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importance of Data-Visualization-in-Data-Science. for mba studnts
- 1. Data Visualization inData Science Tushar B. Kute, http://tusharkute.com
- 2. Agenda • Data visualization –What? Why? – Benefits – Techniques – Who uses it? Types of Graphs Tools Techniques in programming Best resources • • • •
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- 4. Data Visualization • Datavisualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. • The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets. • The term is often used interchangeably with others, including information graphics, information visualization and statistical graphics.
- 5. Data Visualization • Datavisualization is one of the steps of the data science process, which states that after data has been collected, processed and modeled, it must be visualized for conclusions to be made. Data visualization is also an element of the broader data presentation architecture (DPA) discipline, which aims to identify, locate, manipulate, format and deliver data in the most efficient way possible. •
- 6. Data Visualization • • Data visualizationis important for almost every career. It can be used by teachers to display student test results, by computer scientists exploring advancements in artificial intelligence (AI) or by executives looking to share information with stakeholders. It also plays an important role in big data projects. As businesses accumulated massive collections of data during the early years of the big data trend, they needed a way to get an overview of their data quickly and easily. Visualization tools were a natural fit. • •
- 7. Benefits of DataVisualization • The ability to absorb information quickly, improve insights and make faster decisions; • An increased understanding of the next steps that must be taken to improve the organization; • An improved ability to maintain the audience's interest with information they can understand; • An easy distribution of information that increases the opportunity to share insights
- 8. Benefits of DataVisualization • Eliminate the need for data scientists since data is more accessible and understandable; and • An increased ability to act on findings quickly and, therefore, achieve success with greater speed and less mistakes.
- 9. Data Visualization Roles • Showingchange over time • Showing a part-to-whole composition • Depicting flows and processes • Looking at how data is distributed • Comparing values between groups • Observing relationships between variables • Looking at geographical data
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- 40. Data Visualization Tools •Tableau • Infogram • ChartBlocks • D3.js • Google Charts • Fusion Charts • Chart.js
- 41. Tableau • Tableau hasa variety of options available, including a desktop app, server and hosted online versions, and a free public option. • There are hundreds of data import options available, from CSV files to Google Ads and Analytics data to Salesforce data. • Output options include multiple chart formats as well as mapping capability. That means designers can create color-coded maps that showcase geographically important data in a format that’s much easier to digest than a table or chart could ever be.
- 42. Infogram • Infogram isa fully-featured drag-and-drop visualization tool that allows even non-designers to create effective visualizations of data for marketing reports, infographics, social media posts, maps, dashboards, and more. Finished visualizations can be exported into a number of formats: .PNG, .JPG, .GIF, .PDF, and .HTML. Interactive visualizations are also possible, perfect for embedding into websites or apps. Infogram also offers a WordPress plugin that makes embedding visualizations even easier for WordPress users. • •
- 43. ChartBlocks • ChartBlocks claimsthat data can be imported from “anywhere” using their API, including from live feeds. While they say that importing data from any source can be done in “just a few clicks,” it’s bound to be more complex than other apps that have automated modules or extensions for specific data sources. The app allows for extensive customization of the final visualization created, and the chart building wizard helps users pick exactly the right data for their charts before importing the data. Designers can create virtually any kind of chart, and the output is responsive—a big advantage for data visualization designers who want to embed charts into websites that are likely to be viewed on a variety of devices. • •
- 44. D3.j s • D3.js isa JavaScript library for manipulating documents using data. D3.js requires at least some JS knowledge, though there are apps out there that allow non- programming users to utilize the library. Those apps include NVD3, which offers reusable charts for D3.js; Plotly’s Chart Studio, which also allows designers to create WebGL and other charts; and Ember Charts, which also uses the Ember.js framework. • •
- 45. Google Charts • GoogleCharts is a powerful, free data visualization tool that is specifically for creating interactive charts for embedding online. It works with dynamic data and the outputs are based purely on HTML5 and SVG, so they work in browsers without the use of additional plugins. Data sources include Google Spreadsheets, Google Fusion Tables, Salesforce, and other SQL databases. There are a variety of chart types, including maps, scatter charts, column and bar charts, histograms, area charts, pie charts, treemaps, timelines, gauges, and many others. These charts can be customized completely, via simple CSS editing. • •
- 46. FusionChart s • FusionCharts isanother JavaScript-based option for creating web and mobile dashboards. It includes over 150 chart types and 1,000 map types. It can integrate with popular JS frameworks (including React, jQuery, React, Ember, and Angular) as well as with server-side programming languages (including PHP, Java, Django, and Ruby on Rails). FusionCharts gives ready-to-use code for all of the chart and map variations, making it easier to embed in websites even for those designers with limited programming knowledge. • •
- 47. Chart.js • Chart.js isa simple but flexible JavaScript charting library. It’s open source, provides a good variety of chart types (eight total), and allows for animation and interaction. Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so it’s great for creating visualizations that are mobile- friendly. •
- 48. Visualization using Programming •Python – matplotli b – seaborn – plotly – pylab • R – graphics – ggplot2
- 49. Best Resources toLearn • • • https://python-graph- gallery.com https://www.r- graph-gallery.com https://chartio.com
- 50. [email protected] [email protected] om Thank you This presentationis created using LibreOffice Impress 7.4.1.2, can be used freely as per GNU General Public License W eb Resources https://mitu.co.in http://tusharkute.com @mITuSkillologies @mitu_grou p @mitu-skillologies @MITUSkillologies @mituskillologies @mituskillologies