SunKyoung Moon Solution for Kickbones1 project #329
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| #Loading Data | ||
| url <- "https://raw.githubusercontent.com/Dr-Eberle-Zentrum/Data-projects-with-R-and-GitHub/refs/heads/main/Projects/SunKyoung%20Moon/kaggle_dataset.csv" | ||
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| data <- read.csv(url) |
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since the data is within the same folder:
- set the working directory to the script file's location
- load the data directly from your local file
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| #Result | ||
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dont upload files somewhere else... they should be generated within the Rmd script and subsequently added to the github repo..!
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so please:
- knit the Rmd file within Rstudio (will generate a md file and respective png files in a subfolder
- commit the md and png files along with the markdown changes
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| # Summarize age groups for scatter plot | ||
| data <- data %>% | ||
| mutate(AgeGroup = case_when( |
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move this up to the pipeline after line 20... dont split your data wrangling
| head(data) | ||
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| # Convert app usage time from minutes/day to hours/day | ||
| data <- data %>% |
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recommendation: dont overwrite your data! split rawdata and modified one, in case you need two data sets. but typically, it is not needed
| device_user_counts <- data %>% | ||
| group_by(Device.Model) %>% | ||
| summarize(UserCount = n()) | ||
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dont store the data in a variable just for subsequent visualization. directly pipe from data via your changes into the ggplot call.. that way, less things can go wrong!
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and you have less variables.. ;)
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file name wise: dont put "first trial", "version X", etc. into file names.. this is why we are using a version control system like git to manage such meta information via its history or versioning. please rename!
| output: md_document | ||
| date: "2024-12-03" | ||
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you are missing a "code block start and end" using three backticks.. .please double check with the rmarkdown chapter from the beginning of the course!
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Hi Sun,
your graph looks great! I just have two remarks:
- You've computed the user count for each device model and created a separat graph with that information. It would be nice if you could add the user count into the violin charts at the corresponding device names. Additionally please sort the different charts corresponding to the user count in a descending order. That being said the x-axis should look something like this:
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Iphone 12 Xiaomi Mi 11 Google Pixel 5 OnePlus 9 Samsung Galaxy S21
146 Users 146 Users 142 Users 133 Users 133 Users
- As of now you display a scatterplot for the age without the differantiation of the gender. This leads to the points being between the violin charts of male and female. It would be nice if you could change your code in such a way that the scatterplot points appear inside the corresponding charts.
2. chage the variable name of data (redundancy problem) 3. add the user count into the violin charts at the corresponding device names 4. scatterplot points appear inside the corresponding charts
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Thanks for good feed-backs. Here is the version 2 link |
MoonSunKyung
changed the title
@kickbones1 project solution is here
link)