by Purna Chander (@purnachander) on Sunday, 27 August 2017

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Vote on this proposal
Status: Submitted
Technical level
Intermediate

Abstract

Analysis of a dataset using Numpy, Pandas, IPython and Graphical plotting of the Insights using Matplotlib

Outline

  1. Analysis of a DataSet.
  2. Structuring the Data to a readable format ( Unixtimestamps and Datatypes)
  3. Graphical Representation of the data insights.

This tech talk is about reading, joining, analysing different datasets ( csv, xlsx ) using Ipython, Pandas and Numpy and finding the insights in it, with a graphical representation using Matplotlib.
Will also talk about how the Graph lies.

Requirements

Python 3.x, Ipython, Numpy, Pandas and Matplotlib.

Speaker bio

I am Purna Chander.Kathula working with Pramati Technologies as an Architect - QA. I design and develop customise tools for testing applications using Python and Perl.

Comments

  • 1
    [-] Umesh Narayanan (@hariumesh3) 3 months ago

    Please mention challenges in ur presentation.. This would be intresting.

  • 1
    [-] Purna Chander (@purnachander) Proposer 3 months ago

    sure Umesh Narayanan will do. this would be like applying the date ranges, typecasting and etc.. to mention a few. this presentation not only covers the data and its representation but it also talks about the Negative perceptions based the graphs.

  • 1
    [-] Kushal Das (@kushaldas) 2 months ago

    Please add more details to the proposal.

    • 1
      [-] Purna Chander (@purnachander) Proposer 2 months ago

      This tech talk is about reading, joining, analysing different datasets ( csv, xlsx ) using Ipython, Pandas and Numpy and finding the insights in it, with a graphical representation using Matplotlib.
      Will also talk about how the Graph lies.

  • 0
    [-] Srini (@naik16) 3 months ago

    Keen to undergo this session.

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