Python Data Analysis and Graphical Plotting using Pandas and Matplotlib.

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

Technical level: Intermediate

Abstract

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

Outline

Analysis of a DataSet.
Structuring the Data to a readable format ( Unixtimestamps and Datatypes)
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

Umesh Narayanan (@hariumesh3) 2 years ago

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

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Purna Chander (@purnachander) Proposer 2 years 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.

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Kushal Das (@kushaldas) 2 years ago

Please add more details to the proposal.

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- Purna Chander (@purnachander) Proposer 2 years 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.
  
  [Link] [Parent]
Srini (@naik16) 2 years ago

Keen to undergo this session.

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