Difficulty Filtering Rows with Dates in a Data Frame Using dplyr in R
I'm experimenting with I'm working on a project and hit a roadblock. I've been trying to filter rows from a data frame based on a date column using the `dplyr` package in R, but I'm running into some issues with how the dates are being interpreted. I have a data frame `df` that contains a column `date_col` in the format `YYYY-MM-DD`, and I want to filter for rows where the date is after January 1, 2020. Here's a snippet of my code: ```r library(dplyr) df <- data.frame( id = 1:5, date_col = c('2019-12-31', '2020-01-02', '2020-05-15', '2021-03-10', '2018-11-12') ) result <- df %>% filter(date_col > '2020-01-01') ``` Despite using this code, I get an unexpected result, where it seems that no rows are being matched. I've checked and the data type of `date_col` is still character because I did not convert it to a Date object. I tried using `as.Date()` to convert the column, but I'm still working with issues. Here's what I attempted: ```r result <- df %>% mutate(date_col = as.Date(date_col)) %>% filter(date_col > as.Date('2020-01-01')) ``` After this change, I didn't receive any behavior, but the filtered result is still empty, which is confusing. I even printed `str(df)` to confirm the structure after conversion, and it shows that `date_col` is now of type `Date`. Could there be something I'm missing in the filtering step? I suspect it might be related to how I'm comparing the dates. Any guidance would be appreciated. Any ideas what could be causing this? What's the correct way to implement this?