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Data Visualization

Advanced Data Visualization Techniques and its Features

Navdeep Singh Gill | 01 December 2022

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What is Data Visualization?

It uses charts and graphs to visualize large amounts of complex data. Visualization provides a quick, easy way to convey concepts and summarize and present large data in easy-to-understand and straightforward displays, which enables readers insightful information. With the help of its techniques, enterprises are able to see the overview of their unstructured enterprise data in a better way.


A new, data-oriented mind-set is permeating the business world. Source - What is the Future?

What are its key features?

  • Identify areas that need attention or improvement.
  • Clarify which factors influence customer behavior.
  • Decision-making Ability.
  • Integration Capability.
  • Predict sales volumes.

What are the best techniques?

For growing companies, it is the essential part of the business to make business strategies. They follow various visualization techniques listed below:

Understanding the motive of the Visualization

  • Know your data.
  • Getting to know the structure of your data.
  • Which Variables are we trying to plot?
  • How x-axis and y-axis will be used for the representation.
  • How different colors symbolize visualization.

Identify the Purpose of the Visualization

  1. Identifying the purpose of creating a chart is necessary as this helps define the structure of the process.
  2. Select the right chart type.
  3. Selecting the right type of chart is very crucial as this defines the overall functionality of the chart.
  4. Attention to Detail using colors, shapes, and sizes.
  5. Choosing the correct type of color, shape, and size is essential for representing the chart.

Visual Analytics Process Workflow for creating visualizations: A Nested Model for Visualization Design and Validation.

What are the common challenges?

Big Data is a large volume, complex dataset. So, such data can not visualize with the traditional method as the traditional method has many limitations.
  • Perceptual Scalability: Human eyes cannot extract all relevant information from a large volume of data. Even sometimes desktop screen has its limitations if the dataset is large. Too many visualizations are not always possible to fit on a single screen.
  • Real-time Scalability: It is always expected that all information should be real-time information, but it is hardly possible as processing the dataset needs time.
  • Interactive scalability: Interactive  help to understand what is inside the datasets, but as big data volume increases exponentially, visualizing the datasets take a long time. But the challenge is that sometimes the system may freeze or crash while trying to visualize the datasets.

What are the Data Visualization techniques and strategies?

It strategy is another on the rundown. You may have the information scrubbed and the bits of knowledge removed, yet you ought to likewise make sense of how to manage all the fortune. 

Better Preparation and Investigation

Information system guesses numerous means, from examining the business sector and industry, picking and organizing information streams — constant or heritage, inner or outer, or both, and so on., to choosing apparatuses and hotspots for information preparing and investigation — manual information researcher examination, front line AI calculations.

Identify Areas that need Attention.

As indicated by an Experian report, 95% of U.S. associations state that they use the data to control business openings. Another 84 percent accept information is an essential piece of shaping a business system. With an exponentially developing volume of data, chiefs might appear wealthy and ought to get ready to receive liberal rewards from their increasing resources. Nonetheless, more isn't, in every case, better.

Quick Action

Managing much information can be overpowering and bring about "suffocating" if the organizations don't settle specific difficulties before venturing into an information-driven period.

Interactive Representation of Data

The way we presented information significantly impacts information investigation and deciphers a large amount of information in a continuous structure by using complex arrangements of numerical or verifiable figures. With the vast surges of information promptly accessible to the present organizations across ventures, the test lies in information understanding, essential to the individual association, just as its points, objectives, and long-term targets. Best use of Data The information is essential for the accompanied performance of your business and to help you get the most imaginable incentive. From this, I attempted and tried methods for dissecting and introducing crucial data.

What are the key components?

Its component helps to give more details and alternative views to look after the data. Listed below are the components of it.

Line Charts

Line Charts involves Creating a graph in which data is represented as a line or a set of data points joined by a line. XenonStack Line Chart Data Visualization Services

Area chart

Area chart structure is a filled-in area that requires at least two groups of data along an axis. XenonStack Area Chart Data Visualization Solutions

Pie Charts

Pie charts represent a graph in the shape of a circle. The whole chart is divided into subparts, which look like a sliced pie. pie chart data visualization services

Donut Chart

Doughnut Charts are pie charts that do not contain any data inside the circle. XenonStack Donut Chart Data Visualization Solutions

Drill Down Pie charts

Drill down Pie charts are used for representing detailed description for a particular category. Visual Analytics Process

Bar Charts

A bar chart is the type of chart in which data is represented in vertical series and used to compare trends over time. bar chart data visualization company

Stacked Bar

In a stacked bar chart, parts of the data are adjacent to each bar and display a total amount, broken down into sub-amounts. XenonStack Stacked Bar Chart Data Visualization Services

Gauges

The gauge (gauge) component renders graphical representations of data. XenonStac Gauge Chart Data Visualization Services

Solid Gauge

Creates a gauge that indicates its metric value along a 180-degree arc. XenonStack Stacked Gauge Chart

Activity Gauge

Creates a gauge that shows the development of a task. The inner rectangle shows the current level of a measure against the ranges marked on an outer rectangle. XenonStack Gauge Activity Chart

Heat and Treemaps

Heatmaps are useful for presenting variation across different variables, revealing any patterns, displaying whether any variables are related to each other, and identifying if any associations exist in-between them. XenonStack Heat Map Graph Business Intelligence Services

Treemap with Levels

The treemap component displays quantitative hierarchical data across two dimensions, represented visually by size and color. Treemaps use a shape called a node to reference the data in the hierarchy. XenonStack Heat Map Levels Graph Data Analytics Solutions

Scatter and Bubble Charts

Creates a chart in which the position and size of bubbles represent data. Use to show similarities among types of values, mainly when you have multiple data objects, and you require to see the general relations. XenonStack Scatter Plot Visual and Data Analytics Solutions

Combinations

Creates a graph that uses various kinds of data labels (bars, lines, or areas) to represent different sets of data items. Combination Graph Data Visualization Solutions

3D Charts

Creating a 3D chart helps rotate and view a chart from different angles, which supports in representing data. Visual Analytics Process

3D Column

A 3D chart of type columns will draw each column as a cuboid and create a 3D effect. Xenonstack 3D Column Data Visualization Solutions

What are its major processes?

Each and every data has its particular need to illustrate data. Listed below are the stages and process flow for it.

Acquire

Obtaining the correct data type is a crucial part as the data can be collected from various sources and can be unstructured.

Parse

Provide some structure for the data's meaning by restructuring the received data into different categories, which helps better visualize and understand data.

Filter

Filtering out the data that cannot serve the purpose is essential as filtering out will remove the unnecessary data, further enhancing the chart visualization.

Mining

Building charts from statistics in a way that scientific context is discrete. It helps viewers seek insights that cannot be gained from raw data or statistics.

Represent

One of the most significant challenges for users is deciding which chart suites best and represents the right information. The data exploration capability is necessary to statisticians as this reduces the need for duplicated sampling to determine which data is relevant for each model.

Refine

Refining and Improving the essential representation helps in user engagement.

Interact

Add methods for handling the data or managing what features are visible.

What are the best tools?

Nowadays, there are many tools. Some of them are:

  • Google Chart: Google Chart is one of the easiest tools for visualization. With the help of google charts, you can analyze small datasets to complex unstructured datasets.
    We can implement simple charts as well as complex tree diagrams. Google Chart is available cross-platform as well.
  • Tableau: The tableau desktop is a very easy-to-use its tool. Two more versions are available of Tableau. One is "Tableau Server," and the other is cloud-based "Tableau Online." Here we can perform visualization operations by applying drag and drop methods for creating visual diagrams. In Tableau, we can create dashboards very efficiently.
  • Microsoft Power BI: This tool is mainly used for business analysis. Microsoft Power BI can be run from desktops, smartphones, and even tablets. This tool also provides analysis results very quickly.
  • D3: D3 is one of the best tools. D3.js is an open-source visualization tool.
  • Datawrapper: Datawrapper is a simple tool. Even non-technical persons can use the Datawrapper tool. Data representation in a table format or responsive graphs like a bar chart, line chart, or map draws quickly in the Datawrapper.
  • Databox: Databox is another visualization tool. It is an open-source tool. The whole data set can store in one location in the Databox tool. Then discover the insight data and perform visualization operations. In dashboard can view or match data from different datasets.

Many more tools are available per requirements and based on datasets, and visualization tools are chosen.

What is the purpose of Big-Data Visualization tools?

Its tools' purpose is to read complex unstructured data with the help of visual diagrams to benefit our business. One relevant example is the covid 19 affected report. That is a large dataset. Only data scientists can read and find out the pattern and predict the percentage of affected patients.

Approach to Visualize Big Data

Big data is unstructured, and such data can be very easily stored on a NoSql database like MongoDB or relevant information needed to extract from the data and stored on a SQL database. Then from that dataset, with the help of its tools, some charts like bar charts, pie charts, etc., need to plot. Then from those visual chart analyses can be performed.

NoSql database is mainly used for storing unstructured data like Big Data. Choose appropriate its tools. Use different algorithms as per requirement.
Visualize the dataset.

Top 5 Data Visualization Techniques and Strategies

This section will list 5 basic techniques and strategies you should know to manage and analyze a large amount of data in a simple manner. So, let's get started!

Design your Visualization keeping the Audience in Mind

When it's all said and done, the World Wide Web and Information Technology as an idea are in their early stages – and information perception is a significantly more active part of advanced development. So, the absolute most cultivated business people and officials think that it is hard to process more than a pie diagram, bar chart, or a neatly introduced visual, nor do they have the opportunity to dig profound into information. Hence, guaranteeing that your substance is both moving and custom-fitted to your crowd is one of the most basic information perception methods possible. A few partners inside your association or customers and accomplices content with a straightforward pie diagram. However, others are looking to you to dig further into the bits of knowledge you've assembled, and this is one of the best strategies. For the most significant effect and achievement, you ought to consistently examine those you're introducing. Before a gathering, and ordering your report to guarantee your visuals and level of detail address their issues precisely.

Have Clear Goals for the Visualization Strategy

  • Like any business-based interest, from the brand narrating directly through to computerized selling in the past – with the representation of your information, your endeavors are convincing as the methodology behind them.
  • To structure your perception endeavors, make a legitimate story, and drill down into the bits of knowledge that issue the most. It's critical to set a distinct arrangement of points, targets, and objectives preceding the structure of your administration reports, diagrams, outlines, and extra visuals.
  • By building up your focuses on a particular crusade of interest. You ought to plunk down in a synergistic situation with others. Put resources into the extend and Define your endpoints regardless of the type of information that helps you reach them.
  • One of the advanced Data Visualization techniques to direct your endeavors is by utilizing a foreordained arrangement of applicable KPIs for your undertaking, efforts, or continuous business endeavors and utilizing these bits of knowledge to create your perceptions.

Choose The Right Charts and Colors for your Goals

One of the best information representation strategies on our rundown; to prevail with regards to useMultidimensional Data Visualization techniques and introduce your information viably; you should choose the correct charts for your particular undertaking, crowd, and reason. For example, if you are exhibiting a change over many timespans with more than a few bits of knowledge, a line chart is a viable method for representation. Besides, lines make it easy to plot a different arrangement together. A line outline is used to introduce month-to-month deal patterns for one year in a flexible and glanceable configuration. Data Visualization Strategies Here are three other dominant outline types for various information representation ideas:

Number charts

  • Real-time number diagrams are exceptionally viable when you're looking to grandstand a quick and intuitive review of a specific key presentation marker, regardless of whether it's a business KPI, site appearances, commitment levels, or a level of advancement.

Maps

  • Most importantly, maps look incredible, which implies they move commitment in an executive gathering or introduction. Besides, a guide is a snappy, simple, and absorbable approach to introducing vast or complex geological data arrangements for various purposes.

Pie charts

  • While pie graphs have received a terrible rep lately, we feel that they structure a valuable perception device. That presents essential measurements in a simple-to-follow group. Pie diagrams are especially useful while showing the relative arrangement of a specific variable over a static period. What's more, pie diagrams make an essential thing of your representation.

Gauge Charts

  • This model shows the working cost proportion, firmly identified with the benefit and misfortune territory of your fund division's critical exercises, and this shading-coded wellbeing measure causes you to access the data you need, even at a quick look.
  • Gauge charts can be successfully utilized with a solitary worth or information point. Regardless of whether they're being used in money-related or official dashboard reports to show progress against key execution markers. Check outlines are an astounding guide to feature a quick pattern sign.

Colors Matter

  • The clearest of our chose information representation procedures. Selecting the right shading plan for your presentational resources is one of the best Techniques and Strategies. That will help improve your endeavors fundamentally.
  • The standards of shading hypothesis will notably affect the general accomplishment of your perception model. You ought to consistently attempt to keep your shading plan steady through your information perceptions, utilizing clear differentiation. To recognize components (for example, positive patterns in green and negative trends in red).
  • As a guide, individuals utilize yellow as it can be perceived and deciphered easily.

At XenonStack, we understand the objectives of and help our clients for Building Interactive Applications and Dashboard Designs. Services offerings Source: Explore the Services

Keep visualizations dashboards Simple and appropriate

  • To assist you with taking care of your enormous information and separate it. For the most engaged, legitimate, and absorbable representations conceivable, here are some essential hints:
  • Find which information is accessible to you and your association, conclude which is the most significant, and mark each part of data obviously. To make it simple to isolate, break down, and interpret.
  • Guarantee that the entirety of your partners, staff, and colleagues comprehend where your information originates from and how to get to it. To guarantee the smooth treatment of bits of knowledge across offices.
  • Keep your information ensured and your information taking care of frameworks basic, absorbable, and refreshed. To make the representation procedure as direct and natural as humanly conceivable.
  • Guarantee that you use business dashboards that present your most significant bits of knowledge in a straightforward. To-get to deep space – quickening the perception procedure while likewise crushing the most considerable incentive from your data.

Tell a Data Story

  • Like substance showcasing, when you're introducing your information in a visual configuration. With the point of conveying an important message or objective, recounting your story draws. In your crowd and make it simple for individuals to comprehend with negligible exertion.
  • Scientific studies affirm that people, in huge, react better to an all-around recounted story and by adopting this strategy. To your representation interests, you won't just astonish your associates, accomplices, and customers with your reports and introductions. However, you build your odds of passing on your most basic messages, getting the upfront investment and reaction. As per best techniques and Strategies, you have to make the sort of changes. That brings about long-haul development, advancement, and achievement.
  • To do as such, you ought to order your data, thinking as far as an essayist. Setting up an obvious start, center, and end, just as contention and goals. Building pressure during your account to add the most extreme effect on your different representations.

Use Apt Visualization Tools

The last strategy, but not the least, is using the best Data Visualization Tools. We live in a quick-paced, hyper-associated advanced age. That is far expelled from the pen and paper or even reorder attitude of the yesteryears – and accordingly. To make a thundering representation achievement, you should utilize computerized devices. That assists you with settling on the ideal choices while gathering your information in the most proficient, viable way. An assignment explicit, intelligent online dashboard or instrument offers an absorbable, natural, thorough, and intuitive means of gathering, grouping, organizing, and giving information ease – guaranteeing that your systems have the most conceivable effect while taking up a negligible measure of your time.

What are the common use cases?

  • Sports Analysis: Based on previous datasets with the help of visualization tools, a winning percentage prediction is possible. Graph plotting for both teams or players is possible, and analysis can be performed.
  • Fraud Detection: Fraud detection is a famous use case of big data. With the help of visualization tools after analyzing data, a message can be generated to others, and they will be careful about such fraud incidents.
  • Price Optimization: In any business product, price set is a significant issue with visualizing tools and all the components used; price can be analyzed and finally compared with market price, and then a relevant price can be set.
  • Security Intelligence: Visualizing criminals' records can predict how much threat they are to society. Each country has its security intelligence, and its task is to visualize information and inform others about a security threat.

Java vs Kotlin
Our solutions cater to diverse industries with a focus on serving ever-changing marketing needs. Click here for our Data Visualization Consulting Services and Solutions

Conclusion

It helps enterprises engage and Interactive dashboards for Real-time and Batch Analytics and Visualization of IoT Devices and Network components. It also provides customized and Reusable templates for its solutions using React.js, HighCharts, Canvas.js and d3.js that help enterprises for data exploration and visualization of a large dataset from 2 million records to 100 million records.