Data science and visualization with Repl.it

1

Pandas

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.

#Data Science And Machine Learning #Data Science Tools #Python Tools 196 social mentions

2

NumPy

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.

#Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

3

Matplotlib

Here, we'll demonstrate how to do option 3, using Python and Matplotlib.

#Development #Data Visualization #Technical Computing 98 social mentions

4

Dataset Search

You've learned how to make some basic plots using Python and Repl.it. There are millions of freely available data sets on the internet, waiting for people to explore them. You can find many of these using Google's Dataset Search service. Pick a topic that you're interested in and try to find out more about it through data visualisations.

#Developer Tools #Tech #Productivity 51 social mentions