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index.py
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index.py
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import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
from dash.exceptions import PreventUpdate
import pandas as pd
import numpy as np
import pathlib
PATH = pathlib.Path(__file__).parent
DATA_PATH = PATH.joinpath("./data").resolve()
data = pd.read_csv(DATA_PATH.joinpath('sales_data.csv'))
# Remove last row
data.drop(data.index[-1], inplace = True)
# Remove commas from columns
data['Revenues'] = data['Revenues'].str.replace(',', '')
data['Total Cost (Sales & Marketing)'] = data['Total Cost (Sales & Marketing)'].str.replace(',', '')
data['Target'] = data['Target'].str.replace(',', '')
# Change data type of columns
data['Revenues'] = data['Revenues'].astype('int64')
data['Total Cost (Sales & Marketing)'] = data['Total Cost (Sales & Marketing)'].astype('int64')
data['Orders Placed'] = data['Orders Placed'].astype('int64')
data['Customers'] = data['Customers'].astype('int64')
data['Purchased Items'] = data['Purchased Items'].astype('int64')
data['Inquiries'] = data['Inquiries'].astype('int64')
data['Target'] = data['Target'].astype('int64')
data['Lead'] = data['Lead'].astype('int64')
data['Opportunity'] = data['Opportunity'].astype('int64')
# print(data['Conversion Rate'])
font_awesome = "https://use.fontawesome.com/releases/v5.10.2/css/all.css"
meta_tags = [{"name": "viewport", "content": "width=device-width"}]
external_stylesheets = [meta_tags, font_awesome]
app = dash.Dash(__name__, external_stylesheets = external_stylesheets)
app.layout = html.Div((
html.Div([
html.Div([
html.Img(src = app.get_asset_url('statistics.png'),
style = {'height': '30px'},
className = 'title_image'
),
html.H6('KPI Sales Dashboard',
style = {'color': 'white'},
className = 'title'
),
], className = 'logo_title'),
html.Div([
html.P('Select Month',
style = {'color': 'white'},
className = 'drop_down_list_title'
),
dcc.Dropdown(id = 'select_month',
multi = False,
clearable = True,
disabled = False,
style = {'display': True},
value = 'MAR',
placeholder = 'Select Month',
options = [{'label': c, 'value': c}
for c in data['Months'].unique()],
className = 'drop_down_list'),
], className = 'title_drop_down_list'),
], className = 'title_and_drop_down_list'),
html.Div([
html.Div([
html.Div(id = 'text1',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart1',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
html.Div([
html.Div(id = 'text2',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart2',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
html.Div([
html.Div(id = 'text3',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart3',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
html.Div([
html.Div(id = 'text4',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart4',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
html.Div([
html.Div(id = 'text5',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart5',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
html.Div([
html.Div(id = 'text6',
className = 'card_size'),
html.Div([
dcc.Graph(id = 'chart6',
config = {'displayModeBar': False}),
], className = 'chart')
], className = 'text_graph_column'),
], className = 'flex_container'),
html.Div([
html.Div([
html.Div([
dcc.Graph(id = 'donut_chart1',
config = {'displayModeBar': False},
className = 'donut_chart_size'),
html.Div(id = 'donut_chart_text1',
className = 'donut_chart_text')
], className = 'chart_container'),
html.Div([
dcc.Graph(id = 'donut_chart2',
config = {'displayModeBar': False},
className = 'donut_chart_size'),
html.Div(id = 'donut_chart_text2',
className = 'donut_chart_text')
], className = 'chart_container'),
html.Div([
dcc.Graph(id = 'donut_chart3',
config = {'displayModeBar': False},
className = 'donut_chart_size'),
html.Div(id = 'donut_chart_text3',
className = 'donut_chart_text')
], className = 'chart_container')
], className = 'donut_chart_column'),
html.Div([
dcc.Graph(id = 'funnel_chart',
config = {'displayModeBar': False},
className = 'funnel_chart_size'),
dcc.Graph(id = 'bar_chart',
config = {'displayModeBar': False},
className = 'bar_chart_size'),
], className = 'funnel_bar_chart_column'),
html.Div([
dcc.Graph(id = 'stack_bar_chart',
config = {'displayModeBar': False},
className = 'stack_bar_chart_size'),
html.Div([
dcc.Graph(id = 'percent_bar_chart',
config = {'displayModeBar': False},
className = 'percent_bar_chart_size'),
html.Div([
html.Div([
html.Div(className = 'background_size1'),
html.Div([
html.Div(id = 'chart_text1',
className = 'chart_text1'),
dcc.Graph(id = 'average_sales_bar_chart1',
config = {'displayModeBar': False},
className = 'average_sales_bar_chart1'),
], className = 'average_sales_bar_chart_row1')
], className = 'average_sales_bar_chart_column1'),
html.Div([
html.Div(className = 'background_size2'),
html.Div([
html.Div(id = 'chart_text2',
className = 'chart_text2'),
dcc.Graph(id = 'average_sales_bar_chart2',
config = {'displayModeBar': False},
className = 'average_sales_bar_chart2'),
], className = 'average_sales_bar_chart_row2')
], className = 'average_sales_bar_chart_column2')
], className = 'average_sales_chart_column')
], className = 'average_sales_row')
], className = 'bar_chart_column')
], className = 'create_row')
))
@app.callback(Output('text1', 'children'),
[Input('select_month', 'value')])
def update_text(select_month):
if select_month is None:
raise PreventUpdate
else:
# Calculate difference between two months
data['Revenues_Difference'] = data['Revenues'].diff()
# Calculate percentage change difference between two months
data['pct_Difference'] = (data['Revenues'].pct_change()) * 100
data['Revenues_Difference'] = data['Revenues_Difference'].fillna(0)
filter_month = data[data['Months'] == select_month]
revenues = filter_month['Revenues'].iloc[0]
revenues_difference = filter_month['Revenues_Difference'].iloc[0]
revenues_pct_change = filter_month['pct_Difference'].iloc[0]
if revenues_difference > 0:
return [
html.P('Revenues',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(revenues),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-up",
style = {"font-size": "35px",
'color': '#00cc00'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('+${0:,.2f}'.format(revenues_difference),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('+{0:,.1f}%'.format(revenues_pct_change),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif revenues_difference < 0:
return [
html.P('Revenues',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(revenues),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-down",
style = {"font-size": "35px",
'color': '#EC1E3D'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('-${0:,.2f}'.format(abs(revenues_difference)),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('{0:,.1f}%'.format(revenues_pct_change),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif revenues_difference == 0:
return [
html.P('Revenues',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(revenues),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('0.00',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('0.0%',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
@app.callback(Output('chart1', 'figure'),
[Input('select_month', 'value')])
def update_graph(select_month):
if select_month is None:
raise PreventUpdate
else:
month = data['Months']
value = data['Revenues']
return {
'data': [go.Scatter(
x = month,
y = value,
mode = 'lines',
line = dict(width = 3, color = '#00b300'),
hoverinfo = 'skip',
)],
'layout': go.Layout(
height = 50,
width = 150,
plot_bgcolor = 'rgba(0, 0, 0, 0)',
paper_bgcolor = 'rgba(0, 0, 0, 0)',
margin = dict(t = 0, b = 0, r = 0, l = 0),
xaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
yaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
)
}
@app.callback(Output('text2', 'children'),
[Input('select_month', 'value')])
def update_text(select_month):
if select_month is None:
raise PreventUpdate
else:
# Calculate profit
data['Profit'] = data['Revenues'] - data['Total Cost (Sales & Marketing)']
# Calculate difference between two months
data['Profit_Difference'] = data['Profit'].diff()
# Calculate percentage change difference between two months
data['Profit_pct_Difference'] = (data['Profit'].pct_change()) * 100
data['Profit_Difference'] = data['Profit_Difference'].fillna(0)
filter_month = data[data['Months'] == select_month]
profit = filter_month['Profit'].iloc[0]
profit_difference = filter_month['Profit_Difference'].iloc[0]
profit_pct_change = filter_month['Profit_pct_Difference'].iloc[0]
if profit_difference > 0:
return [
html.P('Profit',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(profit),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-up",
style = {"font-size": "35px",
'color': '#00cc00'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('+${0:,.2f}'.format(profit_difference),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('+{0:,.1f}%'.format(profit_pct_change),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif profit_difference < 0:
return [
html.P('Profit',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(profit),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-down",
style = {"font-size": "35px",
'color': '#EC1E3D'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('-${0:,.2f}'.format(abs(profit_difference)),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('{0:,.1f}%'.format(profit_pct_change),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif profit_difference == 0:
return [
html.P('Profit',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('${0:,.0f}'.format(profit),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('0.00',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('0.0%',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
@app.callback(Output('chart2', 'figure'),
[Input('select_month', 'value')])
def update_graph(select_month):
if select_month is None:
raise PreventUpdate
else:
month = data['Months']
value = data['Profit']
return {
'data': [go.Scatter(
x = month,
y = value,
mode = 'lines',
line = dict(width = 3, color = '#00b300'),
hoverinfo = 'skip',
)],
'layout': go.Layout(
height = 50,
width = 150,
plot_bgcolor = 'rgba(0, 0, 0, 0)',
paper_bgcolor = 'rgba(0, 0, 0, 0)',
margin = dict(t = 0, b = 0, r = 0, l = 0),
xaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
yaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
)
}
@app.callback(Output('text3', 'children'),
[Input('select_month', 'value')])
def update_text(select_month):
if select_month is None:
raise PreventUpdate
else:
# Calculate difference between two months
data['Orders_Difference'] = data['Orders Placed'].diff()
# Calculate percentage change difference between two months
data['Orders_pct_Difference'] = (data['Orders Placed'].pct_change()) * 100
data['Orders_Difference'] = data['Orders_Difference'].fillna(0)
filter_month = data[data['Months'] == select_month]
orders_placed = filter_month['Orders Placed'].iloc[0]
orders_difference = filter_month['Orders_Difference'].iloc[0]
orders_pct_change = filter_month['Orders_pct_Difference'].iloc[0]
if orders_difference > 0:
return [
html.P('Orders Placed',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('{0:,.0f}'.format(orders_placed),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-up",
style = {"font-size": "35px",
'color': '#00cc00'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('+{0:,.2f}'.format(orders_difference),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('+{0:,.1f}%'.format(orders_pct_change),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif orders_difference < 0:
return [
html.P('Orders Placed',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('{0:,.0f}'.format(orders_placed),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-down",
style = {"font-size": "35px",
'color': '#EC1E3D'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('-{0:,.2f}'.format(abs(orders_difference)),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('{0:,.1f}%'.format(orders_pct_change),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif orders_difference == 0:
return [
html.P('Orders Placed',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('{0:,.0f}'.format(orders_placed),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('0.00',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('0.0%',
style = {
'color': 'white',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
@app.callback(Output('chart3', 'figure'),
[Input('select_month', 'value')])
def update_graph(select_month):
if select_month is None:
raise PreventUpdate
else:
month = data['Months']
value = data['Orders Placed']
return {
'data': [go.Scatter(
x = month,
y = value,
mode = 'lines',
line = dict(width = 3, color = '#00b300'),
hoverinfo = 'skip',
)],
'layout': go.Layout(
height = 50,
width = 150,
plot_bgcolor = 'rgba(0, 0, 0, 0)',
paper_bgcolor = 'rgba(0, 0, 0, 0)',
margin = dict(t = 0, b = 0, r = 0, l = 0),
xaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
yaxis = dict(showline = False,
showgrid = False,
linecolor = 'white',
linewidth = 1,
ticks = 'outside',
tickfont = dict(
family = 'Arial',
size = 12,
color = 'white')
),
)
}
@app.callback(Output('text4', 'children'),
[Input('select_month', 'value')])
def update_text(select_month):
if select_month is None:
raise PreventUpdate
else:
# Calculate difference between two months
data['Customers_Difference'] = data['Customers'].diff()
# Calculate percentage change difference between two months
data['Customers_pct_Difference'] = (data['Customers'].pct_change()) * 100
data['Customers_Difference'] = data['Customers_Difference'].fillna(0)
filter_month = data[data['Months'] == select_month]
customers = filter_month['Customers'].iloc[0]
Customers_difference = filter_month['Customers_Difference'].iloc[0]
Customers_pct_change = filter_month['Customers_pct_Difference'].iloc[0]
if Customers_difference > 0:
return [
html.P('Customers',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('{0:,.0f}'.format(customers),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-up",
style = {"font-size": "35px",
'color': '#00cc00'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('+{0:,.2f}'.format(Customers_difference),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_difference_value'
),
html.P('+{0:,.1f}%'.format(Customers_pct_change),
style = {
'color': '#00cc00',
'fontSize': 14,
}, className = 'monthly_pct_change'
),
], className = 'difference_value_row'),
html.P('vs previous month',
style = {
'color': 'white',
'fontSize': 13,
'font-weight': 'bold'
},
className = 'text_previous_month'
),
], className = 'difference_value_column')
]
elif Customers_difference < 0:
return [
html.P('Customers',
style = {
'color': 'white',
'fontSize': 17,
'font-weight': 'bold'
},
className = 'card_title'
),
html.Div([
html.P('{0:,.0f}'.format(customers),
style = {
'color': 'white',
'fontSize': 25,
'font-weight': 'bold'
}, className = 'monthly_value'
),
html.Div([
html.I(className = "fas fa-caret-down",
style = {"font-size": "35px",
'color': '#EC1E3D'},
),
], className = 'value_indicator'),
], className = 'value_and_indicator'),
html.Div([
html.Div([
html.P('-{0:,.2f}'.format(abs(Customers_difference)),
style = {
'color': '#EC1E3D',
'fontSize': 14,
}, className = 'monthly_difference_value'
),