PyConf Hyderabad 2017

PyConf Hyderabad

Python Data Analysis and Graphical Plotting using Pandas and Matplotlib.

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

videocam_off

Technical level

Intermediate

Status

Submitted

Vote on this proposal

Login to vote

Total votes:  +3

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) a year ago

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

  • 1
    Purna Chander (@purnachander) Proposer a year 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) a year ago

    Please add more details to the proposal.

    • 1
      Purna Chander (@purnachander) Proposer a year 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) a year ago

    Keen to undergo this session.

Login with Twitter or Google to leave a comment