Garima Negi

@Garima-Negi · User

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Twilio SegmentSan Francisco27 followers23 repositories

Repositories

Garima-Negi/Airbnb-Data-Analysis

This project examines Airbnb data from 2015 to 2017. Reviews are the richest source of data about how a trip went with cleanlinessŁ, check in, communication, host, etc. in focus. With increasing number of hosts listing their rental on Airbnb and more and more travellers preferring it over traditional accommodations it is important to understand which factors drive the reviews and ratings. In this project we have analyzed and inferred the top factors leading to negative reviews in US cities to help hosts improve in those aspects. We have also analyzed combined ratings for different factors to plot on map the best- rated listings in these cities. The technologies used for data analysis in this project are SparkML, Python, Pyspark, NLTK and Tableau, Plotly for its visualisation. This report elaborates on all concepts, tech stack, steps taken and provides visualizations for better understanding.

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Garima-Negi/bash2py

bash2py in a docker image, cf: http://www.swag.uwaterloo.ca/bash2py/index.html

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