
Data Scientist @ TIBCO - enjoying all things data science, especially around #TIBCO Spotfire, analytics, machine learning and interesting integrations :)
Stirling, Scotland
Joined June 2019
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#Python nearly topping the TIOBE Index for the first time in history! That's why I am finding the tight Python integration in #TIBCO #Spotfire so incredibly useful in all the data science use cases I am working on.
Index: tiobe.com/tiobe-index/
community.tibco.com/wiki/tib…
Even more #Python for #TIBCO #Spotfire! The TIBCO Community Exchange is now loaded with free to download data preparation, statistical, geospatial and #datascience data functions. Two new functions available:
PCA: community.tibco.com/modules/…
Encoding: community.tibco.com/modules/…
A whole load of new #Python data functions have been published on the @TIBCO community exchange! Easily add these to your #Spotfire apps to create powerful statistical and #datascience driven #analytics
community.tibco.com/modules/…
community.tibco.com/modules/…
community.tibco.com/modules/…
Quick tip for #Spotfire - easy custom styling of tables just by clicking on a table header. Control background colours of text, rows, headers as well as the positioning and text style itself:
lnkd.in/dXWCv8M
Colin Gray retweeted
We have a brand-new Spotfire demo that takes a look at the data from @teamTIBCO_SVB's 2020 season and beyond—power output, heart rate, and speed to optimize race strategies. Check it out and compares metrics from your favorite riders! tibco.co/2PQyw3J
Just released on our #TIBCO community exchange (which has loads of great free downloads) is our #Python column #correlation data function. Easily integrate multiple correlation methods into #Spotfire for your #analytics and #datascience tools
community.tibco.com/modules/…
Example analysis shown here using the network chart mod also downloadable from the exchange: community.tibco.com/modules/…
Custom autocompletes in #Spotfire will really enhance your #analytics and user experience. Spotfire makes all of these possible and customisable as it is highly extensible. #Spotfiremods would be a great route for this to :)
#tibco #javascript #html
community.tibco.com/wiki/usi…
Colin Gray retweeted
Tomorrow's the day! Join us LIVE on LinkedIn with @datacated_ 's Kate Strachnyi and @catalinahd to learn how to go from data analyst to data scientist. tibco.co/3sCd5S8
Colin Gray retweeted
🚨 Calling all Spotfire Beginners! 🚨
Microsoft #Excel is the most used data analytics tool on the planet, but often has bottlenecks when advancing your analyses. Join this session to learn the parallels with #Spotfire and how to ease the transition!
👉 tibco.com/events/dr-spotfire…
Colin Gray retweeted
Using a few little HTML and CSS tricks, learn how to make some beautiful KPI's in #Spotfire in today's #QuickTip video 🤩
youtu.be/VyfzqCu_pxs
New #TIBCO #datascience YouTube channel now out! Many examples of classic data science tasks such as anomaly detection, clustering, #DigitalTwins , edge computing, #geoanalytics and #AutoML. Showing off the power of converging analytics with data science
youtube.com/channel/UCJmrgkK…
Using relations and links between data is an essential tool in #analytics and #datascience. This helps prevents joining all data, and keeping your analytics clean. #TIBCO #Spotfire has powerful tools to do this as with all data wrangling tasks it excel at
youtube.com/watch?v=NlOAcwvO…
Colin Gray retweeted
.@TIBCO #Analytics @Meetup (#TAM) are always informative and fun. Check out what we are doing in #anomalydetection #imageanalysis #patternclassification. #MachineLearning #DataScience #visualanalysis #Spotfire @TIBCO @HeleenSnelting
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An often missed aspect of #datascience is exploring encoding categorical / text data. There are many methods and which works best will depend on your data, and #machinelearning #ai models. Read our #tibcodatascience blog on encoding methods to learn more!
community.tibco.com/feed-ite…
Just updated my wiki on performing correlation calculations interactively in #TIBCO #Spotfire using #Python and #pandas. The new code is more performant and functional. Its always good practice to revisit and optimise code as we move to production :)
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