Data visualization

Subject: Consumer Behavior

Paper Model: APA

Paper Type: Essay

Total Words: 574

Document Outline

Data visualization

How much of you audience is fake?, Business week, September 28 issue


Document Preview

Data visualization

Visual communication in form of modern equivalent may be viewed in many disciplines towards data visualization. One field is not associated but interpretation may be viewed as descriptive statistics. The visual representation of data means abstracted information transformed into schematic form that includes variables, attributes and wide units of information. The communication of information is the major purpose of data visualization. In this manner efficient and clear information is obtained through tables, charts, statistical graphs and information graphics.

 Effective visualization helps the users in the form of reasoning and analyzing about evidences and data collection. Causality and understanding of developing comparison of different graphs helps in analytical tasks. Specific measurement of values obtained from tables. Various types of charts are used to build relationship and patterns in the data for more variables. Art and science is the formulation of data visualization the creation of data through internet as well as expansion of number of sensors towards environment. Communication, analyzing as well as processing of this data presented in the variety of ways including analytical and ethical challenges specifically for data visualization. Practitioners and data science is called data scientist.

Data analysis and data science are two major elements in data visualization. Data visualization closely related to the information visualization, statistical graphics, information graphics and scientific visualization. The major characteristics of data visualization entails coherent of large data, clear purpose in form of tabulation & exploration, statistical description of data sets, small space with many numbers and comparison of data of different choices of information in one centric way.  There are two ways of information display that includes table and graphs for statistical representation of data. Categorical and quantitative analysis of visualization derived in data visualization

Click the button above to view the complete essay, speech, term paper, or research paper

Tags


Related Uploads

3 pages
.
4 pages
.

Data visualization

Subject: Consumer Behavior

Model: APA

Type: Essay

Words: 574

.
4 pages
.
.
9 pages
.
pages
.

Reflection Paper On

Subject: Consumer Behavior

Model: APA

Type: Research Paper

Words: 286

.
2 pages
.
pages
.
pages

Mary Miss ADLS Lecture

Subject: Principles of Marketing

Model: APA

Type: Essay

Words: 286

3 pages
.
.
6 pages

Methodology

Subject: Business-to-Business Marketing

Model: Harvard

Type: Essay

Words: 1191

24 pages
Use of E-Government in Jordon 4.1-Research Paradigm 4.2: Research Methods      4.3:  Research Types 4.5.3 PRE-TESTING QUESTIONAIRES 4.5.5 Ethic for the survey Analysis 4.6-Sampling 4.6.1Sample and Sampling Methods Types of Sampling Techniques Probability sampling Non-probability sampling Sampling Methods Simple Random Sampling Systematic sampling Stratified Sampling  Advantages:   Disadvantages  Cluster Sampling  Quota Sampling  Accidental Sampling  4.6.2 Sample Size 4.7 Data Collection Techniques  Introduction: Data collection techniques: Quantitative and the qualitative data collection techniques: Interviews: Face to face interviews: Telephone Interviews: Questionnaires: Web based questionnaires: Qualitative data analysis: Deductive approaches: Inductive approach: 4.

Research Mythology

Subject: Business-to-Business Marketing

Model: APA

Type: Assignment

Words: 6034

Use of E-Government in Jordon 4.1-Research Paradigm 4.2: Research Methods      4.3:  Research Types 4.5.3 PRE-TESTING QUESTIONAIRES 4.5.5 Ethic for the survey Analysis 4.6-Sampling 4.6.1Sample and Sampling Methods Types of Sampling Techniques Probability sampling Non-probability sampling Sampling Methods Simple Random Sampling Systematic sampling Stratified Sampling  Advantages:   Disadvantages  Cluster Sampling  Quota Sampling  Accidental Sampling  4.6.2 Sample Size 4.7 Data Collection Techniques  Introduction: Data collection techniques: Quantitative and the qualitative data collection techniques: Interviews: Face to face interviews: Telephone Interviews: Questionnaires: Web based questionnaires: Qualitative data analysis: Deductive approaches: Inductive approach: 4.
pages
6 pages
.
.
9 pages
.

Data Ink and Graphical designs

Subject: Consumer Behavior

Model: APA

Type: Essay

Words: 483

.
3 pages
.
pages

Decision model

Subject: Business-to-Business Marketing

Model: APA

Type: Assignment

Words: 2798

3 pages
.
21 pages
.
18 pages
.

What is big data

Subject: Business-to-Business Marketing

Model: APA

Type: Case Study

Words: 4945

.
pages
.

Recent Documents