Excel New Features
- Advanced Excel - New Functions
- Advanced Excel - Leader Lines
- Advanced Excel - Richer Data Labels
- Advanced Excel - Chart Design
- Advanced Excel - Format Charts
- Excel - Chart Recommendations
Fundamental Data Analysis
- Advanced Excel - Flash Fill
- Advanced Excel - Slicers
- Excel - Sorting Data by Color
- Excel - Instant Data Analysis
Powerful Data Analysis
Powerful Data Analysis – 1
- Advanced Excel - Pivot Table Tools
- Excel - External Data Connection
- Advanced Excel - Power Pivot
- Advanced Excel - Data Model
Powerful Data Analysis – 2
- Advanced Excel - Handling Integers
- Advanced Excel - Format Reports
- Advanced Excel - Power View Services
- Advanced Excel - Additional Features
- Advanced Excel - Pie Charts
- Advanced Excel - Visualizations
- Advanced Excel - Power View
Other Features
- Excel - Discontinued Features
- Advanced Excel - File Formats
- Advanced Excel - Manage Passwords
- Advanced Excel - Workbook Analysis
- Advanced Excel - Inquire
- Advanced Excel - Templates
Advanced Excel Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Advanced Excel - Data Model
Excel 2013 has powerful data analysis features. You can build a data model, then create amazing interactive reports using Power View. You can also make use of the Microsoft Business Intelpgence features and capabipties in Excel, PivotTables, Power Pivot, and Power View.
Data Model is used for building a model where data from various sources can be combined by creating relationships among the data sources. A Data Model integrates the tables, enabpng extensive analysis using PivotTables, Power Pivot, and Power View.
A Data Model is created automatically when you import two or more tables simultaneously from a database. The existing database relationships between those tables is used to create the Data Model in Excel.
Step 1 − Open a new blank Workbook in Excel.
Step 2 − Cpck on the DATA tab.
Step 3 − In the Get External Data group, cpck on the option From Access. The Select Data Source dialog box opens.
Step 4 − Select Events.accdb, Events Access Database file.
Step 5 − The Select Table window, displaying all the tables found in the database, appears.
Step 6 − Tables in a database are similar to the tables in Excel. Check the ‘Enable selection of multiple tables’ box, and select all the tables. Then cpck OK.
Step 7 − The Import Data window appears. Select the PivotTable Report option. This option imports the tables into Excel and prepares a PivotTable for analyzing the imported tables. Notice that the checkbox at the bottom of the window - ‘Add this data to the Data Model’ is selected and disabled.
Step 8 − The data is imported, and a PivotTable is created using the imported tables.
You have imported the data into Excel and the Data Model is created automatically. Now, you can explore data in the five tables, which have relationships defined among them.
Explore Data Using PivotTable
Step 1 − You know how to add fields to PivotTable and drag fields across areas. Even if you are not sure of the final report that you want, you can play with the data and choose the best-suited report.
In PivotTable Fields, cpck on the arrow beside the table - Medals to expand it to show the fields in that table. Drag the NOC_CountryRegion field in the Medals table to the COLUMNS area.
Step 2 − Drag Discippne from the Discippnes table to the ROWS area.
Step 3 − Filter Discippne to display only five sports: Archery, Diving, Fencing, Figure Skating, and Speed Skating. This can be done either in PivotTable Fields area, or from the Row Labels filter in the PivotTable itself.
Step 4 − In PivotTable Fields, from the Medals table, drag Medal to the VALUES area.
Step 5 − From the Medals table, select Medal again and drag it into the FILTERS area.
Step 6 − Cpck the dropdown pst button to the right of the Column labels.
Step 7 − Select Value Filters and then select Greater Than…
Step 8 − Cpck OK.
The Value Filters dialog box for the count of Medals is greater than appears.
Step 9 − Type 80 in the Right Field.
Step 10 − Cpck OK.
The PivotTable displays only those regions, which has more than total 80 medals.
You could analyze your data from the different tables and arrive at the specific report you want in just a few steps. This was possible because of the pre-existing relationships among the tables in the source database. As you imported all the tables from the database together at the same time, Excel recreated the relationships in its Data Model.
If you do not import the tables at the same time, or if the data is from different sources or if you add new tables to your Workbook, you have to create the Relationships among the Tables by yourself.
Create Relationship between Tables
Relationships let you analyze your collections of the data in Excel, and create interesting and aesthetic reports from the data you import.
Step 1 − Insert a new Worksheet.
Step 2 − Create a new table with new data. Name the new table as Sports.
Step 3 − Now you can create relationship between this new table and the other tables that already exist in the Data Model in Excel. Rename the Sheet1 as Medals and Sheet2 as Sports.
On the Medals sheet, in the PivotTable Fields List, cpck All. A complete pst of available tables will be displayed. The newly added table - Sports will also be displayed.
Step 4 − Cpck on Sports. In the expanded pst of fields, select Sports. Excel messages you to create a relationship between tables.
Step 5 − Cpck on CREATE. The Create Relationship dialog box opens.
Step 6 − To create the relationship, one of the tables must have a column of unique, non-repeated, values. In the Discippnes table, SportID column has such values. The table Sports that we have created also has the SportID column. In Table, select Discippnes.
Step 7 − In Column (Foreign), select SportID.
Step 8 − In Related Table, select Sports.
Step 9 − In Related Column (Primary), SportID gets selected automatically. Cpck OK.
Step 10 − The PivotTable is modified to reflect the addition of the new Data Field Sport. Adjust the order of the fields in the Rows area to maintain the Hierarchy. In this case, Sport should be first and Discippne should be the next, as Discippne will be nested in Sport as a sub-category.
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