Subject archive for "visualizations"

A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA). As I mentioned in my prior blog, with DCA you can import a dataset, make a few data visualizations, and deploy those data visualizations as a Python data app - all through a point-and-click interface. At the end of this, you have a perfectly executable Python or R script that follows the steps that you took in the UI.

This talk was presented live at PLOTCON 2016 in NYC on November 18, 2016.

Today, along with our partners at Plot.ly, we're announcing a significant investment in the open-source nteract project. nteract is a desktop-based, interactive computing application.

I recently had the chance to team up with Domino Data Lab to produce a webinar that demonstrated how to use Plotly to create data visualizations inside of Domino notebooks. In this post, I'll share a few of the benefits that I discovered while using Plotly and Domino together.

I get very excited about a nice map. But when it comes to creating maps in Python, I have struggled to find the right library in the ever changing jungle of Python libraries. After some research I discovered Folium, which makes it easy to create Leaflet maps in Python.