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Data Graph Explorer is a Python project that allows users to upload a .csv file from their local computer, input a URL, or hardcode a URL. It uses Pandas to load the data, display the first two rows, convert selected columns to Numpy arrays, and plot scatter or line graphs for analysis.

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davidecarluccio/data-graph-explorer

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Build a Data Graph Explorer

You will be working on this project with Google Colaboratory.

Once you complete the project, submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."


For this challenge, you need to create a data graph explorer using Python that take input and do the following:

  • Get a .csv file in three ways
    • uploading it from the local computer
    • getting a url from user input
    • putting the url in the code
  • Use the Pandas library to save the .csv as a dataframe
  • Print headings and the first two rows
  • Store the column names as a list
  • Choose one or two columns and convert the data to Numpy arrays
  • Display data as a scatter plot or a line graph
  • Be able to do this for different column combinations, and interpret the graphs

Once you're done, submit the URL to the public Colab notebook on your Google drive.

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Data Graph Explorer is a Python project that allows users to upload a .csv file from their local computer, input a URL, or hardcode a URL. It uses Pandas to load the data, display the first two rows, convert selected columns to Numpy arrays, and plot scatter or line graphs for analysis.

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