Shark-Tank-Pitches
OpenML dataset with id 43396
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102221/Shark-Tank-Pitches.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 19 (numeric: 5, symbolic: 2 and in total binary: 2 )
Number of instances: 495
Number of instances with missing values: 108
Number of missing values: 110
Acknowledgement
Thanks to The Concept Center for publishing this article, an analysis, and pulling the data.
Background
Shark Tank is an ABC show where entrepreneurs around the United States can pitch their ideas to billionaires. The show started in Japan in 2009 and has gained traction over the years to what it is today. Wikipedia For this study, I thought that it would be interesting to take the 6 seasons of Shark Tank which consists of 122 episodes and 495 companies, see which ones performed the best and asked the most. In addition, I wanted to see if there are any trends when it comes to those companies getting a deal with at least one shark. Which of the Shark Tank companies will be the best? Lets explore from the data what we can find.
Data
The data was collected from Shark Analytics, who was able to aggregate the information into one relative area.
Date Pulled: 11/28/2017 10:30pm
Total Seasons: 6
Total Episodes: 122
Total Companies on the Show: 495
This page was built for dataset: Shark-Tank-Pitches