X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/033149776c8bebf2a566c36d4d4b0d3ab8c9c48f..cb26ecabdac089e379af87bf13835dcf1837d9db:/transliterations/analysis/related_searches_example.R?ds=sidebyside

diff --git a/transliterations/analysis/related_searches_example.R b/transliterations/analysis/related_searches_example.R
index 2576d4a..e1197b6 100644
--- a/transliterations/analysis/related_searches_example.R
+++ b/transliterations/analysis/related_searches_example.R
@@ -3,16 +3,24 @@
 ### 
 ### Minimal example analysis file using trending search data
 
-### Identify data source directory and file
-DataDir <- ("../data/output/")
-DataFile <- ("related_searches_top.csv")
-
 ### Import and cleanup data
-related.searches.top <- read.table(paste(DataDir,DataFile,
-                                 sep=""),
+
+DataURL <-
+    url("https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory/blob/master/transliterations/data/output/related_searches_top.csv")
+
+related.searches.top <- read.table(DataURL,
                            sep=",", header=TRUE,
                            stringsAsFactors=FALSE) 
 
+### Alternatively, uncomment and run if working locally with full git tree
+### Identify data source directory and file
+## DataDir <- ("../data/output/")
+## DataFile <- ("related_searches_top.csv")
+
+## related.searches.top <- read.table(paste(DataDir,DataFile, sep=""),
+##                                   sep=",", header=TRUE,
+##                                   stringsAsFactors=FALSE)
+
 ### Aggregate top 5 search queries by term/day
 top5.per.term.date <- aggregate(query ~ term + date,
                                 data=related.searches.top,