What is Data Visualization in 3 minutes ? | ข่าวสารล่าสุดเกี่ยวกับ data visualization

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What is Data Visualization in 3 minutes ?


What is Data Visualization?

Data is an increasingly potent tool at the negotiating table. The expectations have moved beyond manipulating headline figures to detailed correlation analysis. Travel managers and buyers are looking at data on total spend, compliance with policy and preferred booking channels, missed savings, advance booking windows, and online adoption across several dimensions.

It’s time for an overhaul of the phrase, a picture is worth a thousand words, because today’s travel manager will tell you that data visualization is worth millions of dollars.

Egencia Business Travel Academy
Learn the basics of Business Travel with Egencia.

We travel on business for all sorts of reasons: to close the deal, to meet the team or to meet the customer. Sometimes, it means a suite with a fantastic view, more often it doesn’t. In the end, no matter where you’re going, whether it’s exotic or ordinary, business travel is work. And it’s our job to make it easier for you. We do that by making it faster through our innovative technology. Whether you’re arranging travel for others; or overseeing budgets, policy, compliance and traveler safety. And above all else, we strive to give travelers solutions that solve their problems, surprise them with efficiency and delight them in experience. As the line between our business and personal lives blur, shouldn’t we demand the same innovation we see in our homes, at our workplace? Shouldn’t your travel partner ask every day if it’s possible there, why not here? As part of Expedia Group, the world’s largest online travel company, Egencia has the most relevant inventory for your business travel needs. We combine this with first class customer service. We are here when your travelers need us the most. At Egencia, our promise to you is simple. It is all about you and always will be.

Check us out on http://www.egencia.com and get in touch.

What is Data Visualization in 3 minutes ?

The beauty of data visualization David McCandless


View full lesson: http://ed.ted.com/lessons/davidmccandlessthebeautyofdatavisualization

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. Good design, he suggests, is the best way to navigate information glut and it may just change the way we see the world.

Talk by David McCandless.

The beauty of data visualization  David McCandless

Top 10 Data Visualization Tools in 2020 | Best Tools for Data Visualization | Edureka


🔥Edureka’s Business Intelligence Masters Program: https://www.edureka.co/mastersprogram/businessintelligencecertification
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 year 2020.

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How does it work?

1. This is a 25 Week curriculum with Instructorled and selfpaced courses.
2. We have a 24×7 OneonOne LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to work on a project, based on which we will provide you with a Grade and a Verifiable Certificate for each course you’ve completed!

About the Course

The Edureka Business Intelligence Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into a complete Business Intelligence professional by making you expert in Data Warehousing, Data Modeling, Teradata, MongoDB, Informatica, Talend, BI tools like MSBI, IBM Cognos, MicroStrategy, PentahoBI, Data Visualization and Reporting tools like Tableau, QlikView & Power BI. Individual courses focus on specialization in one or two specific skills, however if you intend to become a complete Business Intelligence professional, then this is the path for you to follow.

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Who should go for this Course?

The Business Intelligence Masters Program at Edureka is for all the professionals who are passionate about business intelligence, data visualization, and data analytics.

For example:
Business Analysts
Business Intelligence Manager
Statisticians and Analysts
Data Scientists
Project Managers

Why learn BI?

BI helps Business Analysts, Business Intelligence Manager, Statisticians & Analysts, Project Managers and Data scientists to visualize and share insights from their organizations’ data.

It provides interactive visualizations with selfservice business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on any information from technology staff or database administrator. They can also drill down the data and draw insights from them to give their company that edge which propels them forward in this competitive market.

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (tollfree).

Top 10 Data Visualization Tools in 2020 | Best Tools for Data Visualization | Edureka

Data Visualization Tutorial For Beginners | Big Data Analytics Tutorial | Simplilearn


🔥Free Data Science Course: https://www.simplilearn.com/gettingstarteddatasciencewithpythonskillup?utm_campaign=DataScience&utm_medium=DescriptionFirstFold&utm_source=youtube
This Data Visualization Tutorial will start by explaining what Data Visualization is, Why we use Data Visualization, major considerations for Data Visualization and the basics of different types of graphs.

Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1kg5W1mo37urJQOdCZ

Big Data and Analytics Articles https://www.simplilearn.com/resources/bigdataandanalytics?utm_campaign=BigDataVisualizationMiiANxRHSv4&utm_medium=Tutorials&utm_source=youtube

To gain indepth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/bigdataandanalytics/bigdataandhadooptraining?utm_campaign=BigDataVisualizationMiiANxRHSv4&utm_medium=Tutorials&utm_source=youtube

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About Simplilearn’s Big Data and Hadoop Certification Training Course:

The Big Data Hadoop and Spark developer course have been designed to impart an indepth knowledge of Big Data processing using Hadoop and Spark. The course is packed with reallife projects and case studies to be executed in the CloudLab.

Mastering realtime data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form.

As a part of the course, you will be required to execute reallife industrybased projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and Ecommerce. This Big Data course also prepares you for the Cloudera CCA175 certification.

What are the course objectives of this Big Data and Hadoop Certification Training Course?

This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an indepth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common usecases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames

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Who should take up this Big Data and Hadoop Certification Training Course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a mustknow technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists

For more updates on courses and tips follow us on:
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Twitter: https://twitter.com/simplilearn
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Website: https://www.simplilearn.com

Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

Data Visualization Tutorial For Beginners | Big Data Analytics Tutorial | Simplilearn

The Art of Data Visualization | Off Book | PBS Digital Studios


Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: http://to.pbs.org/Donateoffbook

Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on these basic cognitive skills. In a modern world where we have far more data than we can process, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating data into the media experience. Data has emerged as such a critical part of modern life that it has entered into the realm of art, where datadriven visual experiences challenge viewers to find personal meaning from a sea of information, a task that is increasingly present in every aspect of our informationinfused lives.

Featuring:
Edward Tufte, Yale University
Julie Steele, O’Reilly Media
Josh Smith, Hyperakt
Jer Thorp, Office for Creative Research

Office of Creative Research:
“Gate Change” by Ben Rubin w/ Mark Hansen & Jer Thorp
“And That’s The Way It Is” by Ben Rubin w/ Mark Hansen & Jer Thorp
“Shakespeare Machine” by Ben Rubin w/ Mark Hansen & Jer Thorp
“Moveable Type” by Ben Rubin & Mark Hansen
“Listening Post” by Ben Rubin & Mark Hansen

Sources:
Facebook World Map Produced by Facebook intern, Paul Butler. http://gigaom.com/2010/12/14/facebookdrawsamapoftheconnectedworld/
Paris Subway Activity Eric Fisher http://www.flickr.com/photos/walkingsf/
Rich Blocks, Poor Blocks http://www.richblockspoorblocks.com/
“Hurricanes since 1851” by John Nelson, http://uxblog.idvsolutions.com/
“Flight Patterns” by Aaron Koblin http://www.aaronkoblin.com/work/flightpatterns/
“We Feel Fine Project” by Jonathan Harris and Sep Kamvar http://wefeelfine.org/
“Every McDonald’s in the US” by Stephen Von Worley http://www.datapointed.net/2009/09/distancetonearestmcdonalds/
“Colours in Culture” by informationisbeautiful.net http://www.informationisbeautiful.net/visualizations/coloursincultures/

Music:
“The Blue Cathedral” by Talvihorros http://freemusicarchive.org/music/Talvihorros/Bad_Panda_45/The_Blue_Cathedral
“Sad Cyclops” by Podington Bear http://freemusicarchive.org/music/Podington_Bear/Ambient/SadCyclops
“Between Stations” by Rescue http://archive.org/details/one026
“Tomie’s Bubbles” by Candlegravity
“Earth Breath” by Human Terminal http://freemusicarchive.org/music/Human_Terminal/Press_Any_Key/01_Earth_Breath
“Unreal (Album Version)” by Garmisch http://freemusicarchive.org/music/Garmisch/Glimmer/02__Unreal_Album_Version

More Off Book:

The Future of Wearable Technology

Is Photoshop Remixing the World?

Can Hackers be Heroes?
http://www.youtube.com/watch?v=NVtrA7jucw

The Rise of Webcomics

Will 3D Printing Change The World?

Follow Off Book:
Twitter: @pbsoffbook
Tumblr: http://pbsarts.tumblr.com/

Produced by Kornhaber Brown: http://www.kornhaberbrown.com

The Art of Data Visualization | Off Book | PBS Digital Studios

5 Data Visualization Project Ideas


Here are 5 data visualization project ideas to boost your portfolio and your resume. These are all easy to do and you should be able to find free and accessible data on all of them to help boost your data analyst skills.

Follow me on Twitter: https://twitter.com/mckayjohns

Check out my favorite analytics books!:
Learn Python: https://amzn.to/32tZ65M
Data Visualization: https://amzn.to/3lgcdPB

Affiliate:
Scraper API: https://www.scraperapi.com?fpr=mckay48
Use code MCKAY10 for 10% off

Patreon:
https://www.patreon.com/user?u=15875953

5 Data Visualization Project Ideas

Effective Data Visualisation with Valentina D&39;Efilippo


Effective data visualisation comes in many shapes and sizes, but how do you move away from a standard bar chart?
Watch the Q&A: https://youtu.be/8DOd8afdeBg

Valentina D’Efilippo is a designer, illustrator, and creative director based in London.

Valentina enjoys working with public organisations, startups, agencies and global brands. After leading the design team at Signal Noise, a data design agency part of the Economist Group, she recently returned to run her own practice fulltime.

Subscribe for regular science videos: http://bit.ly/RiSubscRibe

A very special thank you to our Patreon supporters who help make these videos happen, especially:
Amanda Hall, Hamza, Paulina Barren, Metzger, Kevin Winoto, Jonathan Killin, János Fekete, Mehdi Razavi, Mark Barden, Taylor Hornby, Rasiel Suarez, Stephan Giersche, William ‘Billy’ Robillard, Scott Edwardsen, Jeffrey Schweitzer, Gou Ranon, Christina Baum, Frances Dunne, jonas.app, Tim Karr, Adam Leos, Michelle J. Zamarron, Andrew Downing, Fairleigh McGill, Alan Latteri, David Crowner, Matt Townsend, Anonymous, Roger Shaw, Robert Reinecke, Paul Brown, Lasse T. Stendan, David Schick, Joe Godenzi, Dave Ostler, Osian Gwyn Williams, David Lindo, Roger Baker, Greg Nagel, and Rebecca Pan.

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Subscribe for regular science videos: http://bit.ly/RiSubscRibe

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Product links on this page may be affiliate links which means it won’t cost you any extra but we may earn a small commission if you decide to purchase through the link.

Effective Data Visualisation  with Valentina D&39;Efilippo

Data Visualization with D3, JavaScript, React Full Course [2021]


Learn Data Visualization with D3, JavaScript, and React in this 17hour course.
Part 2: https://youtu.be/H2qPeJx1RDI

🎥 Created by Curran Kelleher. His channel: https://www.youtube.com/channel/UCSwd_9jyX4YtDYm9p9MxQqw

⭐️Sections/Code⭐️
00:00 Datavis 2020 Introduction
05:22 What is Data Visualization
14:30 Week 1 Q & A
22:49 Finding Visualizations
29:17 Introduction to Web Technologies
39:11 Let’s Make a Face Part I (HTML, CSS, SVG)
💻 https://vizhub.com/curran/e54aba86481147a482f339763d4fc598
💻 https://vizhub.com/curran/fbf0dfea4bcc41f898f3ab9f10c4a279
57:02 Let’s Make a Face Part II (React)
💻 https://vizhub.com/curran/fbf0dfea4bcc41f898f3ab9f10c4a279
💻 https://vizhub.com/curran/3a00f5c877ac4e30b7269c17f29d2e4d
1:14:57 Let’s Make a Face Part III (React & D3)
💻 https://vizhub.com/curran/3a00f5c877ac4e30b7269c17f29d2e4d
💻 https://vizhub.com/curran/4297411eba0a4287a70f5da9dab5fd87
1:26:53 Let’s Make a Face Part IV (React Components & ES6)
💻 https://vizhub.com/curran/4297411eba0a4287a70f5da9dab5fd87
💻 https://vizhub.com/curran/e6714750d49b4158868b08e8e19d7060
1:37:05 Let’s Make a Face Part V multiple files with ES6 modules
💻 https://vizhub.com/curran/4297411eba0a4287a70f5da9dab5fd87
💻 https://vizhub.com/curran/be34ae5bb6ef438b9047b0c717d5315c
1:47:01 Let’s Make a Face Part VI (Compartmentalizing Complexity)
💻 https://vizhub.com/curran/be34ae5bb6ef438b9047b0c717d5315c
💻 https://vizhub.com/curran/7da62f462dfd42fd8784384264a28365
1:58:57 Coronavirus Dataviz Hackathon Part I (Coronavirus Dataviz)
2:08:48 Preparing Data for Visualization
2:18:46 Loading Data with Fetch, Promises, Aync & Await
💻 https://vizhub.com/curran/6ec4f3dd10ac4fcdb5f759d38e7ceefa
2:29:11 Interaction With React
💻 https://vizhub.com/curran/3a00f5c877ac4e30b7269c17f29d2e4d?edit=files&file=index.js
💻 https://vizhub.com/curran/9827ad65ee864431a94c95794b191cb2?edit=files&file=index.js
2:48:28 Parsing CSV Data with D3
💻 https://vizhub.com/curran/6ec4f3dd10ac4fcdb5f759d38e7ceefa
2:57:18 Loading Data in React
💻 https://vizhub.com/curran/f6b3cffc0c784b8bb9d6f758671b1be0
3:08:40 Inputs for Visualization: Data & Tasks
3:19:32 Iterating Fast with Vega Lite API
💻 https://vizhub.com/curran/7392ee124c8249b884e735abf6da8df4
💻 https://vizhub.com/curran/717a939bb09b4b3297b62c20d42ea6a3
3:50:33 Marks & Channels
4:26:43 Visualizing Data with React & D3
💻 https://vizhub.com/curran/1e2e55a2c06b478586a7ea8e1403b13e
4:43:08 Making a Bar Chart with React & D3
💻 https://vizhub.com/curran/72d56b59a206431090081f2b9ab14873
4:57:51 Margins and Axes
💻 https://vizhub.com/curran/b9069ad0a02c4ab5b29f0b8dcb447396
5:17:23 Refactoring a Bar Chart
💻 https://vizhub.com/curran/4624fb61b2e34c208bad8e211eea90e9
5:29:00 Stylized Bar Chart
💻 https://vizhub.com/curran/32dfc8d2393844c6a5b9d199d9a35946
5:53:13 Making a Scatter Plot
💻 https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d
6:15:29 Working with Time
💻 https://vizhub.com/curran/73bcdb68be6b4500b03827c9d58defba
6:23:37 Making a Line Chart
💻 https://vizhub.com/curran/f1c25845b6324832957d3bac6f10ba69
6:37:29 Preparing Geospatial Data
💻 https://mapshaper.org/
6:45:35 Making a World Map with React & D3
💻 https://vizhub.com/curran/295f06f6efd749f0acc19b69a37687a6
7:11:24 Menus with React
💻 https://vizhub.com/curran/6d60bcc26780476f9169f1a39cfacbc5
7:27:40 Scatter Plot with Menus
💻 https://vizhub.com/curran/f149be87d69e40d88d567d36c224fc04
7:45:57 Polished Scatter Plot with Menus
💻 https://vizhub.com/curran/e3f5f029b82f44a084d73806feafc577
8:06:23 Scatter Plot with Color
💻 https://vizhub.com/curran/9b881e62cb2442ea928eb89b42dda013
8:13:24 Making a Color Legend
💻 https://vizhub.com/curran/16f7a618a7f84a5085b0fff6a78b4444
8:28:27 Interactive Color Legend
💻 https://vizhub.com/curran/8b699c4000704216a709adfeb38f2411
8:46:49 Points on a Map
💻 https://vizhub.com/curran/4a94ec9d1cd348d394e69e9083b86684
8:58:35 Using Size
💻 https://vizhub.com/curran/118d7f70085246a58dc7a374fd957c20
9:12:02 Missing Migrants
💻 https://vizhub.com/curran/73bcdb68be6b4500b03827c9d58defba
💻 https://vizhub.com/curran/6a46b0e07499423a91eb72d46b7431f2
9:23:26 Missing Migrants Part II: Aggregation by Month
💻 https://vizhub.com/curran/e1b252a7e4b0455093444008dfd968c1
9:47:34 Missing Migrants Part III: On a Map
💻 https://vizhub.com/curran/2d82ff9133fa4b5c8cb3ccade8e8ab90
9:56:46 Multiple Views
💻 https://vizhub.com/curran/018be07cf0a4435ba09c0d8b32d04b28
10:09:23 Why Use Modules
10:11:48 Multiple Views Cleanup
💻 https://vizhub.com/curran/1c80f00843da4307b5e2f6d56db01011
10:32:17 Multiple Views with Brushing
💻 https://vizhub.com/curran/88b33d525e7f494c85bfc39f5d4e2266
10:58:34 React Performance Optimization
💻 https://vizhub.com/curran/a95f227912474d4a9bbe88a3c6c33ab9
11:20:10 Choropleth Map
💻 https://vizhub.com/curran/ed32a7ae82e14e35aa38c9416740b38a
11:30:11 Log Scales
💻 https://vizhub.com/curran/88bb1e7d70af4587991386a19acc2be9

More in Part 2: https://youtu.be/H2qPeJx1RDI

Data Visualization with D3, JavaScript, React  Full Course [2021]

Data Visualization and Misrepresentation


Data visualization is present in every aspect of our lives but is it really as unbiased as it’s said to be? In this SciToons video, learn more about how data visualizations can misrepresent information. From politics to medicine, the stories told by data visualizations can bend the truth through techniques such as cherry picking, axis truncation, and pie charts that add up to over 100%.

Facebook: https://www.facebook.com/scitoons/
Twitter: https://twitter.com/sci_toons?lang=en
Instagram: https://www.instagram.com/sci_toons/

Data Visualization and Misrepresentation .

สำหรับข้อมูลเพิ่มเติมเกี่ยวกับ data visualization หรือข่าวที่เกี่ยวข้องอื่นๆ โปรดไปที่: https://castu.org/ การกระทำ

What is Data Visualization in 3 minutes ? และรูปภาพที่เกี่ยวข้องdata visualization

What is Data Visualization in 3 minutes ?
What is Data Visualization in 3 minutes ?

>>> สามารถหาข้อมูลที่น่าสนใจอื่นๆ ได้ที่นี่ เรา
แบ่งปันที่นี่

#Data #Visualization #minutes.

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What is Data Visualization in 3 minutes ?.

data visualization.

เราหวังว่าคุณจะพบข้อมูลเกี่ยวกับ data visualization ที่นี่
ขอบคุณที่รับชมเนื้อหานี้

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31 thoughts on “What is Data Visualization in 3 minutes ? | ข่าวสารล่าสุดเกี่ยวกับ data visualization”

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