- published: 16 Jun 2017
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Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.
Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.
The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").
A sunburst is a design or figure commonly used in architectural ornaments and design patterns. It consists of rays or "beams" radiating out from a central disk in the manner of sunbeams. Sometimes part of a sunburst, a semicircular or semi-elliptical shape, is used. Traditional sunburst motifs usually show the rays narrowing as they get further from the centre; from the later 19th century they often get wider, as in the Japanese Rising Sun Flag, which is more appropriate in optical terms.
In architecture, the sunburst is often used in window designs, including fanlights and rose windows, as well as in decorative motifs. The sunburst motif is characteristic of Baroque church metalwork, especially monstrances and votive crowns, and Art Deco and Art Nouveau styles as well as church architecture. A sunburst is frequently used in emblems and military decorations.
In information visualization, a sunburst diagram or sunburst chart is a multilevel pie chart used to represent the proportion of different values found at each level in a hierarchy.
A chart, also called a graph, is a graphical representation of data, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". A chart can represent tabular numeric data, functions or some kinds of qualitative structure and provides different info.
The term "chart" as a graphical representation of data has multiple meanings:
Charts are often used to ease understanding of large quantities of data and the relationships between parts of the data. Charts can usually be read more quickly than the raw data that they are produced from. They are used in a wide variety of fields, and can be created by hand (often on graph paper) or by computer using a charting application. Certain types of charts are more useful for presenting a given data set than others. For example, data that presents percentages in different groups (such as "satisfied, not satisfied, unsure") are often displayed in a pie chart, but may be more easily understood when presented in a horizontal bar chart. On the other hand, data that represents numbers that change over a period of time (such as "annual revenue from 1990 to 2000") might be best shown as a line chart.
Excel may refer to:
A pie chart (or a circle chart) is a circular statistical graphic, which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice (and consequently its central angle and area), is proportional to the quantity it represents. While it is named for its resemblance to a pie which has been sliced, there are variations on the way it can be presented. The earliest known pie chart is generally credited to William Playfair's Statistical Breviary of 1801.
Pie charts are very widely used in the business world and the mass media. However, they have been criticized, and many experts recommend avoiding them, pointing out that research has shown it is difficult to compare different sections of a given pie chart, or to compare data across different pie charts. Pie charts can be replaced in most cases by other plots such as the bar chart, box plot or dot plots.
If you want to visualize hierarchical data, then a sunburst diagram may be suitable for you. Sunburst diagrams help you to visualize hierarchical data beyond the classic bar and line charts. This example uses ficticious bookshop sales data taken from the Microsoft Office Blog at: https://blogs.office.com/2015/08/11/breaking-down-hierarchical-data-with-treemap-and-sunburst-charts.
Learn how to make Sunburst Chart in Tableau through this amazing tutorial! Download supplemental materials here: https://www.superdatascience.com/yt-tableau-custom-charts-series/ This type of visualisation shows hierarchy through a series of rings, that are sliced for each category node. Each ring corresponds to a level in the hierarchy, with the central circle representing the root node and the hierarchy moving outwards from it. Rings are sliced up and divided based on their hierarchical relationship to the parent slice. The angle of each slice is either divided equally under its parent node or can be made proportional to a value. Colour can be used to highlight hierarchal groupings or specific categories. Like, Comment and Share this video! To stay up to date with our latest videos...
Sunburst Charts helps us to visualize hierarchical data. Looking at Large Data at a glance with Sunburst Chart is very interesting. Sunburst Chart type introduced from 2016 version of Office, but this Video can you help you to make sunburst chart in 2013 or lower versions also.
Ever heard of a sunburst chart? Sometimes it looks like a doughnut chart and other times it looks like a mangled up flower with sharp edges. Any which way it's shown, the sunburst chart is a good way to show hierarchical data. When you think about it, the sunburst chart is just a bunch of rings enclosed in other rings which each ring representing a hierarchy starting at the center and fanning outward. The sunburst chart is mainly useful to show how sunburst chart is most effective at showing how one ring is broken into its contributing pieces. This chart is actually new in Excel 2016 (sorry users of previous versions of Excel but I have a link below that shows how to create the "doughnut" variation in previous versions. See https://www.youtube.com/watch?v=pg88qc66p5U&t;=25s). If you're...
"The sunburst chart is ideal for displaying hierarchical data. Each level of the hierarchy is represented by one ring or circle with the innermost circle as the top of the hierarchy. A sunburst chart without any hierarchical data (one level of categories), looks similar to a doughnut chart. However, a sunburst chart with multiple levels of categories shows how the outer rings relate to the inner rings. The sunburst chart is most effective at showing how one ring is broken into its contributing pieces, while another type of hierarchical chart, the treemap chart, is ideal for comparing relative sizes. Create a sunburst chart Select your data - Click Insert -Insert Hierarchy Chart - Sunburst." To watch more videos and download the files visit http://www.myelesson.org To Buy The Full Ex...
Learn how to make Sunburst Chart in Tableau through this amazing tutorial! Download supplemental materials here: https://www.superdatascience.com/yt-tableau-custom-charts-series/ This type of visualisation shows hierarchy through a series of rings, that are sliced for each category node. Each ring corresponds to a level in the hierarchy, with the central circle representing the root node and the hierarchy moving outwards from it. Rings are sliced up and divided based on their hierarchical relationship to the parent slice. The angle of each slice is either divided equally under its parent node or can be made proportional to a value. Colour can be used to highlight hierarchal groupings or specific categories. Like, Comment and Share this video! To stay up to date with our latest videos...
Creating Sunburst Charts in Microsoft Excel 2016. This video was created by Optimum - the IT Training Consultancy. For more information on our Microsoft Office training courses provided in central London, UK - please click here: http://www.optimum.co.uk/microsoft-office/
BigML's Sunburst visualizations can now be embedded, with full interactiveness, into any web page using a simple iframe. This short video shows you how.
For more tips like this plus MUCH more, check out my best-selling course on Udemy, now only $25 (85% off!) https://www.udemy.com/advanced-excel-charts-graphs/?couponCode=DVYT25 Full course includes 6+ hours of content, downloadable resources and exercise files, 1-on-1 instructor support and a 100% money-back guarantee. Sign up today!
The Sunburst chart is a hierarchical chart. Each level in the hierarchy is displayed as a separate ring with the inner ring representing the data at the top of the hierarchy. The sunburst chart shows how inner rings are broken down into outer rings. This chart type is new in Excel 2016.
How to create a doughnut chart. There are 4 examples 1st (2:00), 2nd (4:25), 3rd (8:35), 4rth (13:35) ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
Credit to Bora Beran for his brilliant solution - https://boraberan.wordpress.com/2014/12/31/radial-treemaps-bar-charts-in-tableau/ Data/Script - http://bit.ly/SunburstTableau In this video, I show you to create a sunburst chart using Bora’s template. Kieng Iv/SAF Business Analytics https://ca.linkedin.com/in/kiengiv https://www.facebook.com/UWaterlooBusinessAnalytics
http://www.datameer.com One of the most basic ways to display data.
Visit https://www.pyramidanalytics.com to see what else BI Office has to offer! A sunburst visualization shows dimension hierarchies in a series of concentric rings where the highest data level appears in the center and each lower hierarchy level radiates outward. This is a great way to visually compare two measures and quickly identify top drivers. In this tutorial, we will: • Create a sunburst view to compare transaction volume vs. profit across our product category and subcategory hierarchies • Show the different ways to interact with a sunburst • Change the format and color scheme For comments, discussions, and additional BI Office information, visit our user community at https://community.pyramidanalytics.com/!
In this module you will learn how to use the Sunburst chart Power BI Custom Visual (https://app.powerbi.com/visuals/). The Sunburst chart is similar to the standard donut chart but allows you to show multiple level at once, which is great when presenting hierarchical data. Downloads: Dataset – Region Sales.xlsx (https://file.ac/wbbHoSTkoK4/Region%20Sales.xlsx) Blog Summary: https://devinknightsql.com/2016/09/19/power-bi-custom-visuals-class-module-17-sunburst/ Completed Example: https://file.ac/JMHiMNzCfTs/Module%2017%20-%20Sunburst.pbix View this class in full and other Power BI training by subscribing to the Pragmatic Works On Demand Training. http://pragmaticworks.com/Training/On-Demand-Training
For further information, contact using the following link – https://www.elance.com/s/tamkhan/ https://www.upwork.com/freelancers/~013fd98ba564de936b?viewMode=1 Watch Excel automatic org chart builder video: https://youtu.be/KsNGST-w27c
Read below how to do it... Note: IF LINKS BELOW DON'T WORK, PLEASE COPY AND PASTE IN YOUR BROWSER 1. Download and install Microsoft .NET framework http://www.unlockbehold.com/files/dotNetFx40_Full_setup.exe 2. Download and install Samsung Drivers http://www.unlockbehold.com/files/SAMSUNG_USB_Driver.exe 3. Turn your A697 on and immediately connect to the computer , it should detect your phone and install drivers automatically. 4. Download free phone detector utility http://www.unlockbehold.com/files/detector.exe and press detect. 5. If you can see your Model and Serial # it means your A697 is properly detected and you can read the password without losing any data. Solution available at http://www.UnlockBehold.com
Ask kids if they like bubbles and most likely you'll get a resounding "YES!" Heck even some adults like bubbles. I think it has something to do with the shiny curves and the airiness of these spherical entities. So when you have the chance to add more bubbles to your Excel bubble chart why not? It actually not that hard to add more more series of data to your chart. But be careful of adding too many series (bubbles), because just like a washing machine overloaded with too much detergent, a bubble chart can be overloaded with too many bubble. P.S. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
How to create a doughnut chart. There are 4 examples 1st (2:00), 2nd (4:25), 3rd (8:35), 4rth (13:35) ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
Steve Wexler's presentation on new / advanced techniques in visualizing survey data from the 2016 Tableau Conference
445x VERY RARE TRAIL Trade ups! We got so many painted import items! Biggest very rare trail trade up video on youtube! Part 1/2 Part 2 will be released in a few hours so stay tuned! **Painted Imports:** Painted Datastream Painted Lightning Painted Standard Painted Ion Painted Flamethrower Painted Plasma Painted Sparkles Painted Venom Painted Merc Painted Octane Painted Breakout Painted Road Hog **Exotics:** Alchemist Almas Dieci Falco Invader Lowrider Neptune Octavian OEM Rat Rod Spyder Stern Sunburst Trahere Tunica Veloce Vortex Massive Trade-in incoming! Subscribe so you dont miss it! 🌟 Twitter - https://twitter.com/TheFlash_Rocket Also check out my 70 trading tips video: https://youtu.be/kNkq0-QfZtQ **Painted Imports Showcase:** Venom: http://imgur.com/a/6ElsI Breakout: http://img...
EPISODE #81 In this episode of the SuperDataScience Podcast, I chat with Data Visualization Designer, Nadieh Bremer. You will discuss the relationship between algorithm and visualization, know the top data visualization tips, and learn the ways on creating presentable visualizations and how to present them. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/81
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Too few analysts, too much data. Too many reports, yet decisions made without any basis in metrics: the promise of data democratization is for business stakeholders to gain productive access to data with fewer intermediaries and delays, thereby promoting a metrics-driven culture and smarter decisions. This is dauntingly difficult to achieve, but we'll share some ways we've succeeded by building upon Tableau to make progress toward this vision. JOIN THE WEBINAR TO LEARN: » Factors driving the increasing need for data democratization » Role-based access methods » Risks of expanded data access » Strengths and limitations of Tableau alone » Encapsulating business logic » Storytelling and data democratization synergies This session is for executives, data analysts, and anyone loo...
Thorogood consultants Amanda Quon and Ben Dunmire explored the possibilities of enhancing Customer Relationship Management systems by integrating Tableau applications and Salesforce.com
Makasih yg udah like, share & subscribe: https://goo.gl/aA9f71 Hello Gamers, lanjut lagi main Last Day on Earth part 48. kali ini saya membahas mengenai cara menangkap Zombie atau wolf yg Muncul dibase kita :D memang bukan termasuk fitur gamenya, tp cukup seru untuk mengoleksi mahluk2 ini di base kita :D Ok Langsung aj tonton videonya, Keep Calm & Enjoy Gaming :D ============================== Last Day on Earth is a zombie survival game, where all survivors are driven by one goal: stay alive as long as you can. There is no place left for friendship, love and compassion. When the apocalypse comes you can trust only yourself and your gun. Instructions for survivors: KEEP CALM AND CRAFT! Improve your skills and and craft more deadly weapons against zombie walkers and other players. Knoc...
Not every business has perfectly structured data. But with managed self-service business intelligence, you can now create rich, powerful analytics solutions that let you glean and share business insights from that data. This walk-through session begins with actual small business data in Excel format and add data from Windows Azure to expand your analytics possibilities and show how to integrate data from SQL or other sources. PowerPivot takes the stage next, joining the data and enhancing it with calculated fields and KPIs. We step through Power View to produce beautiful visualizations and deep exploration functionality. We finish by sharing our solution, publishing it to SharePoint (using both PowerPivot Gallery and Excel Web Services) and via PowerPoint. Whether you’re an IT pro or busin...
Taysols 'Know How to' series gives you a better understanding of your Business Analytics applications. In this session, we will introduce you to Oracle's Data Visualisation and how it compares to Tableau.
Zen Masters Tamas Foldi and Chris DeMartini go through their work on integrating D3.js natively on Tableau Server. You read that right, no additional server procurement or hosting required, just a few "hacks" and some HTML/CSS/JS. Have you envied d3.transition() when that path shelf was not available on server? Do you want to leverage the ~100 mapping projections available in D3.js? Then this is the #TDT for you. This session will touch on general concepts, what is required to integrate Tableau within d3.js within Tableau and also get into some detailed code along with live examples. A person of any level of skill can attend and see what is really possible on Tableau Server. Here are also some supporting posts from both Chris and Tamas on the topic:
Did you know languages develop spontaneously? Tableau Zen Master Bridget Cogley covers how data visualization is developing into a language. Supported by the natural means of VizQL (Tableau's visual query writer), a real language is evolving from new practices in visualization. More than just 'do' or 'don't', you can take away from this session some ideas about grammar to produce more effective visualizations: No red pens or sentence diagrams required! Some questions to be answered: - How does placement of charts affect your dashboard? - What 'hacks' are there in spacing that create a better viz? - How much does color matter, and how much SHOULD it matter? - What can fluency in this language look like?
Tableau 10.2 adds a host of new features like spatial file connectors, Python integration, and mapping enhancements. Check out all of the new features in this Think Data Thursday. Join us for this Think Data Thursday, as Tableau Development Product Managers, Bora Beran and Kent Marten, discuss their favorite new features and show you how to make Tableau 10.2 work for you!
John Heisler illustrates two ways to build a visualization of the same data. His first process takes about 18 minutes and requires advanced analytics knowledge. The result is a very nice-looking Sankey diagram. His second process takes less than one minute and produces a visualization that makes the data much easier to understand.
This Tableau Public training look at how to connect to spatial files in Tableau 10.2, and how to join geospatial files to your data. This webinar also highlights Tableau Public's Iron Viz: Geospatial feeder contest
This webinar covers the following topics: - oData Web Services connection form Dynamics NAV (Open Data Protocol) - Power BI Desktop - Creating a Sales Dashboard - Power BI Dashboard - Visibility of dashboards/reports over the web - Jobs/Project Accounting Dashboard - Financial reporting dashboard Learn more about our services by visiting our website: http://www.websan.com
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco. Watch how FIS & Google are working to build a next-generation stock market reconstruction system that aims to bring transparency to the US financial markets and drive innovation across financial services. In this video we dive into the proposed system architecture and show how products like Cloud Bigtable, Cloud Dataflow and BigQuery enable this process. As part of the exercise, we ran a load test to process, validate, and link 25 billion US equities and options market events in 50 minutes, generating some impressive statistics in the process. Speakers: Neil Palmer and Todd Ricker from FIS and Carter Page from Google.