Data Exploration
with Visplore
Knowing your data is the basis for efficient and successful data science.
Explore and understand massive data in minutes – interactively!
Don’t spend much time building and tuning charts from scratch. Visplore’s pre-configured cockpits get you way further in no time.
Don’t guess which variables will be relevant. Let Visplore show you. And jump seamlessly between overview and details.
Don’t lose relevant details by pre-aggregation or filtering. Understand your data as it really is.
Don’t waste time for tedious cleaning of outliers, gaps, and feature engineering – do it right within the visualization and see the effect within seconds.
Use the right tool for each purpose. Do scripting in notebooks and data exploration in Visplore, exchanging data in both directions in just one line of code.
Data exploration is not only about discovering patterns, clusters, correlations, … It’s about understanding what all this means for your data science project. This requires domain expertise.
prepare some charts and present them to domain experts. Typically, this leads to new questions (“can we also look at variable X?”, “what is that outlier / cluster?”, “can we filter that part of the data?”, etc.) which you take home to prepare more charts and meet again two weeks later.
That’s highly inefficient! It makes the exploration phase take way too long, and often still leads to an incomplete understanding about what’s really relevant!
answer all these ad-hoc questions on the fly! Just as you sit together with the domain experts. Prepare your meeting by storing Visplore analyses. During the meeting, you are way more flexible to answer all these questions as soon as they are asked! Filtering, comparing, labeling, ranking, explaining, transforming, exporting and way more – all it takes is a few clicks and no waiting even on massive data.
The result: You save much time and shorten the phase for data understanding dramatically while improving the relevance of results and the satisfaction of all stakeholders.