93
34
Unlimited Duration
January 30, 2023
Courses
Students
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.
In today’s world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, analyze. In this course, we will discuss how to visualize data using Python.
Python provides various libraries that come with different features for visualizing data. All these libraries come with different features and can support various types of graphs. In this tutorial, we will be discussing four such libraries.
- Matplotlib
- Seaborn
- Bokeh
- Plotly
-
- Overview of Python plotting libraries (Matplotlib, Seaborn, Plotly, Bokeh) Unlimited
- Importing data into Python and Data preparation Unlimited
- Main idea: Get a grasp of the plotting libraries and techniques to prepare data for plotting. Unlimited
-
- Scatter plots Unlimited
- Line plots Unlimited
- Histograms Unlimited
- Boxplots Unlimited
- Main idea: Plotting various types of graphs with purely numeric data to gain insights. Unlimited
- Bar plots Unlimited
- Line plots Unlimited
- Boxplots Unlimited
- Main idea: Combining the power of categorical and numeric data to create eye-catching plots. Unlimited
- 3D scatter plots Unlimited
- Surface plots Unlimited
- Bubble plots Unlimited
- Parallel Coordinates plots Unlimited
- Main idea: Adding a third dimension to plots to gain a deeper understanding of data relationships. Unlimited
- Overview of Plotly and Bokeh Unlimited
- Creating interactive plots (line, scatter, bar, etc.) Unlimited
- Adding animations and interactivity Unlimited
- Deploying plots to the web Unlimited
- Main idea: Learn how to create interactive and animated plots for a more engaging experience. Unlimited
