Stock Analysis Tutorial - Advanced Beginner R Programming - Charting with ggplot2 (Part 5)

This is a beginner data science tutorial where we will build an interactive stock analysis dashboard using RStudio, the R programming language, and the 'Shiny' dashboard package. This tutorial covers web scraping, dynamically downloading stock data, basic r programming and data cleaning, plotting with ggplot2, and coding an interactive dashboard in Shiny.

In this video we create a historical price chart, an industry bar chart, and a performance bar chart.
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Download RStudio:

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Tidyverse:
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Basic Data Manipulation in R:

Pipe operator shortcut:
ctrl + shift + m

dplyr:
- filter()
- select()
- mutate()
- group_by() & summarize()
- left_join()

tidyr:
- spread()
- gather()

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Basic R videos:

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Social
Twitter:
@Matt_C_137

GitHub:
@MattC137

Email:

[IarukaSkYouk]

I actually gave up at part 3, it's too hard for me and I don't know if it's because I'm new or stupid. What you've done is very impressive Matt.
Thank you for the series, hope you'll post more.

[BarlasD]

When I plot the graph, all the dates in the data are written on the x-axis. That's why on the x-axis it turns white from the dense writing, and the dates cannot be distinguished. I haven't been able to find a solution to this. I'm just trying to write some dates (e.g. 90 days apart). There is a lot of data as the dataset is from 2012-11-07 to 2022-11-04. How can I do it