[OC] Pandemic Impact on Used Honda Civic Prices

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/dataisbeautiful

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  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    The main difficulty here is the web scraping and less data analysis or visualisation, once you have the data you need a chart like this could be done in Excel. For something more complex, there are many alternatives but keeping with the python theme you could use pandas and matplotlib. A decent free introduction to those tools I can recommend is Python Data Science Handbook by Jake VanderPlas. Running your code inside a Jupyter Notebook will make things easier as you can break up your program into small parts called “cells”, examine their output then make any needed changes without having to run the whole program again. There are lots of ways to set it up, one being inside Visual Studio Code which (should) handle installing Jupyter and/or Python for you from what I remember.

  • cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

    The main difficulty here is the web scraping and less data analysis or visualisation, once you have the data you need a chart like this could be done in Excel. For something more complex, there are many alternatives but keeping with the python theme you could use pandas and matplotlib. A decent free introduction to those tools I can recommend is Python Data Science Handbook by Jake VanderPlas. Running your code inside a Jupyter Notebook will make things easier as you can break up your program into small parts called “cells”, examine their output then make any needed changes without having to run the whole program again. There are lots of ways to set it up, one being inside Visual Studio Code which (should) handle installing Jupyter and/or Python for you from what I remember.

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    The main difficulty here is the web scraping and less data analysis or visualisation, once you have the data you need a chart like this could be done in Excel. For something more complex, there are many alternatives but keeping with the python theme you could use pandas and matplotlib. A decent free introduction to those tools I can recommend is Python Data Science Handbook by Jake VanderPlas. Running your code inside a Jupyter Notebook will make things easier as you can break up your program into small parts called “cells”, examine their output then make any needed changes without having to run the whole program again. There are lots of ways to set it up, one being inside Visual Studio Code which (should) handle installing Jupyter and/or Python for you from what I remember.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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