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2025-09-21 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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In this article, the editor introduces "R language data visualization case analysis" in detail, the content is detailed, the steps are clear, and the details are handled properly. I hope this "R language data visualization case analysis" article can help you solve your doubts. Let's follow the editor's ideas to learn new knowledge.
The following are the expansion packs involved in this case:
Library ("plyr")
Library ("tidyr")
Library ("ggthemes")
Library ("sca")
Library ("dplyr")
Library ("showtext")
Library ("Cairo")
Library ("grid")
Font.add ("myfont", "msyh.ttc")
Font.add ("myfzhzh", "founder bold black simplified .TTF")
I cut the case into two parts:
In fact, it can be done if you put it in a picture, it's just to write more code, but when it comes to the problem of duplicate color scales, we can't find a solution at 01:30, in order to restore the case effect more realistically. I decided to do it separately.
The lower half of the original picture (bar chart) (hereinafter referred to as module 1)
The upper part (stacked column chart + connection belt) (hereinafter referred to as module 2)
Import the data source:
Tea_data
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