As promised, continuing my previous post about How to do one-sample t-test and Z-test as part of hypothesis testing in R, Python, and Google Spreadsheet, in this post, I will share how to do hypothesis testing if we want to compare two samples, paired and unpaired. …

What is hypothesis testing? Hypothesis testing is a statistical method using inference to decide whether the data we have is enough to support our hypothesis about something, against the population parameter. Too hard to understand? Me too! 😅 In human language, it’s a test to prove whether our…

What is EDA? EDA is one of the most important things we need to do as an approach to understand the dataset better. Almost all data analytics or data science professionals do this process before generating insights or doing data modeling. In real life, this process took…

Using propensity score matching (PSM) or Mahalanobis distance matching (MDM) — What is the downstream impact (DSI) calculation? Downstream impact calculation or DSI refers to an effect that results from any decision we made that could be a benefit if the effect is positive, or a loss if the effect is negative. Usually, we are using experiments such as A/B testing to know the effect that will be…

From August 2022 until May 2023, I am assigned to the Subscription team at the company I am working at. This service is a brand-new thing as part of the company’s grand plan to achieve positive revenue as soon as possible and increase the “loyalty” of the users at the…

Lately, I’ve been thinking a lot about how to effectively generate ideas that my co-workers might not have thought of because they don’t deal directly with the data owned by the company where I work. I started googling to find out, but nothing could satisfy my curiosity about this. After…

Hi guys, I would like to share about four types of data analytics that I know, and it’s common knowledge, I just want to share it based on my perspective. This topic will be very useful for any of you working in and with the analytics team. Descriptive analytics In short, descriptive…

Based on Wikipedia, correlation is any statistical relationship, whether causal or not, between two random variables or bivariate data. The keywords from the definition are relationship, causal or not, and between two variables. Let’s talk about it first before we jump into how to compute the correlation numbers. Relationship, causal or not, between two variables. It means…

Data visualization is the art of data analysis. It’s an important part of data exploration. …