Tag: data-wrangling
- Trouble with using pivot_longer from tidyr to reshape a data frame with nested lists in R 4.3
- scenarios when merging multiple data frames on multiple keys using dplyr - unexpected results
- Trouble with `stringr::str_extract` not matching regex as expected in R 4.3.1
- implementing `purrr::map` and unexpected data frame row binding when applying functions in R
- Pandas: solution with dynamically creating DataFrame from JSON with nested structure and achieving a flat format
- advanced patterns when using dplyr's mutate with custom functions and grouped data
- Confusion with R's `filter` and `mutate` when working with grouped data and new columns
- How to implement guide with merging multiple data frames using `dplyr::full_join()` resulting in duplicated rows in r
- scenarios when trying to pivot longer data with multiple value columns in R using `tidyr`
- How to implement guide with using `purrr::map()` to extract nested json data in r - unexpected list structure
- How to deal with inconsistent date formats when combining multiple CSV files in R?
- Error when using `tidyverse` to reshape data with `pivot_longer()` and handling NAs
- Issues with `pivot_longer()` from tidyr when handling NA values in R data frame
- Issue with combining multiple data frames using dplyr's bind_rows resulting in unexpected column types in R 4.3
- advanced patterns with `rbind()` when combining data frames with differing column types in R
- Trouble using `dplyr` to join two data frames with different column types in R 4.3.1
- Unexpected results when using `tidyr::pivot_wider()` with a custom aggregation function in R
- Unexpected output from `tidyr::pivot_longer` when dealing with mixed data types in R 4.3.1
- Trouble with creating a custom summary function for grouped data with dplyr in R
- Unexpected NA values when using `tidyr::pivot_wider()` for reshaping data in R
- scenarios when using tidyr's pivot_longer with NA values in column names
- scenarios in dynamic column renaming using dplyr's rename_with function in R - advanced patterns with special characters