Demonstrate tabling skills by examining employee relations, payroll, and benefits. Keeping the above table guidelines in mind, import human resource data into Excel, as a table. We will import the Excel file into our CH 5 Data file, turn the data into a table for further analysis. The data downloaded from the database is stored in an Excel workbook, however, it’s in a Comma Separated Values (CSV) format. In our example, we will work with an Excel file that has imported data from a human resources database. Databases vary drastically, therefore in some cases, it is necessary to import data types into Excel. In industry, data is commonly stored in databases or multiple Excel files. When graphing and charting table data you will also see Excel automatically adjusts of associated charts and ranges based on what the user is sorting or filtering at the time. You will also notice Excel treats formulas and calculations differently in a table, showing structured column names, along with automatically filling a calculated field to the entire table or offering quick and easy table totaling tools. Excel will also automatically expand the table to accommodate new data entries and allows for automatic formatting, such as recoloring of banded rows or columns. For example, using integrated filters and sort functions you can effortlessly drill down data based on questions and in return get results. There are several advantages of Excel treating the data independently. Excel treats the table area as a database locking the record entries together. Below are guidelines to consider when designing and building a table from scratch:Įxcel tables behave independently from the rest of the information on the worksheet. Structuring and planning table layouts are vital for data integrity. Turning a range of cells into an Excel table makes related data easier to analyze, visualize, and report. In this chapter, we will import data, and demonstrate tabling skills by examining employee relations, payroll, benefits, and training options. Organizing, maintaining, analyzing, and reporting human resources data is essentials across industries. Understand table properties and structure.
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March 2023
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