Harp 150_ Week 12 Data 101.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyPIpdMcCV19qguyJNSs5ATb"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["* use a CSV file or an excel file to work with data\n","* Use the data in the sports\n","* Make sure you get the data analysis\n","* find bigger data sets.\n","* you will defeat the purpose of using code to use the dataset\n","* what does she mean by big, use over 10,000 rows of data.\n","* Spreadsheet Software (excel, google sheet)\n","* Point and click\n","* Easier to learn\n","* Great for small datasets (<10,000 rows)\n","* Better for browsing data\n","\n","* Pandas\n","* More powerful data manipulation with Python\n","* Can work with large datasets (millions of rows)\n","* Faster for complicated manipulations\n","* Better for cleaning and/or pre-processing data\n","* Can automate workflows in a larger data pi\n","* For the data project, the actual data analysis has to be done through code\n","* Depending on the sport"],"metadata":{"id":"pwvP9mjVFISD"}},{"cell_type":"markdown","source":["https://docs.google.com/presentation/d/1h4N5JhDTS8LF2EY4utJniSCch6P9jJYqh4wRjHXlqWI/edit?usp=sharing"],"metadata":{"id":"ED19l2WSGbC4"}},{"cell_type":"markdown","source":["\n","\n","*   Data analysis is typically driven by one or more research questions\n","* To analyze, you need to explore what the data can “tell” you – this requires cleaning it and getting read of outliers that can bias your results\n","* Types of analysis:\n","  * Diagnostic (Why did x happen?)\n","  * Predictive (What will probably happen?)\n","  * Prescriptive (What should you do next?)\n","  * Statistical (What happened?)\n","  * Dana mining (Examines vast quantities of text data)\n"," * Let’s look at an example from Github called “Trucks and Beer”\n","*   \n","\n"],"metadata":{"id":"iMgX96KGGOUk"}},{"cell_type":"code","source":[],"metadata":{"id":"uqXfuisbGeXA"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Advantages of using python for coding:\n","\n","* Access data (like APIs, webscrapping, and your own datasets)\n","* clean data - process of identify and correcting inaccuratne and corrupt data\n","* visualize data - Creating visuals / graphics of your data\n","* Analyze data - a process that can include data cleaning and visualizatio, allowing you to learn from the data\n","* Create Data - you can use python to create files\n","\n","* may have scraping bots."],"metadata":{"id":"dH1hcdXMGexP"}}]}