https://inmachineswetrust.com/enSun, 23 Aug 2020 20:35:36 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttps://inmachineswetrust.com/posts/exploring-pokemon-dataset/Red Huq<div><style type="text/css"> div.prompt { display: none; } div.rendered_html table, .rendered_html th, .rendered_html tr, .rendered_html td { font-size: 16px; border: 1px solid black; } </style> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div> <div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p>The Pokemon dataset is a listing of all Pokemon species as of mid-2016, containing data about their type and statistics. Considering how diverse Pokemon are, I was interested in analyzing this datset to learn how the game is balanced and to potentially identify the best Pokemon, if there exists one. Plus, it's a good excuse for me to practice exploratory data analysis with Python's open-source libraries: Pandas for data analysis and Seaborn for visualizations. </p><p><a href="https://inmachineswetrust.com/posts/exploring-pokemon-dataset/">Read more…</a> (23 min remaining to read)</p></div></div></div></div>data visualizationexploratory analysispandasseabornhttps://inmachineswetrust.com/posts/exploring-pokemon-dataset/Thu, 19 Jan 2017 16:00:00 GMT