In this article, we’ll discuss how combining data with intuition can help with the subjective and interpretive nature of Exploratory Data Analysis (EDA). When you combine data with intuition, it’s like putting together pieces of a puzzle. The data provides the pieces, and your intuition helps you figure out how they fit together. By using […]
Today, we’ll be talking about the state of mind you should have when performing Exploratory Data Analysis (EDA). When performing EDA, it’s essential to have an open and curious state of mind. It’s like being an explorer, setting out to discover new lands and see what you can find. By approaching the data with an […]
Data analysis can be a complex and daunting task, especially when dealing with large amounts of data. To make sense of it all, it’s important to create visual representations of the data using exploratory charts. In this article, we will explore best practices when creating exploratory charts, as well as common pitfalls to avoid. […]
Today, we’ll be talking about the different types of Exploratory Data Analysis (EDA). EDA is a way of exploring data through visual summaries and graphics, and there are several different types of EDA to choose from. The three main types of EDA are univariate, bivariate, and multivariate EDA. Let’s break down what each of these […]
In this article, we’ll discuss summarizing data in Exploratory Data Analysis (EDA). There are two main methods for summarizing data: numerical and visual. Numerical summaries involve using descriptive statistics to summarize the data. Descriptive statistics can help you understand the central tendency of the data (like the average), the spread of the data (like the […]
Today, we’ll discuss how Exploratory Data Analysis (EDA) can help you answer important questions about your data. First, let’s talk about how EDA can help you answer the question, “Do I have the right data?” Imagine you’re trying to bake a cake, but you don’t have all the right ingredients. EDA is like checking to […]
In this article, we’ll discuss Exploratory Data Analysis (EDA) and its purpose in helping us understand our data. The purpose of EDA is to help us gain insights into our data and identify patterns, relationships, and outliers that might not be immediately apparent. Think of it like being a detective and trying to uncover the […]
Today, we’ll be talking about the general steps involved in Exploratory Data Analysis (EDA). Step 1: Generate questions The first step in EDA is to generate questions about your data. Just like a detective, you want to know everything there is to know about the data. What is it about? What kind of patterns might […]
Exploratory Data Analysis (EDA) is a way of learning about data through visual summaries and graphics rather than just following a set of rules. Think of EDA as a treasure hunt! You have a map with a bunch of clues, but you don’t know exactly where the treasure is. EDA is like using clues to […]
Hey there! It’s Chip, and today, we’re going to talk about outliers! 📊 👀 What are outliers? Outliers are data values that are very different from most of the other data values in a distribution. They can occur due to errors in data collection, measurement, or recording, or they can be caused by unusual or […]
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