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Interactive Plots in Python with Plotly: A complete Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Data Visualization Plotting and data representation is an important part of the data-driven decision-making process and the whole data science roadmap. The visual representation of data makes understanding […].

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How To Present Your Market Research Results And Reports In An Efficient Way

datapine

However, today’s business world still lacks a way to present market-based research results in an efficient manner – the static, antiquated nature of PowerPoint makes it a bad choice in the matter, yet it is still widely used to present results. How To Present Your Results: 3 Market Research Example Dashboards.

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25+ Tableau Interview Questions

Analytics Vidhya

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

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4 Data-Driven Ways to Improve Employee Engagement

datapine

Also, a great way to collect employee engagement data is using Gallup’s Q12 survey , which consists of 12 carefully crafted questions that gauge the most crucial aspects of employee engagement. The results can later be displayed in an interactive HR report.

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Dashboard Storytelling: From A Powerful To An Unforgettable Presentation

datapine

In the contemporary world of business, the age-old art of storytelling is far from forgotten: rather than speeches on the Senate floor, businesses rely on striking data visualizations to convey information, drive engagement, and persuade audiences. . Download our 10-step checklist and see how to tell the best data story.

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Call Center Dashboard – Reporting & Analytics In Our Data-driven World

datapine

That said, to improve the overall efficiency, productivity, performance, and intelligence of your contact center you will need to leverage the wealth of digital data available at your fingertips. And the best way to do so is by using digital dashboards and a modern online reporting tool.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.