{"id":21101,"date":"2023-07-20T17:27:08","date_gmt":"2023-07-20T15:27:08","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/data-analysis-dataset-for-rental-sales-includes-all-sales-throughout-all-of-2018-and-december-of-2017\/"},"modified":"2023-07-20T17:27:08","modified_gmt":"2023-07-20T15:27:08","slug":"data-analysis-dataset-for-rental-sales-includes-all-sales-throughout-all-of-2018-and-december-of-2017","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/data-analysis-dataset-for-rental-sales-includes-all-sales-throughout-all-of-2018-and-december-of-2017\/","title":{"rendered":"Data Analysis: Dataset For Rental Sales Includes All Sales Throughout All Of 2018 And December Of 2017?"},"content":{"rendered":"

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Hello everyone!<\/p>\n

So I found a real dataset on bike rentals between 12\/01\/2017 – 12\/31\/2018. It has fields such as date, hour of the day, bike rentals in that hour, temperature, season, rainfall, snow, wind speed.<\/p>\n

The only thing that I was curious about is if it’s even a good idea to include the data on the last month of 2017. Or would it be best to simply do an annual analysis of bike rentals for just 2018 since it includes every day sales for the whole year.<\/p>\n

I would\u2019ve liked to include 2017 but I feel as if the month of December 2017 might skew some results if I do, such as season or even weather analysis on rentals.<\/p>\n

I\u2019m trying to answer business needs questions such as factors affecting bike rentals (weather conditions) to suggest possible solutions.<\/p>\n<\/div>\n

submitted by \/u\/htxastrowrld <\/a>
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