[TriPython] Prediction Model. Data Visualization.

[Jesse Bikman]

Hard to go wrong with a bar chart if there’s no time series element!

Sent from my iPhone

> On Oct 10, 2017, at 17:52, Jeff Heard <jefferson.r.heard at gmail.com> wrote:
> 
>   I'd suggest you look at Seaborn. If you're dead-set on visualizing data in
>   javascript, it might well give you some inspiration to draw from,
>   otherwise it's a great Python solution for data
>   vis.**[1]https://seaborn.pydata.org/ . I'm not 100% sure what I'd
>   recommend given that much information. Also, it looks like the mailer
>   scrubbed the images. If you could host the originals somewhere (GitHub?),
>   it'd help understand what you did better to give a recommendation.
>   Are your model outputs continuous or discrete? I understand that you're
>   looking at "positive/negative" values, but decisions/classifications and
>   actual model output can be different. Plus the choice of a donut chart to
>   represent boolean values doesn't make a lot of sense to me, so I thought
>   that I maybe understood you wrong.
>   **
>   On Tue, Oct 10, 2017 at 3:53 PM, Art <[2]artem.nesterenko at gmail.com>
>   wrote:
> 
>     ** **Good afternoon!
>     ** **I'm reaching out to you guys for a suggestion on the data
>     visualization.
>     ** **I'm wondering if anyone has an experience or an idea of visualizing
>     the
>     ** **volume of multiple model prediction targets.
>     ** **Here is an example of a model with just 2 prediction targets I've
>     recently
>     ** **been working on:
>     ** **1. This model provides 2 predictions: target_1 and target_2.**
>     ** **2. I also know the actual result to compare against, so I could see
>     the
>     ** **model accuracy.**
>     ** **3. I've built a confusion matrix to calculate true/false pos/neg
>     (see
>     ** **below). So, there are 4 values.
>     ** **4. I chose donut**chart to visualize these values (see below).
>     ** **[1]Inline image 2**
> 
>     ** **My question is what if the model provides more than 2 predictions?
>     Our
>     ** **next model has 7 targets, which is 49 pos and neg values as far as
>     I
>     ** **understand. And I think a**donut**graph is not going to work in
>     this
>     ** **case.**Maybe a bar graph or something else fits better.**
> 
>     ** **I'd appreciate any ideas or examples of visualizations that easy to
>     look
>     ** **at and understand.
>     ** **I'm using d3/c3.js for data visualization.
>     ** **Thank you!
>     ** **Art Nestsiarenka
>     ** **email: [2][3]artem.nesterenko at gmail.com
> 
>     References
> 
>     ** **Visible links
>     ** **2. mailto:[4]artem.nesterenko at gmail.com
> 
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> References
> 
>   Visible links
>   1. https://seaborn.pydata.org/
>   2. mailto:artem.nesterenko at gmail.com
>   3. mailto:artem.nesterenko at gmail.com
>   4. mailto:artem.nesterenko at gmail.com
>   5. mailto:TriZPUG at python.org
>   6. https://mail.python.org/mailman/listinfo/trizpug
>   7. http://tripython.org/
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