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This is a VIKTOR app that consists of four different pages, all doing something different with data.

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Data science

This is a VIKTOR app that consists of four different pages, all doing something different with data. On top of this page you can see the four different pages.

Use the free version or apply for a demo account to try the functionality yourself!

1. CSV to Matplotlib visualization

In the first page it is possible to upload a CSV file. If you want to use an example CSV file you can download one about the properties of different materials. After uploading and selecting a CSV file you can plot its data using Matplotlib.

2. Animations with Plotly

In the 2nd page is shown how easy it is to integrate VIKTOR with other libraries like Plotly. This example is created with just 3 lines of code!

3. Numpy interpolation

The third example is used to show how you can create interactive apps using VIKTOR. In this example you can pick samples from a sin function. Then use Numpy to estimate a interpolation with a given polynomial. Finally, you can check the error at a certain x value.

4. Heatmap using pandas

The last example shows how easy you can do data manipulation using VIKTOR. In this page we use a database that is randomly created with Numpy. Then Pandas is used to create a correlation matrix which is used to plot a heatmap.

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This is a VIKTOR app that consists of four different pages, all doing something different with data.

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