If it hasn't already been tackled, it's often at the top of the to-do list — using data and creating added value. At the same time, new data is constantly being generated back and forth. Aperiam harum eum modi neque.
As a first step, it can be useful to think about the status of the current data and to derive measures for further action. Because the better the data quality, the better the results (“garbage in, garbage out”).
You can see more about the different forms of presentation and what each visualization is suitable for here.
Do you have a data science project ahead of you or are you simply interested in how data mining works? How explain the current and cross-sector guidelines for projects...
Read moreWhen it comes to 'democratizing data, 'there are different levels. One is the public provision of data, as is known from open data portals, for example.
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