Hello please do this paper and send me as soon as possible and send me thank you. and the course number is ITS 530, course name is Analyzing and Visualising Data.

Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.

Requirements:

Provide a 500 word (or 2 pages double spaced) minimum reflection.

Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.

Share a personal connection that identifies specific knowledge and theories from this course.

Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.

You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.

this paper needs to talk about the entire course and the knowledge i have obtained about the objectives. it includes 5 chapters,1 Defining Data Visualisation 2 Visualisation Workflow PART B THE HIDDEN THINKING 3 Formulating Your Brief 4 Working With Data 5 Establishing Your Editorial Thinking.

just write 2 pages about this subject and send me as soon as possible.

Chapter 1.components of understanding/

A Definition for Data Visualization

Data

Representation

Presentation

Understanding

Process of Understanding

Perceiving

Interpreting

Comprehending

The Importance of Conviction:

Principles of Good Visualization Design

Trustworthy

Accessible

Elegant

Principle 1: Good Data Visualization is Trustworthy

Trust vs Truth

Trust Applies Throughout the Process

Principle 2: Good Data Visualization is Accessible

Reward vs Effort

The Factors Your Audiences Influence

The Factors You Can Influence

chapter 2 visualization work flow:

Four Stages of the Visualization Workflow

Formulating your brief

Working with data

Establishing your editorial thinking

Developing your design solution

Formulating your brief:

Planning

Defining

Initiating your project

General tips and tactics

Managing progress and resources

Room to think

Heuristics to support decisions

Pen and paper

Note-taking

Communication

Research

Attention to detail

Make it work for you

Be honest with yourself

Learn

chapter 3 Formulating Your Brief:

A brief represents a set of expectations and captures all the relevant information about a task or project.

Establish clarity about the definitions and requirements of a project

Establish context of and vision for your work.

Different Contextual Challenges

Personal

Stakeholder

Audience

Anticipated

Potential

Harnessing idea:

Mental Visualization

Keywords

Sketching

Research and Inspiration

Limitation of your ideas

Limitation of others ideas

chapter 4 Working With Data:

Data Assets and Tabulation Types:

Two main categories

oData that exist in tables; Datasets

oData that exist as isolated values

o

Data Types

oLevels of data or scales of measurement

oType of exploratory data analysis you can undertake

oEditorial thinking you establish

oSpecific chart types you might use

oColor choices and layout decisions around composition

Textual (Qualitative)

oUnstructured streams of words

oDescriptive details of a weather forecast for a given city

oThe full title of an academic research project

oThe description of a product on Amazon

chapter 5 Establishing Your Editorial Thinking:

What is Editorial Thinking:

Angle

Relevant

Sufficient

Framing

Focus

Summary: Establishing Your Editorial Thinking:

Angle

Must be relevant in its potential interest for your audience.

Must have sufficient quantities to cover all relevant views but no more than required.

Framing

Applying filters to your data to determine the inclusion and exclusion criteria.

Framing decisions must provide access to the most salient content but also avoid any distorting of the view of the data.

Focus

Which features of the display to draw particular attention to?

How to organize the visibility and hierarchy of the content?