Recognizing that you have duplicate rows within a list is problematic because you're never sure how many records have been duplicated. The Remove Duplicates option, on the Data tab, removes all duplicate rows within a list, based on dialog box setting where you determine the columns to be checked.
- [Voiceover] In this worksheet called List with Duplicates…you can guess there are duplicate records…and you probably already have seen rows four and five…are duplicates.…Now when you are exploring these…you are likely to have sorted by employee name,…that reveals some of these, but how many others are there.…And this list goes down as I click a cell…and double click the bottom edge, goes down to row 762.…So let's get rid of them.…Now the feature we are about to use doesn't require…that the records be adjacent,…although many times they would be.…And as we're trying to decide what to remove here…we don't necessarily have to look all the way across…in to column K, possibly we could say,…well if the employee name, building department,…ID and Phone are the same let's only look there…or maybe only look here, if those are duplicates…we've got a big problem, we probably should approach…it that way.…
But we've got different thoughts about how…we could pursue this.…Let's click within the data and refer to a feature…found on the data tab and this name describes…
- Prepping data for analysis
- Multiple-key sorting
- Sorting by rows or by columns
- Setting single- and multi-level subtotals
- Using text, numeric, and date filters
- Creating custom filters
- Filtering tables using slicers
- Using Advanced Filter
- Eliminating duplicate data
- Using SUMIF and COUNTIF functions for quick data analysis
- Working with the database functions such as DSUM and DMAX
Skill Level Intermediate
Working with Real-Time Data in Excelwith Chris Dutton1h 18m Intermediate
Learning Excel Data-Analysis (2015)with Curt Frye2h 24m Beginner
1. Data Preparation
2. Sorting Data
3. Creating Automatic Subtotals in Sorted Lists
4. Filtering Data
5. Advanced Filter
6. Eliminating Duplicate Data
7. Data Analysis Tools
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