How to Use Wikipedia as a Data Source by Alan Jones via @TDataScience

How to load information from Wikipedia into Pandas by finding the best team in the English Premier League.

I like that this worked example could be used to do all sorts of things.

8 Visualizations with Python to Handle Multiple Time-Series Data by Boriharn K via @TDataScience

Visualization ideas for coping with overlapping lines in multiple time-series plots.

Some of these ideas are quite neat. Don't stick to the one you prefer the most - some sets of data may suit one of these examples more than the others.

Calendar Heatmaps : A perfect way to display your time-series quantitative data by Harshita Garg via @Medium

A quick and simple guide to create calendar heatmaps using Python libraries and add interactivity using widgets.

I think these are a powerful way for displaying data and a good way of visualising any anaysis.

Visualizing NYS COVID-19 Data by Meagvo via @TDataScience

With Python Matplotlib and Plotly.

Yes, this focuses on the covid data but it could just as easily be applied to any other data. Use this as a guide on how to do data validation for any other data.

WEBINAR: Hidden Context, Adding Information Without Cluttering Your Dashboard - 18 November 2021

 

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Hidden Context, Adding Information Without Cluttering Your Dashboard What: A free online webinar exclusively for IT Pros When: Thursday, November 18th, 8 AM PST / 11 AM EST Where: From the convenience of your personal computer  Register Now Sometimes, your dashboard needs a little more explanation for your user. But it doesn’t need to appear on the dashboard all at once. In this latest Data Science Central Webinar, we will uncover a few techniques you can use to add information and update visuals behind the scenes, leaving you with a clean dashboard every time! Join Sedale McCall, Director of Digital Insights at Tableau, as they explain how to effectively add information without cluttering your dashboard.

3 Cool Features of Python Altair by @snr14 via @TDataScience

It is more than a data visualization library.

This looks really cool and you might find it becomes your chosen data visualisation method in code moving forward - it's certainly worth a play and considering.

A Complete Data Analytics Project with Python by Natassha Selvaraj via @TDataScience

Data collection, analysis, visualization, and presentation.

I really enjoyed this as it worked completely through the one example from start to finished explaining all of the thought processes. Go through this and use it as a bit of a blueprint on how to do this going forward.

WEBINAR: Inspiring Change with Data Visualization - 14 September 2021

 

Webinar: Inspiring Change with Data Visualization What: A free online webinar exclusively for IT Pros When: Tuesday, September 14th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively conversation about data visualization in this latest Data Science Central webinar. Hear from Steve Wexler, Principal at Data Revelations, and see real-world examples that people employed to change the way their organizations did business.. Those viewing this webinar will see examples and think, "Yes! I see and understand this!" And more importantly, "Yes, our organization can do this, too!" You will come away with a greater understanding of data visualization and tips to improve your own work.

Data doesn't speak for itself: Why data storytelling is so important by/via @YellowfinBI

“Letting the data speak for itself” is a well-known phrase with a hard truth: Data presented on its own rarely communicates meaning for itself. For most people, it’s the context behind the numbers, the story, that helps us understand and care to act.

This is so true - you have to try and tell a story with the data that you find and analyse if you want to communicate it adequately to others - if you don't do that then you have failed and it was almost a waste of time to look at it to start with. We all need to tell the story well enough that we bring those reading it with us - get them to believe and be invested in what you are saying. We can all learn from sales techniques when it comes to selling a vision with data.

WEBINAR: Wrangle the Data Abyss: Build, Test, & Deliver - 19 August 2021

 

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Webinar: Wrangle the Data Abyss: Build, Test, & Deliver What: A free online webinar exclusively for IT Pros When: Thursday, August 19th, 9 AM PST / 12 PM EST Where: From the convenience of your personal computer  Register Now Register to attend a lively conversation about data visualization in this latest Data Science Central webinar. The hardest part of being an analyst isn’t building the dashboard, it is getting the data in a state where you can gain insights. In this webinar, you will learn how to efficiently build, test and deliver a thoughtful analysis. We will dive deep to uncover the nuanced process of building a dataset and dashboard that will be fully utilized. Click here to reserve your spot!

WEBINAR: How to Take Your Data Visualizations to the Next Level - 18 May 2021

 

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How to Take Your Data Visualizations to the Next Level Join us for this latest DSC Webinar on May 18th, 2021 When you choose the right visualization to highlight the most important aspect of your data, you can illuminate new insights and communicate them more persuasively, resulting in smarter actions and bigger outcomes for your business. In this latest Data Science Central webinar, the Product Manager for Visualizations at Qlik®, Patric Nordström, and best-selling author and strategic advisor, Bernard Marr, will discuss important trends, new insights and best practices in data visualization today. Discover how to inspire effective action in your organization – by telling your data story in the clearest, most compelling way possible. Speakers:   Patric Nordström, Director, Product Management - Qlik     Bernard Marr, Best-selling author, Futurist, Strategic Advisor   Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  How to Take Your Data Visualizations to the Next Level Date:  Tuesday, May 18th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

WEBINAR: Natural Language Trends in Visual Analysis - 13 May 2021

 

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Natural Language Trends in Visual Analysis Join us for this latest DSC Webinar on May 13th, 2021 Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics, natural language has been shown to help improve the overall cognition of visualization tasks. In this Data Science Central webinar, Vidya Setlur, Principal Research Scientist at Tableau, will discuss how natural language can be leveraged in various aspects of the analytical workflow ranging from smarter data transformations and visual encodings to autocompletion and supporting analytical intent. Vidya will also examine the implications of these innovations as well as future directions for research in this space. Speakers:   Vidya Setlur, Principal Research Scientist - Tableau   Hosted by:   Sean Welch, Host and Producer- Data Science Central   Title:  Natural Language Trends in Visual Analysis Date:  Tuesday, May 13th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

7 Must-Try Data Visualization Libraries in Python by @abhayparashar31 via @BttrProgramming

Tools to help you understand the data well.

I thought this was a really useful post and I learnt a couple more libraries to use next time I need to plot something.

WEBINAR: The Beautiful Science of Data Visualization - 10 March 2021

 

Data Science Central Webinar Series Event The Beautiful Science of Data Visualization Join us for this latest DSC Webinar on March 10th, 2021 Explore the scientific underpinnings of what enables people to understand data quickly and effectively. In this latest Data Science Central webinar, take a deep dive into how the neuroscience of the human visual system works and learn methods for effectively telling compelling data stories. Speakers:   Ashley Howard Neville, Senior Technical Evangelist - Tableau Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Solving Problems with Commercial & Open Source Date:  Wednesday, March 10th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Inspiring Change with Data Visualization 17 November 2020

 

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Inspiring Change with Data Visualization Join us for this latest DSC Webinar on November 17th, 2020 You may have read books or attended presentations touting visualizations that changed the world and then tried to apply these same visualizations to your businesses and failed. Yes, the Minard chart on Napoleon’s campaign to conquer Moscow, the John Snow cholera map, and the Florence Nightingale sanitary conditions "rose" chart did have a profound impact on society. But how can they help your business? In this latest Data Science Central webinar, see real-world examples, free of esoteric chart types, that people employed to change the way their organizations did business. Those viewing this webinar will see examples and think, "Yes! I see and understand this!" And more importantly, "Yes, our organization can do this, too!" Speakers: Steve Wexler, Principal - Data Revelations Hosted by: Sean Welch, Host and Producer - Data Science Central   Title:  Inspiring Change with Data Visualization Date:  Tuesday, November 17th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Creating Powerful Animated Visualizations in Tableau by Raji Rai via @TDataScience

 In this post, he explores animated data visualization in Tableau, one of the tool's powerful features for making visualizations appealing and interactive.

If you use Tableau this is definitely a must-read.

The Ultimate Beginner’s Guide to Data Scraping, Cleaning, and Visualisation by @annebonnerdata via @TDataScience

How to take your model from unremarkable to amazing simply by cleaning and preprocessing your data.

Anne is right - if you get the underlying data right, the results and process to get to there is so much easier.  That is NOT to say you do something to skew the results, just that you make sure that it is not a case of garbage in/garbage ou.

WEBINAR: Machine Learning, Explainable AI, and Data Visualization 19 March 2020

Data Science Central Webinar Series Event

Machine Learning, Explainable AI, and Data Visualization Join us for this latest DSC Webinar on March 19th, 2020 The promise of artificial intelligence is that machines will help humans make better decisions. But we need to understand what machines are doing, to avoid mistakes and to understand our data. As organizations become more reliant on AI and machine learning models, how can humans be sure they are receiving trustworthy answers to the right questions? In this latest Data Science Central webinar, we will be discussing some general trends in AI before digging into what's been happening in explainable AI research, what are some of the readily available tools, and what’s coming next. We will also address integrating AI machine learning capabilities into Tableau, and that will give us an opportunity to deep dive into the recent developments at Tableau regarding the topic of XAI. Speaker: Richard Tibbetts, Principal Product Manager for AI -- Tableau Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Machine Learning, Explainable AI, and Data Visualization Date:  Thursday, March 19th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: The Beautiful Science of Data Visualization - 28 January 2020

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Data Science Central Webinar Series Event The Beautiful Science of Data Visualization Join us for this latest DSC Webinar on January 28th, 2020 Explore the scientific underpinnings of what enables people to understand data quickly and effectively. In this latest Data Science Central webinar, take a deep dive into the neuroscience of the human visual system works and learn methods for effectively telling compelling data stories. Speaker: Ashley Howard Neville, Senior Technical Evangelist -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  The Beautiful Science of Data Visualization Date:  Tuesday, January 28th, 2020 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now   After registering you will receive a confirmation email containing information about joining the Webinar.

WEBINAR: Build Machine Learning Pipelines - 15 January 2020

Live Webinar: Build Machine Learning Pipelines January 15th, 2020 @ 12pm EST Streamlining your machine learning pipeline is critical for enterprise data science to deliver better business results. Accelerating the process from data, to processing to training to deployment and back again will help you get better performing models, faster. In this webinar we'll offer solutions to the common challenges data scientists and data engineers face when building a machine learning pipeline. We will dissect each part of the pipeline and offer strategies on how to design your machine learning pipelines for a more efficient, integrated and automated process. We'll tackle ways to connect all your data sourcing in one unified location. How to create modular ML components for easy reproducibility, and automate MLOps for quick training of models and hyperparameter optimization. Streamline frequent deployment of models leveraging the power of Kubernetes. And lastly, you'll learn to design a monitoring toolkit with Grafana and Kibana for easy CI/CD. Join Solutions Architect, Aaron Schneider as he builds an end-to-end machine learning pipeline, and explains how to optimize each section for a more efficient workflow. Key webinar takeaways: Set up an efficient machine learning pipeline Learn key MLOps solutions to streamline science and engineering Create reusable ML components Build a suite of monitoring and visualization tools Instantly train and deploy ML models with Kubernetes Use CI/CD to design an auto-adaptive machine learning pipeline Unable to attend? Register for a recording of the webinar and copy of the presentation following the live stream.