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Update ggplot2-readme-problems.md #10

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6 changes: 3 additions & 3 deletions ggplot2-readme-problems.md
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Expand Up @@ -6,7 +6,7 @@ ggplot2 <img src="man/figures/logo.png" align="right" />
Overview
--------

ggplot2 is a system for declaratively creating graphycs, based on [The Grammar of Graphics](https://www.youtube.com/watch?v=HnWuIjUw_Q8). You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
ggplot2 is a system for declaratively creating graphics, based on [The Grammar of Graphics](https://www.youtube.com/watch?v=HnWuIjUw_Q8). You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

Installation
------------
Expand All @@ -31,7 +31,7 @@ Cheatsheet
Usage
-----

It's hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualisation. However, in most cases you start with `ggplot()`, supply a dataset and aesthetic mapping (with `aes()`). You then add on layers (like `geom_point()` or `geom_histogram()`), scales (like `scale_colour_brewer()`), faceting specifications (like `facet_wrap()`) and coordinate systems (like `coord_flip()`).
It's hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualization. However, in most cases you start with `ggplot()`, supply a dataset and aesthetic mapping (with `aes()`). You then add on layers (like `geom_point()` or `geom_histogram()`), scales (like `scale_colour_brewer()`), faceting specifications (like `facet_wrap()`) and coordinate systems (like `coord_flip()`).

``` r
library(ggplot2)
Expand All @@ -47,7 +47,7 @@ Lyfecycle

[![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://www.tidyverse.org/lifecycle/#stable)

ggplot2 is now over 10 years olde and is used by hundreds of thousands of tiny people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functionz or argumentz rather than changing the behaviour of existing functions, and if we do make changes to existing behaviour we will do them for compelling reasons.
ggplot2 is now over 10 years old and is used by hundreds of thousands of tiny people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behaviour of existing functions, and if we do make changes to existing behaviour we will do them for compelling reasons.

If you are looking for innovation!, look to ggplot2's rich ecosystem of extensions. See a community maintained list at <http://www.ggplot2-exts.org/gallery/>.

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