Data Visualization Secrets Unleashed with Python | Part 1

Data visualization in Python is the process of creating graphical representations of data sets in order to better understand and analyze the data. It involves using various plotting libraries and tools in Python to create charts, graphs, and other visual representations of data. These visualizations can be used to identify trends, patterns, and correlations in the data, and can help to communicate the results of data analyses to others.

There are many libraries and tools available in Python for creating data visualizations, including Matplotlib, Seaborn, Plotly, and Bokeh.

Agenda:
1. Line plot
2. Bar plot
3. Scatter Plot
4. Histogram
5. Pie plot
6. Subplots

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