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Exploratory Data Analysis (EDA) is a crucial step in the data analysis process that involves studying, exploring, and visualizing data to derive important insights. EDA helps in understanding the main characteristics of the data, detecting patterns, and uncovering relationships through visual and statistical techniques12.
Steps to Perform EDA in Python
1. Importing Libraries
To begin with EDA, you need to import essential Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. These libraries provide tools for data manipulation, numerical computations, and visualizations.
import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as snsimport warningswarnings.filterwarnings('ignore')2. Loading the Data
Load the dataset into a Pandas DataFrame. For example, if you have a CSV file, you can use the read_csv() function.
data = pd.read_csv("used_cars.csv")3. Initial Inspection
EDA | Exploratory Data Analysis in Python - GeeksforGeeks
Understanding and experimenting with our data using libraries is the first step in utilizing Python for machine learning. The dataset can be accessed via this link. See more
Gaining general knowledge about the data—including its values, kinds, number of rows and columns, and missing values—is the primary objective of data understanding. shape: shape will show how many features (columns) and observations (rows) … See more
Output: The code df.isnull().sum()checks for missing values in each column of the DataFrame ‘df’ and returns the sum of null values for each column See more
In Univariate analysis, plotting the right charts can help us better understand the data, which is why data visualization is so important. Matplotlib and Seaborn libraries are used in this post … See more
Output: The functiondf.nunique() determines how many unique values there are in each column of the DataFrame “df,” offering information … See more
Exploratory Data Analysis using Python - Analytics Vidhya
Exploratory Data Analysis (EDA) with NumPy, Pandas, Matplotlib …
Dec 26, 2024 · Let's implement complete workflow for performing EDA: starting with numerical analysis using NumPy and Pandas, followed by insightful visualizations using Seaborn to …
Exploratory data analysis in Python.
So in this tutorial, we will explore the data and make it ready for modeling. 1. Importing the required libraries for EDA. Below are the libraries that are used in order to perform EDA...
Exploratory Data Analysis Python and Pandas with Examples
- count: 18.000000
- min: 5.000000
- mean: 12.222222
- std: 4.608886
- Load Data and Initial Analysis. First we will import the needed libraries and then load the …
- Initial Analysis of Pandas DataFrame. We will check the data by using the following …
- Dimension and data types of DataFrame. Next we will use several Pandas methods in order …
- Statistics - min, max, mean, percentile. We can get useful statistics for numeric and non …
- Inspect single column of DataFrame. df.diet.nunique() returns the number of unique values …
How to Perform Exploratory Data Analysis (EDA) Using Python: …
In this article, we’ll explore exploratory data analysis with Python. We’ll use tools like pandas, Matplotlib, and Seaborn for efficient EDA. By the end, you’ll know how to use these tools in …
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Python Exploratory Data Analysis Cheat Sheet
Aug 28, 2023 · Get a quick overview of exploratory data analysis, a process used to summarize your dataset and get some quick insights. We’ll give you the tools and techniques you need in this cheat sheet. Exploratory data analysis (EDA) …
Exploratory Data Analysis Projects with Python Code: From …
Mar 23, 2025 · Whether you’re a beginner looking to clean your first dataset or an experienced data scientist exploring time-series anomalies, you’ll get hands-on projects that simulate real …
Exploratory Data Analysis (EDA) with Python: A Hands …
May 29, 2024 · Exploratory Data Analysis (EDA) is an essential first step in any data analysis project. It helps you understand your data, identify patterns, and uncover insights. In this hands-on guide,...
Exploratory Data Analysis (EDA) in Python: Ultimate …
All the Key Points... What is Exploratory Data Analysis (EDA)? 1. Setting Up the Environment. 2. Importing Libraries. 3. Loading the Dataset. 4. Understanding the Dataset. 5. Handling Missing Values. 6. Data Visualization. 7. Feature …
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