+++ /dev/null
-### COVID-19 Digital Observatory
-### 2020-03-28
-###
-### Minimal example analysis file using trending search data
-
-### Import and cleanup data
-
-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,
- head, 5)
-
-## Might cleanup a bit for further analysis or visualization...
-top5.per.term.date$date <- as.Date(top5.per.term.date$date)
-
-### Export
-write.table(top5.per.term.date,
- file="output/top5_queries_per_term_per_date.csv", sep=",",
- row.names=FALSE)
-