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Tag: pivot_longer()

How to Convert Time to Numeric for Line Graphs in R?

How to Convert Time to Numeric for Line Graphs in R?

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Here is one dataset. With this data, I’ll create a line graph to show the change in day length over time. First, let’s transpose the columns to rows using pivot_longer(). I’ll sort the data by Day and Month, but since the month column is in text format, sorting it from January to December directly isn’t feasible. Therefore, I’ll add a number corresponding to each month for sorting purposes. Now, I can sort by ‘month1’ and ‘Day’ from January 1 to…

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How to add separate text to panels divided by facet_wrap() in R?

How to add separate text to panels divided by facet_wrap() in R?

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□ Graph Partitioning Using facet_wrap() in R Studio□ How to customize the title format in facet_wrap()? In my previous posts, I introduced how to divide panels in one figure using facet_wrap(). Today, I’ll introduce how to add separate text to panels. First, let’s make sure we have the required packages installed. I’ll create a dataset as shown below: Next, I’ll reshape the dataset into columns to facilitate data analysis. And then, I’ll summarize this data using descriptive statistics. Finally, I’ll…

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Converting Rows to Columns in R: A Guide to Transposing Data (feat. pivot_wider and pivot_longer)

Converting Rows to Columns in R: A Guide to Transposing Data (feat. pivot_wider and pivot_longer)

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When data is arranged, it can be structured either vertically (row-based) or horizontally (column-based). The choice depends on your preference for organizing data. However, when running statistics, data should be arranged row-based, as variables need to be in the same column. On the other hand, when calculating per variable, it is much easier to organize data column-based, allowing for simpler calculations. Regardless of the approach, well-organized data is essential, and the ability to restructure data is a valuable skill. Today,…

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