README.md
In edouardschuppert/edouaRd: edouaRd
edouaRd
This is a package of practical things I use every day. Thus, it is not
really community oriented.
edouaRd can be installed from Github :
# install.packages("devtools")
devtools::install_github("edouardschuppert/edouaRd")
povertext
povertext deplete your text, it deletes any accents or umlaut.
library(edouaRd, quietly = TRUE)
povertext(c("Père Noël", "Où êtes-vous ?"))
## [1] "pere noel" "ou etes-vous ?"
wordfrequency, bigramfrequency & hashtagfrequency
wordfrequency splits character strings into words and classifies them,
so you know which ones are the most used. bigramfrequency does the
same thing, but with bigrams. hashtagfrequency does the same thing,
but with the hashtags. The possibility is offered to keep only part of
this data.
suppressPackageStartupMessages(library(tidyverse))
edouaRd::rstats %>%
wordfrequency(text)
## # A tibble: 3,275 x 2
## words n
## <chr> <int>
## 1 rstats 2038
## 2 datascience 600
## 3 python 514
## 4 bigdata 448
## 5 analytics 421
## 6 javascript 401
## 7 reactjs 389
## 8 vuejs 389
## 9 golang 385
## 10 serverless 382
## # … with 3,265 more rows
edouaRd::rstats %>%
hashtagfrequency(text, slice = 30, original = TRUE)
## # A tibble: 30 x 2
## hashtags n
## <chr> <int>
## 1 #rstats 2038
## 2 #DataScience 600
## 3 #Python 462
## 4 #BigData 448
## 5 #Analytics 413
## 6 #JavaScript 391
## 7 #ReactJS 389
## 8 #VueJS 389
## 9 #GoLang 385
## 10 #Serverless 382
## # … with 20 more rows
edouaRd::rstats %>%
bigramfrequency(text, slice = 50)
## # A tibble: 50 x 2
## bigram n
## <chr> <int>
## 1 python rstats 410
## 2 reactjs vuejs 389
## 3 javascript reactjs 381
## 4 vuejs golang 378
## 5 bigdata analytics 374
## 6 java javascript 341
## 7 rstats tensorflow 339
## 8 datascience ai 307
## 9 cloudcomputing serverless 300
## 10 tensorflow java 281
## # … with 40 more rows
datetimes_fr & dates_fr
datetimes_fr turn your datetimes into a french format. dates_fr does
the same thing, with only the dates. Please note that this is NOT a
useful format to work with R. This function can only be used with a
purpose of report, in order to have a very understandable format.
Sys.time()
## [1] "2021-06-07 09:45:51 CEST"
datetimes_fr(Sys.time())
## [1] "07/06/2021 07:45:51"
dates_fr(Sys.time())
## [1] "07/06/2021"
distribution_time
distribution_time is used to check the temporal distribution of a
dataset.
edouaRd::rstats %>%
distribution_time(created_at, granularity = "hour")
## # A tibble: 22 x 2
## created_at n
## <dttm> <int>
## 1 2018-07-11 12:00:00 50
## 2 2018-07-11 13:00:00 157
## 3 2018-07-11 14:00:00 97
## 4 2018-07-11 15:00:00 104
## 5 2018-07-11 16:00:00 100
## 6 2018-07-11 17:00:00 62
## 7 2018-07-11 18:00:00 82
## 8 2018-07-11 19:00:00 98
## 9 2018-07-11 20:00:00 69
## 10 2018-07-11 21:00:00 107
## # … with 12 more rows
With the draw argument, this distribution can be expressed more
visually.
edouaRd::rstats %>%
distribution_time(created_at, granularity = "hour", draw = TRUE)
rm_empty_cols
rm_empty_cols allows to delete the columns of an array containing only
NAs.
edouaRd::rstats
## # A tibble: 2,000 x 88
## user_id status_id created_at screen_name text source
## * <chr> <chr> <dttm> <chr> <chr> <chr>
## 1 2865404… 1017339607… 2018-07-12 09:27:18 ma_salmon "Great to see … Twitte…
## 2 2865404… 1017109552… 2018-07-11 18:13:08 ma_salmon "The #useR2018… Twitte…
## 3 2865404… 1017270770… 2018-07-12 04:53:46 ma_salmon "aaaand the li… Twitte…
## 4 2865404… 1017264158… 2018-07-12 04:27:29 ma_salmon "This is a gre… Twitte…
## 5 2865404… 1017044420… 2018-07-11 13:54:20 ma_salmon "Slides, code,… Twitte…
## 6 2865404… 1017318711… 2018-07-12 08:04:16 ma_salmon "Glue strings … Twitte…
## 7 2865404… 1017267064… 2018-07-12 04:39:02 ma_salmon "super useful … Twitte…
## 8 2865404… 1017093772… 2018-07-11 17:10:26 ma_salmon "And you can m… Twitte…
## 9 29460483 1017338807… 2018-07-12 09:24:07 EuropePMC_n… "Great to see … TweetD…
## 10 1702037… 1017338790… 2018-07-12 09:24:03 WoodChivalry "Great to see … Twitte…
## # … with 1,990 more rows, and 82 more variables: display_text_width <dbl>,
## # reply_to_status_id <chr>, reply_to_user_id <chr>,
## # reply_to_screen_name <chr>, is_quote <lgl>, is_retweet <lgl>,
## # favorite_count <int>, retweet_count <int>, hashtags <list>, symbols <list>,
## # urls_url <list>, urls_t.co <list>, urls_expanded_url <list>,
## # media_url <list>, media_t.co <list>, media_expanded_url <list>,
## # media_type <list>, ext_media_url <list>, ext_media_t.co <list>,
## # ext_media_expanded_url <list>, ext_media_type <chr>,
## # mentions_user_id <list>, mentions_screen_name <list>, lang <chr>,
## # quoted_status_id <chr>, quoted_text <chr>, quoted_created_at <dttm>,
## # quoted_source <chr>, quoted_favorite_count <int>,
## # quoted_retweet_count <int>, quoted_user_id <chr>, quoted_screen_name <chr>,
## # quoted_name <chr>, quoted_followers_count <int>,
## # quoted_friends_count <int>, quoted_statuses_count <int>,
## # quoted_location <chr>, quoted_description <chr>, quoted_verified <lgl>,
## # retweet_status_id <chr>, retweet_text <chr>, retweet_created_at <dttm>,
## # retweet_source <chr>, retweet_favorite_count <int>,
## # retweet_retweet_count <int>, retweet_user_id <chr>,
## # retweet_screen_name <chr>, retweet_name <chr>,
## # retweet_followers_count <int>, retweet_friends_count <int>,
## # retweet_statuses_count <int>, retweet_location <chr>,
## # retweet_description <chr>, retweet_verified <lgl>, place_url <chr>,
## # place_name <chr>, place_full_name <chr>, place_type <chr>, country <chr>,
## # country_code <chr>, geo_coords <list>, coords_coords <list>,
## # bbox_coords <list>, status_url <chr>, name <chr>, location <chr>,
## # description <chr>, url <chr>, protected <lgl>, followers_count <int>,
## # friends_count <int>, listed_count <int>, statuses_count <int>,
## # favourites_count <int>, account_created_at <dttm>, verified <lgl>,
## # profile_url <chr>, profile_expanded_url <chr>, account_lang <chr>,
## # profile_banner_url <chr>, profile_background_url <chr>,
## # profile_image_url <chr>
rm_empty_cols(edouaRd::rstats)
## # A tibble: 2,000 x 86
## user_id status_id created_at screen_name text source
## <chr> <chr> <dttm> <chr> <chr> <chr>
## 1 2865404… 1017339607… 2018-07-12 09:27:18 ma_salmon "Great to see … Twitte…
## 2 2865404… 1017109552… 2018-07-11 18:13:08 ma_salmon "The #useR2018… Twitte…
## 3 2865404… 1017270770… 2018-07-12 04:53:46 ma_salmon "aaaand the li… Twitte…
## 4 2865404… 1017264158… 2018-07-12 04:27:29 ma_salmon "This is a gre… Twitte…
## 5 2865404… 1017044420… 2018-07-11 13:54:20 ma_salmon "Slides, code,… Twitte…
## 6 2865404… 1017318711… 2018-07-12 08:04:16 ma_salmon "Glue strings … Twitte…
## 7 2865404… 1017267064… 2018-07-12 04:39:02 ma_salmon "super useful … Twitte…
## 8 2865404… 1017093772… 2018-07-11 17:10:26 ma_salmon "And you can m… Twitte…
## 9 29460483 1017338807… 2018-07-12 09:24:07 EuropePMC_n… "Great to see … TweetD…
## 10 1702037… 1017338790… 2018-07-12 09:24:03 WoodChivalry "Great to see … Twitte…
## # … with 1,990 more rows, and 80 more variables: display_text_width <dbl>,
## # reply_to_status_id <chr>, reply_to_user_id <chr>,
## # reply_to_screen_name <chr>, is_quote <lgl>, is_retweet <lgl>,
## # favorite_count <int>, retweet_count <int>, hashtags <list>,
## # urls_url <list>, urls_t.co <list>, urls_expanded_url <list>,
## # media_url <list>, media_t.co <list>, media_expanded_url <list>,
## # media_type <list>, ext_media_url <list>, ext_media_t.co <list>,
## # ext_media_expanded_url <list>, mentions_user_id <list>,
## # mentions_screen_name <list>, lang <chr>, quoted_status_id <chr>,
## # quoted_text <chr>, quoted_created_at <dttm>, quoted_source <chr>,
## # quoted_favorite_count <int>, quoted_retweet_count <int>,
## # quoted_user_id <chr>, quoted_screen_name <chr>, quoted_name <chr>,
## # quoted_followers_count <int>, quoted_friends_count <int>,
## # quoted_statuses_count <int>, quoted_location <chr>,
## # quoted_description <chr>, quoted_verified <lgl>, retweet_status_id <chr>,
## # retweet_text <chr>, retweet_created_at <dttm>, retweet_source <chr>,
## # retweet_favorite_count <int>, retweet_retweet_count <int>,
## # retweet_user_id <chr>, retweet_screen_name <chr>, retweet_name <chr>,
## # retweet_followers_count <int>, retweet_friends_count <int>,
## # retweet_statuses_count <int>, retweet_location <chr>,
## # retweet_description <chr>, retweet_verified <lgl>, place_url <chr>,
## # place_name <chr>, place_full_name <chr>, place_type <chr>, country <chr>,
## # country_code <chr>, geo_coords <list>, coords_coords <list>,
## # bbox_coords <list>, status_url <chr>, name <chr>, location <chr>,
## # description <chr>, url <chr>, protected <lgl>, followers_count <int>,
## # friends_count <int>, listed_count <int>, statuses_count <int>,
## # favourites_count <int>, account_created_at <dttm>, verified <lgl>,
## # profile_url <chr>, profile_expanded_url <chr>, account_lang <chr>,
## # profile_banner_url <chr>, profile_background_url <chr>,
## # profile_image_url <chr>
Please report issues and suggestions to the issues
tracker.
edouardschuppert/edouaRd documentation built on June 12, 2021, 2:22 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
edouaRd
This is a package of practical things I use every day. Thus, it is not really community oriented.
edouaRd can be installed from Github :
# install.packages("devtools")
devtools::install_github("edouardschuppert/edouaRd")
povertext
povertext deplete your text, it deletes any accents or umlaut.
library(edouaRd, quietly = TRUE)
povertext(c("Père Noël", "Où êtes-vous ?"))
## [1] "pere noel" "ou etes-vous ?"
wordfrequency, bigramfrequency & hashtagfrequency
wordfrequency splits character strings into words and classifies them,
so you know which ones are the most used. bigramfrequency does the
same thing, but with bigrams. hashtagfrequency does the same thing,
but with the hashtags. The possibility is offered to keep only part of
this data.
suppressPackageStartupMessages(library(tidyverse))
edouaRd::rstats %>%
wordfrequency(text)
## # A tibble: 3,275 x 2
## words n
## <chr> <int>
## 1 rstats 2038
## 2 datascience 600
## 3 python 514
## 4 bigdata 448
## 5 analytics 421
## 6 javascript 401
## 7 reactjs 389
## 8 vuejs 389
## 9 golang 385
## 10 serverless 382
## # … with 3,265 more rows
edouaRd::rstats %>%
hashtagfrequency(text, slice = 30, original = TRUE)
## # A tibble: 30 x 2
## hashtags n
## <chr> <int>
## 1 #rstats 2038
## 2 #DataScience 600
## 3 #Python 462
## 4 #BigData 448
## 5 #Analytics 413
## 6 #JavaScript 391
## 7 #ReactJS 389
## 8 #VueJS 389
## 9 #GoLang 385
## 10 #Serverless 382
## # … with 20 more rows
edouaRd::rstats %>%
bigramfrequency(text, slice = 50)
## # A tibble: 50 x 2
## bigram n
## <chr> <int>
## 1 python rstats 410
## 2 reactjs vuejs 389
## 3 javascript reactjs 381
## 4 vuejs golang 378
## 5 bigdata analytics 374
## 6 java javascript 341
## 7 rstats tensorflow 339
## 8 datascience ai 307
## 9 cloudcomputing serverless 300
## 10 tensorflow java 281
## # … with 40 more rows
datetimes_fr & dates_fr
datetimes_fr turn your datetimes into a french format. dates_fr does
the same thing, with only the dates. Please note that this is NOT a
useful format to work with R. This function can only be used with a
purpose of report, in order to have a very understandable format.
Sys.time()
## [1] "2021-06-07 09:45:51 CEST"
datetimes_fr(Sys.time())
## [1] "07/06/2021 07:45:51"
dates_fr(Sys.time())
## [1] "07/06/2021"
distribution_time
distribution_time is used to check the temporal distribution of a
dataset.
edouaRd::rstats %>%
distribution_time(created_at, granularity = "hour")
## # A tibble: 22 x 2
## created_at n
## <dttm> <int>
## 1 2018-07-11 12:00:00 50
## 2 2018-07-11 13:00:00 157
## 3 2018-07-11 14:00:00 97
## 4 2018-07-11 15:00:00 104
## 5 2018-07-11 16:00:00 100
## 6 2018-07-11 17:00:00 62
## 7 2018-07-11 18:00:00 82
## 8 2018-07-11 19:00:00 98
## 9 2018-07-11 20:00:00 69
## 10 2018-07-11 21:00:00 107
## # … with 12 more rows
With the draw argument, this distribution can be expressed more
visually.
edouaRd::rstats %>%
distribution_time(created_at, granularity = "hour", draw = TRUE)
rm_empty_cols
rm_empty_cols allows to delete the columns of an array containing only
NAs.
edouaRd::rstats
## # A tibble: 2,000 x 88
## user_id status_id created_at screen_name text source
## * <chr> <chr> <dttm> <chr> <chr> <chr>
## 1 2865404… 1017339607… 2018-07-12 09:27:18 ma_salmon "Great to see … Twitte…
## 2 2865404… 1017109552… 2018-07-11 18:13:08 ma_salmon "The #useR2018… Twitte…
## 3 2865404… 1017270770… 2018-07-12 04:53:46 ma_salmon "aaaand the li… Twitte…
## 4 2865404… 1017264158… 2018-07-12 04:27:29 ma_salmon "This is a gre… Twitte…
## 5 2865404… 1017044420… 2018-07-11 13:54:20 ma_salmon "Slides, code,… Twitte…
## 6 2865404… 1017318711… 2018-07-12 08:04:16 ma_salmon "Glue strings … Twitte…
## 7 2865404… 1017267064… 2018-07-12 04:39:02 ma_salmon "super useful … Twitte…
## 8 2865404… 1017093772… 2018-07-11 17:10:26 ma_salmon "And you can m… Twitte…
## 9 29460483 1017338807… 2018-07-12 09:24:07 EuropePMC_n… "Great to see … TweetD…
## 10 1702037… 1017338790… 2018-07-12 09:24:03 WoodChivalry "Great to see … Twitte…
## # … with 1,990 more rows, and 82 more variables: display_text_width <dbl>,
## # reply_to_status_id <chr>, reply_to_user_id <chr>,
## # reply_to_screen_name <chr>, is_quote <lgl>, is_retweet <lgl>,
## # favorite_count <int>, retweet_count <int>, hashtags <list>, symbols <list>,
## # urls_url <list>, urls_t.co <list>, urls_expanded_url <list>,
## # media_url <list>, media_t.co <list>, media_expanded_url <list>,
## # media_type <list>, ext_media_url <list>, ext_media_t.co <list>,
## # ext_media_expanded_url <list>, ext_media_type <chr>,
## # mentions_user_id <list>, mentions_screen_name <list>, lang <chr>,
## # quoted_status_id <chr>, quoted_text <chr>, quoted_created_at <dttm>,
## # quoted_source <chr>, quoted_favorite_count <int>,
## # quoted_retweet_count <int>, quoted_user_id <chr>, quoted_screen_name <chr>,
## # quoted_name <chr>, quoted_followers_count <int>,
## # quoted_friends_count <int>, quoted_statuses_count <int>,
## # quoted_location <chr>, quoted_description <chr>, quoted_verified <lgl>,
## # retweet_status_id <chr>, retweet_text <chr>, retweet_created_at <dttm>,
## # retweet_source <chr>, retweet_favorite_count <int>,
## # retweet_retweet_count <int>, retweet_user_id <chr>,
## # retweet_screen_name <chr>, retweet_name <chr>,
## # retweet_followers_count <int>, retweet_friends_count <int>,
## # retweet_statuses_count <int>, retweet_location <chr>,
## # retweet_description <chr>, retweet_verified <lgl>, place_url <chr>,
## # place_name <chr>, place_full_name <chr>, place_type <chr>, country <chr>,
## # country_code <chr>, geo_coords <list>, coords_coords <list>,
## # bbox_coords <list>, status_url <chr>, name <chr>, location <chr>,
## # description <chr>, url <chr>, protected <lgl>, followers_count <int>,
## # friends_count <int>, listed_count <int>, statuses_count <int>,
## # favourites_count <int>, account_created_at <dttm>, verified <lgl>,
## # profile_url <chr>, profile_expanded_url <chr>, account_lang <chr>,
## # profile_banner_url <chr>, profile_background_url <chr>,
## # profile_image_url <chr>
rm_empty_cols(edouaRd::rstats)
## # A tibble: 2,000 x 86
## user_id status_id created_at screen_name text source
## <chr> <chr> <dttm> <chr> <chr> <chr>
## 1 2865404… 1017339607… 2018-07-12 09:27:18 ma_salmon "Great to see … Twitte…
## 2 2865404… 1017109552… 2018-07-11 18:13:08 ma_salmon "The #useR2018… Twitte…
## 3 2865404… 1017270770… 2018-07-12 04:53:46 ma_salmon "aaaand the li… Twitte…
## 4 2865404… 1017264158… 2018-07-12 04:27:29 ma_salmon "This is a gre… Twitte…
## 5 2865404… 1017044420… 2018-07-11 13:54:20 ma_salmon "Slides, code,… Twitte…
## 6 2865404… 1017318711… 2018-07-12 08:04:16 ma_salmon "Glue strings … Twitte…
## 7 2865404… 1017267064… 2018-07-12 04:39:02 ma_salmon "super useful … Twitte…
## 8 2865404… 1017093772… 2018-07-11 17:10:26 ma_salmon "And you can m… Twitte…
## 9 29460483 1017338807… 2018-07-12 09:24:07 EuropePMC_n… "Great to see … TweetD…
## 10 1702037… 1017338790… 2018-07-12 09:24:03 WoodChivalry "Great to see … Twitte…
## # … with 1,990 more rows, and 80 more variables: display_text_width <dbl>,
## # reply_to_status_id <chr>, reply_to_user_id <chr>,
## # reply_to_screen_name <chr>, is_quote <lgl>, is_retweet <lgl>,
## # favorite_count <int>, retweet_count <int>, hashtags <list>,
## # urls_url <list>, urls_t.co <list>, urls_expanded_url <list>,
## # media_url <list>, media_t.co <list>, media_expanded_url <list>,
## # media_type <list>, ext_media_url <list>, ext_media_t.co <list>,
## # ext_media_expanded_url <list>, mentions_user_id <list>,
## # mentions_screen_name <list>, lang <chr>, quoted_status_id <chr>,
## # quoted_text <chr>, quoted_created_at <dttm>, quoted_source <chr>,
## # quoted_favorite_count <int>, quoted_retweet_count <int>,
## # quoted_user_id <chr>, quoted_screen_name <chr>, quoted_name <chr>,
## # quoted_followers_count <int>, quoted_friends_count <int>,
## # quoted_statuses_count <int>, quoted_location <chr>,
## # quoted_description <chr>, quoted_verified <lgl>, retweet_status_id <chr>,
## # retweet_text <chr>, retweet_created_at <dttm>, retweet_source <chr>,
## # retweet_favorite_count <int>, retweet_retweet_count <int>,
## # retweet_user_id <chr>, retweet_screen_name <chr>, retweet_name <chr>,
## # retweet_followers_count <int>, retweet_friends_count <int>,
## # retweet_statuses_count <int>, retweet_location <chr>,
## # retweet_description <chr>, retweet_verified <lgl>, place_url <chr>,
## # place_name <chr>, place_full_name <chr>, place_type <chr>, country <chr>,
## # country_code <chr>, geo_coords <list>, coords_coords <list>,
## # bbox_coords <list>, status_url <chr>, name <chr>, location <chr>,
## # description <chr>, url <chr>, protected <lgl>, followers_count <int>,
## # friends_count <int>, listed_count <int>, statuses_count <int>,
## # favourites_count <int>, account_created_at <dttm>, verified <lgl>,
## # profile_url <chr>, profile_expanded_url <chr>, account_lang <chr>,
## # profile_banner_url <chr>, profile_background_url <chr>,
## # profile_image_url <chr>
Please report issues and suggestions to the issues tracker.
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