We built this presentation extension of our open-source charting tool ipyvizzu (https://github.com/vizzuhq/ipyvizzu) because we learnt from the interviews and feedback from data scientists that they struggle with presenting and sharing the results of their analysis with less tech savvy people.
Hey HN,
CodeViz Stat is an open-source tool that automatically visualizes the contents of a software project in VSCode. It's built as an example of what our open-source library Vizzu (https://github.com/vizzuhq/vizzu-lib) can be used for.
It's convenient to get a quick overview of your project and then dig deeper into a subfolder while keeping the context. It also comes in handy when you want to show your code to a new developer.
Hey HN,
We built this little open-source tool that automatically visualizes the contents of a software project in Visual Studio Code. We think it's a good example of what our open-source viz library Vizzu (https://github.com/vizzuhq/vizzu-lib) can be used for.
Key features of CodeViz Stat:
- Shows file count and line count in total and by programming languages.
- Allows navigation within the project folders, filtering the visualized data accordingly.
- Shows a tooltip with details on mouseover.
I work in the small team that created Vizzu (https://news.ycombinator.com/item?id=28895897), and now we've integrated our tool into Jupyter Notebooks to help data scientists and analysts present the results of their work easier.
ipyvizzu uses our open-source Javascript/C++ library, utilizing its generic dataviz engine that generates many types of charts and seamlessly animates between them. It is designed for building animated data stories as it enables showing different perspectives of the data that the viewers can easily follow.
Next to creating a Python API, we added extra features for this integration, like using data from a Pandas dataframe and auto-scrolling to keep the chart in position while executing multiple cells.
We would love to know what you think about it and how we should improve ipyvizzu.
Thanks!
We do think that Vizzu works really well for storytelling but you're absolutely right that more examples would be necessary on the site. Here are a couple of examples that we built with a previous version of our tool: https://vimeo.com/showcase/8920560
Using dplyr with Vizzu seems possible - at least at first sight we actually do very similar transformations of the data .
Thank you! Hans Rosling's work is an important source of inspiration for us. With Vizzu we hope to empower people to build engaging, animated data stories, just like Mr. Rosling did.
Thanks!
Chart.js is an excellent charting library and much more mature than Vizzu currently. The key advantage of Vizzu is the embedded animation capability. You set up two charts, and you can morph from one to the other and vice versa out-of-the-box. The automatic data aggregation & data filtering feature is pretty unique as well.
Thanks! :)
This tweening and space saving is what we built Vizzu for! Do you think you could give it a try?
Regarding the combinations: it really depends on the data and the relationship you're looking for. We hope to make experimenting with such pairs or even series of charts easier with our lib.