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  1. Day 22/100 finding top 10 flights in flights dataset: ```{r} library(dplyr) top_dest <- flights %>% count(dest, sort = TRUE) %>% head(10) ```

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  2. Day 21/100 how to add columns to a table? ```{r} library(tibble) add_column(mtcars, new = 1:32) ```

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  3. Day 20/100 how to add rows to a table? ```{r} library(dplyr) add_row(faithful, eruptions = 1, waiting = 1) ```

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  4. Day 19/100 how to select rows by position? ```{r} library(dplyr) slice(iris, 10:15) ```

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  5. proslijedio/la je Tweet
    20. lip 2018.

    You can call any R operator as a function. For example x + y can be written as `+`(x, y)

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  6. proslijedio/la je Tweet
    1. velj

    3 months of formal training on data analysis with R for the first time at . This is to contribute to the development of a data-oriented society where people value and use data.

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  7. Day 18/100 Select and order top n entries (by the group if grouped data) ```{r} library(dplyr) top_n(iris, 5, Sepal.Width) ```

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  8. proslijedio/la je Tweet

    let's start a in . I am going to share R-tips every day for a hundred days. let's do it!

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  9. Day 17/100 working with stringr: ```{r} library(stringr) str_to_lower(sentences) str_to_upper(sentences) str_to_title(sentences) ```

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  10. Day 16/100 working with dplyr: ```{r} library(dplyr) is_whole <- function(x) all(floor(x) == x) rename_if(mtcars, is_whole, toupper) rename_at(mtcars, vars(-(1:3)), toupper) rename_all(mtcars, toupper) ```

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  11. Day 15/100 building functions: ```{r} square <- function(x){ squared <- x*x return(squared) } square(2) ```

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  12. Day 14/100 changing positions of variables in the dataset: ```{r} select(iris, Species, everything()) select(iris, -Sepal.Length, Sepal.Length) ```

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  13. Day 13/100 As Fridays are off in Afghanistan, I listened to incredible😮 music, watched a Pakistani movie 😍🥰, and an Iranian film Now forward to learning week ahead😇😃

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  14. Day 12/100 You can optionally provide a weight variable. For example, you could use this to "count" (sum) the total number of miles a plane flew: ```{r} library(dplyr) library(nycflights13) flights %>% count(tailnum, wt = distance) ```

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  15. proslijedio/la je Tweet
    21. sij

    I prepared 240 slides of training material for you all, incl. detailed speaker notes, in case you want to teach Datawrapper – or learn how to use it! (Thanks, , for going through all of them and correcting them. You saved me a lot of work.)

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  16. Day 11/100 position types in ggplot: 4. position = jitter ```{r} library(ggplot2) ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y =hwy), position= "jitter") ```

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  17. Day 10/100 position types in ggplot: 3. position = dodge ```{r} library(ggplot2) ggplot(data =diamonds) + geom_bar(mapping = aes(x = cut, fill = clarity), position = "dodge") ```

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  18. Day 9/100 position types in ggplot: 2. position = fill ```{r} library(ggplot2) ggplot(data = diamonds) + geom_bar( mapping = aes(x= cut, fill= clarity), position = "fill") ```

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  19. Day 8/100 Positions types in ggplot" 1. position = identity ```{r} library(ggplot2) ggplot( data = diamonds, mapping = aes(x = cut,color = clarity) )+ geom_bar(fill= NA, position= "identity") ```

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  20. R training for the first time in Afghanistan.

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