Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
Python 3.8
| Intermediate
- 13 videos | 1h 33m 30s
- Includes Assessment
- Earns a Badge
Seaborn's smartly designed interface lets you illuminate data through aesthetically pleasing statistical graphics that are incredibly easy to build. In this course, you'll discover Seaborn's capabilities. You'll begin using strip plots and swarm plots and recognizing how they work together using low-intensity noise. You'll then work with time series data through various techniques, like resampling data at different time frequencies and plotting with confidence intervals and other types of error bars. Next, you'll visualize both logistic and linear regression curves. Moving on, you'll use the pairplot function to visualize the relationships between columns in your data, taken two at a time, in a grid format. You'll change the chart type being visualized and create pair plots with multiple chart types in each plot. Lastly, you'll create and format a heatmap of a correlation matrix to identify relationships between dataset columns.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
create custom figure-level and axis-level strip plots
contrast strip plots and swarm plots
visualize time series data using figure-level and axis-level line charts
perform operations on time series data
create custom line charts visualizing time series data
use the axis-level regplot() and figure-level lmplot() for regression plots -
use the hue, col, and row input arguments to categorize regression plots
apply logistic regressions to categorical data
create pair plots to visualize multivariate relationships
customize pair plots with KDE curves, regression plots, and contour maps
create custom heatmaps to visualize correlation matrices
summarize the key concepts covered in this course
IN THIS COURSE
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2m 45s
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9m 18sIn this video, find out how to create custom figure-level and axis-level strip plots. FREE ACCESS
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3. Creating Swarm Plots8m 51sIn this video, learn how to compare strip plots and swarm plots. FREE ACCESS
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4. Visualizing Basic Time Series Data7m 21sLearn how to visualize time series data using figure-level and axis-level line charts. FREE ACCESS
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5. Performing Time Series Operations7m 21sFind out how to operate on time series data. FREE ACCESS
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6. Creating Line Charts6m 2sIn this video, you will create custom line charts to visualize time series data. FREE ACCESS
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7. Visualizing Relationships Using Regression Plots8m 51sIn this video, learn how to use the regplot() at the axis-level and lmplot() at the figure-level for regression plots. FREE ACCESS
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8. Customizing Regression Plots Using Categories9m 29sFind out how to use the hue, col, and row input arguments to categorize regression plots. FREE ACCESS
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9. Applying Logistic Regression7m 31sDuring this video, you will learn how to apply logistic regression to categorical data. FREE ACCESS
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10. Creating Pair Plots8m 2sDuring this video, you will learn how to create pair plots to visualize relationships among multiple variables. FREE ACCESS
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11. Customizing Pair Plots8m 56sIn this video, you will learn how to customize pair plots with KDE curves, regression plots, and contour maps. FREE ACCESS
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12. Visualizing Correlation Matrices with Heatmaps6m 17sIn this video, you will create custom heatmaps to visualize correlation matrices. FREE ACCESS
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13. Course Summary2m 48s
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