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 […]
When it comes to visualizing data, a box plot and a violin plot are two common ways to show the distribution of the data. They have some similarities but also some differences. A box plot is a chart that shows the middle 50% of the data using a box. It also shows the minimum and […]
When it comes to visualizing data, histograms and density plots are two ways to show the distribution of the data. They have some similarities but also some differences. Here’s a quick rundown on density plots vs histograms. What Does a Histogram Show? A histogram is a chart that shows how many times each value appears […]
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