Infographics is the use of  images/icons to represent your data. They help to capture the users attention and also give a creative feel to your data.Infographics in Excel Charts make it visually appealing .

For e.g : We have a data based on an employee engagement survey.

The employee engagement % values for men and women are shown.

The chart is good. It gives you the required information. But imagine a dashboard wherein you have multiple column charts and bar charts. This chart would be just another chart to the mix.

So to enhance your data representation you need to apply infographics.

Now what is infographics. It is showing of information via images.

So the same chart above using infographics is shown below.

The image fill amount is determined by the respective % values.

As the percent changes the image fill for the respective image as changes. See below

Download Template _Infographics_Employee Engagement

In a particular group of option buttons , only one of the option can be selected.

For E.g :  In Gender , we can select either Male or Female.

In our example, we are using the employee headcount for a year.

Upon selecting the required quarter, the data for that particular quarter is highlighted.

Download Chart_Option Button

When we select All option, all the quarters are shown in the same colour.

A waterfall chart is generally used to display how the starting position and an ending point which are connected by a series of values (either increases or decreases). By a series of changes from the start value and through all the connecting intermediate increasing/decreasing values we arrive at the end point.

A waterfall chart is also called a bridge chart since the floating in between columns between the start value and the end value form a pseudo bridge.

We display the employee headcount in a monthly basis (increase /decrease) basis the new joinee and resignees in a month.

We start with the opening count of the year. The opening count are those employees who are on active payroll of the company at the start of the assessment year.

For E.g : Assessment year ( 01 Jan 2016 to 31 Dec 2016)

The opening count for 01 Jan 2016 will be the closing count as on 31 Dec 2015.

Then we show the net employee count for each month basis the employee joining or leaving . This is shown till Dec and then we display the closing count for Dec 2016.

In below example the opening count at the start of the year is 500. Throughout the year in each month we have certain number of joinees and resignees. Due to the same we may have an increase or a dercrease in the net employee count . At the end of the year the closing employee count is 509.We can see that in Jan there was a employee count decrease of 2 . So it means number of employees reduced from 500 to 498.

In Feb then there was a increase of 4. So employee count increased from 498 to 502. Continuing the calculations at the end of the year we have a closing count of 509.

Opening Count + Monthly Increase/Decrease) = Closing Count

500 + (-2+4+4+3+2+3-3-1-1-4-1+5) = 509

Download Waterfall Chart – Employee Headcount

Our data consists the age group distribution of employees (bifurcated  across males and females).

The data is as under.

Our resultant chart is as below.

Download Template_Population Chart

There are two variants of this chart

• Highlighting the year with maximum attrition
• Highlighting the selected year.

The user can adopt this chart and create more variations like years having above attrition highlighted or separating a yearly attrition across departments /locations and then highlighting the department/location with highest attrition.

Download-File-Line-Attrition

The user will select a particular year from a combo box and the select Joinee and/or Resignee from checkboxes.

A column chart will display the respective values for that year and criteria.

Note: If you do no select any criteria ( Joinee or resignee), then you will get a message asking you to select a criteria.

Download File

Dashboard Series 1 -Joinee_Resignee_template

Bullet Charts is a variation of the bar chart developed by Stephen Few.

They are emerging as a strong alternative to Gauge Charts. It is used for analyzing whether a parameter score is poor, average, good or excellent. One can use it for determine employee engagement score, actual vs target, HR audit score etc.

For e.g

• 0 – 30% = Poor
• 31% -50% = Average
• 51%-70% = Good
• 71%-100% = Excellent

One must base the scales depending on requirement.

If you are measuring a performance score then a 75 % score is excellent. However if you measuring employee attrition then a score of 75% is very negative. Here your scales will be reversed where 0-30% will be a fair score. Therefore user must determine how the parameter would be measured.

Bullet charts in addition to the scales have an actual achievement and a target parameter associated with it.

However in our attrition chart we are using only the actual parameter to see in which scale our attrition percent lies.

Download -Bullet Chart

In our example, we have the data for attrition percent for certain years.

The chart has a combo box which has all our available years in a drop down.

In our Gauge chart we have three sections denoting three levels of attrition, Low, Moderate, and High.

Upon selecting the required year, the attrition % for that year is denoted by an indicator. The indicator points to the appropriate section of the Gauge Chart.

Download Chart Attrition_Gauge Chart

A Butterfly Chart (also called a Tornado chart) is used to compare two sets of data that have similar metrics. In this chart two bar charts are displayed side by side to analyse the difference between two data series and the data categories are listed vertically instead of the standard horizontal presentation.

It is called as butterfly since there is a gap in the centre which denotes the categories and the bars on either side resemble the wings of a butterfly.

As the bars on either side vary in length due to data values of the corresponding data series, it is also called Tornado chart.

The main use of the butterfly chart is comparison of two data sets sharing the same parameters.

e.g

• Population Chart ( males vs females)
• Survey Results (Yes vs No)
• Product Sales ( Location A vs Location B)
• Department Headcount ( Joinee vs Resignee)

In our example we are using the Butterfly Chart to denote the joiners / resignees across department.

Download Template Butterfly or Tornado Chart

In our example we have the actual and budget values for a year. A positive scenario is when we are within budget and a negative scenario is when we are above budget.

• Positive scenario: Green
• Negative scenario: Red
• Budget values : Light blue.

This chart can be used for situations like sales vs target, last month values vs current month values.

Download Chart_Actual_Budget