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Having Streamlit Superpowers: The Best GPT-4 Prompts For Guaranteed Data Visuals

Towards AI

No-fuss prompting for error-free Python Streamlit data viz code How easy is it to create data visuals with GPT-4 and the Python Streamlit library? A little bit of fancy footwork with a good dataset and we can rattle off chart after chart (even maps) giving us in-depth analysis and stories for our data set.

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Simple GPT-4 Prompting For An Awesome Animated Streamlit App

Towards AI

Combine this with Python Plotly for your data visualizations and youve got beautiful maps and charts that can be animated with Streamlit tools. The UNHCR refugee dataset contains recently updated data on global displacement. We can find the raw data to download HERE.

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The 6 best ChatGPT plugins for data science 

Data Science Dojo

Data manipulation:  You can use the plugin to perform data cleaning, transformation, and feature engineering tasks. Data visualization:  You can use the plugin to create interactive charts, maps, and other visualizations. You can also upload and download files to and from ChatGPT with this feature.

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EDA on SuperStore Dataset Using Python

Analytics Vidhya

Table of Contents Introduction Working with dataset Creating loss dataframe Visualizations Analysis from Heatmap Overall Analysis Conclusion Introduction In this article, I am going to perform Exploratory Data Analysis on the Sample Superstore dataset. The link for the Dataset is: [link] You can download it […].

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Prompt GPT-4 For Authentic Data Visuals That Make You Look Like a Pro

Towards AI

The Global Forest Watch data set contains key statistics about global forests, including rates of forest change, forest extent and drivers of deforestation (found HERE). Click on the download icon to download the file. After you have downloaded the file, you will need to unzip it.

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Wikipedia as a walkable, virtual museum

FlowingData

You can download the museum to your desktop for major operating systems. Naturally, I went to the data visualization exhibit: It’s fun. Claire used the Godot game engine to make MoAT and Blender to model objects. The codebase is available on GitHub. You start in a lobby and can interact with a search console.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics. Five years ago, they may have.

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Drive Better Decision-Making with Data Storytelling

Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become commonplace. Which analytics features are replacing visualizations as “the next big thing”. Five years ago they may have. Proven approaches to achieving analytics maturity.