data-science-survey-on-Kaggle
OpenML dataset with id 43458
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102283/data-science-survey-on-Kaggle.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 4 (numeric: 0, symbolic: 0 and in total binary: 0 )
Number of instances: 10,153
Number of instances with missing values: 4,162
Number of missing values: 9,824
Context Throughout the world of data science, there are many languages and tools that can be used to complete a given task. While you are often able to use whichever tool you prefer, it is often important for analysts to work with similar platforms so that they can share their code with one another. Learning what professionals in the data science industry use while at work can help you gain a better understanding of things that you may be asked to do in the future.
Content In this project, we are going to find out what tools and languages professionals use in their day-to-day work. Our data comes from the Kaggle Data Science Survey which includes responses from over 10,000 people that write code to analyze data in their daily work.
Acknowledgements
Kaggle and DataCamp helped me with the dataset.
This page was built for dataset: data-science-survey-on-Kaggle
