YIGIT ASIK, Data Scientist

Man on a Mission: May-June 2025

monthly

Another month has passed. In these monthly posts, I won’t dive deep into every little bit of stuff that I studied during the month (that would be impossible), what I’ll try…

Navigating Through Euroleague Shiny App

Sports Analytics

I recently shared my shiny app related to Euroleague Basketball on LinkedIn. Now, I want to elaborate a bit on its sections.

Man on a Mission: March-April 2025

monthly

Another month has passed. In these monthly posts, I won’t dive deep into every little bit of stuff that I studied during the month (that would be impossible), what I’ll try…

How To Structure A Shiny App: Brief Overview

Code

2-cents

I’ve been working with Shiny Apps for a while, primarily using them to develop basketball analytics tools (example here). Recently, I started building a new version (live app…

How To Automatize Your Tasks

Code

Last Sunday, I spent my whole day automatizing my sports analytics codes to run weekly. During the season, I need to update the data regularly which was holding me back from…

Man on a Mission: February 2025

monthly

Another month has passed. In these monthly posts, I won’t dive deep into every little bit of stuff that I studied during the month (that would be impossible), what I’ll try…

Intuitive Conceptual Framing For Summary Statistics

Stats

In statistics and data science, there is a pattern of trying to boil down things into a single number. Mean and variance fit well to that pattern. Let’s take a look at them…

Nicer Contour Plots

Visualization

I’m going to keep it short this week, been studying a lot lately (you may see more deep learning and explainable AI posts from me in the future). Anyway, let’s dive:

What’s an Interaction Effect? An example

Stats

Inference

Some time ago, I had the chance to get my hands on some NBA data from 2013–14 and 2014–15 season. Back in the day SportsVu was the provider for the NBA data (it changed in…

How Basketball Analytics May Have An Effect on Your Analytics Job

Sports Analytics

2-cents

I don’t know if you have watched Moneyball (if you haven’t, you should), there are great monologues (mainly from Jonah Hill’s character) that point out the main purpose of…

Bayesian Way - Predictions Out of Posterior Distribution

Stats

Bayesian

In the previous post, the model was fit using a grid approximation for likelihood calculation under each hypothesis (i.e., for each pair of parameters). Now, let’s take a…

Man on a Mission: January 2025

monthly

As I promised at the start of the year, here’s what I have studied this month.

Understanding Model Fitting with Likelihood

Stats

Bayesian

In daily life, “probability” and “likelihood” are used interchangeably. But, they don’t refer to the same thing. I believe the most intuitive way to distinguish both is by…

Understanding Distribution of log(odds ratio) Through Simulation

Stats

Inference

I wanted to put this example out because one of my colleague asked me a question about result table of logistic regression. Back in the day while I was watching the video…

Which p-values to expect under different realities?

Stats

Inference

Statistics classes in social sciences, during an undergraduate degree, revolve around p-values mainly. Despite that, I have never seen the mention of p-value distributions.…

Bayesian Updating: Poisson & Gamma

Stats

Bayesian

Sports Analytics

The following example is taken from Allen Downey’s Think Bayes. I believe this is a great one to show how to update priors.

An Intro Example to Bayes’ Theorem

Stats

probability

Bayesian

Imagine that you and I are playing a guessing game. I have two dice, 12-sided and 6-sided, and I am holding them in both of my hands. You are trying to guess which hand has…

Man on a Mission: Starting 2025

monthly

Some time ago, I stumbled upon the website Less Certainty, More Inquiry. If you click on the link, you’ll see that Darryl Blackport shares what he listens to or reads every…

What Happens to Sample Statistics?

Stats

Let’s start from the basics: The idea is to gather data to make an inference about the population. We use what we know (sample data) to estimate what we don’t (population).

Welcome To My Blog

news

This is the first post in a Quarto blog. Welcome!