Statistical charts and diagrams
Data and information visualization (data viz or info viz) is an interdisciplinary field that deals with the graphic representation of data and information. It is a particularly efficient way of communicating when the data or information is numerous as for example a time series. It is also the study of visual representations of abstract data to reinforce human cognition. The abstract data include both numerical and non-numerical data, such as text and geographic information. It is related to infographics and scientific visualization. One distinction is that it's information visualization when the spatial representation (e.g., the page layout of a graphic design) is chosen, whereas it's scientific visualization when the spatial representation is given. From an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). The mapping determines how the attributes of these elements vary according to the data. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. Since the graphic design of the mapping can adversely affect the readability of a chart, mapping is a core competency of Data visualization. Data and information visualization has its roots in the field of statistics and is therefore generally considered a branch of descriptive statistics. However, because both design skills and statistical and computing skills are required to visualize effectively, it is argued by authors such as Gershon and Page that it is both an art and a science. Research into how people read and misread various types of visualizations is helping to determine what types and features of visualizations are most understandable and effective in conveying information. (Wikipedia).
This video introduces data visualization as a tool for exploring and communicating with data. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Data Visualization: Types of Data
Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Top 10 Data Visualization Tools | #data #programming
Don’t forget to subscribe! This tutorial is about the Top 10 data visualization tools that you can use for data visualization. 00:00 Introduction 00:40 Visme 00:59 Tableau 01:20 Infogram 01:33 Datapine 01:49 Whatagraph 02:05 Sisense 02:23 DataBox 02:43 ChartBlocks 03:01 DataWrapper 03:1
From playlist Programming Tutorials
7.2.5 An Introduction to Visualization - Video 3: What is Data Visualization?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Why it is useful use data visualization. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
From playlist MIT 15.071 The Analytics Edge, Spring 2017
Data Visualization with D3, by Athena Braun
Data comes in many forms, but rarely is large spreadsheet the easiest way to glean information from it. Data visualization is a growing field in which researchers look for the best ways to show off their findings in digestible and even fun presentations. D3 is a powerful JavaScript library
From playlist CS50 Seminars 2018
Is Data Visualization Important for Data Science? (A Data Scientist's Perspective)
Check out atoti yourself here! https://docs.atoti.io/latest/installation.html In this video I talk about why data visualization is integral to the success of data scientists, machine learning engineers, and data analysts. Why Data vis is important for these roles 1) It helps us to unde
From playlist Data Science Beginners
Top 10 Data Visualization Tools in 2020 | Best Tools for Data Visualization | Edureka
🔥Edureka's Business Intelligence Masters Program: https://www.edureka.co/masters-program/business-intelligence-certification This Edureka video on Top 10 Data Visualization Tools in 2020 will talk about the Data Visualization tools in a comprehensive fashion and list the top picks of the y
From playlist Power BI Tutorial Videos | Edureka
RT/DSC - Eric Wernert talks about scalable and distributed visualization using Paraview
Eric Wernert gives a talk about scalable and distributed visualization using Paraview at the Big Data for Science workshop held at the Pervasive Technology Institute, Indiana University. This event was put on by PTI's Digital Science Center July 26th - July 30th, 2010. For more informat
From playlist Digital Science Center (DSC)
Stanford Seminar - The Power of Visual Representations
Fanny Chevalier University of Toronto February 18, 2022 When designing visual content in user interfaces, it is crucial to recognize that the choice of the representations used to display information and concepts plays a critical role in how we perceive, interpret, learn and reason abou
From playlist Stanford Seminars
For the latest information, please visit: http://www.wolfram.com Speaker: Nirmal Malapaka Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and more.
From playlist Wolfram Technology Conference 2016
Tutorial: Data Visualization - Santiago Lombeyda - 6/24/2019
AstroInformatics 2019 Conference: Data Science and X-informatics http://astroinformatics2019.org/
From playlist AstroInformatics 2019 Conference
The beauty of data visualization - David McCandless
View full lesson: http://ed.ted.com/lessons/david-mccandless-the-beauty-of-data-visualization David McCandless turns complex data sets, like worldwide military spending, media buzz, and Facebook status updates, into beautiful, simple diagrams that tease out unseen patterns and connections
From playlist Visualizing Data
SOURCE Boston 2008: All the Data That's Fit to Visualize
Speaker: Raffael Marty - Splunk With the ever-growing amount of data collected in IT environments, we need new methods and tools to deal with them. Event and Log Analysis is becoming one of the main tools for analysts to investigate and comprehend the state of their networks, hosts, appli
From playlist SOURCE Boston 2008
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary