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The date hierarchy operation creates additional useful columns so that you can perform aggregate analysis by year, 
quarter, month, week and day of month 
9.  Change ord_date_year to string type 
Data is now loaded and ready for analysis 
Build Chart 1 : Sales by year and product line 
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1. Drag "Product Line" to Rows bucket 
2. Drag "ord_date_year" to Cols bucket 
3. Drag "Sales" to Values bucket 
4. Select "Vertical Bar [Stack]" from the Visualization Picker 
Add Chart 1 to Dashboard 
1. Switch to Editor Tab 
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2.  Create new dashboard page 
1. Click on "Actions" menu 
2. Select "New Page" 
3. Give a name to dashboard 
Let us call this "Retail Dashboard" 
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4.  Switch to Visualizer Tab 
5.  Save Data 
Confirmation of data load complete 
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6.  Add analysis to dashboard 
7.  First chart on dashboard 
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Build Chart 2 : Sales by year and Customer Class 
1.  Switch to the Visualizer Tab 
2. Remove the product line dimension from Rows bucket 
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3. Add Customer Class to Rows bucket 
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4. Chart 2 complete
5. Click on "Add analysis to dashboard button"  
Note: We do not need to save the data for adding new charts to the dashboard. All charts on the same dashboard 
will be using the same data set that is already saved in prior step. 
This completes two charts on the dashboard. As you notice the subsequent addition operation stacks the incoming 
chart just below the prior chart. 
Build Chart 3 : Profit by affiliate and quarter 
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1. Switch to the Visualizer Tab 
2. Reset the analysis 
3.  Build new analysis 
Add ord_date_qtr to the Rows bucket 
Add affiliate to the Cols bucket 
Add profit to the Values bucket 
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4. Change legend position 
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