <span class="st">"A"</span> =<span class="st"> "Big Ad"</span>, <span class="st">"B"</span> =<span class="st"> "Mid/Small Ad"</span>))
mtp<span class="op">$</span>company<-<span class="st"> </span><span class="kw">revalue</span>(mtp<span class="op">$</span>company, <span class="kw">c</span> (<span class="st">"GENERAL"</span> =<span class="st"> "GENERAL MILLS"</span>))
mtp<span class="op">$</span>brand<-<span class="st"> </span><span class="kw">revalue</span>(mtp<span class="op">$</span>brand, <span class="kw">c</span> (<span class="st">"MILLS CINNAMON TST CR"</span> =<span class="st"> "CINNAMON TST CR"</span>))
<span class="kw">library</span>(tidyverse)
<span class="co">#review the updated data</span>
<span class="kw">glimpse</span>(mtp)</code></pre></div>
<pre><code>## Observations: 1,995
## Variables: 11
## $ units <int> 10, 6, 3, 4, 9, 22, 20, 23, 12, 17, 1, 4, 8, 21, 8...
## $ company <chr> "GENERAL MILLS", "GENERAL MILLS", "GENERAL MILLS",...
## $ brand <chr> "CINNAMON TST CR", "CINNAMON TST CR", "CINNAMON TS...
## $ flavor <fct> CINNAMON TOAST, CINNAMON TOAST, CINNAMON TOAST, CI...
## $ grain <fct> WHOLE WHEAT AND RICE, WHOLE WHEAT AND RICE, WHOLE ...
## $ promo <fct> No Promo, No Promo, No Promo, No Promo, No Promo, ...
## $ ad <fct> No Ad, Big Ad, No Ad, No Ad, No Ad, Mid/Small Ad, ...
## $ volume <dbl> 0.06, 0.06, 0.12, 0.98, 0.98, 0.98, 0.80, 0.80, 0....
## $ price <dbl> 0.50, 0.50, 1.05, 3.50, 2.99, 2.48, 3.19, 1.77, 2....
## $ TotalSale <dbl> 5.00, 3.00, 3.15, 14.00, 26.91, 54.56, 63.80, 40.7...
## $ TotalVolume <dbl> 0.60, 0.36, 0.36, 3.92, 8.82, 21.56, 16.00, 18.40,...</code></pre>
<div id="introduction" class="section level1">
<h1>Introduction</h1>
<p>This memo provides a brief analysis of the sales data provided by the Post Cereal Company, with particular focus given to how promotions and advertising translate into sales, in terms of both units sold and sales dollars. No cost information was provided therefore a cost benefit analysis is not included. An initial look at the data reveals that, of the 11 brands in the data set, Kellogg carries 8, while Post carries only 2, and General Mills with 1.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">kable</span>(mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">group_by</span>(brand, company ) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(company) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">table</span>())</code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
GENERAL MILLS
</th>
<th style="text-align:right;">
KELLOGGS
</th>
<th style="text-align:right;">
POST
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
APPLE JACKS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
163
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CINNAMON TST CR
</td>
<td style="text-align:right;">
185
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN FLAKES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
153
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN POPS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
165
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROOT LOOPS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
162
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROSTED FLAKES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
251
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROSTED MINI WHEATS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
198
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
HONEY BUNCHES OF OATS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
232
</td>
</tr>
<tr>
<td style="text-align:left;">
RICE KRISPIES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
144
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
SHREDDED WHEAT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
189
</td>
</tr>
<tr>
<td style="text-align:left;">
SMART START
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
153
</td>
<td style="text-align:right;">
0
</td>
</tr>
</tbody>
</table>
</div>
<div id="finding-1-kellogg-has-the-most-sale" class="section level1">
<h1>Finding 1: Kellogg has the most sale</h1>
<p>This broad analysis of the data shows that Post Cereal is a distant second to Kellogg Cereal in terms of Sales, Units Sold, Number of Promotions, and Number of Ads (all types), and General Mills ranks last by all variables. These findings are reasonable given that Kellogg makes up the largest proportion of observations in the data. To normalize this discrepancy the rest of the analysis looks at trends on a Brand level, and we will not be examining the General Mills data as we only have data on a single brand. This graph shows a how Post sales are compared to General Mills and Kellogg.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(<span class="dt">x=</span><span class="kw">reorder</span>(promo, <span class="kw">desc</span>(TotalSale)), <span class="dt">y=</span> TotalSale, <span class="dt">fill =</span> ad)) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">stat_summary</span>(<span class="dt">fun.y =</span> <span class="st">"sum"</span>, <span class="dt">geom =</span><span class="st">"bar"</span>, <span class="dt">position =</span> <span class="st">"stack"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_hline</span>(<span class="dt">yintercept =</span> <span class="dv">0</span>, <span class="dt">color =</span> <span class="st">"black"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">fill =</span> <span class="st">"Ad Type"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Kelloggs has the highest sale followed by Post"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Total Sale"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Promotions"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">theme_light</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>company)</code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAMAAABNUi8GAAAB3VBMVEUAAAAAADoAAGYAOjoAOmYAOpAAZpAAZrYAujg6AAA6ADo6AGY6OgA6Ojo6OmY6OpA6ZmY6ZpA6ZrY6kLY6kNtNTU1NTW5NTY5NbqtNjshhnP9mAABmADpmAGZmOgBmOjpmOmZmOpBmZjpmZmZmZrZmkJBmkLZmkNtmtpBmtrZmtttmtv9uTU1uTW5uTY5ubo5ubqtuq+SOTU2OTW6OTY6Obk2ObquOyP+QOgCQOjqQOmaQZgCQZjqQZmaQZpCQkDqQkGaQkLaQtpCQttuQ27aQ2/+rbk2rbm6rq46ryKur5P+zs7Ozs8Gzs82zwdqzzee2ZgC2Zjq2kDq2tma2tpC2ttu225C229u22/+2/7a2/9u2///Bs7PBs83BwdrB2ufB2vLIjk3IyI7I///Ns7PNs8HNwdrNzefN5/LN5//awbPawc3azdra2ufa59ra8ufa8vLa8v/bkDrbkGbbtmbbtpDb27bb29vb/7bb/9vb///e3t7kq27k///nzbPn583n5+fn5/Ln8trn8vLn/+fn//Ln///y2sHy2s3y583y59ry8try8v/y/+fy//Ly///4dm3/tmb/yI7/25D/27b/5Kv/583/8tr//7b//8j//9v//+T//+f///L////MSXNGAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAccUlEQVR4nO2djZ8bR32HZcdGnE0JpOcm4cCUUlrIhRQHWl/oC2moTcn5RUALlEvbpA7QpLRgAW1w4oPSFrelxFEUm/MZ9m/tzOy7bjXSzM6sfms9z8c+6Va73/3t7HOzs6u3QQIgmMGqCwCwgaAgGgQF0SAoiAZBQTQICqJBUBANgoJoggg6Pr6nb6Ybx7bLiYc7J2/o/y5BS8w//e29+bOVD9RnsefqSKeKvjQYDG9U53DYzsOdYXrnYGvYPMd4YDjxefdqH0ACCqr8vFCZGElQva7AgmZ/X0tXNFH6DGtzxBB0MNhufthS7QNIOEGnG8e/Xp24WkFdct0F3Z6ZI6ygaTk/GDRnIqg7us0mGydSP985Oxi89+vVHaenpA/+YGNw7PfMHiruHf7JYHDsiSxIzf/a2cGx3zfzvmeQ3qvOcbijepbN6mz56maWT9ecr6VxgSw3jcyWL1aVr73cgmIlIzW/2uB8q45sZ/rLWGcaG8uFVTknvlYRdLJhElLhD7Y2y9Y069G3Rds1VLsWhBK0+HufbuijkzrYFztukk/JD17Dyj3T4MXR7HDnxNns13F+mKvNkQtazFasbmZ5s+bKWo4ukOdWdnm5qsraVU59Jamgk/nbOdZzjvRmTjc2Kwub0BNnC0Ef2kgfSPvSSZ5fFXRiqXY9CCTo58p9rHugH24Mix2nmvQJvXNO3jjYOvb55J0dtefKe9ONR7QA2U5T86o9/X2jlB4w6Afqc2SH+HK2fHVHlq+ur2mBMrc4aBaTyrWnW1Bbienxyq06up3TjW21hbqXVdKVC5flGNQcv3nj8Mv6V9NXjvIjenGIHybVzCPVrgdhBB0M3nU27QB0n5GYVsx3XObW6NiFiZFY/17em2489LGvFUFKjL1idPZvf/WnG4PZOTJB89nK1c0sr9dcrqVpgTK3Imi5qmzt6RbUVmIELbfq6Haa9Zx6VjXIqLpweq/4UzvY0kaaynRgcYQvTpLU8mVmQ7XrQSBBH9HnSLrhJkXrljvOHJ1VZ2IOfWZcVt4zB8zB+7PxXTp8M9PTI+Ngdo7KSZKerVzdzPL6XrmWxgWK3HKXF5OKtaei11aSCZpv1dHt1F5Ojv/N1raWrlw4HWpWTpJSc7NjfHGEzwV9rymjzDxa7VoQ7ix+bI5dzoImPzybnnQkSVUwdQB835//9Wtbs3MEFLTIrezybFK5di9B1f/RUK1NT1pGUH2ML47w1XIqmU3VrgMBr4OO9BE1a9KkPLu1H+IN//rHxTlQLlKac3SOGUHL1c0sP3uIn7OAya3vcj2pXHtFvYJFh3j14Cd2NpPxyS+r4HLh9BBfXF1K76SDj8ngE8URvi5okTmn2geegIKqkwB9tqnOBNSpQDkGtZ8kTdSZQnL45SM9oNo1N/Q1Fq1ZdQ7T41Q9zFc3s/zsSdLRBcrccdk1ZpPKtWcnSdWVLDxJUg8+dEr3o+8ZJpUVqnLMZaLyJGkzSU+S1NTfKJ/kqBhYZjZUux6EfarTDPgNm26XmbLjW1WkQfZAfQ695GZlqFqs7sjy9ctMRxcoc8czl5mKdQ7yLaitJL1uabnMpIs0fafp9cuFzb3KZab3bRRDl/GgtLLaRc5eZqpWux6EFDQdhk7VWOmhJ6oXsKe1C/Uf3xpW75kL0I/UnqAsLm+f+Ly+AFObIzk4Oxj+qJytWN3M8uWF+o9v1QQtFyhydWT2B5JPKtZebkGxkuzC+vTIhfpyOyeDYX70ri6shpEnvlEZgyr9Hk5P/srLaDNnQdPahfp6tWtB969mKq+nlPe6WZ9gJnOeeIcuBZ1uvEuNo0bmFCO/1836pPPOWbfXLKwRXQpajqNmxpXR1ycbdbq0VsNKJzo9xJejyfq4Mv76RKP+kB5ZdQ1i4RX1IBoEBdEgKIgGQUE0CAqiCSHorkyozp8AVgQCQVdEL6oTAIKuiF5UJwAEXRG9qE4ACLoielGdABB0RfSiOgEg6IroRXUCQNAV0YvqBICgK6IX1QkgvqBX1Rx3d3ev3Naz/vrVK7f31cQrv3i5nKBvf/Wymnr5v141D2VLXrmtltt95Vcv67nTqfmDl3+WLbK4kZffKyb80vW7RWX1de6+qKbuVzapvLNMOW2rO1quKfNWpbC0jEvXTfIvX2iRHcCKQEQX9KracZeu3yp285Xbek+WymUPvKjb8+pPbtUEffN/X9i9/B+/OCro5Z/tZ4ssbuTl94oOv3R9f7deWfGrXt/ln90qN6m4s1Q5batrLNf8TeeFlWWUbehJACsCEVtQvcNVg/38hXKvf/tug6BGju/9009fqAr6i39/dffKTxoELfbNEo28/F5RqabcZkEv/+fLlXn0JtW3bVE5batrKte0b1FYWQaC1ljYitU76vaV/eYeVO3qV/Zrgn57f/fvv9Mg6KXrS3RXS1Q3W+s3r+/vzhP0qlmlEuLIJi1XTtvqGsrVh6I3Xy0KK8tA0BrWVvx53mZmxPRL3dtc/ukLxRhUTchulaS3dq/erQn6rf+59N1vNQhqRn+/XtBjLVHdTK1v/p8ZUVZKrazzqhl17r6yX27SzwstlyinbXVHyzVl7peFlWUgaA1rK6qmUi1ZnHGYCS/emulBr+pmNYP7X71cFfSb//K3P77SKOiu6TyWaeTl98qV27fMGHNOD2o8yHrQYpPMnaXKaVvd0XKzMovCyjIQtIZtS9N2UwOj6l6/9L3vzBziX1SnG6ZDemW/KujL//jPt5oETffJK/vLNPLye8UIp/bvUmNQtUnFnaXKaVtdY7m1wsoyELSGdVNN53i13oOaU/nahEvX7+6+qHfw1bs1QdMFm8/iY5wkmcHwvLN49UeUnsVnm1TcWaqcttU1l1strCwDQWssaMfb5hphOmJKsg5StWl9wpXb//3d9FLod8z0u7v5iWn2L52a3ZgrfuHHoOmfyi//Lq+svk5z1XO/sknlnWXKaVtdc7mGvLCiDASt0a4tokF1/gSwIhAIuiJ6UZ0AEHRF9KI6ASDoiuhFdQJA0BXRi+oEgKArohfVCQBBV0QvqhPAAyzoLtX5E0CLMAQRdNkZXw+wsuVDdms3AYODhPSiOgEgqHtwkJBeVCcABHUPDhLSi+oEgKDuwUFCelGdABDUPThISC+qEwCCugcHCelFdQJAUPfgICG9qE4ACOoeHCSkF9UJAEHdg4OE9KI6ASCoe3CQkF5UJwAEdQ8OEtKL6gSAoO7BQUJ6UZ0AENQ9OEhIL6oTAIK6BwcJ6UV1AkBQ9+AgIb2oTgAI6h4cJKQX1QkAQR2D32pD9OpChSCoPwjqD4LaQdDY1YUKQVB/ENQfBLWDoLGrCxWCoP4gqD8IagdBY1cXKgRB/UFQfxDUDoLGri5UCIL6g6D+IKgdBI1dXagQBPUHQf1BUDsIGru6UCEI6g+C+oOgdhA0dnWhQhDUHwT1B0HtIGjs6kKFIKg/COoPgtpB0NjVhQpBUH8Q1B8EtYOgsasLFYKg/qxY0He3IXp1oUIQ1B8E9QdB7SBo7OpChSCoPwjqD4LaQdDY1YUKQVB/ENQfBLWDoLGrCxWCoP4gqD8IagdBY1cXKgRB/UFQfxDUDoLGri5UCIL6s2JBP9CG6NWFCnnABH1dJLtRqmslaPTqQvGACbrsjPSgsasLFYKg/iCoPwhqB0FjVxcqBEH9QVB/ENQOgsauLlQIgvqDoP4gqB0EjV1dqBAE9QdB/UFQOwgau7pQIQjqD4L6g6B2EDR2daFCENQfBPUHQe0gaOzqQoUgqD8I6g+C2kHQ2NWFCkFQfxDUHwS1g6CxqwsVgqD+IKg/CGoHQWNXFyoEQf1BUH8Q1A6Cxq4uVAiC+oOg/iCoHQSNXV2oEAT1B0H9QVA7CBq7ulAhCOoPgvqDoHYQNHZ1oUIQ1B8E9QdB7SBo7OpChSCoPwjqD4LaQdDY1YUKQVB/ENQfBLWDoLGrCxWCoP4gqD8IagdBY1cXKgRB/UFQfxDUDoLGri5UCIL6g6D+IKgdBI1dXagQBPUHQf1BUDsIGru6UCEI6g+C+oOgdhA0dnWhQhDUHwT1B0HtIGjs6kKFIKg/COoPgtpB0NjVhQpBUH8Q1B8EtYOgsasLFYKg/iCoPwhqB0FjVxcqBEH9QVB/ENQOgsauLlQIgvqDoP4gqB0EjV1dqBAE9QdB/UFQOwgau7pQIQjqD4L682AJeufJM2fOJ8m9p888dnPOTYrsRkZQj5A+CHrv088ndz75/P2L55M3Hk8abzJkNzKCeoT0QdC3tYAvnb/3mWvJnaeuNd5kc8puZAT1COmDoBrVi9751M25N2qOXc3rIskVCJvaStDo1YWiJ4Lev3guefsx42LjTTab7F6AHtQjpB+C3nv6nDpVsvegGtmNjKAeIb0Q9M6T6hw+YQxaB0G7Zb6gqZ/mMG/O2xtuMmQ3MoJ6hPRB0DfOaM5zHbQOgnYLzyQ5BiNotyCoYzCCdguCOgYjaLcgqGMwgnYLgjoGI2i3IKhjMIJ2C4I6BiNotyCoYzCCdguCOgYjaLcgqGMwgnYLgjoGI2i3IKhjMIJ2C4I6BiNotyCoYzCCdguCOgYjaLcgqGMwgnYLgjoGI2i3IKhjMIJ2C4I6BiNotyCoYzCCdguCOgYjaLcgqGMwgnYLgjoGI2i3IKhjMIJ2C4I6BiNotyCoYzCCdguCOgYjaLcgqGMwgnYLgjoGI2i3IKhj8JoLOh5s5ncnx/fUz8OdQcqwZW1zQFDH4PUW9HDno0ZLzaS4Nz11oVVZNhDUMXi9BZ0c/+rGdnEfQVuFIKh/yLyyRid/tKOP5Qdbg2PPzgg60g+Mh9NTzw4GJ28k5uBfzOINgjoGr7WgB1ubyVhJp28PtmYE1T3q4c72dOP43qGyWP9PxtrUViCoY/BaC6odnKpjvDm6j2cEPdjaTqan9/TjeoqZR09rB4I6Bq+1oPoorntG0zEqGbPJ2Rh0PNT/zC9KzHF6cr/ZnLQ0COoYvM6CqpGn5vhes6DT09/Y2S4FbX10NyCoY/A6C5oe1NUx3By+j5zFH+587HQ6BNDyTo4FObVHUMfgNRbUnPaYm4Ot4dGTJH0Vf6j9zU+SVBfa3lIEdQxeY0Gn2SXQ8bELTZeZshnMZSZtsr7M1L4XrQuqBrYeYwfZjYygHiF+z8WbUWngq/Y1QUcnX9vazjpyB2Q3MoJ6hPgJOtan7BEFVade+rrVxPXyv+xGRlCPEB9Bpxvm2Iugy86IoP4hQl9uN9aHeP00lhuyGxlBPUKECppMvK79y25kBPUIkSqoH7IbGUE9QhDUHwT1p8+CZs+zps+1umXIbmQE9QhpLuutRkIUNh96UMdgBEXQQCEI6h8iVNDpBof4RSDo6gQ93Nk83Nl2fxG07EZGUI8QmYJqNUebycT11SKyGxlBPULkCjoe8lSnFQRd4Rh0ZOx0fr2d7EZGUI8QoYKqQWgycn+R6e7rItmNUl0rQaNXFwofQdNT7O3Ke5UMBx+8kNvlenKj4TKTYzA96FxBm1+uPPlo9uIOBJ0BQf1DvAU9fOaCvj3YGpz4cPpOumf+4iM3zBOVJ862FHSsju36CU9ezWQDQe096MM39K2+GJQOFdWEkRJTTxi0E1QH6rd78HpQKwhqH4Oe1IIefGhP96V66liZqaT60F7bQ7w+QUrflsdZvA0EtR/id7b1x988fCMT1Hx86PE989iolaDmCSTTLXMd1AaCWgVVFtZ6UK2qmhagBzWCms4TQW0gqFXQgw9eqI1Bx1pKdYxvPwbVfqfvOB5xiLeAoPYxaHodVJ1sv0v3oIef1Z2dslYd6tuexave0wxB3UWX3cgI6hES4Jmkmev1vlQuM430FabDHfdPK5HdyAjqEdJS0DCfemPgQr1jMIIu2YMGAkEdgxEUQQOFIKh/CIL6g6D+9Pltxy2Q3cgI6hHSXNa7GwlR2HwQ1DEYQVckKB/cgKAlAgVtgexGRlCPEAT1B0H96bugfHDDYhB0dYLywQ1LgKCrE5QPblgCBF2toHxwwwIQdJ6g0w3zYs3s5fNJ+gLOZ/RXKjUPGvUr77NXPFnemswHNzgGI+hcQU+9/0Zy8OHiVXZatunDrxUvhJ+lIqjlrclBPrhh2RkRNHZ1oUK8BD39OxeS6UdT7bK3GU+G+evsD595djDYnJg3DeuT8e2KoLa3JnOZyTEYQecL+pXt5PvPpdplb/EYbZuv7EwS824NPQjQ71hSB/TUzkxQ21uTZ8egCe9JsoOg8wX96iOHn/2q0S57k5x549zEvHhZ39X/s+GmmqEU1PbWZAR1DEbQ+YJ+489e+91K1zjaNu/pTMwH4tQEHWVvRU4Ftb41ufKepOK5eL6r0wKCzhd070vPbk6rPajqFyfGptF2RVDdEVYP8da3Jjf0oM7IbmQE9QjxFHRy7MK0OgZV/aGRypwkFYLqx1WfWghqfWsyJ0mOwQhqEbTsF83bjJ/QQ1B9HXRmDKoO1up0PRfU/tbkI98Xz4eH2UHQeYLGof5lsvr0iA8Ps4KgqxOUs/glQFAEDRSCoP4hMgXlEL8ECLpCQTlJWsw6C7oKuMzkGIyg3VL/fFA/ZDcygnqENJe1cKMigKCOwQiKoIFCENQ/BEH9QVB/+i0onyyyDAi6MkHpQZcBQRE0UAiC+ocgqD8I6k9UQc1XcAT+rmMEdQ5G0PmC6pOXGUFbftcxzyQ5ByPoXEFPf2WY5N+SlJ1ot/2uYwR1DkbQ+YLujdKv8So/P6ntdx0jqHMwgloEPfhI/l3H2diz7XcdI6hzMIJaBFVC5u9JCvNdxwjqHIygNkEPn3mu2oO2/q5jBHUORlCboOmpfDEGbf1dxwjqHIygVkHNuzLys/j233WMoM7BCGrZqAggqGMwgiJooBAE9Q9BUH/8BW3+LtRlyUIQFEEDhSCof0hPBL3z1LUkuff0mcduzrlJkd3ICOoRsnRZ0bEJ+vaZR68l9y+eT954vPkmQ3YjI6hHSC8Efem3vqh60HufuaZ70sabbEbZjYygHiG9EDQ9xN/51M3k3qefb7xRs+xqXhdJrkAxoZ2gWUgrQW3ViaJHgr79mHGx8SabTXYvQA/qEdIjQRf0oBrZjYygHiE9EpQxKIKukoWC3r94Lj1vb7jJkN3ICOoR0iNBuQ6KoKuEZ5IQtAEE9QdB/UFQOwhqqS7UZgcJQVB/ENQfBLWDoJbqQm12kBAE9QdB/UFQOwhqqS7UZgcJQVB/ENQfBLWDoJbqgmx2iC10Kis6CPpACdr8XXBLcrQ6ASAogiJoDoJaqguy2QjaBIIiaDQQ9IESNHB1AkBQBEXQnBUL2ur4lx8AEbRbEBRBETQHQS3VBdlsBG0CQRE0GgiKoAiag6CW6oJsNoI2gaAIGg0ERVAEzUFQS3VBNhtBm0BQBI0GgiIoguYgqKW6IJuNoE0gKIJGA0ERFEFzENRSXZDNRtAmEBRBo4GgCIqgOQhqqS7IZiNoEwiKoNFAUARF0BwEtVQXZLMRtAkERdBoICiCImjOigVttfc+ECLEVl2QzQ5cnQAQ1HH3BVYAQReAoI67L7ACCLoABHXcfYEVQNAFIKjj7gusAIIuAEEdd19gBRB0AQjquPsCK4CgC0BQx90XWAEEXQCCOu6+wAog6AIQ1HH3BVYAQReAoI67L7ACCLoABHXcfYEVQNAFIKjj7gusAIIuAEEdd19gBRB0AQjquPsCK4CgC0BQx90XWAEEXYBAQUN8m1GlLAT1r04ACOq4+wIrgKALCCLo60Fp9caMSs7ubHWt9t4HQoTYqgtC4OoEILAHDfHOoUpZ9KD+1QlAoKDRFGgVjKCrAUEdk6NVJ7HtBICgjsnRqpPYdgJAUMfkaNVJbDsBIKhjcrTqJLadABDUMTladRLbTgAI6pgcrTqJbScABHVMjladxLYTAII6JkerTmLbCQBBHZOjVSex7QSAoI7J0aqT2HYCQFDH5GjVSWw7ASCoY3K06iS2nQAQ1DE5WnUS204ACOqYHK06iW0nAAR1TI5WncS2EwCCOiZHq05i2wkAQR2To1Unse0EgKCOydGqk9h2AkBQx+Ro1UlsOwEgqGNytOoktp0AENQxOVp1rT4O4K041QkAQR2To1WHoI0gqGNytOoQtBEEdUyOVh2CNoKgjsnRqmv1gSqRvotZAAjqmBytOgRtBEEdk6NVh6CNIKhjcrTqELQRBHVMjlYdgjaCoI7J0apD0EYQ1DE5WnUI2giCOiZHqw5BG0FQx+Ro1SFoIwjqmLxW1QkAQR2T16o6ASCoY/JaVScABHVMXqvqBICgjslrVZ0AENQxea2qEwCCOiavVXUCQFDH5LWqTgAI6pi8VtUJAEEdk9eqOgEgqGPyWlUnAAR1TF6r6gSAoI7Ja1WdABDUMXmtqhNAWEElvmRMtgKyqxNAWEElNjLV+VcnAASluvnVCQBBqW5+dQJAUKqbX50AEJTq5lcnAASluvnVCQBBqW5+dQJAUKqbX50APAW99/SZx27mv8huZKrzr04AfoLev3g+eePx/DfZjUx1/tUJwE/Qe5+5ltx56lr2m+xGpjr/6gTgJ+idT91M7n36eXVvVzMQSa7AqutophfVCcBP0LcfywXVBH41U6iQI31UqOAgIb2oTgBte1CN7EamOo+Qvgs6bwy6ABQo6UV1AvA9iz/XeBa/ABQo6UV1Agh7HXQBKFDSi+oEIPAtH6FCeqGA7OoEgKDuwUFCelGdABDUPThISC+qEwCCugcHCelFdQJAUPfgICG9qE4ACOoeHCSkF9UJAEHdg4OE9KI6ASCoe3CQkF5UJwAEdQ8OEtKL6gSAoO7BQUJ6UZ0AENQ9OEhIL6oTQBBBhUJ1/gTQIgwhBF2aIJsdre2oTiIIGjZ4TauLB4KGDV7T6uLRqaAAriAoiAZBQTQICqJBUBBNPEHvPHlGcc5z2fP6Z/HG5pZxjWugul4QUVDdROWnO7gt++Sj12YbuUUc1QWtrlMiC3r/4vk7f/CHj1679/QZ1Wz3v/CX6g/5bfPHnE6Zu+w/PJ4mFLO1iaO6oNV1SmRB73zyeXPIeemc/jyn+xcfV3/gj5uH0inzl33pfH22NnFUF7S6Tok9Bk2bSn9UjjrE3P/C84n+r+5mU+Yt+9S1e390U/8sZmsTR3VBq+uUyD1odqv/q+aotEo2xbLsG+fUz3K2NnFUF7S6TulGUI9eQM34xVov0CKO6oJW1yndCJoPfMpWWTiOyk5H6+MozziqC1pdp3QkaH7qWLbKgjNR/dAbj86eiXrGUV3Q6jqFZ5JANAgKokFQEA2CgmgQFESDoCAaBAXRIKjhcMd8wdqxC8vM/M7Xk+mppeaE1iCo4XBnU9+Mj+8tnhc5uwRBDZmgB1vbi+dF0C5BUEMp6PT05wbH9/Qhf6hdfG5jMNicqh/b6ThgmEzNFCVpbR71sH5gsITg4AKCGjJBR8f3phtD/evQ/J9unLyRjAf6h5Y2m6jkVP/r86gFdcc63cDQsCCoITtJUkNQo9hEj0Un2tbtTDqlXzExFbQ+z6kL09NLjF/BFQQ1ZD1oko0wJ6pTNNKZXjH7UZ0486uZZ2SO+BAWBDWEEFQPYQfLXAYABxDUMCuoviA6yceVuaCViTO/Fmf2S10GAAcQ1DAjaPV8qPiRT9QSVk+Scn9158klqNAgqGFG0PISUkXQfKIabA5rl5myhydLPxUFy4OgIBoEBdEgKIgGQUE0CAqiQVAQDYKCaBAURIOgIBoEBdH8P/Ku4jKfW6CjAAAAAElFTkSuQmCC" /><!-- --></p>
</div>
<div id="finding-2-post-has-the-top-performing-brand" class="section level1">
<h1>Finding 2: Post has the top performing brand</h1>
<p>We will focus on 5 key brands the 2 Post brands, Honey Bunches of Oats (P-HBO) & Shredded Wheat (P-SW), The Kelloggs brands that are most comparable to the Post brands in terms of flavor and grain type, Smart Start (K-SS) & Frosted Mini Heats (K-FMW) respectively, and Kelloggs top performing brand Frosted Flakes (K-FF).</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Filtered out Gemeral Mills and focued on the 5 brand
<span class="kw">library</span>(plyr)
mtp.pk <-<span class="st"> </span><span class="kw">filter</span>(mtp, company <span class="op">==</span><span class="st"> </span><span class="kw">c</span>(<span class="st">"POST"</span>, <span class="st">"KELLOGGS"</span>))
mtp.pk <-<span class="st"> </span><span class="kw">filter</span>(mtp, brand <span class="op">==</span><span class="st"> </span><span class="kw">c</span>(<span class="st">"HONEY BUNCHES OF OATS"</span>, <span class="st">"SHREDDED WHEAT"</span>,
<span class="st">"SMART START"</span>, <span class="st">"FROSTED MINI WHEATS"</span>, <span class="st">"FROSTED FLAKES"</span>))
mtp.pk<span class="op">$</span>brand <-<span class="st"> </span><span class="kw">revalue</span>(mtp.pk<span class="op">$</span>brand, <span class="kw">c</span> (<span class="st">"HONEY BUNCHES OF OATS"</span> =<span class="st"> "P-HBO"</span>, <span class="st">"SHREDDED WHEAT"</span> =<span class="st"> "P-SW"</span>,
<span class="st">"SMART START"</span> =<span class="st"> "K-SS"</span>, <span class="st">"FROSTED MINI WHEATS"</span> =<span class="st"> "K-FMW"</span>,
<span class="st">"FROSTED FLAKES"</span> =<span class="st"> "K-FF"</span>))
<span class="kw">library</span>(tidyverse)
##Filtered Graph of the 5 Brand
mtp.pk <span class="op">%>%</span>
<span class="kw">ggplot</span>(<span class="kw">aes</span>(<span class="dt">x=</span><span class="kw">reorder</span>(brand, <span class="kw">desc</span>(TotalSale)), <span class="dt">y=</span>TotalSale, <span class="dt">fill =</span> ad)) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">stat_summary</span>(<span class="dt">fun.y =</span> <span class="st">"sum"</span>, <span class="dt">geom =</span><span class="st">"bar"</span>, <span class="dt">position =</span> <span class="st">"stack"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">fill =</span> <span class="st">"Ad Type"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Post sales are close to Kelloggs with there leading brand (HBO)"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Total Sale"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Brand"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">theme_light</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>promo)</code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>This graph looks at Total Sales per brand broken down by whether there was a promotion running at the time of the sale or not. As you can see Posts Honey Bunches of Oats (HBO) leads during promotion and with-out promotion very close to having top sales, mainly due to Mid/Small ad, when comparing it to Kellogg Frosted Flakes (FF). In this case clearly the ad has an impact on there sales. Posts other brand, Shredded Wheat (SW) is last in sales, while Kelloggs Frosted Mini Wheat (FMW) is forth on both counts. The Big-ad makes a huge impact on Frosted Mini Wheat (FMW) sale. These observations will be important as we look at how promotion and advertisement resources are allocated.</p>
</div>
<div id="finding-3-promotion-and-advertisement-resources" class="section level1">
<h1>Finding 3: Promotion and advertisement resources</h1>
<p>The above graph ranks each brand by the total number of units sold per brand, broken down by the type of ad that was ran for each brand, and the below shows the total number of units sold with or without promotions. When compared to the other brands in the graph, we see that any sized ad is not a determining factor in number of units sold, though further analysis is needed. Looking at the table we also observe that Posts HBO runs the second most number of promotions after Kellogg FF, with Post SW running the least. Yet HBO still has the highest number of units sold, and SW sold more units than SS. Signaling that there is a mixed correlation between number of promotions and total units sold, and there is likely another factor that determine number of units sold. that HBO, SW, and FF all run a majority of their ads at the same time as in store promotions When looked at in combination with the previous graphs.</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">grid.arrange</span>(
<span class="kw">ggplot</span>(mtp.pk,<span class="kw">aes</span>(<span class="dt">x=</span>company, <span class="dt">y=</span>units,<span class="dt">fill=</span>ad)) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">stat_summary</span>(<span class="dt">fun.y =</span> <span class="st">"sum"</span>, <span class="dt">geom =</span><span class="st">"bar"</span>, <span class="dt">position =</span> <span class="st">"stack"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_bar</span>(<span class="dt">stat=</span><span class="st">"identity"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">fill =</span> <span class="st">"Ad Type"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Kelloggs spends more in pormo and ad"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Units Sold"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Company"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">theme_light</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>promo),
<span class="kw">ggplot</span>(mtp.pk, <span class="kw">aes</span>(<span class="dt">x=</span>promo, <span class="dt">y=</span>units, <span class="dt">fill =</span> company)) <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">stat_summary</span>(<span class="dt">fun.y =</span> <span class="st">"sum"</span>, <span class="dt">geom =</span><span class="st">"bar"</span>, <span class="dt">position =</span> <span class="st">"stack"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">fill =</span> <span class="st">"Company Name"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Units Sold"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Promotions"</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">theme_light</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>ad),
<span class="dt">nrow =</span> <span class="dv">2</span>
)</code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="conclusion" class="section level1">
<h1>Conclusion</h1>
<p>In terms of promotion and advertising effectiveness, the analysis of the data provided shows us that there is no guarantee that more promotions or advertisements will translate into greater sales dollars or volume. Without cost data, it is impossible to determine the true effectiveness of promotions or ads in terms of sales dollars. The only definitive suggestion that can be made at this time is for Post to not increase the number of promotions and ads that they run.</p>
<div id="section" class="section level7">
<p></p>
</div>
</div>
<div id="technical-appendix" class="section level1">
<h1>Technical Appendix</h1>
<div id="looking-relationships-accross-comapny-brand-and-cereal-type" class="section level3">
<h3>Looking relationships accross comapny, brand and Cereal Type</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Group by company as a table
<span class="kw">kable</span>(mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">group_by</span>(company) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(promo) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">table</span>() )</code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
No Promo
</th>
<th style="text-align:right;">
Promo
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
GENERAL MILLS
</td>
<td style="text-align:right;">
157
</td>
<td style="text-align:right;">
28
</td>
</tr>
<tr>
<td style="text-align:left;">
KELLOGGS
</td>
<td style="text-align:right;">
1050
</td>
<td style="text-align:right;">
339
</td>
</tr>
<tr>
<td style="text-align:left;">
POST
</td>
<td style="text-align:right;">
322
</td>
<td style="text-align:right;">
99
</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Group by flavor as a table
<span class="kw">kable</span>(mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">group_by</span>(flavor) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(company) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">table</span>() )</code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
GENERAL MILLS
</th>
<th style="text-align:right;">
KELLOGGS
</th>
<th style="text-align:right;">
POST
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
APPLE CINNAMON
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
163
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
BROWN SUGAR MAPLE
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
110
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CINNAMON TOAST
</td>
<td style="text-align:right;">
185
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FRUIT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
162
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
HONEY ALMOND
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
119
</td>
</tr>
<tr>
<td style="text-align:left;">
HONEY ROASTED
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
113
</td>
</tr>
<tr>
<td style="text-align:left;">
ORIGINAL
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
132
</td>
</tr>
<tr>
<td style="text-align:left;">
REGULAR
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
707
</td>
<td style="text-align:right;">
57
</td>
</tr>
<tr>
<td style="text-align:left;">
TOASTED
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
247
</td>
<td style="text-align:right;">
0
</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## 1 overlap on by regular flavor with kelloggs and post</code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Group by grain as a table
<span class="kw">kable</span>(mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">group_by</span>(grain) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(company) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">table</span>())</code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
GENERAL MILLS
</th>
<th style="text-align:right;">
KELLOGGS
</th>
<th style="text-align:right;">
POST
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
3 GRAIN
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
162
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
569
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN WHEAT & OAT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
171
</td>
</tr>
<tr>
<td style="text-align:left;">
MULTI GRAIN
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
227
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
RICE
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
144
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
WHOLE GRAIN OAT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
89
</td>
<td style="text-align:right;">
61
</td>
</tr>
<tr>
<td style="text-align:left;">
WHOLE GRAIN WHEAT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
198
</td>
<td style="text-align:right;">
189
</td>
</tr>
<tr>
<td style="text-align:left;">
WHOLE WHEAT AND RICE
</td>
<td style="text-align:right;">
185
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## 2 overlap on by grain with kelloggs and post </code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## Group by brand as a table
<span class="kw">kable</span>(mtp <span class="op">%>%</span>
<span class="st"> </span><span class="kw">group_by</span>(brand) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">select</span>(company) <span class="op">%>%</span>
<span class="st"> </span><span class="kw">table</span>() )</code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
GENERAL MILLS
</th>
<th style="text-align:right;">
KELLOGGS
</th>
<th style="text-align:right;">
POST
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
APPLE JACKS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
163
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CINNAMON TST CR
</td>
<td style="text-align:right;">
185
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN FLAKES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
153
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
CORN POPS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
165
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROOT LOOPS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
162
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROSTED FLAKES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
251
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
FROSTED MINI WHEATS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
198
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
HONEY BUNCHES OF OATS
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
232
</td>
</tr>
<tr>
<td style="text-align:left;">
RICE KRISPIES
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
144
</td>
<td style="text-align:right;">
0
</td>
</tr>
<tr>
<td style="text-align:left;">
SHREDDED WHEAT
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
189
</td>
</tr>
<tr>
<td style="text-align:left;">
SMART START
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
153
</td>
<td style="text-align:right;">
0
</td>
</tr>
</tbody>
</table>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">## No overlap on brand. </code></pre></div>
</div>
<div id="sales-volume-and-units-analysis" class="section level3">
<h3>Sales, Volume and Units Analysis</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Total Volueme vs Total Sales</span>
<span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(<span class="dt">x =</span> TotalVolume, <span class="dt">y =</span> TotalSale, <span class="dt">col =</span> ad)) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_jitter</span>(<span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">stat_smooth</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>promo)</code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#make sense</span></code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Units Sold vs Total Sales</span>
<span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(<span class="dt">x =</span> units, <span class="dt">y =</span> TotalSale, <span class="dt">col =</span> ad)) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_jitter</span>(<span class="dt">alpha =</span> <span class="fl">0.2</span>) <span class="op">+</span>
<span class="st"> </span><span class="kw">stat_smooth</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>promo)</code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="regression-line-analysis-by-company" class="section level3">
<h3>Regression line analysis by company</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># </span>
<span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(units, TotalSale, <span class="dt">col =</span> ad)) <span class="op">+</span>
<span class="st"> </span><span class="kw">stat_smooth</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>company)</code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="analysis-relationships-accross-comapny-brand-ad-with-saleunits-range" class="section level3">
<h3>Analysis relationships accross comapny, brand, ad with Sale/units Range</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#is there any indentifiable relationship beetween ad and promo?</span>
<span class="kw">grid.arrange</span>(
<span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(<span class="kw">mean</span>(TotalSale), units, <span class="dt">fill =</span> ad)) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_boxplot</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>company),
<span class="kw">ggplot</span>(mtp, <span class="kw">aes</span>(<span class="kw">mean</span>(TotalSale), units, <span class="dt">fill =</span> promo)) <span class="op">+</span>
<span class="st"> </span><span class="kw">geom_boxplot</span>() <span class="op">+</span>
<span class="st"> </span><span class="kw">facet_grid</span>(. <span class="op">~</span><span class="st"> </span>company),
<span class="dt">ncol =</span> <span class="dv">1</span>
) </code></pre></div>
<p><img 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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">##Doesnt look like it </code></pre></div>
</div>
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