Merge pull request #1 from codeclan/add-steph-datasets

Add steph datasets

Author: jowatts

.DS_Store

@@ -513,3 +513,76 @@ NULL
 #' @format A data frame
 "iq_scores"
 
+#' school_census
+#'
+#' A New Zealand school census
+#' https://new.censusatschool.org.nz/about/
+#'
+#' @format A data frame
+"school_census"
+
+#' all_deaths
+#'
+#' Game of Thrones Deaths
+#' https://www.kaggle.com/mylesoneill/game-of-thrones#character-deaths.csv
+#'
+#' @format A data frame
+"all_deaths"
+
+#' drinks_content
+#'
+#' Starbuck calorie dataset
+#' https://www.kaggle.com/starbucks/starbucks-menu
+#'
+#' @format A data frame
+"drinks_content"
+
+#' hospital_visits
+#'
+#' Reasons people were admitted to hospital between 1993 and 1998.
+#' Purposely messy dataset
+#'
+#' @format A data frame
+"hospital_visits"
+
+#' JNJ_stock_price
+#'
+#' JNJ stock prices
+#'
+#'
+#' @format A data frame
+"JNJ_stock_price"
+
+#' IBM_stock_price
+#'
+#' IBM stock prices
+#'
+#'
+#' @format A data frame
+"IBM_stock_price"
+
+#' refunds
+#'
+#' Refunds for Brazils House of Deputies
+#' https://www.kaggle.com/epattaro/brazils-house-of-deputies-reimbursements
+#'
+#' @format A data frame
+"refunds"
+
+#' comms_data
+#'
+#' Telecom Data
+#'
+#'
+#' @format A data frame
+"comms_data"
+
+#' women_in_gov
+#'
+#' Women in Parliament
+#' https://data.worldbank.org/indicator/SG.GEN.PARL.ZS
+#'
+#' @format A data frame
+"women_in_gov"
+
+

R/documentation.R

@@ -0,0 +1 @@
+date,open,high,low,close,volume,adj close,Agents,ID1,ID2,Account12/04/17,171.039993,171.199997,170.020004,170.660004,3276900,170.660004,IB / SK,1,78,IBM11/04/17,170.649994,171.229996,168.979996,170.580002,4890200,170.580002,MA / CB,12,42,IBM10/04/17,172.529999,172.559998,171,171.199997,3715300,171.199997,IB / SK,1,78,IBM07/04/17,172.080002,172.929993,171.279999,172.139999,3556000,172.139999,SB / MA,9,12,IBM06/04/17,173.470001,173.470001,172.25,172.449997,3416100,172.449997,SB / CB,9,42,IBM05/04/17,174.699997,176.330002,172.809998,172.880005,6199500,172.880005,IB / SK,1,78,IBM04/04/17,173.520004,174.960007,173.259995,174.520004,3097400,174.520004,SB / MA,9,12,IBM03/04/17,173.820007,174.869995,173.380005,174.5,4271600,174.5,SB / MA,9,12,IBM31/03/17,173.979996,174.949997,173.690002,174.139999,2911200,174.139999,MA / CB,12,42,IBM30/03/17,173.860001,174.589996,173.690002,173.860001,3153000,173.860001,SB / CB,9,42,IBM29/03/17,174.300003,174.490005,173.460007,173.940002,3039600,173.940002,IB/MA,1,12,IBM28/03/17,173.940002,175,173,174.509995,3506300,174.509995,IB/MA,1,12,IBM27/03/17,172.690002,174.160004,172.089996,173.770004,3217700,173.770004,IB / SK,1,78,IBM24/03/17,175.119995,175.5,173.389999,173.830002,3178900,173.830002,SB / CB,9,42,IBM23/03/17,174.429993,175.669998,173.559998,174.820007,3615400,174.820007,SB / MA,9,12,IBM22/03/17,174.039993,175.059998,172.800003,174.779999,3426800,174.779999,MA / CB,12,42,IBM21/03/17,176.009995,176.229996,173.839996,173.880005,3883700,173.880005,IB/MA,1,12,IBM20/03/17,175.649994,176.179993,175.139999,175.699997,2334400,175.699997,SB / CB,9,42,IBM17/03/17,176.289993,176.789993,175.649994,175.649994,5843800,175.649994,IB / SK,1,78,IBM16/03/17,178.460007,179,176.820007,177.240005,4263800,177.240005,IB / SK,1,78,IBM15/03/17,175.710007,176.279999,174.75,175.809998,3695200,175.809998,SB / MA,9,12,IBM14/03/17,176.179993,176.820007,175.210007,175.720001,3144300,175.720001,IB/MA,1,12,IBM13/03/17,177.850006,178.059998,176.419998,176.460007,3428900,176.460007,SB / MA,9,12,IBM

data-raw/data/IBM.csv

@@ -0,0 +1 @@
+12/04/17,11/04/17,10/04/17,07/04/17,06/04/17,05/04/17,04/04/17,03/04/17,31/03/17,30/03/17,29/03/17,28/03/17,27/03/17,24/03/17,23/03/17,22/03/17,21/03/17,20/03/17,17/03/17,16/03/17,15/03/17,14/03/17,13/03/17124.540001,124.260002,124.870003,125.120003,124.849998,124.720001,124.510002,124.730003,124.110001,124.739998,125.050003,125.620003,125.160004,125.860001,126.099998,127.050003,128.380005,128.039993,128.449997,128.440002,127.050003,126.860001,125.830002