This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen as Spotlight Winners to present at the closing ceremony. Read on for the technical aspects of our solution, for a more general overview of the hackathon and our product see our first article…

One of the biggest problems in data management and data science is being able to obtain “good” data. You need to gather sufficient data from a substantial array of subjects who fit your study’s requirements, and ensure the accuracy of the data... otherwise, any conclusions you draw could be biased or skewed.

But assume for a moment that your data is already solid. That’s no guarantee of success, unfortunately: It’s like having all the ingredients of a pizza in one place but lacking…

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.

Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license…

This is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.

this new library leverages these libraries and allows us to create some stunning dashboards, using interactive graphs and text. What I loved the most, was the “storyboard” feature that allows me to present content in Tableau-style frames. Please note that for this you need to create RMarkdown (.Rmd) files and insert the code using the…

I was joking when I entered on Google, “Where was my coworker yesterday?”  After reviewing the responses that appeared from the search engine, I continued, “What did she eat for breakfast?”  Sometimes the responses to my everyday questions seem insightful - on a certain level, interesting and intriguing.  Usually the quality of the responses is quite poor.  I assume therefore that the algorithms operating in the background don’t “understand” the sense of what I am asking.  If I were to ask,…

In my blogs, I often distinguish between event data and metrics.  I usually say something to the effect that events help to explain the metrics - or events “provide the story behind the metrics.”  In this blog, I will be discussing two competing lines of thought behind events:  internal capacity and external demand.  Why do sales appear much lower for the month of June compared to July?  Some explanations relating to internal capacity are as follows:  “There weren’t enough agents in June to…

If number of searches were an indicator for gauging the popularity of a drink between Tea, Coffee, Beer and Wine then who wins the contest?

Let us analyze who wins the popularity contest by comparing the number of searches for each of the terms.

Data collection method: Each of the keywords Tea, Coffee, Beer and Wine were used with Google Trends to extract the weekly data and then plotted as below. Year 2015 is excluded due to partial…

Trend analysis of temperatures in Trentino-Alto Adige using regional open data.

This dashboard has been developed using Javascript, PHP, MySql and the Chartie API. Weather stations temperature…

Here is the USA map visual by state showing what percentage of people received flouride in their water.

https://my.infocaptor.com/dash/mt.php?pa=fluoridation_statistics_52cac4f7e248c

Here is the data source …