The last step in research is showing the data by presenting it or reporting about the results found in the data. There are lots of options on how to show or report the data. The most used ones are reports and infographics. In reports the data story is told in words and the results are shown with tables and graphs to support the conclusions and advise in the reports. In infographics the data is shown in graphs, tables, figures and images/pictures with short texts to explain what is shown.
Data can be told in words, but needs to be shown too. This can be done by presenting the data in Graphs and tables. The choice to use a graph or a table is up to the writer of the report, the one making the presentation slides and/ or producer of infographic or video. There are rules about which to use when, but these rules can be broken if the story needs another presentation of the data. The general rule: lots of data use a graph when presenting the data. and not much data use a table.
Like I told lots of my old colleagues and the ones who have followed a Excel workshop or course with me: Excel is your best friend when analyzing and presenting the data. Excel is easy to use and almost everybody has a Microsoft package. A free alternative is Google sheets. Google sheets works the same way as Excel, but is a bit limited. In Excel it is easy to make all kinds of graphs, tables and there are limited options to make infographics. The best DataViz advise is start in Excel by cleaning the data, analyzing the data and making the first graphs and tables to present. And from there the presenter can choose other options to make the DataViz more accessible and beautiful.
In each acquired data set there is a story. This story can be found by cleaning and analyzing the data. Not all stories found in the data set is relevant and needs to be told. Be very picky, that is the best way to tell a data story that will stick. The story is best told by supporting words with numbers, graphs and tables. Not only tell, but show what is told. Visuals stick better than words.
There are all kinds of tools to help people tell the story in the data. The one I like most is Tableau. Tableau can be connected to Excel. When I change the data in Excel, the data in Tableau changes after I click update the data in Tableau. This makes it easy when data is acquired periodically. Tableau is also a user friendly software and there is a free version of Tableau.
DataViz can be a graph, a number or a table. This kind of DataViz tells a short story about part of the data collected and/or analyzed. DataViz can also be storytelling with data when words supported by a series of graphs, numbers and tables are presented to tell the story in the data set. Storytelling with data is necessary to interpret the data, to give meaning to the data, to give advice and to make policy based on the data.
An infographic is a DataViz that tells a story with data. It is most of the time the best way to tell a data story. An infographic is accessible for almost everybody because pictograms, numbers, graphs, tables and limited text is used. Therefor infographics can also be used to tell the data story to people with limited knowledge of the Dutch language in The Netherlands. A report with lots of text can be a challenge for people with little time and/ or low literacy (laaggeletterheid). Another benefit of infographics is that visuals stick better in the mind of people than written reports without visuals or presentations without visuals. Infographics when made well can be easier to understand than reports and also takes less time to get to know the data story told. A few disadvantages of infographics are that infographics don't tell all the stories in the data set and infographics frame the data in the DataViz on a way words don't do in a report. In the blogs 'Infographic' and 'Infographic the way to visualize a lot of information on 1 sheet' I show how infographics are made.
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