The combination bar-line chart below compares public transportation systems across 5 major cities. The bar chart shows the number of miles of track and the line chart shows the yearly ridership level.
New York has the most miles of track and Beijing has the highest ridership. The axes were adjusted to minimize the amount the columns and line series overlapped. Additionally, the number of stations within each transportation system can be found as a row of annotated data below the group descriptions. We decided that adding this information to the plot area is not needed to convey the primary insights and could over-complicate the graph. Annotated data can be helpful in cases like this where auxiliary figures are helpful for some readers which will easily find them upon a closer look.
Chart comparing miles of track and ridership across 5 major cities
This chart was created using Aploris on a Mac (OS X) with Office 2016.
The stacked bar chart below shows a forecast of the number of worldwide emails sent on a daily basis from 2014 and 2018. The segments in the stack show the break down of business versus consumer emails.
Forecast of worldwide business and consumer emails sent on a daily basis between 2014 and 2018
The data column to the right of the chart helps the reader understand that business emails, growing at 6% CAGR, is the primary driver of total email growth. This is likely due to consumer preference toward other forms of communication including social media and instant messaging. A data row below the chart is used to show the number of worldwide email users. The breakdown of business and consumer email users was not available.
The data row allows to show data that is related to the main data plotted in the chart area without the complexity of additional visuals and axis scales. With Aploris the numbers are part of the chart data and may be part of calculations. The values are automatically updated and aligned with the categories displayed in the chart.
The bar-mekko chart below efficiently shows Internet penetration in different geographies around the world. The height of each segment is the penetration percentage; the width is the size of the population. Therefore, the area of each segment allows the reader to quickly compare the number of active internet users in different geographies.
The bar-mekko is similar to the Marimekko or mekko chart except it has a variable height. It is also effective when used to compare profitability of value chains and business segments.
Bar-mekko chart examining global Internet penetration