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Exploratory data analysis with Pandas and Plotly on speed dating data

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Exploratory Data Analysis on speed dating data 💘

The dataset was obtained from the Speed Dating Experiment dataset on Kaggle. The aim is to investigate the factors and biases influecing the choice of the individual participating to the speed dating sessions.

From the Kaggle dataset description:

This dataset was compiled by professors Ray Fisman and Sheena Iyengar for their 2006 paper Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment.

Data was gathered from participants in experimental speed dating events from 2002-2004. During the events, the attendees would have a four minute "first date" with every other participant of the opposite sex. At the end of their four minutes, participants were asked if they would like to see their date again. They were also asked to rate their date on six attributes: Attractiveness, Sincerity, Intelligence, Fun, Ambition, and Shared Interests.

The dataset also includes questionnaire data gathered from participants at different points in the process. These fields include: demographics, dating habits, self-perception across key attributes, beliefs on what others find valuable in a mate, and lifestyle information.

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Exploratory data analysis with Pandas and Plotly on speed dating data

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