Seaborn Python Tutorial | Data Visualization Using Python in Seaborn | Great Learning
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Data Visualization makes it so easy to work on abundant data. It presents the data in a simplified and easy to understand manner. Data visualization is useful for data cleaning, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. Libraries like Seaborn and Matplotlib do the same for us and it makes it easier to draw insights from abundant data and work accordingly on it.
00:00 – SeaBorn Python Tutorial
00:40 – SeaBorn Line Plot
09:00 – SeaBorn Bar Plot
16:47 – SeaBorn Scatterplot
22:02 – SeaBorn Histogram/Distplot
28:28 – SeaBorn JointPlot
31:58 – SeaBorn BoxPlot
Seaborn is a Python library which is used for making statistical graphics in Python. It is built on top of Matplotlib and integrates closely with pandas data structures. Seaborn is a Python data visualization library based on Matplotlib. Seaborn helps you explore and understand your data. It provides a high-level interface for drawing attractive and informative statistical graphics.
Seaborn is a library that uses Matplotlib underneath to plot graphs. It is used to visualize random distributions. Seaborn is one of the most amazing Python libraries. Want to know more about this interesting library? Then do watch the python tutorial till the end.
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