In the present era, marked by the extensive adoption of wearable technology like smartwatches, smartphones, and wristbands, there arises an increasing necessity to comprehend user behaviors and t...
Today I would like to analyze a super interesting dataset about heart disease. The dataset has been taken from the Kaggle website. The dataset presents 18 columns categories and the column names a...
Introduction - What is A/B testing? A/B testing, also known as split testing, is a method used to compare two versions of something to determine which one performs better. It’s commonly used in va...
Today, I aim to blend two potent tools: Python (my usual go-to) and Tableau (as evidenced by my recent posts). Each excels in its own realm—Python for analysis in the domains of data science and da...
Today we will continue with analyzing the Kaggle dataset titled ‘Comprehensive Loan Information for Credit Risk’. As we go over the dataset we can notice 2 super important columns: “sub_grade” and...
In our previous discussion, we explored two primary inquiries: identifying the states where residents tend to borrow the most and determining the most active loan-taking region among the Northeast,...
Today, we’re delving into a financial dataset centered on the topic of ‘Loans’. Obtained from Kaggle, this dataset titled ‘Comprehensive Loan Information for Credit Risk’ comprises an extensive arr...
Today, I’ll be concluding the final post in a series of three, demonstrating the superiority of advanced data visualization tools like Tableau software compared to others available in the market. ...
Today, I’m taking a brief detour from my usual Python-centric writing to delve into data visualization with Tableau software. To kick off this exploration, I’ve selected an intriguing dataset from ...
Today, our analysis extends to Kaggle-derived data, providing insights into the pricing trends of food items in Israel spanning several decades. In the initial post, the focus was on vegetables, f...