What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
the aRt of NSSO data
Understanding the structure of raw data published by the National Sample Survey Office. Understanding the processes (and libraries) for extracting, exploring and visualising the data with R.
First part of the session demystifies the organisation of raw data published by NSSO. We discuss the different rounds and schedules of data collection by NSSO, and the specificities of the published datasets.
In the second part, we discuss the process of extracting the raw data into formats that can be statistically manipulated and the challenges therein.
We conclude by briefly noting few R libraries that can be used for exploratory visualisation of the extracted data.
Interest of NSSO data, and open-source statistics and visualisation using R.
I am a researcher with linked interests in political economy, urban transformations, social and spatial theories and in issues of technology and society.
Previously a student of economics, I am keenly interested in data visualisation and web-based mapping; as well as in critical perspectives on and political dimensions of data resources and its use for governance or in everyday contexts.