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Stephanie Glen's Blog (125)

E-R Diagram: 5 Mistakes to Avoid

  • Good E-R diagrams capture core components of an enterprise.
  • 5 things not to include in your diagram.
  • Tips to guide you in your E-R diagram design.

In my previous blog post, I introduced you to the…

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Added by Stephanie Glen on July 18, 2021 at 2:53pm — 2 Comments

Intro to the E-R Diagram

  • E-R diagrams capture meaning in your data.
  • This high-level visual tool identifies core components of an enterprise
  • Simple steps to follow to create the diagram.

Entity-Relationship (E-R) Modeling is one approach to visualize what story your data is trying to tell. This goal of this predecessor to…

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Added by Stephanie Glen on July 11, 2021 at 2:30pm — No Comments

Five Graphs to Show Cause and Effect



  • Cause-and-effect relationships can be visualized in many ways.
  • Five different types of graphs explained, from simple to probabilistic.
  • Suggestions for when to use each type.

If your data shows…

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Added by Stephanie Glen on June 27, 2021 at 5:30pm — No Comments

Stroke Prediction using Data Analytics and Machine Learning

  • Data-based decision making is increasing in medicine because of its efficiency and accuracy.
  • One branch of research uses Data Analytics and Machine Learning to predict stroke outcomes.
  • Models can predict risk with high accuracy while maintaining a reasonable false positive rate.

Stroke is the second leading cause of death…

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Added by Stephanie Glen on June 22, 2021 at 4:26am — No Comments

Outbreak Analytics at the Forefront of Data Science

  • Epidemics remain a major public health issue. 
  • Data science steps in when traditional modeling methods fail.
  • Outbreak analytics can handle the complex data involved in pandemic assessment.

The last two decades saw more new infectious diseases of global concern than in any similar period of history [1]. Ebola, Influenza A…

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Added by Stephanie Glen on June 11, 2021 at 8:08am — 1 Comment

The NFT Crypto-Art Bubble has Officially Burst

  • Non-fungible token assets are declining rapidly,
  • The market is down 70% from its peak,
  • NFTs , in a moderated form, are likely here to stay.

Non-fungible tokens (NFTs), tradable digital certificates…

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Added by Stephanie Glen on June 7, 2021 at 6:00am — No Comments

The Environmental Toll of NFTs

  • The Non-Fungible Token (NFT) craze is an environmental blitz.
  • What's behind the massive energy use.
  • Solutions to the problem.

The high environmental toll of NFTs

A couple of weeks ago, I wrote an article…

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Added by Stephanie Glen on May 31, 2021 at 4:00am — No Comments

The Future of Business Analytics is Here

  • Business analytics has moved from the sidelines to the forefront
  • AI-based technology has revolutionized the field
  • Real-world examples of BA success.

Gone are the days when a BA’s  role was as a requirements note taker [1], or  when data interpretation was the responsibility of a small team of programmers.  In the…

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Added by Stephanie Glen on May 23, 2021 at 2:56pm — No Comments

NFTs Explained in Two Pictures: The Good, The Bad ... and The Ugly

  • Non-Fungible Tokens (NFTs) are taking the art world by storm.
  • A large number of serious problems outweigh any positives.
  • Two infographics to explain the process and issues.

The above image shows how an object of value, like an artwork, music file or GIF, can be “minted” and sold via a non-fungible token (NFT). An…

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Added by Stephanie Glen on May 16, 2021 at 12:30pm — No Comments

AI: The Next Great Art Forger

  • AI develops new “art” using image analysis.
  • GANs do not create, they repaint.
  • The result is a pastiche, a poor copy of the real thing.

 

AI art is created with algorithms that enable AI to learn a specific aesthetic by analyzing thousands of images; The algorithm then…

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Added by Stephanie Glen on May 9, 2021 at 2:30pm — No Comments

The Opioid Epidemic and Ethical Data Warehousing

 

  • Data science and ML is being used to tackle the ongoing opioid epidemic.
  • Medical databases are rich with information but lack informed consent.
  • Problems of heterogeneous data and ethical concerns pose significant challenges,
  • Social media mining is emerging as a tool, but has its ethical problems as…
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Added by Stephanie Glen on April 30, 2021 at 8:14am — No Comments

Why you should put Fixed Point Strategies in Your Toolbox

  • Fixed point strategies can approximate infinite depth.
  • The methods are easy to…
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Added by Stephanie Glen on April 25, 2021 at 6:00am — No Comments

Unusual Applications of Data Science

  • A round up of unusual applications of data science from recent academic journals,
  • Four examples far outside the usual realm of finance, professional services, and IT.
  • Applications range from tracking surgical tools to assessing suicide risk.

Tens of thousands data science research articles are published each year in…

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Added by Stephanie Glen on April 18, 2021 at 1:00pm — No Comments

Interpretive Analytics in One Picture

  • Interpretive analytics (IA) takes you beyond number crunching.
  • AI is the key to getting involved in strategic decision making.
  • Strategies for using interpretive analytics in one picture.

The final step in the…

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Added by Stephanie Glen on April 11, 2021 at 7:30am — No Comments

What is Good Data and Where Do You Find It?

  • Bad data is worse than no data at all.
  • What is “good” data and where do you find it?
  • Best practices for data analysis.

There’s no such thing as perfect data, but there are several factors that qualify data as good [1]:

  • It’s readable and well-documented,
  • It’s readily available. For example, it’s…
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Added by Stephanie Glen on March 31, 2021 at 9:53am — No Comments

Often Confused Terms in Statistics

  • Do you know the difference between a covariate and covariance, or probable and plausible?
  • Many terms in statistics are confused, even by experts
  • Eleven of the most commonly confused terms

Hundreds of years of statistical analysis by tens of thousands of independent researchers has led to an array of similar sounding…

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Added by Stephanie Glen on March 24, 2021 at 1:54pm — 1 Comment

Data Science Lessons Learned from the Covid-19 Calamity

  • Covid-19 data was haphazardly collected and analyzed, leading to a national disaster.
  • Pandemic predictions were no more accurate than a Magic 8 Ball.
  • Lessons to be learned from the mistakes made.

In the early days of the Covid-19 pandemic, the U.S. government didn’t have the faintest clue about the pandemic's…

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Added by Stephanie Glen on March 19, 2021 at 7:00am — No Comments

4 Tips to Improve Your Statistical Literacy

  • Improve your statistical literacy by following a few good practices.
  • A few examples of "unstatistics".
  • Four tips for avoiding common pitfalls in data analysis.

Statistical literacy (assessing statistical statements, arguments and associations) is extremely important for producing and interpreting results from data…

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Added by Stephanie Glen on March 9, 2021 at 1:38pm — No Comments

Tweaking Algorithmic Filtering to Combat Fake News

  • A significant portion of social media content uses Algorithmic Filtering (AF).
  • AF results in issues with fake news, polarizing opinions.
  • A tweak to AF may be the solution for improving the user experience.

According to a recent Pew Research Center Study, 53% of U.S. Adults get their news regularly from social…

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Added by Stephanie Glen on February 28, 2021 at 4:30pm — 1 Comment

Interconnectivity of Univariate Probability Distributions

  • Knowing how probability distributions are connected can be helpful, especially when it comes to choosing models.
  • Many charts showing this interconnectivity exist; Most are cluttered with more information than you're probably not looking for.
  • A simplified chart to help you choose between models.

Studying the…

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Added by Stephanie Glen on February 22, 2021 at 11:00am — No Comments

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