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facet plot done

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Jasleen Sondhi 2022-03-01 01:22:49 +05:30 committed by GitHub
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3-Data-Visualization/R/12-visualization-relationships/README.md
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@ -119,15 +119,11 @@ To discover this, you can explore a facet grid.
Facet grids take one facet of your dataset (in our case, you can choose 'year' to avoid having too many facets produced). Seaborn can then make a plot for each of those facets of your chosen x and y coordinates for more easy visual comparison. Does 2003 stand out in this type of comparison?
Create a facet grid by continuing to use `relplot` as recommended by [Seaborn's documentation](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html?highlight=facetgrid#seaborn.FacetGrid).
Create a facet grid by using `facet_wrap` as recommended by [ggplot2's documentation](https://ggplot2.tidyverse.org/reference/facet_wrap.html).
```python
sns.relplot(
data=honey,
x="yieldpercol", y="numcol",
col="year",
col_wrap=3,
kind="line"
```r
ggplot(honey, aes(x=yieldpercol, y = numcol,group = 1)) +
geom_line() + facet_wrap(vars(year))
```
In this visualization, you can compare the yield per colony and number of colonies year over year, side by side with a wrap set at 3 for the columns: