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PyCon, the gathering for the community using and developing the open-source Python programming language. This is the first year of the PyCon Pune where the community will meet for two days of talks and working on upstream projects in two days of dev sprint. CFP ends on 30th November AoE.
SM
Sarah Masud
@sara_02
What makes a diamond costly? - An Introduction to ggplots in Python
Submitted Nov 28, 2016
Technical level:
Beginner
Visualizing any dataset (specially when we don’t have domain knowledge) serves 3 purposes:
- Understand how the attributes interact with each other.
- Determine the attributes that are more important for predictive models.
- Help create new hypothesis, and/or verify old ones.
This talks aims to help the audience understand the importance of data visualization, and role of ggplots as a tool, through the visual story of price vs intrinsic diamond properties.
Sample of what will be presented along with the demo, is attached in the slides.
Outline
Aim: To understand why is pre-modeling visualization a good idea.
Outline:
- What are various visualization tools in Python?
- What are ggplots adn why use them?
- Use Case- use functionality of ggplots to visualize the price evaltuion of a diamond.
Key take away: What are ggplots, and how they are useful in understanding new domains.
Requirements
Laptops with Python 2.7
Python libraries- matplotlib, pandas, numpy, ggplots
Speaker bio
As an associate software engineer at Red Hat, I am currently working on an analytics project. My work under Dr. Tanvir Ahamd on Framework to Extract Context Vectors from Unstructured Data using Big Data Analytics was presented at Ninth International Conference on Contemporary Computing(Aug 2016). Currently I am envolved with IEEE WIE Stand project as mentor for the Data Science and Machine Learning track, and volunteer with Women Who Code, Lean In and Grace Hopper India. I am ever enthusiastic about Data Science, Women in Tech, and Open Source.
Links
Slides
https://docs.google.com/presentation/d/1K_Kl_34yuyDe0Ezk2rNBIwcqnOuYylS8ZsfzIOoNh1o/edit?usp=sharing
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