Diploma level curriculum as a guidance to educational institutes.
This project is maintained by SLASSCOM
Home > Introduction to Python > Data visualization
Module: Introduction to Python
Introduction to matplotlib / or plotly
Introducing charting library and brief overview of visualization.
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Line, Area, Pie Bar plots
https://www.datacamp.com/community/tutorials/matplotlib-tutorial-python?utm_source=adwords_ppc&utm_campaignid=1455363063&utm_adgroupid=65083631748&utm_device=c&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=332602034358&utm_targetid=aud-763347114660:dsa-473406587955&utm_loc_interest_ms=&utm_loc_physical_ms=9069783&gclid=CjwKCAiA-_L9BRBQEiwA-bm5fuF3ZZ6IJ4V4PXzEzWIhhM5YSs3zlDfQrYuFwR7PPwU5XNHmBrGP9xoC9ZgQAvD_BwE
Create different chart types.
Focus on sub plots and different styling.
Get a dataset from Kaggle and create few bar charts also make sure to pick a scenario which would have sub plots.
Histograms & Box plots
https://www.datacamp.com/community/tutorials/histograms-matplotlib?utm_source=adwords_ppc&utm_campaignid=1455363063&utm_adgroupid=65083631748&utm_device=c&utm_keyword=&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=278443377086&utm_targetid=aud-763347114660:dsa-429603003980&utm_loc_interest_ms=&utm_loc_physical_ms=9069783&gclid=CjwKCAiA-_L9BRBQEiwA-bm5fsWpRsBNSr2DziOifbSXQ178-KeyldEWNrhIY4dNp37k18HlukKx4RoCpqoQAvD_BwE
Create histograms and box plots.
Discussed why histograms and in which cases it’s useful.
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Density & scater plots
Applying statstical knowledge to create histograms & box plots (we need to provide right datasets and ask for analysis)
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Multi axes plots and advance charting
https://matplotlib.org/api/pyplot_api.html
Stacking charts, sharing axis, heat maps
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Final assignment
Explain the structure of the final project and outcomes.
Student can select any complex dataset and demostracte the analytical skills.
Selected dataset needs to be with few files.
Building a solution which involves loading data and doing some analysis, changing data and saving it back. OOP should get applied and All previously learnd lessons should get applied
Dataset to try out charting
https://www.kaggle.com/unanimad/us-election-2020?select=president_county.csv
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