It is all about being positive or negative. May be this sentence is enough to summarise our experiences from the last couple of months. Covid-19 pandemic caught us off-guard. Going through this topic, I created an R Shiny app, which allows users to...

Reprinted from https://towardsdatascience.com/an-accidental-side-effect-of-text-mining-4b43f8ee1273 As I read on my kindle I highlight the passages that I like so that I can re-read them later. These annotations are stored on my Kindle and are backed up at Amazon. And after some time, they started to accumulate ...

Have more things happen at once: Parallel Programming Parallel processing is about using multiple cores of your computer’s CPU to run multiple tasks simultaneously. This enables you to complete the same task multiple times quicker! In R, usually computations run sequentially. When we initiate multiple tasks they are performed ...

Where are we standing on fight against cancer? Five-year survival rates is a good indicator of improvement in cancer medicine. I am using the article by Jemal et. al. published on the Journal of the National Cancer institute. You can find the original publication here: https://academic.oup.com/jnci/...

Last week, I came across a data that I thought it is a great opportunity to write about Binomial probability distributions. What is a binomial distribution and why we need to know it? Binomial distributions are formed when we repeat a set of events and each single event in a ...

This week, I will analyze Car Fuel Economy dataset from TidyTuesday. What is TidyTuesday? TidyTuesday is a weekly social data project in R organized by the R for Data Science community. It is a great way of improving your Data wrangling and visualization techniques, sharing and learning from others. You ...

It is hard to understand your data by looking at the numbers on a csv file. You need to plot it. And adding statistics to your plots will make it more informative. To evaluate data, we typically use mean and median to define its central tendency and range, quartiles, variance ...

Accessing different data sources Sometimes, the data you need is available on the web. Accessing those will ease your life as a data scientist. I want to perform an exploratory data analysis on 2018/19 Season of England Premier league. Are there changes in team performances during the season timeline? Does some ...

ggplot2 is a powerful data visualization tool of R. Make quick visualizations to explore or share your insights. Learning how aesthetics and attributes are defined in ggplot will give you an edge to develop your skills quickly. ggplot2 tips: distin...

We are much better at handling diseases than 30 years ago. For example cancer survival rates are much higher now. The significant portion of this increase can be attributed directly to our ability to detect and diagnose cancer earlier. Also, use of insulin and other drugs to control blood glucose in ...

My ambitious goal is to write a machine learning algorithm that predicts authors. But let’s start with something simpler. An important part in a Data Science workflow is data preparation. Clean it, reformat it and make it usable for further analysis. Figure 1: Photo by Patrick Tomasso on Unsplash I ...

Advances in microfluidic technologies enabled us to barcode single cells in lipid droplets and to resolve genomes of individual cells from a sequencing mixture (e.g, 10X Genomics). By using Single cell RNA sequencing (scRNA-seq) we can discover rare cell populations and genes that are specifically acting in those. Potential ...

This guide will help you to get your website online in a few minutes. Then, customize and add your own material in RStudio environment, push it to your Github repository and benefit from the continuous deployment feature of Netlify. It took me many ...