Key Topics & Core Concepts
- Excel Table Architecture: Converting 6,000-row tabular data ranges into structured Excel tables and enforcing proper table naming conventions.
- Data Ingestion via Power Query: Loading structured table objects directly into the Power Query Editor using From Table/Range.
- ETL Data Hygiene: Standardizing text strings across thousands of customer records using Capitalize Each Word and Trim.
- Column Transformations & Merging: Combining separate name fields (First, Middle Initial, Surname) into clean composite attributes and establishing explicit data types.
- Query Loading: Loading processed query definitions back into the workbook and managing active data connections.
Assignment Overview & Deliverables
Power Query prefers structured data in the form of an Excel table. In this assignment, you will format the 6,000-row corporate directory dataset as an Excel table, assign formal table properties, ingest the records into Power Query, cleanse and standardize mixed-case name and address strings, and load the transformed dataset back to Excel.
- Starter File:
Operations-Directory.xlsx - Required Submission Name:
[your initials]OperationsDirectory.xlsx - Target Table & Worksheet: Table
Directoryon the primary data tab
Step-by-Step Instructions
Step 1: Open Starter & Format Data as an Excel Table
- Download and open
Operations-Directory.xlsxin Excel. Click Enable Editing to begin working. - Save your workbook as
[your initials]OperationsDirectory.xlsx. - Click anywhere in the data range.
- Turn the data into an Excel table:
- On the Home tab, in the Styles group, click Format as Table. (Keyboard shortcut: Ctrl + T).
- In the Create Table dialog box, confirm that the data range displays
$A$1:$O$6001. Because there are no blank rows or columns, Excel selects the complete 6,000-record dataset automatically. - Check the box for My table has headers, then click OK.
Step 2: Assign Formal Table Properties
- With your cursor anywhere inside the newly formatted table, navigate to the Table Design contextual tab (or Table Tools Design).
- In the Properties group on the far left, click inside the Table Name box. (Keyboard shortcut: press and release Alt, then press J → T → A).
- Type
Directoryas the table name and press Enter.
Step 3: Ingest Table into Power Query
- Ensure your active cell remains inside the
Directorytable. - On the Data tab, in the Get & Transform Data group, click From Table/Range (or From Sheet).
- The Power Query Editor will open in a separate window displaying all 6,000 rows across 15 columns.
- In the Query Settings pane on the right under Properties, verify that the query is named
Directory.
Step 4: Cleanse, Standardize & Transform Fields
- Select the text columns with mixed casing (such as
First Name,Surname,Street, andCity). - On the Transform tab, in the Text Column group, click Format > Capitalize Each Word to convert inconsistent uppercase and lowercase entries into standard Title Case.
- With the text columns still selected, click Format > Trim to strip any rogue leading or trailing whitespace characters.
- Hold Ctrl to select
First Name,Middle Initial, andSurnamein order. On the Add Column tab, click Merge Columns. Set the separator to a Space and name the new columnFull Name. - Review the data type indicators in the column headers (e.g.,
ABCfor Text,123for Whole Number, Calendar icon for Date). Ensure ZIP/postal codes and phone numbers are formatted as Text so leading zeros are preserved.
Step 5: Close & Load to Excel & Canvas Submission
- On the Home tab of the Power Query Editor, click the upper half of the Close & Load button.
- Power Query will process all steps and load the cleaned records into a new worksheet tab in your workbook.
- Confirm that all 6,000 records loaded successfully without query errors in the Queries & Connections side pane.
- Save the finalized workbook as
[your initials]OperationsDirectory.xlsx. - Perform an autograder pre-flight check at
/teaching/ISMG-2050/submit.html. - Upload your completed workbook directly to Canvas before the deadline.
Refer to Canvas for official submission cutoff and penalty policies.
Key Skills Evaluated
- Conversion of large datasets ($A$1:$O$6001) into formal Excel table structures
- Excel Table naming syntax and property management
- Loading data into the Power Query Editor via From Table/Range
- Text hygiene transformations (Capitalize Each Word, Trim, Column Merging)
- Preservation of text data types for numerical identifier fields