Course Content
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
1. Light Start
4. Matrix Plots
Ecdfplot
An ecdfplot represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
Task
Swipe to start coding
- Create the
ecdfplotusing theseabornlibrary:
- Set the
xparameter equals thebill_length_mm; - Set the
hueparameter equals the'island'; - Add the
complementaryparameter; - Set the
statparameter equals the'count'; - Set the palette equals the
'mako'; - Set the data.
Solution
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SectionΒ 2. ChapterΒ 4
Ecdfplot
An ecdfplot represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
Task
Swipe to start coding
- Create the
ecdfplotusing theseabornlibrary:
- Set the
xparameter equals thebill_length_mm; - Set the
hueparameter equals the'island'; - Add the
complementaryparameter; - Set the
statparameter equals the'count'; - Set the palette equals the
'mako'; - Set the data.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
Thanks for your feedback!
SectionΒ 2. ChapterΒ 4
Switch to desktop for real-world practiceContinue from where you are using one of the options below