Day 6
Using a pivot table to summarize sales of varying categories #20dayswithdata #hertechtrailacademy #HTTDataChallenge #Dataaggregation #Pivottable
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Day 7
#20dayswithdata #pivotTable #DataAggregation
Using index and match function to extract some data
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DAY 6.
It's all about pivot tables and insights drawn.
#20dayswithdata #PivotTables #DataAggregation .
DAY 18- AGGREGATING with HAVING
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#DataAggregation
I calculated the average order value for each customer using the AVG () function then I used the HAVING clause to filter the results and only return rows
DAY 6- PIVOT TABLES
#pivotTables #DataAggregation #20dayswithdata #hertechtrailacademy #HTTDatachallenge
I utilized the pivot table to summarize sales data across the different categories, leading to the following insights:
1. The highest sales were recorded in Yangon city.
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Day 6 of #20dayswithdata challenge. I used Pivot Tables to show Total Sales by various categories.
#hertechtrailacademy #HTTDataChallenge
#PivotTables #DataAggregation
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