Data Science Dojo

APRIL 29, 2025

Typically, datasets can have errors, missing values, or inconsistencies, so ensuring your data is clean and well-structured is essential for accurate analysis. Data profiling helps identify issues such as missing values, duplicates, or outliers. Correcting these issues ensures your analysis is based on clean, reliable data.

Power BI 195

Power BI Analytics Analytics EDA 195

ODSC - Open Data Science

FEBRUARY 24, 2023

These tools will help make your initial data exploration process easy. ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

JULY 28, 2023

Integration also helps avoid duplication and redundancy of data, providing a comprehensive view of the information. Exploratory data analysis (EDA) Before preprocessing data, conducting exploratory data analysis is crucial to understand the dataset’s characteristics, identify patterns, detect outliers, and validate missing values.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91