X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/070a1623aadb1f40bd02734d5437e9b6cb58c421..c025a526e8fc1767546343105f52d1698c0c5e14:/transliterations/analysis/related_searches_example.R?ds=sidebyside

diff --git a/transliterations/analysis/related_searches_example.R b/transliterations/analysis/related_searches_example.R
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+### COVID-19 Digital Observatory
+### 2020-03-28
+### 
+### 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=""),
+                           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,
+                                head, 5)
+
+## Might cleanup a bit for further analysis or visualization...
+top5.per.term.date$date <- asDate(top5.per.term.date$date)
+
+### Export
+write.table(top5.per.term.date,
+            file="output/top5_queries_per_term_per_date.csv", sep=",",
+            row.names=FALSE)
+