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Social Data - Python and R Intro

A introductory tutorial to use r and Python for Social Data
by

Jose Manuel Magallanes

on 31 March 2014

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Transcript of Social Data - Python and R Intro

an Introduction
CLEANING
A need to customize the data gathered as they may come from
different sources
that use non standard symbols, local formats, some non compatible denominations for the units of analysis, etc.
VISUALIZATION
Finding an effective way to
represent the findings
in a meaningful and engaging way to the reader.
COLLECTION
Social data
is not the kind of data collected by sensors. It is generally related to complex
concepts
whose particular
definition
guide us collect physical
quantities
or generate
proxies
through different processes.

This processes produces
data

well or poorly
structured
.
INTEGRATION
Data with different structure levels will need to be
combined
to inform jointly the
history
, current situation and
trend
of the proxies of interest.
and for Social Data
DISSEMINATION
Deciding what the best channels are to have my work
reach the audience
I planned.
CURATION
Activities required to maintain research data long-term such that it is available for
reuse, update and preservation
MODELING
VERIFICATION
& VALIDATION
TRY to
formalize
the relationship among the behavior of some possible population aspects and its kind of
relationship
(causation, correlation collation) with the social phenomena of interest
Making sure the process really followed the
right steps
, and making sure the process gave a
right result
.
http://tinyurl.com/gitcuration
Full transcript