Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets.
Matplotlib is a highly customized and robust. Seaborn avoids overlapping of plots with the help of its default themes. Data Frames and Arrays. Matplotlib works efficiently with data frames and arrays.It treats figures and axes as objects.
Seaborn is a library that uses Matplotlib underneath to plot graphs. It will be used to visualize random distributions.
I used different Chart types (bar, line ,reg etc) for plotting.
For more detail you can see my notebook.
Mahnoor Rana
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