
Learn how pivot tables create a separate analysis environment, connect to your data, and use pivot table fields (filters, rows, columns, and values) to compute sums like price.
Explore how to use rows and columns in pivot tables to compare online and offline average sales by agent, and manage field labels for a cleaner report.
Create a pivot table with the agent field in rows to show each agent's number of sales, total sales, and average sales, then format as currency and set clear headers.
Sort pivot table values to rank products by overall sales in descending order, identifying top and bottom performers using the sort options.
Learn how to apply values filtering in pivot tables to show only results where the total sales exceed 10,000, using value filters on the calculated outcome rather than individual transactions.
Learn to build a pivot table that shows the top 3 and bottom 3 products by overall sales, with average customer satisfaction, using dynamic filters.
Convert the data range to a table to enable automatic expansion with new rows or columns, then refresh the pivot table to reference the updated table.
Group dates into weeks in a pivot table, sum weekly sales, rename weeks, and format to reveal seasonality and guide business decisions.
Create pivot tables to answer assignment questions, computing overall sales, average ratings, orders, and average discount, then add slicers and connect reports by agent, product, location, and order type.
Set pivot table values to percentage of column total to compare product sales across online and offline channels. Visualize the distribution with a 100% stacked bar chart for clear insights.
Explore how running totals reveal monthly sales trends in pivot tables, show final price values, and analyze the percentage of running total to derive actionable insights.
1. How many orders were placed each day/week/month?
Create a pivot table to count campaigns by channel and view the distribution across channels. Customize the pivot chart with a bar chart, adjust layout, and colors for clarity.
Create a pivot table from marketing data to analyze the distribution of campaigns across different age groups, then visualize with a pivot chart to compare campaigns by age group.
Learn to compute the average budget allocated to marketing campaigns with Excel pivot tables, format currency in USD, and visualize results with a pivot chart.
Explore how to calculate and visualize campaign ROI using pivot tables, calculated fields, and combo charts in Excel, showing spend and sales to compare performance across campaigns and channels.
Calculate the average cost per click by building a calculated field in a pivot table (spend divided by clicks), then analyze CPC across campaigns and formats.
PIVOT TABLES are the most sought out feature of Excel and is often used at work environment.
In this course you will learn a lot about Pivot Tables.
You'll get to learn about the below scenarios:
Inserting a Pivot table from a simple dataset
Inserting Fields and giving a shape to Pivot Table
Changing Views and understanding Views for different data
Moving Pivot Tables
Inserting and Managing Timelines
Inserting and Managing Slicers
Grouping Data on Excel
Filtering Data on Excel
Pivot Tables has been critical for most of the tasks at work. However it had its disadvantages and is often time consuming if the data is complex.
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