D3 is particularly interesting for interactive data visualization. Flowingdata points to recent explanation and examples. Technically/programming oriented.
" ... D3 is the most commonly used JavaScript library for visualization on the web, but there’s a bit of learning curve, especially for those new to programming. Peter Cook hopes to make this beginning step easier with his newly started online resource D3 in Depth.
Pair this with many, many examples and you’re set. ... "
Showing posts with label D3. Show all posts
Showing posts with label D3. Show all posts
Thursday, September 01, 2016
Thursday, August 27, 2015
Viz Description of Machine Learning
From R2D3:
Very nicely designed scrolling and animated visual of specific machine learning methods. An introductory, intuitive and clear look, with no need for math. This appears to be only the first edition of this, there is more to machine learning. How about drilling through, if desired, to some of the math, to link it to the graphics? Animate data gathering methods? Testing methods?
I particularly like the visual description of building a decision tree and then visually simulating results of the prediction. I used regression trees many times for applications. Would have been a very effective way to show it someone, with their own data. Look forward to more. Check out what they have done so far. Link above.
" .... In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco .... "
Very nicely designed scrolling and animated visual of specific machine learning methods. An introductory, intuitive and clear look, with no need for math. This appears to be only the first edition of this, there is more to machine learning. How about drilling through, if desired, to some of the math, to link it to the graphics? Animate data gathering methods? Testing methods?
I particularly like the visual description of building a decision tree and then visually simulating results of the prediction. I used regression trees many times for applications. Would have been a very effective way to show it someone, with their own data. Look forward to more. Check out what they have done so far. Link above.
" .... In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco .... "
Sunday, June 21, 2015
An Example of Network Graph Analysis
From DSC, Visualize your Social Media Analytics by Manoj Sharma
" ... Network Graph Analysis can be used to identify the most important participants based on their degree of interaction with other social media users for the topic of interest. Centrality in a graph can be used to identify the most vertices in a graph which translates into the most influential person in a social network. ....
For example, in the Twitter network graph (built using Python NetworkX and d3.js) shown here for @Walmart, we see a strong tweet connection with Huggies. Network graphs like the one above can be used to study interactions in social media which may lead to insights that can be useful in the real world. ... " (click below for image enlargement)
" ... Network Graph Analysis can be used to identify the most important participants based on their degree of interaction with other social media users for the topic of interest. Centrality in a graph can be used to identify the most vertices in a graph which translates into the most influential person in a social network. ....
For example, in the Twitter network graph (built using Python NetworkX and d3.js) shown here for @Walmart, we see a strong tweet connection with Huggies. Network graphs like the one above can be used to study interactions in social media which may lead to insights that can be useful in the real world. ... " (click below for image enlargement)
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