quinta-feira, 25 de março de 2021

Preparing for a circular economy…..

Annual reports are a very good example for how companies present themselves to the public and future investors. If one would like to give a fast overview and transparent look on a company most would follow the proverb “A picture tells more than thousand words” and use graphical presentation in abundance to give deeper insights for the interested reader. Or in other words inform than entertain, especially in our growing information economy. Thus we could expect annual reports with lots of charts and detailed information. But what we can see over the last years is a revival of textual information and a new puritanism when it comes to graphical presentation. Besides of the low number of charts we can observe mainly three types of charts like circles, columns and lines and as textual type a lot of low-level tables. Especially circles and their subforms like donuts are overwhelmingly used for almost every type of content. Could it be, that better reading and faster understanding (i.e. transparency) isn’t one the principal goals of companies in informing their public?

Basic ingredients for the graphical presentation of information in this annual report. (https://www.huhtamaki.com/en/investors/)

What informs better in the above chart? Donut or bars and lines?

This could serve as good base data for nice time series charts. 

"Big numbers" but few information

The Board consists of seven members

How long will it take for the reader to calculate the variation by segment between 2019 and 2020?

For graphical timely comparisons bar charts are much better.

If packed in one instead of two tables reading and comparisons could be much easier.

"Themes" are about circular economy, but as the graph shows, it's still linear..... 


quinta-feira, 18 de fevereiro de 2021

Somente Gráficos e sem Comentários

Em seguida uma coleção de gráficos do CCR 2017 - Relatório Anual e  de Sustentabilidade. Sem muito "ruído", mas com o potencial de melhorias....

segunda-feira, 18 de janeiro de 2021

Covid-19 data visualization III

Unfortunately the theme of visualization of Covid-19-Data continues with the ongoing pandemic. Most of us never could imagine that this virus within his almost 1 year of existence could have infected more than 90 million people worldwide and caused the loss of more than 2 million lifes on earth.

If we see the numbers in charts we rarely can imagine the impact of the disease on the different levels like continental, regional and per country.

What can we see is that certain charts changed their layouts by time. For example the German overview chart received a new item on “vacine” due to the fact that there are now several vacines available and the number of infections should decrease within a certain space of time.

When looking at the curves of regional and country based overviews we can observe that it is almost impossible to compare their magnitudes as they apply different scales of measure.

An important step in getting insights is comparing data. Comparing could be done by putting charts of different countries or regions into one overall chart. When we do this, as can be seen, correct scaling becomes crucial.

Without scaling we can follow the curves and get an idea of the trends over time, but fails to compare one with each other. But we should do this, because without comparing we won’t formulate important questions like ”why are incidences in Asia compared to the Americas and Europe are so low?” and start investigating the reasons for those facts.


the curves tell a trend - but not a comparable magnitude

unscaled multiple charts - good for an overview, but not comparable

unscaled multiple charts - good for an overview, but not comparable

by introducing scaling lines we get an idea of the true relations

in order to avoid the impact of exceptions, we can give them a special signature... 
and present the data in a more legible way presenting a more realistic view....