Maybe you just started coding because your study includes it in your curriculum, maybe you just started your degree in computer science, or maybe you become interested in data science and you want to know how to get better in it. …
There must be a time when a data set is so big that it does not fit a csv or txt file. For example, in retail industries you may deal with customer records and sales information which usually are large in amount.
These kinds of data are stored and maintained…
As a biologist, I often deal with data. No matter how fluent I am in programming, deciding the steps for my analysis pipeline is always a trial and error. It sometimes requires referencing to other bibliographies and discussing with fellow researchers. My analysis pipeline always starts with the Exploratory Data…
I started learning data science as an environmentalist. Statistics was and will always be my first go-to tool to organize data for solving real-life problems.
I studied a branch of environmental science that rarely anyone could ever think of as their first option to enter university. I studied forest and…
Correlation is one of the statistics’ all time classic, yet it is still a busy measure that everyone uses in their analysis process. In classic interpretation, correlation is a measure of relationship or correspondence between two variables. This is usually visualized through a correlation plot and measured using correlation coefficient…
Why not start considering median and pay more attention to our standard deviation?
Disclaimer: This post is my thinking process of the statistical measures that I think should be paid more attention for. I am not an expert in statistics, and in this article I’m just sharing my opinion.
I…
