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 […]
Hey there! It’s Chip, and today, we’re going to talk about how to create a frequency table! 📊 A frequency table is a way to organize and summarize data by showing how many times each value or group of values appears in the dataset. Here are the steps to create a frequency table: 📈 Step […]
Hey guys! It’s Chip, and I’m here to talk about frequency distributions and frequency tables! 📊 Family ID Number of Pets Relative Frequency Percentage Percentiles 1 4 0.4 40% 100th 2 3 0.3 30% 60th 3 2 0.2 20% 30th 4 1 0.1 10% 10th 5 0 0 0% 0th 📈 Frequency Distribution: A frequency […]
Hey guys! It’s Chip, and I’m here to talk about descriptive statistics! 📊 Descriptive statistics are used to summarize and describe data. The goal of descriptive statistics is to provide a quick and easy way to understand the data and to identify any patterns or trends. So, what are the two main things that descriptive […]
Variability, skewness, and kurtosis are all ways to describe different characteristics of a distribution. 📈 Variability: Variability refers to how spread out the data is. A distribution with high variability has a wide range of values, while a distribution with low variability has a narrow range of values. For example, if we look at the […]
A bar chart is a chart that shows the frequency of values in a dataset using bars. The height of each bar represents the frequency of values in that category. So, how are the heights of the bars in a bar chart related to values in a frequency table? Well, a frequency table is a […]
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