Free Webinar
Customized Tabs & Graphs
From raw numbers to visual insights that speak for themselves
10/3/2026 at 2.30 PM
📈 To move from numbers to a visual narrative that adds real value to reports, presentations and strategic decision-making, Statistics for Data Analysis also provides powerful Data Visualization tools.
Seeing data is very different from truly understanding it – and it can transform the way you interpret it.
📊 Discover how to build customised tables and charts (histograms, bar charts, pie charts and line graphs) with Statistics for Data Analysis, using a current topic and a real dataset: paper and plastic recycling across different European countries.
This webinar is perfect for you if:
About
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you want to move from raw data to tailored visualisations that help you uncover insights relevant to your work and research.
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You work with numerous statistical units and variables and need to communicate effectively what they reveal.
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You would like to customise individual elements of your charts without wasting time on trial and error.
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You work in environmental research or for governmental organisations and understand how important it is to present data correctly in order to support better decision-making.
Why mastering charts and tables in Statistics for Data Analysis is essential
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It is estimated that around 65% of the global population are predominantly visual learners.
This means that most people process and retain information more effectively when it is presented through images, diagrams or charts rather than written text.
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A customised visualisation (a user-specific dashboard) increases the relevance of the data. When users see only what is relevant to their purpose, the likelihood of misinterpretation decreases dramatically.
The benefits of engaging with experts
Together, we will explore how to:
✅ Design a table
✅ Customise the data within a table
✅ Go from table to chart
✅ Use the Chart Builder and compare charts
BONUS: you'll have the possibility to receive specific answers from experts with in-depth knowledge of Statistics for Data Analysis.
Sign up for the webinar and enhance your analyses
Complete the form to reserve your place.