Remove 2020 Remove Data Analysis Remove Data Visualization
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Analysing World Happiness Report (2020-2022)

Analytics Vidhya

The World Happiness Report rates happiness on six indicators: positive emotions, […] The post Analysing World Happiness Report (2020-2022) appeared first on Analytics Vidhya. In line with the latest World Happiness Report, it is evident that being happy has become a worldwide priority.

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My GPT-4 Prompting Methods: The Why And How For Data Visualization

Towards AI

My methods of using GPT-4 to optimize my data visual workflow For the past 6 months, I have been a heavy daily GPT-4 user. I know it makes me sound like an addict, but I have found many good reasons and many excellent use cases where this tool is an invaluable resource for improving my data workflow.

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Announcing new Tableau Data Literacy curriculum for higher education

Tableau

Working with data is a necessity for most jobs, and analytical skills can be a huge differentiator for success across all kinds of work—whether corporate, nonprofit, or academic. Without closing the data skills gap, these challenges would continue into their professional lives. This course covers: The meaning of data literacy.

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Introduction

Towards AI

Exploratory Data Analysis Next, we will create visualizations to uncover some of the most important information in our data. The graph also shows that the transaction data exhibits seasonality, where around December and January, the monthly transactions usually drop. It is […]

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How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Data Visualization expert and author Kathy Rowell says that we should always ask “Compared to What?”,

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CDS Professors Juliana Freire and Cláudio T. Silva Receive IEEE VIS Test of Time Award

NYU Center for Data Science

Silva , have been honored with one of these awards for their groundbreaking paper on urban data visualization. Freire and Silva’s awarded paper, titled “ Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips ,” co-authored with Nivan Ferreira, Jorge Poco, Huy T.

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Beyond the Checkered Flag: F1 Statistics Explored

Towards AI

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. Read individual CSV files and combine them on race ID, constructor ID, driver ID, circuit ID, and status ID.