Utilizing and Implementing YData Profiling
We are using a sample dataset of adults available on the internet and to analyze we will be using Ydata-Profiling.
After compiling the code we will get a html file that will display the complete data analysis. Download the HTML file below and preview it in your browser.
import pandas as pd
from ydata_profiling import ProfileReport
# Load dataset from UCI Machine Learning Repository
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data"
columns = [
"age", "workclass", "fnlwgt", "education", "education-num", "marital-status",
"occupation", "relationship", "race", "sex", "capital-gain", "capital-loss",
"hours-per-week", "native-country", "income"
]
data = pd.read_csv(url, names=columns, na_values=' ?', skipinitialspace=True)
# Create a profile report
profile = ProfileReport(data, title="Adult Income Dataset Report")
# Display the profile report in a Jupyter notebook or JupyterLab
profile.to_widgets()
# Save the profile report to an HTML file
profile.to_file("adult_income_report.html")
Output:
Unlocking Insights with Exploratory Data Analysis (EDA): The Role of YData Profiling
Exploratory Data Analysis (EDA) is a crucial step in the data science workflow, enabling data scientists to understand the underlying structure of their data, detect patterns, and generate insights. Traditional EDA methods often require writing extensive code, which can be time-consuming and complex. However, YData Profiling, formerly known as Pandas Profiling, offers a streamlined and efficient alternative. This article explores the role of YData Profiling in EDA, highlighting its features, advantages, and practical applications.
Table of Content
- What is YData Profiling?
- How Ydata Profiling works?
- Installation and Setup YData Profiling
- Utilizing and Implementing YData Profiling
- Profiling Large Datasets in YData Profiling
- Integration Capabilities of YData Profiling for Diverse Workflows
- Customizing YData Profiling Reports for Enhanced Insights
- Advantages and Disadvantages of YData Profiling