Usually, when people talk about statistics, they think only about numbers, but it is much more. Statistics is an irreplaceable tool in different fields like data analysis, predictive modeling, quality control, scientific research, decision-making models, etc. Overall, statistics provide a valuable toolset for understanding, describing, and making predictions about data,…
February 24, 2023
Comparing different plotting systems in R
Data visualization is the step in the data analysis process where, if done right, “ gives you answers to questions you didn’t know you had” (Ben Schneiderman). Alongside keeping our understanding of trends and patterns, the visual language that should effectively communicate the insights generated through the analysis is probably…
January 18, 2023
The role of Data Analytics in the function of Map Quality
What is a map? A map is a symbolic representation of selected characteristics of a place, usually drawn on a flat surface. Maps represent information about our world in a simple, visual way. They teach about it by showing the sizes and shapes of countries, locations of features, and distances between…
December 14, 2022
How to Ensure Data Integrity?
The World of Data If one were to look at the world's highest-performing companies right now by market cap, one'd notice that 4 out of the top 5 are massive tech companies, with one oil conglomerate sneaking in. It is no surprise then to hear huge news outlets, such as…
August 11, 2021
Data Quality Analysis at Its Simplest
Data Quality Analysis at Its Simplest Maybe you have heard the expression ‘Data is the new oil’ phrased by the founder of Clubcard, Clive Humby. But, what does it mean? Does it imply that today data is as valuable as oil in terms of the economy? For sure. However, there…
March 16, 2021
The Data Analytics behind Fantasy Football
"People are overlooked for a variety of biased reasons and perceived flaws: age, appearance, personality. Of the twenty thousand notable players for us to consider, I believe that there's a championship team of twenty five people that we can afford. Because everyone else in baseball under values them - like…
January 22, 2020
Turning quantity into quality with movies dataset
Imagine entering the world of analytics Are you a film enthusiast? Can you name all the thrillers released between 2010 and 2015 together with their directors and leading roles? If yes, good for you! (more…)
December 11, 2019
Becoming A Data Science Unicorn – Part 2
I hope you have already read the first part of this Series and found your strong WHY, if you have not - you know what to do. Also, if you didn't go through the course I suggested there, AI for everyone, do so now, please. (more…)
November 14, 2019
When Data Analytics meets Quality Assurance
Mistakes were made. Let’s acknowledge them The Atlantbh Data Analytics team went through a long and strenuous process of change over the past few years. This evolution, which saw us move from writing reports in (more…)
October 22, 2019
Elasticsearch and near realtime analytics
Recently, we got a request to create an analytics dashboard for the application's data we have. The data was stored within PostgreSQL and our initial idea was to build queries that would drive these dashboards. (more…)
May 15, 2019
4 immutable traits of successful Product Owners
Imagine this: You have finally decided to start using Scrum at your company. You’ve got everything figured out, a team is committed to wholeheartedly accept this new approach and everything seems (more…)
May 9, 2019
Becoming a Data Science unicorn – Part 1
At the beginning of my data science path, three years ago (decades in data science years) the most frequent question I kept getting asked was “What on earth is data science?”. A lot has changed since then. (more…)