--- /dev/null
+"term","date","query.1","query.2","query.3","query.4","query.5"
+"coronavirus","2020-03-27",coronavirus update,corona,coronavirus symptoms,news coronavirus,coronavirus cases
+"covid-19","2020-03-27",covid-19 coronavirus,coronavirus,covid,covid-19 cases,covid 19
+"covid-19 pandemic","2020-03-27",coronavirus,covid-19 coronavirus pandemic,coronavirus pandemic,who,is covid-19 a pandemic
+"covid19","2020-03-27",covid,covid 19,coronavirus covid19,coronavirus,covid19 cases
+"sars-cov-2","2020-03-27",coronavirus,coronavirus sars-cov-2,covid-19,covid-19 sars-cov-2,sars
--- /dev/null
+### 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)
+