Data Cleaning in Excel Timestamps – 10 Tricks from Beginner to Pro
[0:00] Introduction to Data Cleaning Introduction to the video and overview of the database to be cleaned, including initial steps like filtering and freezing rows for better data visibility. [0:45] Removing Duplicates and Sorting Data Demonstration of removing duplicates based on employee ID, staff name, designation, and salary, followed by custom sorting using email ID and serial number. [1:50] Adjusting Column Widths and Alignments Explanation of adjusting column widths and applying left, center, and right alignments to different data types for better readability. [3:00] Cleaning Text Data and Trimming Spaces Use of TRIM and PROPER formulas to remove extra spaces and standardize text formatting in designation and other columns. [4:00] Converting and Formatting Dates Conversion of date of birth from numbers to proper date format using text formulas, and calculation of employee age using date functions. [5:00] Rounding Age Values and Gender Coding Rounding age values to whole numbers and coding gender using numeric values with VLOOKUP to assign male and female labels. [6:00] Summary and Next Steps Recap of all data cleaning steps applied and a preview of the next video focusing on formula-based data analysis.
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