ODSC - Open Data Science

FEBRUARY 24, 2023

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. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Towards AI

JANUARY 27, 2023

Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business. EDA is an iterative process, and is used to uncover hidden insights and uncover relationships within the data. Let me walk you through the definition of EDA in the form of a story.

Exploratory Data Analysis 94

Exploratory Data Analysis Data Analysis Data Analysis EDA 94

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 129

ML ML AWS AI 129

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) EDA: Calculate overall churn rate. It involves handling missing values, correcting errors, removing duplicates, standardizing formats, and structuring data for analysis.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

SEPTEMBER 12, 2024

Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries. Business Intelligence (BI): Analysing data to support decision-making and improve business performance.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52