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How to Get Monthwise Count in MySQL for Reservations

Discover how to retrieve monthwise counts for reservations in MySQL, including counts by location for effective data analysis. --- This video is based on the question https://stackoverflow.com/q/65691098/ asked by the user 'Maryo David' ( https://stackoverflow.com/u/8710407/ ) and on the answer https://stackoverflow.com/a/65691293/ provided by the user 'AirlineDog' ( https://stackoverflow.com/u/14699946/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Getting the Monthwise count from date column in MySQL Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Get Monthwise Count in MySQL for Reservations If you're working with a database containing reservation data, you might find yourself needing to analyze how many reservations occurred each month or breakdown counts by location. This analysis can provide valuable insights for understanding seasonal trends or the popularity of specific locations. In this guide, we will walk through the process of extracting monthwise counts from a date column in MySQL using straightforward SQL queries. Understanding the Data Before diving into querying, let's take a look at the table structure that we'll use as our reference. The table contains the following columns: PNR: The reservation number Location: The location of the reservation Reservation Date: The date and time when the reservation was made Passenger Name: The name of the passenger Travel Date: The date and time of travel Sample Data Here’s a glimpse of the data contained in our reservation table: PNRLocationReservation DatePassenger NameTravel DatePNR81239087Mumbai2019-10-01 12:19:00Ram2019-11-06 15:59:00PNR81239090Kerala2019-10-01 15:18:00Kannan2019-12-03 19:18:00PNR812390199Mumbai2019-10-01 17:19:00Ram2019-11-01 18:39:00The objective is to calculate how many reservations took place each month, as well as how many reservations occurred per location for each of those months. SQL Queries for Monthwise Count Month Wise Count (Including All Locations) To get a month-wise count of all reservations, you can use the following SQL query: [[See Video to Reveal this Text or Code Snippet]] Explanation of the Query: CONCAT(MONTHNAME(Reservation_Date), '-', YEAR(Reservation_Date)): This part creates a combined string of the month and year, which makes it easier to read. COUNT(*): This function counts the total number of reservations made in that month/year. GROUP BY: This groups the results by each unique month-year combination. Monthwise Count for Each Location To retrieve the month-wise count for each location, you can modify the query slightly as follows: [[See Video to Reveal this Text or Code Snippet]] Key Points: Here, we added Location to the SELECT statement and included it in the GROUP BY clause. This allows us to see the count of reservations broken down by location for each month. Conclusion With these straightforward SQL queries, you can efficiently retrieve month-wise counts of reservations from a date column in MySQL, both for all locations combined and for individual locations. These insights can help you make better data-driven decisions regarding reservations and understand trends over time. Implementing these queries into your analysis will offer clarity and facilitate strategic planning. Happy querying!