Scatter Plots & Bubble Plots in Python | Matplotlib Tutorial Part 4 | Correlation with Scatter Plots
Another way of converting your continuous variables to charts is to scatter plots. Scatter plots require two continuous variables in order to plot them and hence they are bivariate.
Scatter plots are also very common in practice when it comes to identifying if there exists a relationship between variables or not. They can also depict if two continuous variables have a positive correlation, negative correlation, or no correlation.
*ADVANTAGES:*
1. Highlights correlation
2. Often depicts minimum, maximum, and outliers in the data.
3. Shows if there is a trend in the data.
*DISADVANTAGES:*
1. Only applicable to continuous variables.
2. Sometimes the results are inconclusive.
Code from this video with added data: https://github.com/anshulsingh6040/Ma...
Matplotlib Makers: https://matplotlib.org/stable/api/_as...
Matplotlib cmap/color maps : https://matplotlib.org/stable/tutoria...
#scatterplots #bubbleplots #matplotlib
On this page of the site you can watch the video online Scatter Plots & Bubble Plots in Python | Matplotlib Tutorial Part 4 | Correlation with Scatter Plots with a duration of hours minute second in good quality, which was uploaded by the user GNOSIS 11 June 2021, share the link with friends and acquaintances, this video has already been watched 949 times on youtube and it was liked by 28 viewers. Enjoy your viewing!
