Python Data Analysis and Graphical Plotting using Pandas and Matplotlib.
Submitted by Purna Chander (@purnachander) on Sunday, 27 August 2017
Technical level
Intermediate
Status
Submitted
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
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1Umesh Narayanan (@hariumesh3) a year ago
Please mention challenges in ur presentation.. This would be intresting.
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1Purna 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.
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1Kushal Das (@kushaldas) a year ago
Please add more details to the proposal.
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1Purna 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.
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0Srini (@naik16) a year ago
Keen to undergo this session.