Talk given by me at Gnunify 2014 on Exploratory Data Analysis

1. Exploratory Data Analysis
Aditya Laghate
Twitter: @thinrhino
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2. Who am I?
• A pseudo geek
• Freelance software consultant
• Wildlife photographer
Twitter: @thinrhino
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3. Agenda
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Data gathering
Data cleaning
Usage of classic unix tools
Data analysis
Twitter: @thinrhino
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4. Data Gathering
• Public data websites
o data.gov.in
o databank.worldbank.org
• Social websites
o facebook.com
o twitter.com
• Blogs / websites /etc via scrapping
Twitter: @thinrhino
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5. Data cleaning
• Eg: openrefine
o OpenRefine (ex-Google Refine) is a powerful tool for working with messy
data, cleaning it, transforming it from one format into another, extending it
with web services, and linking it to databases like Freebase
o openrefine.org
Twitter: @thinrhino
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6. Classic Unix Tools
• sed /awk
• Shell scripts
• GNU parallel
o Examples:
o cat rands20M.txt | awk '{s+=$1} END {print s}’
o cat rands20M.txt | parallel --pipe awk '{s+=$1}END{print
s}' | awk '{s+=$1} END {print s}’
o wc -l bigfile.txt
o cat bigfile.txt | parallel
{print s}'
Twitter: @thinrhino
--pipe wc -l | awk '{s+=$1} END
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7. Data Analysis
Twitter: @thinrhino
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8. Questions
@thinrhino
me@adityalaghate.in
Twitter: @thinrhino
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