From the course: Choose the Right Tool for Your Data: Python, R, or SQL

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Visualizing data using Python

Visualizing data using Python

From the course: Choose the Right Tool for Your Data: Python, R, or SQL

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Visualizing data using Python

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- [Educator] Often, the last step in a data analysis project is data visualization. Data visualization is the visual representation of data through the use of graphs, charts, and plots. Doing so allows you to bring your data analyses to the next level by being able to spot and communicate patterns and outliers. In Python, you'll perform data visualizations using a few popular packages, Matplotlib, Seaborn, Bokeh, and Plotly, just to name a few. Matplotlib is probably the most basic visualization package you'll be working with and is often used for graphs like bar charts and line charts. A common real-world use of Matplotlib charts is for embedding graphs into applications. Matplotlib is actually built on top of a library we just saw in the previous video, NumPy, which deals with arrays. Seaborn is another common library used for generating plots but specifically for statistical analysis purposes. It's considered to be…

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