One picture is worth than thousand words!(Data Visualization using Python)

[manikant-iiitmk]

• Abstract (2-3 lines) One picture is worth than thousand words! The main goal of this Data Visualization with Python talk is to teach, how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Data Visualization is one of the challenging task after analyzing the data. Analyzing data with sophisticated algorithm or techniques is not sufficient, it must tell the story such that one can understand the result by looking at visualization itself.

• Brief Description and Contents to be covered Part 1 Understanding Python & data [5 Minutes ] Introduction to data visualization [5 Minutes ] Python data visualization libraries [5 Minutes ] Environment Settings /Installation [10 Minutes] Getting Started with Matplotlib [10 Minutes] Visualization of IRIS Dataset [10 Minutes] Exercise 1 (Basics Plotting) [15 Minutes] Part 2 [1 Hour] Understanding various charts/Plot /Graph Area Plot Histograms Bar Charts Line Plot Pie Charts Box Plots Scatter Plot Bubble Plot Waffle Charts Word Cloud Seaborn and Regression Plot Exercise 2 (Advanced Plotting)

• Pre-requisites for the talk No pre-requisites!

• Time required for the talk 1-1.5 hrs( can be customized )

• Link to slides https://drive.google.com/drive/folders/1SEfEV9kJmWozuNBXg1qHhiiq8kTMlEqm?usp=sharing

(Tentative one)

• Will you be doing hands-on demo as well? Yes
• Link to ipython notebook (if any) Will be sharing on the day it self
• About yourself Manikant Roy is an Assistant Professor at Lovely Professional University Punjab (India), where he is leading project group in data analysis using python. https://linkedin.com/in/moneykant/
• Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes
• Any query ? NO

[MSanKeys963]

Please have a look @shagunsodhani.

[shagunsodhani]

Thank you for the proposal @manikant-iiitmk :) It would be helpful for the attendees if you were to add the link to the notebooks a few days before the event.

[manikant-iiitmk]

@shagunsodhani @MSanKeys963 sure , I will do it :)