▶️ Top 7 R packages that are less well known - ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-V-EssPrGPHg.html 🎉 *Subscribe* if you want more videos like this! - ru-vid.com/show-UCb5aI-GwJm3ZxlwtCsLu78Q 😃 *Comment* below to share which tricks you liked the most!!
Good question! It's a regular expression, and its purpose is to remove an optional '.' at the end of the string of text. For example, ' INC.' or ' CO.' or ' INC' or ' CO' would all be matched and replaced with the empty string (i.e. removed from the text). So 'QUANTAS CO.' (hypothetical) and 'QUANTAS CO' would both become 'QUANTAS' We can break down the "\\.?$" like this: \\. translates into \. - this says to match an actual '.' character. If we didn't have the '\\', it would match _any_ character because '.' is the regular expression code for any character. ? means 'optional' - so the actual '.' may or may not be present - if it is present, it will be matched. $ means the 'end of the string of text'. So putting it together, this means: 'Replace ' ' # a space followed by 'INC' or 'CO' # (INC|CO) followed by an optional '.' # \\.? if all at the end of the string # $ with the empty string # "" ' More info on regular expressions here: r4ds.had.co.nz/strings.html#matching-patterns-with-regular-expressions
Technically it's not necessary! But I have gotten into the habit of 'ungroup()'ing every time after a group_by() because in other contexts - e.g. when the pipe continues with further mutates, summarizes, etc. - forgetting to ungroup() can result in the wrong outcomes. That's because summarize() by default only peels off the last variable in the group_by(). So I have developed the habit of always ungroup()ing after a group_by(), even when it's not necessary!
I just started watching some few videos for school purposes, they are great, but u are so fast😅, it will be a great thing if u could speak a little slowly and even repeat some few things, thanks
Hi Tom, do you have the script available for download anywhere? Would love to revisit a few of the tips here. Really like your work. Thanks for sharing! -- Juan
My data(csv) is about historial heights between both genders of different ages . Here , my data contains heights of every years (1986-2019) & Age group > 2 , 8 , 16 , 19 , 22 . Also Male , Female sex . But I just want to select / work with only age 19 (gender male/both) to see their heights between 1986-2019 . How can I do it ? plz let me know .
You can work with something like this: heights %>% filter(year %>% between(1986, 2019)) %>% # year >= 1986, year = 1986 & year % # change to just 'age_group == 19' or 'age_group %in% c(19)' if you want ggplot(aes(year, height, color = sex)) + geom_line() + facet_wrap(~age_group, ncol = 1) this assumes your data looks like this: year | age_group | sex | height 2015 | 16 | Female | 150 etc
