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data-exploration

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Ford GoBike System Data Exploration and Findings Communication: This document explores a dataset with information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area in 2019

  • Updated Nov 25, 2021
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We will analyze a dataset provided by an e-commerce marketplace called [Olist](https://www.olist.com) to answer the CEO's question: Should Olist remove underperforming sellers from its marketplace? How to increase customer satisfaction (so as to increase profit margin) while maintaining a healthy order volume?

  • Updated Dec 7, 2021
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Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

  • Updated Oct 4, 2018
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Explore valuable insights into the performance of a coffee chain across various locations, including key attributes such as Area Code, COGS, Profit, Sales, and more. Dive into sales trends, financial performance, and market dynamics.

  • Updated Feb 14, 2024
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The dataset I wrangled (and analysed and visualized) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.

  • Updated Nov 25, 2021
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