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AI, or artificial intelligence, has now become a trending topic in multiple niches and multiple fields of science and development. It has also become one of the best development tech tools across the globe. As it has begun trending so often, there is a huge rise in demand for the same. Job seekers, developers, architects, and all other fields of technical development have now begun to adapt to artificial intelligence for their companies. https://www.sprintzeal.com/blog/future-of-artificial-intelligence

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How to get the highest score in Cupcake 2048?

Cupcake 2048 is a modified version of the viral popular 2048 game. While 2048 utilizes integers as the grid value, Cupcakes 2048 uses lovely pictures of cupcakes. If you like puzzle games that allow you to test/improve your brain and creative skills, this game is for you.

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Menti Meter

Online question system that's interactive.

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Ann Bessenbacher onto Combo Test Collection

Menti Meter

Online question system that's interactive.

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Data Visualization Checklist from Stephanie Evergreen and Ann K. Emery

This checklist is meant to be used as a guide for the development of high impact data visualizations. Rate each aspect of the data visualization by circling the most appropriate number, where 2 points means the guideline was fully met, 1 means it was partially met, and 0 means it was not met at all. n/a should not be used frequently, but reserved for when the guideline truly does not apply. For example, a pie chart has no axes lines or tick marks to rate. If the guidelines has been broken intentionally to make a point, rate it n/a and deduct those points from the total possible. Refer to the Data Visualization Anatomy Chart on the last page for guidance on vocabulary and the Resources at the end for more details.   by Stephanie Evergreen & Ann K. Emery May 2016

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Evaluation Report Layout by Stephanie Evergreen

This checklist is meant to be used as a diagnostic guide to identify elements of evaluation reports that could be enhanced using graphic design best practices and/or the assistance of a graphic design expert. Suggestions are best suited for those using standard Microsoft Word software.

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likert bar chart

R Visualizations

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A few organizations might mistake SAP® CRM for SAP® C4C. However, what precisely is the distinction? 

C4C represents Cloud for client. This is a cloud answer for help organizations to oversee client support, deals and advertising exercises productively. 

SAP® CRM is HTML-based and includes generally the ABAP programming language. Then again, C4C is a cutting edge item that is HTML5-fueled. This is the place where the distinctions come in. C4C offers organizations a tastefully satisfying and natural interface, though SAP® CRM gives a less ergonomic and more straightforward work area look and feel. Subsequently, numerous organizations select SAP® CRM, in light of the fact that it is simpler to utilize, oversee and keep up with.

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Recyclable customized bags

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LASER PULSE Certificate course required for RFA application on Research Translation.

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Under and Over Representation of Countries

Comparison of the number of observed vs expected responses in the DVS 2020 Census per country based on population.

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Comparison of percentages of respondents who have indicated a given job frustration grouped into years of different experience.

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Usage of and Relationships among Data Visualization Tools

Chart and map of the usage and relationship of data visualization tools in different regions.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Purdue Libraries Open Access Fund

Information on Purdue Libraries open access publication fund.

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Ann Bessenbacher onto Open Access Journal Information

likert bar chart

Likert is an R package designed to help analyzing and visualizing Likert type items. It has been developped by Jason Bryer and Kim Speerschneider.

This barplot comes from the demo page and has been sent by Carlos Ortega.

It allows to analyse the reading attitudes from a panel of people. Each line represents a question. The barplot explains the feeling of people concerning this question.

 

# library
library(likert) 
 
# Use a provided dataset
data(pisaitems) 
items28 <- pisaitems[, substr(names(pisaitems), 1, 5) == "ST24Q"] 
 
# Build plot
p <- likert(items28) 
plot(p)

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Ann Bessenbacher onto R Visualizations

Graphs of percentage of respondents split into multiple groups

Graphs of how groups of different experience levels differ in software use, job frustrations, and more.

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Kyle Steven Habig onto DVS Census 2020 Visualizations

Learning Data Vis Circle Graphic

Graphic of circles to visualize ways people learn data visualizations.

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Ann Bessenbacher onto DVS Census 2020 Visualizations

Brief overview and instructional video for designing training toward research translation for your projects.

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Tilahun Shiferaw Shibeshi onto Youth

Results Laser Pulse Gender Analysis

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Melisew Dejene Lemma onto Laser Pulse training

A Differential Focus in Planning Translational Research for Development

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Melisew Dejene Lemma onto Youth

A Differential Focus in Planning Translational Research for Development

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Geta Walelign Debebe onto Laser Pulse

LASER PULSE Certificate course required for RFA application on Research Translation.

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Geta Walelign Debebe onto Laser Pulse

LASER PULSE Certificate course required for RFA application on Research Translation.

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