From the course: Hands-On PostgreSQL Project: Spatial Data Science
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Time-based analysis: Grouping trips by half-hour intervals
From the course: Hands-On PostgreSQL Project: Spatial Data Science
Time-based analysis: Grouping trips by half-hour intervals
- [Instructor] We've explored some basic questions in SQL in the previous video. Let's move on to queries that are more analytical in nature. One of the key insights we can derive from our trip data is understanding when bike usage is highest throughout the day. The ability to group trips by specific time intervals, like every 30 minutes will help us see patterns, whether it's a morning rush, lunchtime peak, or evening slowdown. These insights can be incredibly valuable for stakeholders who want to optimize bike availability or even schedule maintenance during lower usage periods. The goal here is to create a new column that categorizes each trip, start time into half hour intervals. Once we have that, we can then analyze how many trips are taken in each interval and understand these usage patterns more clearly. Pause the video now and take a few minutes to create your own SQL solution. Then I'll walk you through how I approach the problem. You can use the file 03_02_workbook.SQL in…
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