Updating search results...

Search Resources

386 Results

View
Selected filters:
  • Information Visualization
Information Visualization Tutorials
Unrestricted Use
CC BY
Rating
0.0 stars

Information visualization is concerned with the visual and interactive representation of abstract and possibly complex datasets. As we encounter growing datasets in various sectors there is an increasing need to develop effective methods for making sense of data. Information visualization relies on computational means and our perceptual system to help reveal otherwise invisible patterns and gain new insights. Across various fields, there is great hope in the power of visualization to turn complex data into informative, engaging, and maybe even attractive forms. However, it typically takes several steps of data preparation and processing before a given dataset can be meaningfully visualized. While visualizations can indeed provide novel and useful perspectives on data, they can also obscure or misrepresent certain aspects of a phenomenon. Thus it is essential to develop a critical literacy towards the rhetoric of information visualization. One of the best ways to develop this literacy is to learn how to create visualizations! The tutorials offer a practical approach to working with data and to create interactive visualizations.

The tutorials require basic familiarity with statistics and programming. They come as Jupyter notebooks containing both human-readable explanations as well as computable code. The code blocks in the tutorials are written in Python, which you should either have already some experience with or a keen curiosity for. The tutorials make frequent use of the data analysis library Pandas, the visualization library Altair, and a range of other packages. You can view the tutorials as webpages, open and run them on Google Colab, or download the Jupyter notebook files to edit and run them locally.

Subject:
Computer Science
Information Science
Measurement and Data
Material Type:
Activity/Lab
Author:
Marian Dörk
Date Added:
08/26/2020
The Beauty of Data Visualization
Only Sharing Permitted
CC BY-NC-ND
Rating
5.0 stars

David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 18-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level.

Subject:
Journalism
Material Type:
Lecture
Provider:
TED
Provider Set:
TED-Ed
Author:
David McCandless
Date Added:
08/23/2010
Data Analysis: Take it to the MAX
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!

Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.

This course has been awarded with the Wharton-QS gold education award in the category Regional awards Europe.
We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs – all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

This course is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.

Subject:
Engineering
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. Felienne Hermans
Date Added:
08/01/2018
Data Analysis: Building your own Business Dashboard
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

Subject:
Engineering
Measurement and Data
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. Felienne Hermans
Date Added:
07/31/2018
Data Analysis: Coin Flipping
Read the Fine Print
Rating
0.0 stars

Using two different coins and recording the results of both coins helps students dispel this initial misconception as they analyze the graph results. Class discussion should focus on analyzing the data to determine if the game is fair or not. Directions and gameboard are included in the download.

Material Type:
Game
Provider:
Mathwire
Author:
Terry Kawas
Date Added:
02/16/2011
Data Analysis and Probability Games
Read the Fine Print
Rating
5.0 stars

These activities support students as they conceptually develop a sense of how probability affects the outcome of games. Students will find that applying their knowledge of probability will help them win some of the games

Material Type:
Game
Provider:
Mathwire
Author:
Terry Kawas
Date Added:
02/16/2011
Teaching Data Analysis in the Social Sciences: A case study with article level metrics
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This case study is retrieved from the open book Open Data as Open Educational Resources. Case studies of emerging practice.

Course description:

Metrics and measurement are important strategic tools for understanding the world around us. To take advantage of the possibilities they offer, however, one needs the ability to gather, work with, and analyse datasets, both big and small. This is why metrics and measurement feature in the seminar course Technology and Evolving Forms of Publishing, and why data analysis was a project option for the Technology Project course in Simon Fraser University’s Master of Publishing Program.

The assignment:

“Data Analysis with Google Refine and APIs": Pick a dataset and an API of your choice (Twitter, VPL, Biblioshare, CrossRef, etc.) and combine them using Google Refine. Clean and manipulate your data for analysis. The complexity/messiness of your data will be taken into account”.

Subject:
Information Science
Sociology
Material Type:
Case Study
Author:
Alessandra Bordini
Juan Pablo Alperin
Katie Shamash
Date Added:
03/27/2019
HE 220  - Intro: Epidemiology/Health Data Analysis Textbook
Unrestricted Use
CC BY
Rating
0.0 stars

Introduction to epidemiology and the use of elementary statistics for students in health-related studies. This course is designed to provide preparatory background for taking subsequent course in epidemiology and health data analysis offered by the Department of Public Health. This course introduces measure of disease frequency, analytical epidemiology, study designs, experimental design, and basic elements of descriptive statistics and inferential statistics.

Subject:
Health, Medicine and Nursing
Material Type:
Textbook
Provider:
Linn-Benton Community College
Author:
Kristi Murphey
Date Added:
07/09/2020
Data Analysis
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Math 4 Math 4 Data Intro. Data Analysis Data Analysis Introduction Key Terms

Subject:
Mathematics
Material Type:
Module
Provider:
Georgia Virtual
Author:
Georgia Virtual School
Date Added:
06/01/2018
Data Analysis Introduction
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Math 3 Data Intro. Data Analysis and Probability Data Analysis and Probability Introduction Data Analysis Data Analysis Introduction

Subject:
Mathematics
Material Type:
Module
Provider:
Georgia Virtual
Author:
Georgia Virtual School
Date Added:
06/01/2018
Data Analysis Assessments
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Math 3 Data Assess. Data Analysis and Probability Discussion Data Analysis and Probability Project Data Analysis and Probability Test Data Analysis Discussion Data Analysis Project Data Analysis Test Data Analysis Task Data Analysis and Probability Task

Subject:
Mathematics
Material Type:
Module
Provider:
Georgia Virtual
Author:
Georgia Virtual School
Date Added:
06/01/2018
OER-UCLouvain: LPHY2131 data analysis lab using CMS open data
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This assembles material for the LPHY2131 data analysis lab at UCLouvain. The documentation covers the three sessions of the laboratory and provides some additional information. The results that are obtained in this lab can be compared to the published cross-section measurement for the Z and W at the LHC, at 7TeV, by the CMS collaboration: Measurement of the Inclusive W and Z Production Cross Sections in pp Collisions at sqrt(s) = 7 TeV

Subject:
Physical Science
Material Type:
Lecture Notes
Provider:
OER-UCLOUVAIN
Author:
DELAERE Christophe
Date Added:
03/23/2018
Qualitative Data Analysis
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course emphasizes the analysis of ethnographic and other forms of qualitative data in public health research. We introduce various interpretive analytic approaches, explore their use, and guide students in applying them to data. We also introduce the use of computer software for coding textual data (Atlas.ti). Students analyze data they have collected as part of fieldwork projects initiated in 410.690 and write up the results in a final paper. Classroom sessions include lectures, discussions, intensive group work related to the fieldwork projects, and instruction in the computer lab.

Subject:
Health, Medicine and Nursing
Material Type:
Full Course
Homework/Assignment
Lecture Notes
Reading
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Katherine Fritz
Date Added:
01/15/2008
Data Analysis
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The applet in this section allows for simple data analysis of univariate data. Users can either generate normal or uniform data for k samples or copy and paste data from another source to a text box. A univariate analysis is performed for all k samples.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
C. Anderson-Cook, S. Dorai-Raj, T. Robinson, Virginia Tech Department of Statistics
Date Added:
02/16/2011
Data Analysis and Probability
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Math 2 Shared Math II Data Analysis. Data Analysis Investigation Find the Measures of Central Tendency Find the Measures of Dispersion Using Technology to Find the Measures of Cental Tendency Find the Normal Distribution Using a Calculator for Random Sampling Sample Data and Population Problems Using Technology to Find the Measures of Central Tendency and Using Technology to Find the Measures of Central Tendency Homework Quiz and Using Technology to Find the Measures of Central Tendency Review and Quiz

Subject:
Mathematics
Material Type:
Module
Provider:
Georgia Virtual
Author:
Georgia Virtual School
Date Added:
06/01/2018
Data Analysis Revisited
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Acc Math I ACCL Math II Data Analysis Revisited. Data Analysis Revisited Investigation Scatter Plots and Best Fitting Lines Quadratic Functions and Models Choose the Best Model for TwoVariable Data with Technology and Choose the Best Model for TwoVariable Data with Technology Homework Quiz and Choose the Best Model for TwoVariable Data with Technology Review and Quiz Scatter Plots and Best Fitting Lines and Quadratic Functions and Models Homework Quiz Scatter Plots and Best Fitting Lines and Quadratic Functions and Models Review and Quiz Making the Connection Scatter Plots and Best Fitting Lines and Quadratic Functions and Models Assignment Check

Subject:
Mathematics
Material Type:
Module
Provider:
Georgia Virtual
Author:
Georgia Virtual School
Date Added:
06/01/2018