31–40 of 117 posts
Also what is the Reactjs story here ? We went down the "tabular views" journey a while back and eventually settled on react-virtualized which i think is the best of breed.
Is there a plan to create a version that generate the graphs and manage all the filtering on the server side instead of having all the data in the browser? This will be very helpful for cases that uses large datasets... I built visualization using dc.js, and working with large datasets was the biggest pain point for me. http://adilmoujahid.com/posts/2016/08/interactive-data-visua...
We had plans to move DataModel (manages all data ops) to serverside. We even have a half baked DataModel in Scala which we thought we would do it once we understand some usecase. But currently we have put it on hold. We would love to know your - use case - number of data points - ops on data on serverside You can mail us to eng@charts.com
To build the visualization in [1], I used 3 datasets in csv format from a kaggle competition [2], and I implemented the charts using dc.js and Leaflet.js. The charts were interactive and I could managed to filter the data even in the map.
The largest dataset was 284 MB, which was still ok and didn't crash my browser.
There were 2 drawbacks to my approach: 1- All the data was in the browser. If my data was bigger (~1GB), then it would crash my browser. 2- If I deploy the visualization to a server (for example AWS), then it would make the rendering extremely slowly as it has to download all the data to the browser...
[1] http://adilmoujahid.com/posts/2016/08/interactive-data-visua...
[2] https://www.kaggle.com/c/talkingdata-mobile-user-demographic...
this was the most interesting thing for us, but it is broken in Chrome/Linux. https://www.charts.com/muze/examples/view/microcharts-in-tab... Also what is the Reactjs story here ? We went down the "tabular views" journey a while back and eventually settled on react-virtualized which i think is the best of breed.
However, will make sure it gets tested with all linux dist before next release.
Are you looking for integration? > Also what is the Reactjs story here ?
Holy crap that's an A-level domain. How'd you guys get it?
Thanks for sharing! A number of the charts in the examples are cut off (height-wise). https://www.charts.com/muze/examples/view/heatmap for example (in Chrome 69). Seems fine in Firefox. https://imgur.com/a/Dq4fiz0
For the time being, you can click on the play button on top right corner of the code section.
Earlier quoted context omitted.
Hey `cpsempek, Periscope Data CEO here. In a perfect world, how would the charting in Periscope work? How would you want to go from getting 80% very fast, to going to 100%, in the same software?
Hi, thanks for the reply! Actually, apologies for throwing your name next to tableau like that. I think your product does a great job incorporating things like R/python scripting to allow more flexibility in how data can be manipulated within the product. In this sense I prefer periscope to tableau (an in many other senses actually). A problem I encountered (granted over a year ago) was creating grouped bar charts wi…
Yeah, the hack you described for CIs is typical of "80% charting". We have a list of probably thousands of longtail visualization requests and we're way past the 80/20 point.
These days customers who want to go 100% use the Python/R editors and do their custom visualization there. So you do your SQL query like usual, but then pipe it to Python/R for the visualization. Have you tried that, and has it worked for you? Or do you prefer another model?
Earlier quoted context omitted.
We had plans to move DataModel (manages all data ops) to serverside. We even have a half baked DataModel in Scala which we thought we would do it once we understand some usecase. But currently we have put it on hold. We would love to know your - use case - number of data points - ops on data on serverside You can mail us to eng@charts.com
One use case could be a data visualization similar to what I built in [1] To build the visualization in [1], I used 3 datasets in csv format from a kaggle competition [2], and I implemented the charts using dc.js and Leaflet.js. The charts were interactive and I could managed to filter the data even in the map. The largest dataset was 284 MB, which was still ok and didn't crash my browser. There were 2 drawbacks to m…
Is there a plan to create a version that generate the graphs and manage all the filtering on the server side instead of having all the data in the browser? This will be very helpful for cases that uses large datasets... I built visualization using dc.js, and working with large datasets was the biggest pain point for me. http://adilmoujahid.com/posts/2016/08/interactive-data-visua...
Earlier quoted context omitted.
Hey `cpsempek, Periscope Data CEO here. In a perfect world, how would the charting in Periscope work? How would you want to go from getting 80% very fast, to going to 100%, in the same software?
Hi, thanks for the reply! Actually, apologies for throwing your name next to tableau like that. I think your product does a great job incorporating things like R/python scripting to allow more flexibility in how data can be manipulated within the product. In this sense I prefer periscope to tableau (an in many other senses actually). A problem I encountered (granted over a year ago) was creating grouped bar charts wi…