The Amazing World of Data: Exploring and Understanding Information

Title: The Amazing World of Data: Exploring and Understanding Information

Written by: Chijioke Iwuchukwu

Date: 5/26/2023

Introduction:

In today's world, there's a special way to learn about information called "data analysis." It helps us understand and discover interesting things from the facts and numbers we have. There are two important ways to do this: descriptive analysis and exploratory data analysis (EDA). Let's find out what they are and how they can help us learn cool stuff!

Descriptive Analysis: Painting a Picture

Descriptive analysis is like painting a colorful picture with our data. It helps us answer questions like "What happened?" or "What is it like right now?" To do this, we use special tools that help us understand the main things about the information we have.For example, imagine we have information about how many toys different kids have. Descriptive analysis helps us find out how many toys the average kid has, which kid has the most toys, or how the toys are distributed among the kids. We can use charts or graphs to show this information and make it easier to understand.

Exploratory Data Analysis: Discovering Surprises

Exploratory data analysis (EDA) is like going on an adventure to discover exciting things in our data. It helps us find patterns, connections, or trends that we might not have noticed before. EDA is all about asking questions like "Why did this happen?" or "What could be causing this?"To explore our data, we use special pictures and graphs. They show us how different things are related or if there's something unusual going on. By looking closely at these pictures, we can find interesting facts. For example, we might discover that when it's hot outside, more people like to eat ice cream. Isn't that fun?

Descriptive Analysis and EDA: A Powerful Team

Descriptive analysis and EDA work together like a superhero team to help us understand our data better. The descriptive analysis gives us a big picture view of the information, while EDA helps us explore and find exciting things hiding in the data.When we use these two techniques together, we can learn so much! We can make smarter decisions, find new ways to do things, or even discover things that nobody knew before. It's like having a superpower to understand the world around us!

Conclusion:

Data analysis is a super cool way to learn and understand information. Descriptive analysis helps us paint a colorful picture of our data, while exploratory data analysis takes us on an adventure to find surprises and interesting facts. By using these techniques together, we can become super smart and make amazing discoveries. So, let's put on our data explorer hats and start uncovering the secrets hidden in our data!

CHECK OUT MY GITHUB PAGE TO SEE SOME EDA AND DESCRIPTIVE ANALYSIS IN PRACTICE

GIT HUB PAGE :

EDA with Python GitHub : https://github.com/CeejayAnalyst/EDA/blob/main/BankData.ipynb

Descriptive Analysis SQL GitHub : https://github.com/CeejayAnalyst/EDA/blob/main/Banking_data.sql