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Anomaly Detection on Google Stock Data 2014-2022

Analytics Vidhya

In this project, we’ll dive into the historical data of Google’s stock from 2014-2022 and use cutting-edge anomaly detection techniques to uncover hidden patterns and gain insights into the stock market.

Marketing 343
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Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use. Let’s assume you have the right data and the right data visualization software. Distribution.

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What is data visualization? Presenting data for decision-making

CIO Business Intelligence

Data visualization definition. Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way!

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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Celebrating Women in Data Visualization

Juice Analytics

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Hull House Chicago Maps by Florence Kelley go-wage-maps/.

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Closing Data's Last-Mile Gap: Visualizing For Impact!

Occam's Razor

Experiment with visualization options, even in Excel! Consider experimenting with different visuals in Excel ( or D3js ). Once you arrive at that conclusion, you’ll apply principle #4 and realize that the most interesting data on this slide is not the visual… Rather, it is the table on the top right corner of the slide.