Statistics plays an important role in assessing teams and/or players performance in baseball. In this project baseball data is used to find insights related to MLB spending on players salaries and team payrolls. It illustrates the stages involved in data analysis process. Follow this link to view the HTML output.
Data used in this project is freely downloadable from this link. The version of data used in this project is 2015-comma-delimited version. The analysis is done in python 2.7 and code can be found in the ipython notebook named baseball-statistics.ipynb. The pip requirements and conda environment export can be found in env folder.
Want to add your own analysis and insights? Contributions are welcome!
First, fork this repository.
Next, clone this repository to your desktop to make changes.
$ git clone {YOUR_REPOSITORY_CLONE_URL}
$ cd baseball-statisticsOnce you've pushed changes to your local repository, you can issue a pull request by clicking on the pull request button.
The contents of this repository are covered under the MIT License.