Data Literacy Training - case of CA Election 70

Hands-on Training

Data – what and how?
A case of CA Election 70

YoungInnovations
OpenNepal

Data → Story
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Find data

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Wrangle/Cleanup the data

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Merge data with others (if any)

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Filter and sort the data

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Analyze data

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Visualize data (story)

CA Election 2070
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What is data?
–

The candidates (age, gender, party)

–

The constituencies (vdc, ward, party)

–

The results (with votes, winner)

–

…..

Where to find it?
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http://election.gov.np

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The following FPTP results data in XML

Not lucky every time finding data
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Scrapping (requires programming knowledge)
–

Using google scraper

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PDF conversion

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PDF manual transcribe

Chrome Scraper Extension
●

Search for “Chrome extension Scraper” from
Chrome browser to install

PDF to Text
●

Online tools available

●

Linux has different set of utilities

●

PDF is still a big nuisance (though something is
better than nothing)

PDF to Text
http://www.election.gov.np/election/uploads/fil
es/ecn_report/constwisecandidatecount.pdf

PDF to Text
●

Linux utility - pdftotext

CSV
●
●

●

CSV - Comma Separated Value
Opens in MS Excel, Open Office, Google
Spreadsheet
Easy to work with

XML to CSV?
●

Online services are available

●

Might need help from technologist

●

In linux (there might be several ways, e.g)
xml2 < FPTP-CA70.xml | 2csv FPTP
DISTNAME CONST CANDIDATE AGE SEX
PARTYNAME SYMBOLNAME TOTALVOTE
STATUS > FPTP-CA70.csv

OpenNepal
●

Repository of datasets
–

●
●

●

data in csv, xml or json format

Request for dataset
Request for help in conversion from one format
to another, scrapping data, ...
OpenNepal Community (GoogleGroup) is very
vibrant

CA Results CSV data
●

Converted from XML

http://dev.yipl.com.np/data-training/data/FPTP-CA70.csv

Processing/Cleaning CSV – Basics
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Add header

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Sorting (by different fields)

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Filter

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Simple formulas

Add headers
●

Insert row at the top

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Add header for each column

Sorting
●

Sorting by Age – Ascending, Descending

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Find out youngest winning candidate age

Filtering
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Filter the list of winning female candidates

Some exercise
●

●

●

●

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Are there people who didn't receive a single vote?
What is the highest and lowest number of votes of
candidate who didn't win?
Find the percentage of female and male
candidates, percentage of winning female
candidates?
Try the above exercise in one district of your
interest?
Think of other things you can do with this basic
skills

More questions
●

●

●

How many parties have candidates in all 240
constituencies?
How many male and female candidates are
there in Nepali Congress? Ratio of male-female
in far-west districts?
Which party has the highest number of female
candidates?

PivotTable - more
●

Breakdown of
independent
candidates

Lets again see numbers
●

Sorted by total
number of
candidates

Visualization
●

Bar graph of male-female candidates of top few
districts

What else visualizations are
possible?
●

https://github.com/mbostock/d3/wiki/Gallery

Geocoding
●

Geo-coding
–

–

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the conversion of a human-readable location name
into a numeric (or other machine-processable)
location such as a longitude and latitude
Kathmandu => [geocoding] => {latitude: 27.70169,
longitude: 85.3206}

Online tools available for geocoding
–

Google fusion table

–

cartodb

Lat-long in maps.google.com
●

Put the lat long (27.70169 85.3206) in google
map search box

Services available for geocoding
http://open.mapquestapi.com/nominatim/v1/sea
rch?format=xml&q=Kathmandu,Nepal

Problems with this CSV
●

Unicode in districts name

●

Can't geocode (currently only english)

Adding english district name

http://dev.yipl.com.np/data-training/data/FPTP-CA70-eng.csv

Google Fusion Table
●

tables.googlelabs.com (need @gmail account)

Data Literacy Training - case of CA Election 70

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