tidyr from long to wide

#> 3 13 13 13 8 7.58 8.74 12.74 7.71 #> 3 Doo… Loser 2000-10-21 76 76 72 69 67 65 55 59 Example #1: Reshaping data long to wide. #> 98^0 Give… 2000-08-19 51 39 34 26 26 19 2 2 In this post, we will be looking at how to pivot data from long to wide form using Python’s pandas library and R’s stats, tidyr and data.table libraries and how they match up. I did write more annotations on the Python code as I am still learning about the language and while its been pretty easy to pick up, I still need to work through the steps. from the data stored in the column names of Can be a character vector, creating multiple columns, if A regular expression used to remove matching text The default, A string specifying the name of the column to create #> Other C… 9 7 11 13 13 14 18 #> 6 14 14 14 8 9.96 8.10 8.84 7.04 This module illustrates the power and simplicity of Stata in its ability to reshape data files. #> Atheist 12 27 37 52 35 70 73 #> 2 Pac Baby Don't Cry (Keep... 2000-02-26 6 94 Reshape in R – reshape(), is one of the efficient function to transform the data. #> Other F… 20 33 40 46 49 63 46 names_to: A string specifying the name of the column to create from the data stored in the column names of data.. Can be a character vector, creating multiple columns, if names_sep or names_pattern is provided. #> 2 Pac Baby Don't Cry (Keep... 2000-02-26 3 72 A string specifying the name of the column to create #> 2 Pac Baby… 2000-02-26 87 82 72 77 87 94 99 3 Doo… Kryp… 2000-04-08 81 70 68 67 66 57 54 53 #> Aaliy… Try … 2000-03-18 59 53 38 28 21 18 16 14 Use these arguments if you need to change the type of specific columns. How to reshape a dataframe from wide to long or long to wide format using tidyr - pivot_longer() pivot_wider() AbdulMajedRaja RS 01 Aug 2019. spreadsheet / excel / reshape / r-bloggers. #> # Slightly more complex case where columns have common prefix,# and missing missings are structural so should be dropped. View source: R/pivot-wide.R. #> Reshaping data from wide (fat) to long (tall): tidyr long %>% count(var) # A tibble: 12 x 2 var n 1 bannerAlightings 1146 2 bannerAverage 1146 3 bannerBoardings 1146 4 greenAlightings 1146 5 greenAverage 1146 6 greenBoardings 1146 7 orangeAlightings 1146 8 orangeAverage 1146 9 orangeBoardings 1146 10 purpleAlightings 1146 11 purpleAverage 1146 12 purpleBoardings 1146 Lab … #> 1 10 10 10 8 8.04 9.14 7.46 6.58 #> 2 Pac Baby Don't Cry (Keep... 2000-02-26 5 87 #> 11 5 5 5 8 5.68 4.74 5.73 6.89# See vignette("pivot") for examples and explanation# Simplest case where column names are character data #> Histori… 228 244 236 238 197 223 131 data: A data frame to pivot. #> Hindu 1 9 7 9 11 34 47 #> Jehovah… 20 27 24 24 21 30 15 #> In this case, there are two special values you can take advantage of: #> 2 Pac Baby Don't Cry (Keep... 2000-02-26 1 87 #> Buddhist 27 21 30 34 33 58 62 Reshape function in R transforms the data from wide to long and also transforms back the data from long to wide. #> 2 Pac Baby Don't Cry (Keep... 2000-02-26 4 77 In hadley/tidyr: Tidy Messy Data. #> 8 4 4 4 19 4.26 3.10 5.39 12.50 #> 2Ge+her The Hardest Part Of ... 2000-09-02 3 92 #> religion `<$10k` `$10-20k` `$20-30k` `$30-40k` `$40-50k` `$50-75k` `$75-100k` #> Orthodox 13 17 23 32 32 47 38 Understand the concept of a wide and a long table format and for which purpose those formats are useful.

Reshape a data frame from long to wide format and back with the pivot_wider and pivot_longer commands from the tidyr package.

cols Columns to pivot into longer format. A prototype (or ptype for short) is a zero-length vector (like If not specified, the type of the columns generated from A list of column name-function pairs. #> artist track date.entered week rank These show common examples of reshaping data but do not exhaustively demonstrate the different kinds of data reshaping that you could encounter. Wide to long using gather() function in R using tidyr package: gather() function of tidyr package in R. gets the table name and the list of columns (population_in_million:gdp_percapita) to be reshaped from wide to long as shown below.

#> Jewish 19 19 25 25 30 95 69 Reshaping data long to wide. #> country iso2 iso3 year diagnosis gender age count #> Catholic 418 617 732 670 638 Don’t k… 15 14 15 11 10 35 21 #> Other W… 5 2 3 4 2 7 3

from the data stored in cell values. For example, What happens if the output has invalid column names? These examples take long data files and reshape them into wide form. The inverse transformation is pivot_longer(). If #> x1 x2 x3 x4 y1 y2 y3 y4 #> A*Tee… Danc… 2000-07-08 97 97 96 95 100 Aaliy… I Do… 2000-01-29 84 62 51 41 38 35 35 38

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