Day 12 of the @hertechtrail @HTTDataChallenge task is to calculate total sales and average order value by region using SUM(), AVG(), COUNT() and chained JOINs across 4 tables. N/B I used ROUND() on your AVG() to reduce my decimal places. #SQLAggregation #DataAnalytics

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to track sales performance across regions. (A screenshot of my aggregated results is attached😊) @hertechtrail @phaibooboo @it_is_reel @preciey_oma @ogbonna42449096 @som_nnamani @mychailblaise @AtiJoshua #hertechtrailacademy #HTTDataChallenge #SQLAggregation #DataAnalytics #Day12

I wrote a query calculating the total sales and average order value for each region where the papers are being sold; I had to join 4 different tables to get the result. Thread… #hertechtrailacademy #HTTDataChallenge #SQLAggregation #DataAnalytics @tech_bella @it_is_reel

Day 12 of 15-day Data challenge Today, I wrote an SQL query to calculate the Total sales and Average order value for each region. Grouping and aggregation are powerful tools for gaining insights from data. #HerTechTrailAcademy #HTTDataChallenge #SQLAggregation #DataAnalytics

Day 12 of my 15-Day #HTTDataChallenge Today, I dived into grouping and aggregation. My task was to write an SQL query to calculate the total sales and average order value by region. ✨Below is a snippet of my query and the results.👇 #SQLAggregation @hertechtrail @phaibooboo

8/12 4. Forgetting to group after aggregating Using aggregate functions without GROUP BY (or with incomplete grouping) is a common mistake. This omission can lead to incorrect results or SQL errors. Always review your grouping logic. #SQLAggregation #DataAnalysis #SQL

27/ You can combine COUNT with WHERE: This counts how many mystery books you have. It's like asking, "How many whodunnits do we have?" #SQLAggregation

#DAY12 of 15 #hertechtrailacademy wrote an SQL query calculating total sales and average order value by region. #HTTDataChallenge #SQLAggregation #DataAnalytics @hertechtrail @phaibooboo @it_is_reel @som_nnamani @mychailblaise @AtiJoshua

#SQL #DataAnalysis #SQLAggregation #DataScience #TechTips #LearnSQL #DataDriven #Coding #Programming 💻 linkedin.com/posts/satyasaad…

To successfully calculate the above questions, I will have to aggregate 3 tables(Sales_reps table, account tables and order table) Below is my query and answer gotten #Hertechtrail academy #HTTDataChallenge #SQLAggregation #DataAnalytics

Exciting, isn't it? Feel free to share your thoughts! @hertechtrail @ImaNjokko @phaibooboo @fresh_gb @vicSomadina @AtiJoshua @OMOTOSHOOLAMI15 @tech_bella @atakpeku #SQLAggregation #DataAnalytics #DataSkills #HTTACohort8 #15dayscontentchallenge

Day 15💃 The North Eastern region exceeded other regions with a highest total sale of $7,744,405.36 and the largest paper quantity sold, which summed up to 1,230,378 while the Mid Western region had the lowest total sales and sales quantity sold #20dayswithdata #SQLAggregation

other regions. The West region recorded the highest average order value compared to all the other regions @phaibooboo @hertechtrail @HTTDataChallenge #20dayswithdata #SQLAggregation #DataAnalytics

Day 15 #20dayswithdata Joined multiple tables (Accounts, Salesrep, Orders, Region) to retrieve total orders and average order value by region. Results show that Northeast and Southeast region were highest grossing. #SQLAggregation #DataAnalytics #MySQL

Day 15 #20dayswithdata The northeastern region recorded the highest sales and generated the highest revenue, while midwestern region recorded the lowest sales and generated the lowest revenue. #SQLAggregation #DataAnalytics

Day 15: Grouping and Aggregation Total sales for each region was calculated,North East had the highest number of sales. Average order value for each region was also calculated. #SQLAggregation #Dataintegration #20dayswithdata #hertechtrailacademy

Day 15 of 20 Task: Write an SQL query to calculate total sales and average order value by region. #hertechtrailacademy #HTTDataChallenge #20dayswithdata #SQLAggregation #DataAnalytics

Day 15/20: Grouping & Aggregation Write an SQL query to calculate total sales and average order value by region. #Better_Late_Than_Never #20dayswithdata, #hertechtrailacademy, #SQLAggregation @phaibooboo @ImaNjokko @AtiJoshua @vicSomadina @fresh_gb @OMOTOSHOOLAMI15

helping us identify high-value customers and potential areas for revenue growth. #hertechtrailacademy #SQLhavingclause #SQLaggregation #buildinpublic @ @phaibooboo @fresh_gb @FrizzyHub @zulaykha_o