In this vignette we use twfy
to take a look at
the MP for Keighley, West Yorkshire.
We can get its detailed by name or by any postcode
Who is the current MP? This time we’ll use the postcode lookup
Keighley’s MP is
## [1] "John Grogan"
He’s a member of the Labour Party
## [1] "Labour"
and since we’re in England he’s in the House of Commons, represented as 1.
## [1] "1"
We can find him with two identifiers, the identifier for his current term in office
## [1] "41872"
but more lastingly by his person id
## [1] "10248"
With person_id
we can get the details of all of his
spells in the House of Commons like this
Now, what’s he been talking about in Parliamentary debates?
Debate results are fairly structured objects
## [1] "info" "searchdescription" "rows"
## [1] "s" "results_per_page" "page"
## [4] "first_result" "total_results" "spelling_correction"
the output is paged, so there are
## [1] 519
entries, of which we are seeing from
## [1] 20
counting from
## [1] 1
to get the second page, we’d call getDebates
again
specifying page=2
.
Let’s take a look at the first recorded entry
## [1] "2010-04-08"
clarifying an important issue
## [1] "<p pid=\"b.1177.6/1\">Will the Secretary of State say a few words about the impact of the proposed level of feed-in tariffs on the development of anaerobic digestion plants such as the proposed Selby renewable energy plant, which is set to power 10,000 homes in the town?</p>"
The speaker
field embeds a data.frame with the speaker’s
details, from which we note that he was not representing Keighley at
that time but rather
## [1] "Selby"