EXCEL VISUALIZATION

profilehelpmeout11
20170908015223excel_data_analysis_tutorial.1.pdf

Data Analysis with Excel

188

ANALYZE

Some of the ANALYZE Ribbon commands are-

 Set PivotTable Options

 Value Field Settings for the selected Field

 Expand Field

 Collapse Field

 Insert Slicer

 Insert Timeline

 Refresh Data

 Change Data Source

 Move PivotTable

 Solve Order (If there are more calculations)

 PivotChart

DESIGN

Some of the DESIGN Ribbon commands are-

 PivotTable Layout

o Options for Sub Totals

o Options for Grand Totals

o Report Layout Forms

o Options for Blank Rows

 PivotTable Style Options

 PivotTable Styles

Expanding and Collapsing Field

You can either expand or collapse all items of a selected field in two ways-

 By selecting the symbol or to the left of the selected field.

 By clicking the Expand Field or Collapse Field on the ANALYZE Ribbon.

By selecting the Expand symbol or Collapse symbol to the left of the

selected field

 Select the cell containing East in the PivotTable.

 Click on the Collapse symbol to the left of East.

Data Analysis with Excel

189

All the items under East will be collapsed. The Collapse symbol to the left of East

changes to the Expand symbol .

You can observe that only the items below East are collapsed. The rest of the PivotTable

items are as they are.

Click the Expand symbol to the left of East. All the items below East will be displayed.

Using ANALYZE on the Ribbon-

You can collapse or expand all items in the PivotTable at once with the Expand Field and

Collapse Field commands on the Ribbon.

Data Analysis with Excel

190

 Click the cell containing East in the PivotTable.

 Click the ANALYZE tab on the Ribbon.

 Click Collapse Field in the Active Field group.

All the items of the field East in the PivotTable will collapse.

Click Expand Field in the Active Field group.

All the items will be displayed.

Data Analysis with Excel

191

Report Presentation Styles

You can choose the presentation style for your PivotTable as you would be including it as

a report. Select a style that fits into the rest of your presentation or report. However, do

not get over bored with the styles because a report that gives an impact in showing the

results is always better than a colorful one, which does not highlight the important data

points.

 Click East in the PivotTable.

 Click ANALYZE.

 Click Field Settings in Active Field group. The Field Settings dialog box appears.

 Click the Layout & Print tab.

 Check Insert blank line after each item label.

Blank rows will be displayed after each value of the Region field.

You can insert blank rows from the DESIGN tab also.

Data Analysis with Excel

192

 Click the DESIGN tab.

 Click Report Layout in Layout group.

 Select Show in Outline Form in the drop-down list.

Data Analysis with Excel

193

 Hover the mouse over the PivotTable Styles. A preview of the style on which the mouse

is placed will appear.

 Select the Style that suits your report.

PivotTable in Outline Form with the selected Style will be displayed.

Data Analysis with Excel

194

Timeline in PivotTables

To understand how to use Timeline, consider the following example wherein the sales data

of various items is given salesperson wise and location wise. There are total 1891 rows of

data.

Create a PivotTable from this Range with-

 Location and Salesperson in Rows in that order

 Product in Columns

 Sum of Amount in Summarizing values

Data Analysis with Excel

195

 Click the PivotTable.

 Click INSERT tab.

 Click Timeline in Filters group. The Insert Timelines appears.

Click Date and click OK. The Timeline dialog box appears and the Timeline Tools appear

on the Ribbon.

Data Analysis with Excel

196

 In Timeline dialog box, select MONTHS.

 From the drop-down list select QUARTERS.

 Click 2014 Q2.

 Keep the Shift key pressed and drag to 2014 Q4.

Timeline is selected to Q2 – Q4 2014.

PivotTable is filtered to this Timeline.

Data Analysis with Excel

197

You can display your data analysis reports in a number of ways in Excel. However, if your

data analysis results can be visualized as charts that highlight the notable points in the

data, your audience can quickly grasp what you want to project in the data. It also leaves

a good impact on your presentation style.

In this chapter, you will get to know how to use Excel charts and Excel formatting features

on charts that enable you to present your data analysis results with emphasis.

Visualizing Data with Charts

In Excel, charts are used to make a graphical representation of any set of data. A chart is

a visual representation of the data, in which the data is represented by symbols such as

bars in a Bar Chart or lines in a Line Chart. Excel provides you with many chart types and

you can choose one that suits your data or you can use the Excel Recommended Charts

option to view charts customized to your data and select one of those.

Refer to the Tutorial Excel Charts for more information on chart types.

In this chapter, you will understand the different techniques that you can use with the

Excel charts to highlight your data analysis results more effectively.

Creating Combination Charts

Suppose you have the target and actual profits for the fiscal year 2015-2016 that you

obtained from different regions.

16. Data Visualization

Data Analysis with Excel

198

We will create a Clustered Column Chart for these results.

As you observe, it is difficult to visualize the comparison quickly between the targets and

actual in this chart. It does not give a true impact on your results.

A better way of distinguishing two types of data to compare the values is by using

Combination Charts. In Excel 2013 and versions above, you can use Combo charts for the

same purpose.

Use Vertical Columns for the target values and a Line with Markers for the actual values.

 Click the DESIGN tab under the CHART TOOLS tab on the Ribbon

 Click Change Chart Type in the Type group. The Change Chart Type dialog box

appears.

Data Analysis with Excel

199

 Click Combo.

 Change the Chart Type for the series Actual to Line with Markers. The preview appears

under Custom Combination.

 Click OK.

Data Analysis with Excel

200

Your Customized Combination Chart will be displayed.

Data Analysis with Excel

201

As you observe in the chart, the Target values are in Columns and the Actual values are

marked along the line. The data visualization has become better as it also shows you the

trend of your results.

However, this type of representation does not work well when the data ranges of your two

data values vary significantly.

Creating a Combo Chart with Secondary Axis

Suppose you have the data on the number of units of your product that was shipped and

the actual profits for the fiscal year 2015-2016 that you obtained from different regions.

If you use the same combination chart as before, you will get the following-

In the chart, the data of No. of Units is not visible as the data ranges are varying

significantly.

In such cases, you can create a combination chart with secondary axis, so that the primary

axis displays one range and the secondary axis displays the other.

Data Analysis with Excel

202

 Click the INSERT tab.

 Click Combo in Charts group.

 Click Create Custom Combo Chart from the drop-down list.

The Insert Chart dialog box appears with Combo highlighted.

For Chart Type, choose-

 Line with Markers for the Series No. of Units

 Clustered Column for the Series Actual Profits

 Check the Box Secondary Axis to the right of the Series No. of Units and click OK.

A preview of your chart appears under Custom Combination.

Data Analysis with Excel

203

Your Combo chart appears with Secondary Axis.

Data Analysis with Excel

204

You can observe the values for Actual Profits on the primary axis and the values for No. of

Units on the secondary axis.

A significant observation in the above chart is for Quarter 3 where No. of Units sold is

more, but the Actual Profits made are less. This could probably be assigned to the

promotion costs that were incurred to increase sales. The situation is improved in Quarter

4, with a slight decrease in sales and a significant rise in the Actual Profits made.

Discriminating Series and Category Axis

Suppose you want to project the Actual Profits made in Years 2013-2016.

Create a clustered column for this data.

As you observe, the data visualization is not effective as the years are not displayed. You

can overcome this by changing year to category.

Data Analysis with Excel

205

Remove the header year in the data range.

Now, year is considered as a category and not a series. Your chart looks as follows-

Chart Elements and Chart Styles

Chart Elements give more descriptions to your charts, thus helping visualizing your data

more meaningfully.

 Click the Chart

Three buttons appear next to the upper-right corner of the chart-

 Chart Elements

 Chart Styles

 Chart Filters

For a detailed explanation of these, refer to Excel Charts tutorial.

Data Analysis with Excel

206

 Click Chart Elements.

 Click Data Labels.

 Click Chart Styles

 Select a Style and Color that suits your data.

Data Analysis with Excel

207

You can use Trendline to graphically display trends in data. You can extend a Trendline in

a chart beyond the actual data to predict future values.

Data Labels

Excel 2013 and later versions provide you with various options to display Data Labels. You

can choose one Data Label, format it as you like, and then use Clone Current Label to copy

the formatting to the rest of the Data Labels in the chart.

The Data Labels in a chart can have effects, varying shapes and sizes.

It is also possible to display the content of a cell as part of the Data Label with Insert Data

Label Field.

Data Analysis with Excel

208

Quick Layout

You can use Quick Layout to change the overall layout of the chart quickly by choosing

one of the predefined layout options.

 Click the chart

 Click the DESIGN tab under CHART TOOLS.

 Click Quick Layout.

Different possible layouts will be displayed. As you move on the layout options, the chart

layout changes to that particular option.

Select the layout you like. The chart will be displayed with the chosen layout.

Using Pictures in Column Charts

You can create more emphasis on your data presentation by using a picture in place of

columns.

 Click on a Column on the Column Chart

 In the Format Data Series, click on Fill

 Select Picture

 Under Insert picture from, provide the filename or optionally clipboard if you had copied an image earlier.

Data Analysis with Excel

209

The picture you have chosen will appear in place of columns in the chart.

Data Analysis with Excel

210

Band Chart

You might have to present customer survey results of a product from different regions.

Band Chart is suitable for this purpose. A Band Chart is a Line Chart with an added shaded

area to display the upper and lower boundaries of groups of data.

Suppose your customer survey results from the east and west regions, month wise are -

Here, in the data < 50% is Low, 50% - 80% is Medium and > 80% is High.

With Band Chart, you can display your survey results as follows-

Data Analysis with Excel

211

Create a Line Chart from your data.

Change the chart type to-

 East and West Series to Line with Markers

 Low, Medium and High Series to Stacked Column

Data Analysis with Excel

212

Your chart looks as follows.

Data Analysis with Excel

213

 Click on one of the columns.

 Change gap width to 0% in Format Data Series

You will get Bands instead of columns.

To make the chart more presentable-

 Add Chart Title

 Adjust Vertical Axis range

 Change the colors of the bands to Green-Yellow-Red

 Add Labels to bands

Data Analysis with Excel

214

The final result is the Band Chart with the defined boundaries and the survey results

represented across the bands. One can quickly and clearly make out from the chart that

while the survey results for the region West are satisfactory, those for the region East

have a decline in the last quarter and need attention.

Thermometer Chart

When you have to represent a target value and an actual value, you can easily create a

Thermometer Chart in Excel that emphatically shows these values.

With Thermometer chart, you can display your data as follows-

Data Analysis with Excel

215

Arrange your data as shown below-

 Select the data.

 Create a Clustered Column chart.

As you observe, the right side Column is Target.

 Click on a Column in the chart

 Click on Switch Row/Column on the Ribbon

Data Analysis with Excel

216

 Right click on the Target Column

 Click on Format Data Series

 Click on Secondary Axis

As you observe the Primary Axis and Secondary Axis have different ranges.

 Right click the Primary Axis.

 In the Format Axis options, under Bounds, type 0 for Minimum and 1 for Maximum.

 Repeat the same for Secondary Axis.

Data Analysis with Excel

217

Both Primary Axis and Secondary Axis will be set to 0% - 100%. The Target Column hides

the Actual Column.

 Right click the visible column (Target)

 In the Format Data Series, select

o No fill for FILL

o Solid line for BORDER

o Blue for Color

 In Chart Elements, unselect

o Axis -> Primary Horizontal

o Axis -> Secondary Vertical

o Gridlines

o Chart Title

 In the chart, right click on Primary Vertical Axis

 In Format Axis options, click on TICK MARKS

Data Analysis with Excel

218

 For Major type, select Inside

 Right click on the Chart Area.

 In the Format Chart Area options, select

o No fill for FILL

o No line for BORDER

Resize the chart area, to get the shape of a thermometer.

Data Analysis with Excel

219

You got your thermometer chart, with the actual value as against target value being

shown. You can make this thermometer chart more impressive with some formatting.

 Insert a rectangle shape superimposing the blue rectangular part in the chart.

 In Format Shape options, select-

o Gradient fill for FILL

o Linear for Type

o 1800 for Angle

 Set the Gradient stops at 0%, 50% and 100%.

 For the Gradient stops at 0% and 100%, choose the color black.

 For the Gradient stop at 50%, choose the color white.

Data Analysis with Excel

220

 Insert an oval shape at the bottom.

 Format shape with same options.

The result is the Thermometer Chart that we started with.

Data Analysis with Excel

221

Gantt Chart

A Gantt chart is a chart in which a series of horizontal lines shows the amount of work

done in certain periods of time in relation to the amount of work planned for those periods.

In Excel, you can create a Gantt chart by customizing a Stacked Bar chart type so that it

depicts tasks, task duration, and hierarchy. An Excel Gantt chart typically uses days as

the unit of time along the horizontal axis.

Consider the following data where the column-

 Task represents the Tasks in the project

 Start represents number of days from the Start Date of the project

 Duration represents the duration of the Task

Note that Start of any Task is Start of previous Task + Duration. This is the case when the

Tasks are in hierarchy.

 Select the data.

 Create Stacked Bar Chart.

Data Analysis with Excel

222

 Right-click on Start Series.

 In Format Data Series options, select No fill.

 Right-click on Categories Axis.

 In Format Axis options, select Categories in reverse order.

Data Analysis with Excel

223

 In Chart Elements, deselect

o Legend

o Gridlines

 Format the Horizontal Axis to

o Adjust the range

o Major Tick Marks at 5 day intervals

o Minor Tick Marks at 1 day intervals

 Format Data Series to make it look impressive

 Give a Chart Title

Data Analysis with Excel

224

Waterfall Chart

Waterfall Chart is one of the most popular visualization tools used in small and large

businesses. Waterfall charts are ideal for showing how you have arrived at a net value such as net income, by breaking down the cumulative effect of positive and negative

contributions.

Excel 2016 provides Waterfall Chart type. If you are using earlier versions of Excel, you

can still create a Waterfall Chart using Stacked Column Chart.

The columns are color coded so that you can quickly tell positive from negative numbers.

The initial and the final value columns start on the horizontal axis, while the intermediate

values are floating columns. Because of this look, Waterfall Charts are also called Bridge

Charts.

Consider the following data.

 Prepare the data for Waterfall Chart

 Ensure the column Net Cash Flow is to the left of the Months Column (This is because

you will not include this column while creating the chart)

 Add 2 columns – Increase and Decrease for positive and negative cash flows

respectively

 Add a column Start - the first column in the chart with the start value in the Net Cash

Flow

Data Analysis with Excel

225

 Add a column End - the last column in the chart with the end value in the Net Cash

Flow

 Add a column Float – that supports the intermediate columns

 Compute the values for these columns as follows

 In the Float column, insert a row in the beginning and at the end. Place n arbitrary

value 50000. This just to have some space to the left and right of the chart

The data will be as follows.

Data Analysis with Excel

226

 Select the cells C2:H18 (Exclude Net Cash Flow column)

 Create Stacked Column Chart

 Right click on the Float Series.