gender_school_earnings: Sample data to test the graphs.
In vedhav/tidycharts: Create interactive charts using the tidy syntax you know and love!
Description
Usage
Format
Source
Description
Loading data('tidychartsdata') will attach 2 data.frames to your environment for testing out the graphs,
You can run the examples from the function documentation
Usage
1
Format
gender_school_earnings is data frame with 21 observations and 4 variables:
- School
The school where this data was collected
- Women
Average earnings made by Women from that School
- Men
Average earnings made by Men from that School
- Gap
The gap between earnings of Men and Women for the respective School
Source
https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv
vedhav/tidycharts documentation built on Nov. 15, 2020, 3:26 p.m.
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Description Usage Format Source
Description
Loading data('tidychartsdata') will attach 2 data.frames to your environment for testing out the graphs, You can run the examples from the function documentation
Usage
1 |
Format
gender_school_earnings is data frame with 21 observations and 4 variables:
- School
The school where this data was collected
- Women
Average earnings made by Women from that School
- Men
Average earnings made by Men from that School
- Gap
The gap between earnings of Men and Women for the respective School
Source
https://raw.githubusercontent.com/plotly/datasets/master/school_earnings.csv
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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