Towards AI

DECEMBER 18, 2024

Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. But how good it this tool now with charting data and with map images? Join thousands of data leaders on the AI newsletter.

Data Visualization 111

Data Visualization Python AI AI 111

Towards AI

DECEMBER 18, 2024

Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. But how good it this tool now with charting data and with map images? Join thousands of data leaders on the AI newsletter.

Data Visualization 97

Data Visualization Python AI AI 97

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Mlearning.ai

APRIL 25, 2023

Photo by Juraj Gabriel on Unsplash Data analysis is a powerful tool that helps businesses make informed decisions. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. df['rating'].replace(np.nan, Hope you enjoy this article.

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Towards AI

APRIL 7, 2024

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

Machine Learning 124

Machine Learning Machine Learning Exploratory Data Analysis EDA 124

Towards AI

NOVEMBER 17, 2023

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. JupyterHub: Used to wrangle, clean, and prepare the dataset for visualization. Data was taken for the last five years as Max Verstappen only joined f1 in 2015.

Data Science 119

Data Science Tableau Data Analysis Data Analysis 119

Towards AI

FEBRUARY 16, 2023

Data Analysis Project Guide — Use Pandas power to get valuable information from your data Photo by path digital on UnsplashThe Pandas library offers a wide range of capabilities for data science, including cleaning, visualization, and exploration. The data ranges from 2005 to 2015. head() method.

Data Analysis 52

Data Analysis Data Analysis Data Science Data Visualization 52