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May 2020 Blog Posts (84)

Visualizing Survey Data

In this post, we will be visualizing survey data for the top survey question types. I’m Tyler Lubben, founder of VizualSurvey, a survey data cleaning tool that cleans your survey data from any survey software so you can visualize it in any of our Tableau, Power BI, Spotfire or Qlik Sense prebuilt dashboard templates. Let’s go ahead and start!

Lets start off with an…

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Added by Tyler Lubben on May 15, 2020 at 6:00am — No Comments

Thursday News, May 14

Here is our selection of featured articles and technical resources posted since Monday.

Resources

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Added by Vincent Granville on May 14, 2020 at 12:30pm — No Comments

ETL vs Data Preparation: What does your business need?



What is ETL?

Put simply, an ETL pipeline is a tool for getting data from one place to another, usually from a data source to a warehouse. A data source can be anything from a directory on your computer to a webpage that hosts files. The process is typically done in three stages: Extract, Transform, and Load. The first stage, extract, retrieves the raw data from the source. The raw data is then transformed to match a predefined format. Finally, the load stage…

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Added by Daniel Lucia on May 14, 2020 at 6:30am — No Comments

Why Do You Need A Defined Sales Process for Your Business?

Successful businesses are taking a structured approach to create a reliable sales process. A comprehensive sales process can help drive revenue growth by concentrating on high impact events that drive a selling opportunity across the sales process by increasing the number of time reps. Too often, sales representatives are not focused on important selling activities - the strategic milestones - that help drive their customers' decision processes. Instead, sales…

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Added by Jason Hubbard on May 14, 2020 at 5:22am — No Comments

Could your personality decide how you can collaborate with AI in future jobs?

I am currently exploring this idea in a paper

Could your personality decide how you can collaborate with AI in future jobs?

I am a strong believer in a mode where humans and AI work together and collaborate 

I also believe that if we can master this skill, we can bring manufacturing jobs back from offshore destinations

 

In the book…

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Added by ajit jaokar on May 13, 2020 at 3:19pm — No Comments

Testing the Correlation between Time Series Variables

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Added by Selcuk Disci on May 13, 2020 at 5:18am — No Comments

Will DNNs Ever Really be Explainable?

Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whether we will ever really be able to explain what goes on inside.

 

As we have become ever more enamored with DNNs, and their accuracy and…

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Added by William Vorhies on May 11, 2020 at 2:41pm — No Comments

COVID-19: Tuesday Blips in a “Downward Trajectory”

by Carl Hoover, Senior Advisor, Elder Research

We observe a peculiar counter-fluctuation in a COVID-19 statistic -- daily percent changes in deaths; it has a downward trend, but Tuesdays tend to see small increases.

COVID-19…

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Added by Paul Derstine on May 11, 2020 at 6:32am — No Comments

How to Safely Remove a Dynamic Shiny Module

Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blog post, I present how to remove deleted module leftovers and make sure that your Shiny graph observers are rendered just once.

While working with advanced Shiny applications, you have most likely encountered the need for using Shiny…

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Added by Krystian Igras on May 11, 2020 at 12:30am — No Comments

Weekly Digest, May 11

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Featured Resources and…

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Added by Vincent Granville on May 10, 2020 at 5:30pm — No Comments

Data Science for analytical minds | Introduction

Introduction to 5-part practical guide on becoming a data scientist.

Are you someone who:

  • Has studied concepts of statistics, econometrics or mathematics?…
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Added by Shilpa Arora on May 10, 2020 at 8:42am — No Comments

Inference vs Prediction in One Picture

Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the "What is data telling me?" puzzle. In fact, many inferential questions are raised as a result of predictions: For example, you might predict how input variables X, Y, and Z affect an output variable B. Then you can…

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Added by Stephanie Glen on May 10, 2020 at 6:12am — 1 Comment

Random Forest Classification explained in detail and developed in R

In supervised machine learning algorithms, Random Forest stands apart as it is arguably the most powerful classification model. When Microsoft developed their X-box game which enables you to play as per the movement of your posture, they used Random Forest over any other machine learning algorithm and over ANN (Advanced Neural Networks) as well !

I am assuming that if you are reading this blog, you are well versed with Decision Tree Classification. However, if you are not, need not…

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Added by Sourav Kumar Das on May 10, 2020 at 1:30am — No Comments

Data Science is Changing the World for the Better: Here’s How

Data science, by definition, is an interdisciplinary field which makes use of scientific processes, methods, systems, and algorithms for extracting insights and knowledge from multiple structured and unstructured data.…

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Added by Veronica Hanks on May 8, 2020 at 12:30am — 1 Comment

Is R Shiny Versatile Enough to Build a Video Game?

A Video Game? In R Shiny?

For the last two years, RStudio has been organizing a competition to showcase the power and flexibility of Shiny as a framework for creating applications. Lately I’ve been devoting my career to making Shiny apps more beautiful, and…

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Added by Pedro Coutinho Silva on May 7, 2020 at 11:00pm — No Comments

Why You Should Prioritize Data Transformation Over Other Digital Transformation Initiatives

Chance are you’re aiming to invest in a BI and analytics program to capitalize on the big data your company has been acquiring over the years. But before you spend millions on opting for expensive BI programs, take a step back and ask yourself three questions:

  1. Do I have data I can trust?
  2. Do I understand my data?
  3. Do I have a data transformation & data quality framework in place?

A, ‘No’ to these questions indicates that you need to optimize…

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Added by Farah Kim on May 7, 2020 at 7:30pm — No Comments

Thursday News, May 7

Here is our selection of featured articles and technical resources posted since Monday:

Resources

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Added by Vincent Granville on May 7, 2020 at 12:30pm — No Comments

IBM's new quantum computer finally achieves a quantum advantage

The online conference, IBM Think 2020, was held in May 5-6 2020. During that conference, Dario Gil, IBM Research Director, was visibly, almost orgasmically, excited with his new toy, an IBM quantum computer.

The IBM quantum computer already gives a clear quantum advantage to all IBM partners, as long as they rent the version that is mounted on…

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Added by Robert R. Tucci on May 7, 2020 at 9:22am — No Comments

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Using Google Mobility Data to Model Covid-19 Case Infection Rates

Paul B. Parker, Ph.D.



Introduction

The question of how and when to open up the economy as Covid-19 rates drop is fraught with great risk on both sides.  How the question is answered is likely the most critical public policy decision in the last few decades.  Unfortunately, most of the arguments made so far have been based more on philosophy than science.  Reliable data has been…

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Added by Paul Parker on May 7, 2020 at 6:03am — 10 Comments

Dirty Data — Quality Assessment & Cleaning Measures

Practical guide to understand, build, and execute data quality & cleaning process

In the book ‘Bad Data Handbook’ Q Ethan McCallum has rightly said, “We all say we like data, but it’s not the data but the insights that we derive from it are what we care about.” Yet, a data analyst gets to dedicate only 20% of her time to the art and science of…

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Added by Shilpa Arora on May 7, 2020 at 4:30am — 1 Comment

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