Graphical Techniques
Data
| Graphic Tutorials | These instructions have been updated for MS Excel 365 | ||||||
| Data | Rank | UK Shopping Centre | Region | Area (m2) | 2018 Annual Visitors (mil) | % by Area | |
| 1 | Westfield London | Greater London | 235,900 | 27.5 | 13.5 | ||
| 2 | intu Metrocentre | North East England | 192,900 | 21 | 11 | ||
| 3 | intu Trafford Centre | North West England | 188,000 | 31 | 10.8 | ||
| 4 | Westfield Stratford City | Greater London | 184,100 | 49.5 | 10.5 | ||
| 5 | Bluewater | South East England | 169,200 | 28 | 9.7 | ||
| 6 | Bullring Estate[a] | West Midlands | 163,000 | 36.9 | 9.3 | ||
| 7 | Manchester Arndale | North West England | 155,200 | 42 | 8.9 | ||
| 8 | intu Merry Hill | West Midlands | 155,200 | 18 | 8.9 | ||
| 9 | Liverpool One | North West England | 154,000 | 26 | 8.8 | ||
| 10 | intu Lakeside | South East England | 149,800 | 20 | 8.6 | ||
| Total Area | 1,747,300 | 100 | |||||
| Reference | |||||||
| Wikipedia. (2020, 4 August, at 23:57 UTC). List of shopping centres in the United Kingdom by size. https://en.wikipedia.org/wiki/List_of_shopping_centres_in_the_United_Kingdom_by_size | |||||||
| UK Shopping Centre | Fictitious Data | Fictitious Data | |||||
| Data | Westfield London | ||||||
| Month | 2018 Visitors (mil) | Quarter | Westfield London | Metrocentre | Trafford Centre | ||
| 1 | 2.0 | Q1 | 6.8 | 5.0 | 7.6 | ||
| 2 | 2.3 | Q2 | 8.3 | 6.5 | 6.3 | ||
| 3 | 2.5 | Q3 | 7.2 | 4.3 | 9.8 | ||
| 4 | 2.5 | Q4 | 5.2 | 5.2 | 7.3 | ||
| 5 | 3.6 | ||||||
| 6 | 2.2 | 27.5 | 21.0 | 31.0 | |||
| 7 | 2.6 | ||||||
| 8 | 1.9 | ||||||
| 9 | 2.7 | ||||||
| 10 | 1.7 | ||||||
| 11 | 2.3 | ||||||
| 12 | 1.2 | ||||||
| 27.5 |
Bar Chart
| Bar Chart | |||||||||||
| This will normally display one qualitative variable in terms of frequency | |||||||||||
| Data | UK Shopping Centre | Area (m2) | Step 1 | Select both columns | |||||||
| Westfield London | 235,900 | ||||||||||
| intu Metrocentre | 192,900 | ||||||||||
| intu Trafford Centre | 188,000 | ||||||||||
| Westfield Stratford City | 184,100 | ||||||||||
| Bluewater | 169,200 | ||||||||||
| Bullring Estate[a] | 163,000 | ||||||||||
| Manchester Arndale | 155,200 | ||||||||||
| intu Merry Hill | 155,200 | ||||||||||
| Liverpool One | 154,000 | ||||||||||
| intu Lakeside | 149,800 | ||||||||||
| Step 2 | Insert 2D Column or 2D Bar Chart | ||||||||||
| Either vertical or horizontal columns create a bar chart | |||||||||||
| Step 3 | Add the Axis Titles. The Chart Title is optional for this assignment. | ||||||||||
| We can see that the horizontal bar chart categories are easier to read. | |||||||||||
| a. Deleted Chart Title | |||||||||||
| b. Click on Chart border | |||||||||||
| c. Click on Chart Design (top menu) | |||||||||||
| d. Click on Add Char Element | |||||||||||
| e. Click Axis Titles | |||||||||||
| f. Primary Horizontal | |||||||||||
| Type Area m2 | |||||||||||
| g. Primary Horizontal | |||||||||||
| Type UK Shopping Centre | |||||||||||
| Things to know | |||||||||||
| The axis values begin at zero. |
Area (m2) Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800
Area (m2) Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800
UK Shopping Centre
Area m2
Area (m2) Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800
Area (m2) Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800
Stacked Bar Chart
| Stacked Bar Chart | |||||||||
| This will display more than one qualitative variable in terms of frequency | Fictitious Data | ||||||||
| Data | UK Shopping Centre | Quarter | Westfield London | Metrocentre | Trafford Centre | Step 1 | Select right three columns | ||
| Q1 | 6.8 | 5.0 | 7.6 | ||||||
| Q2 | 8.3 | 6.5 | 6.3 | ||||||
| Q3 | 7.2 | 4.3 | 9.8 | ||||||
| Q4 | 5.2 | 5.2 | 7.3 | ||||||
| 27.5 | 21.0 | 31.0 | |||||||
| Step 2 | Insert 2D Column or 2D Bar Chart | ||||||||
| Step 3 | Add the Axis Titles. The Chart Title is optional for this assignment. | ||||||||
| We can see that the horizontal bar chart categories are easier to read. | |||||||||
| a. Deleted Chart Title | |||||||||
| b. Click on Chart border | |||||||||
| c. Click on Chart Design (top menu) | |||||||||
| d. Click on Add Char Element | |||||||||
| e. Click Axis Titles | |||||||||
| f. Primary Horizontal | |||||||||
| Type Quarter (2028) | |||||||||
| g. Primary Horizontal | |||||||||
| Type Visitors (Millions) | |||||||||
| h. Add column labels | |||||||||
| Need to replace the 1, 2, 3, 4 | |||||||||
| Click on Chart border | |||||||||
| Click on Chart Design (top menu) | |||||||||
| Click on Select Data | |||||||||
| Click on Edit | |||||||||
| Select the first column (Quarter) | |||||||||
| OK, OK | |||||||||
| Things to know | |||||||||
| The axis values begin at zero. |
Westfield London 6.8 8.3000000000000007 7.2 5.2 Metrocentre 5 6.5 4.3 5.2 Trafford Centre 7.6 6.3 9.8000000000000007 7.3
Westfield London 6.8 8.3000000000000007 7.2 5.2 Metrocentre 5 6.5 4.3 5.2 Trafford Centre 7.6 6.3 9.8000000000000007 7.3
Quarter (2018)
Visitors (Millions)
Westfield London Q1 Q2 Q3 Q4 6.8 8.3000000000000007 7.2 5.2 Metrocentre Q1 Q2 Q3 Q4 5 6.5 4.3 5.2 Trafford Centre Q1 Q2 Q3 Q4 7.6 6.3 9.8000000000000007 7.3
Quarter (2018)
Visitors (Millions)
Line Chart
| Line Chart | ||||||
| This will display one quantitative variable in chronological order. | Fictitious Data | |||||
| Data | UK Shopping Centre | Month | 2018 Visitors (mil) | We may want to know if the visitor volume each month | ||
| Westfield London | 1 | 2.0 | ||||
| 2 | 2.3 | x | Month | |||
| 3 | 2.5 | y | Visitors per Month (Mil) | |||
| 4 | 2.5 | |||||
| 5 | 3.6 | Step 1 | Select right column | |||
| 6 | 2.2 | |||||
| 7 | 2.6 | |||||
| 8 | 1.9 | |||||
| 9 | 2.7 | |||||
| 10 | 1.7 | |||||
| 11 | 2.3 | |||||
| 12 | 1.2 | |||||
| 27.5 | ||||||
| Step 2 | Insert 2D Line | |||||
| Step 3 | Add the Axis Titles. The Chart Title is optional for this assignment. | |||||
| a. Deleted Chart Title | ||||||
| b. Click on Chart border | ||||||
| c. Click on Chart Design (top menu) | ||||||
| d. Click on Add Char Element | ||||||
| e. Click Axis Titles | ||||||
| f. Primary Horizontal | ||||||
| Type Month (Year 2018) | ||||||
| g. Primary Horizontal | ||||||
| Type Visitors (Millions) | ||||||
| Things to know | ||||||
| The axis values begin at zero. |
Month (Year 2018)
Visitors (Millions)
2018 Visitors (mil) 2 2.2999999999999998 2.5 2.5 3.6 2.2000000000000002 2.6 1.9 2.7 1.7 2.2999999999999998 1.2
2018 Visitors (mil) 2 2.2999999999999998 2.5 2.5 3.6 2.2000000000000002 2.6 1.9 2.7 1.7 2.2999999999999998 1.2
Pie Chart
| Pie Chart | |||||
| This will normally display one qualitative variable in terms of frequency or percentage | |||||
| Data | UK Shopping Centre | % by Area | Step 1 | Select both columns | |
| Westfield London | 13.5 | ||||
| intu Metrocentre | 11 | ||||
| intu Trafford Centre | 10.8 | ||||
| Westfield Stratford City | 10.5 | ||||
| Bluewater | 9.7 | ||||
| Bullring Estate[a] | 9.3 | ||||
| Manchester Arndale | 8.9 | ||||
| intu Merry Hill | 8.9 | ||||
| Liverpool One | 8.8 | ||||
| intu Lakeside | 8.6 | ||||
| Step 2 | Insert 2D Pie | ||||
| Step 3 | Add the Percents and Categories. The Chart Title is optional for this assignment. | ||||
| a. Deleted Chart Title | |||||
| b. Click on Chart border | |||||
| c. Click on Chart Design (top menu) | |||||
| d. Click on Add Char Element | |||||
| e. Data Labels | |||||
| Outside End | |||||
| f. Data Labels | |||||
| More Data Label Options | |||||
| Check Category Name | |||||
| g. Legend | |||||
| None |
% by Area Westfield London intu Metrocentre intu Trafford Centre Westfield Stra tford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 13.5 11 10.8 10.5 9.6999999999999993 9.3000000000000007 8.9 8.9 8.8000000000000007 8.6
% by Area Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 13.5 11 10.8 10.5 9.6999999999999993 9.3000000000000007 8.9 8.9 8.8000000000000007 8.6
% by Area
Westfield London intu Metrocentre intu Trafford Centre Westfield Stratford City Bluewater Bullring Estate[a ] Manchester Arndale intu Merry Hill Liverpool One intu Lakeside 13.5 11 10.8 10.5 9.6999999999999993 9.3000000000000007 8.9 8.9 8.8000000000000007 8.6
Scatterplot
| Scaterplot | ||||||
| This will display two quantitative variables (x,y) | ||||||
| Data | UK Shopping Centre | Area (m2) | 2018 Annual Visitors (mil) | We may want to know if the visitor volume is related to shopping area. | ||
| Westfield London | 235,900 | 27.5 | In Week 5, we could write a hypothesis question as such | |||
| intu Metrocentre | 192,900 | 21 | Is there a correlation between annual visitors based on shopping areas? | |||
| intu Trafford Centre | 188,000 | 31 | x | Area | ||
| Westfield Stratford City | 184,100 | 49.5 | y | Annual Visitors | ||
| Bluewater | 169,200 | 28 | ||||
| Bullring Estate[a] | 163,000 | 36.9 | Step 1 | Select both columns | ||
| Manchester Arndale | 155,200 | 42 | In Excel, the column on the left is x. | |||
| intu Merry Hill | 155,200 | 18 | ||||
| Liverpool One | 154,000 | 26 | ||||
| intu Lakeside | 149,800 | 20 | ||||
| Step 2 | Insert Scatter | |||||
| Step 3 | Add the Axis Titles. The Chart Title is optional for this assignment. | |||||
| a. Deleted Chart Title | ||||||
| b. Click on Chart border | ||||||
| c. Click on Chart Design (top menu) | ||||||
| d. Click on Add Char Element | ||||||
| e. Click Axis Titles | ||||||
| f. Primary Horizontal | ||||||
| Type Area m2 | ||||||
| g. Primary Horizontal | ||||||
| Type Annual Visitors (Millions) | ||||||
| Things to know | ||||||
| The axis values begin at zero. | ||||||
| Optional | h. You may add a Trendline | |||||
| Click chart border | ||||||
| Right click on any data dot | ||||||
| Add Trendline | ||||||
| Trendline Option - Linear | ||||||
| Check Display Equation | ||||||
| Check Display R-squared | ||||||
| The equation is similar to what was learned in Algegra, y = mx + b | ||||||
| m = 2E-05 | ||||||
| This is scientific notation for m = 2x10-5 or .00005 | ||||||
| b = 26.066 | ||||||
| Thr R-squared measures the data fit. As we can see, the slope is nearly zero as well as the R-squared. |
2018 Annual Visitors (mil) 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800 27.5 21 31 49.5 28 36.9 42 18 26 20
2018 Annual Visitors (mil) 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800 27.5 21 31 49.5 28 36.9 42 18 26 20
2018 Annual Visitors (mil) 235900 192900 188000 184100 169200 163000 155200 155200 154000 149800 27.5 21 31 49.5 28 36.9 42 18 26 20
Area m2
Annual Visitors (millions)
2018 Annual Visitors (mil)
235900 192900 188000 184100 169200 163000 155200 155200 154000 149800 27.5 21 31 49.5 28 36.9 42 18 26 20
Area m2
Annual Visitors (millions)
Pivot Table
| Pivot Table | |||||||
| This will create a table of counts from a large amount of nominal-level data. | Fictitious Data | ||||||
| Guest Opin | Step 1 | Click on Insert | |||||
| Greatly Not Liked | |||||||
| Indifferent | |||||||
| Not Liked | |||||||
| Liked | |||||||
| Indifferent | Step 2 | Click anywhere in the data | |||||
| Indifferent | |||||||
| Not Liked | Step 3 | Click on Pivot Table | |||||
| Greatly Liked | Either one is fine but the Recommended has fewer steps | ||||||
| Liked | |||||||
| Liked | |||||||
| Not Liked | |||||||
| Liked | |||||||
| Liked | |||||||
| Indifferent | |||||||
| Not Liked | |||||||
| Greatly Not Liked | Step 4 | Click OK | It will create a new sheet with the pivot table | ||||
| Greatly Not Liked | |||||||
| Not Liked | |||||||
| Not Liked | |||||||
| Not Liked | |||||||
| Greatly Liked | |||||||
| Indifferent | |||||||
| Indifferent | |||||||
| Indifferent | |||||||
| Greatly Not Liked | |||||||
| Step 5 | |||||||
| Click in the box Guest Opin | |||||||
| Drag Guest Opin to the Values box | |||||||
| The table is automatically crdated. | |||||||
| You may "x" to close the right window |
Box Plot
| Box Plot | ||||||||||||
| A box plot is useful for detecting outliers in the data. This is also called the Five Number Summary | ||||||||||||
| UK Shopping Centre | Area (m2) | Step 1 | Select the numeric data | |||||||||
| Westfield London | 235,900 | |||||||||||
| intu Metrocentre | 192,900 | |||||||||||
| intu Trafford Centre | 188,000 | |||||||||||
| Westfield Stratford City | 184,100 | |||||||||||
| Bluewater | 169,200 | |||||||||||
| Bullring Estate[a] | 163,000 | |||||||||||
| Manchester Arndale | 155,200 | |||||||||||
| intu Merry Hill | 155,200 | |||||||||||
| Liverpool One | 154,000 | |||||||||||
| intu Lakeside | 149,800 | |||||||||||
| Minimum | 149,800 | |||||||||||
| Quartile 1 | 155200 | |||||||||||
| Median | 166,100 | |||||||||||
| Quartile 3 | 187,025 | |||||||||||
| Maximum | 235,900 | Step 2 | Box and Whisker | |||||||||
| Step 3 | Add the Axis Titles. The Chart Title is optional for this assignment. | |||||||||||
| a. Deleted Chart Title | ||||||||||||
| b. Click on Chart border | ||||||||||||
| c. Click on Chart Design (top menu) | ||||||||||||
| d. Click on Add Char Element | ||||||||||||
| e. Click Axis Titles | ||||||||||||
| f. Primary Horizontal | ||||||||||||
| Type UK Shopping Centre | ||||||||||||
| g. Primary Horizontal | ||||||||||||
| Type Annual Visitors (Millions) | ||||||||||||
| Things to know | ||||||||||||
| The axis values begin at zero. | Five Number Summary | |||||||||||
| The shading is often dark and hides the markings | Minimum | 149800 | ||||||||||
| Quartile 1 | 155200 | |||||||||||
| Median | 166100 | |||||||||||
| Quartile 3 | 187025 | |||||||||||
| Maximum | 235900 |