Learn how to create a dynamic line chart with points using ggplot2 and Plotly in this R Programming tutorial! In this step-by-step guide, I'll show you how to manipulate your data, pivot it, and build an interactive visualization. We'll take a real-world dataset of STEM teachers in Scotland and walk through the process of cleaning and reshaping the data, plotting trends, and adding interactivity.
⏱️Timestamps:
00:00 How to create a line chart in R
00:55 Set up R script and load data
02:20 Pivot using pivot_longer (tidyr package)
05:25 Set up chart (ggplot2 package)
07:45 Add trend line
09:05 Add points
09:55 Add labels to chart
11:55 Themes (theme()) changes to bar chart
15:00 Comma separate values on the Y axis
16:20 Add popup on hover over of dot (plotly) package
?There is a lot more alterations which can be done to the chart using ggplot2 and plotly. A reference which you may find helpful - https://ggplot2.tidyverse.org/reference/index.html and https://plotly.com/r/
➡️ The excel spreadsheet used in this project can be found at https://dataforknowledge.co.uk/r-project-create-line-chart/
⚠️ Note: 3rd party data was used in this project therefore I take no responsibility for the quality or accuracy or interpretation of the data. The data can be found at https://www.gov.scot/publications/teacher-census-supplementary-statistics/
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