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Convert CSV to RDF (stored in EDN format)
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(defn load-house-sales | |
"Loads CSV property sales data from given path, extracts | |
set of columns and transforms column values. | |
Returns seq of maps, one per CSV row/record." | |
[path] | |
(mapped-csv | |
path | |
;; CSV column fields to extract | |
#{"transaction_id" "price" "date_processed" | |
"post_code" "property_type" "borough_code"} | |
;; CSV column transformers | |
{:transaction_id #(subs % 1 (dec (count %))) | |
:price #(f/parse-int % 10) | |
:date_processed #(.parse df %)})) | |
(defn sale->triples | |
"Takes a single sales transaction record and returns | |
seq of triples, using transaction UUID as common subject." | |
[sale] | |
(ff/map->facts | |
{(:transaction_id sale) {"rdf:type" "schema:SellAction" | |
"schema:price" (:price sale) | |
"schema:priceCurrency" "GBP" | |
"schema:postalCode" (:post_code sale) | |
"schema:purchaseDate" (:date_processed sale) | |
"ws:onsID" (:borough_code sale) | |
"ws:propertyType" (:property_type sale)}})) | |
;; complete transformation pipeline | |
;; includes sampling step (only keep every 10th record) to save time | |
(->> "data/london-sales-2013-2014.csv" | |
(io/resource) | |
(load-house-sales) | |
(take-nth 10) | |
(write-triples-edn "data/sales-2013.edn")) |
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