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Plotting X-Y points is a good start, but in most cases you'll want to do a little bit more. seaborn is a plotting library built on top of Matplotlib that makes it easier to create good-looking visualisations.
Replace the code in main.py with the following. Remember how we mentioned earlier that data scientists have traditions about how to import certain libraries? Here you see a few more of these "short names". We'll use seaborn for plotting but import it as sns, pandas for reading the CSV file but import it as pd and NumPy for calculating the correlation but import it as np.
Replace the code in main.py with the following. Remember how we mentioned earlier that data scientists have traditions about how to import certain libraries? Here you see a few more of these "short names". We'll use seaborn for plotting but import it as sns, pandas for reading the CSV file but import it as pd and NumPy for calculating the correlation but import it as np.
Here, we'll demonstrate how to do option 3, using Python and Matplotlib.
Creating a full web application with something like Flask, analysing the data in Python and passing the results to a front end to be visualised.