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Learn Data Analysis with Julia

KDnuggets

Setup the environment, load the data, perform data analysis and visualization, and create the data pipeline all using Julia programming language.

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Utilizing Pandas AI for Data Analysis

KDnuggets

Bring the latest AI implementation to Pandas to improve your data workflow.

Utilities 158
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5 Ways You Can Use ChatGPT Vision for Data Analysis

KDnuggets

Enhances data analysis by interpreting visual data, including math formula, data extraction, evaluating the results, dashboards, and charts.

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A Guide to Data Analysis in Python with DuckDB

KDnuggets

Learn how to perform data analysis in Python using DuckDB.

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How to Build Data Experiences for End Users

Data literate: Users have a comfort level of working with, manipulating, analyzing, and visualizing data. Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions. Download the eBook to learn about How to Build Data Experiences for End Users.

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10 Essential SQL Commands for Data Analysis

KDnuggets

What are essential commands for data analysis in SQL? This article will answer this question by mentioning 10 SQL commands. As a bonus, well add some other SQL commands that are not that common but will certainly add flexibility to your analyses.

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Geospatial Data Analysis with Geemap

KDnuggets

A Python library for creating interactive maps with Google Earth Engine and ipyleaflet.

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Drive Better Decision-Making with Data Storytelling

Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most. A good data story is formed by three components: Data analysis - This is the basis of a strong story and mastering the data is an essential part of the process.