University of The Cumberlands Data Visualization and Data Scientists Discussion
What is data visualization?
What is the purpose of visualizing data?
What is the difference between data and information, in terms of analyzing and visualizing data?
- What process is necessary to analyze or visualize data?
- What techniques do you hope to learn from this course?
- General forum requirements:
- Three posts are required: the initial post and two peer responses.
RESPONSE 1:
What is data visualization?
Data visualization, in simple terms, means to analyze data visually in a graphical or pictorial format. Data visualization helps decision-makers make decisions much more efficiently and effectively by making it easier to look at such massive data visually.
– What is the purpose of visualizing data?
The primary purpose of data visualization is to make it easier for decision-makers to interpret and analyze big complex data by just looking at graphs or pictures.
– What is the difference between data and information in terms of analyzing and visualizing data?
Data is a very unorganized and raw form of facts and figures or information. Data contains vast information; however, when the data is structured, interpreted, analyzed, and visualized, then it becomes information that is required.
In short, the conclusion made after analyzing and visualizing data is information.
– What process is necessary to analyze or visualize data?
The process necessary to analyze or visualize data is to first create the question and be clear on it, create or gather data, clean up the data by removing redundancies, errors, missing data, etc., selecting the graph type or pictorial best for representing the data, selecting a tool to create the pictorial format, manage the data in the tool, create a visualization.
– What techniques do you hope to learn from this course?
I really hope to learn new tools that can be used for data visualization. I also want to learn the efficient and effective ways to manage the data in raw form. I also want to be able to clean up data.
RESPONSE 2:
Peer Post 2
Data visualization is basically translating complex information into visual form so that it could be easily understood. The visual form can be in different types like maps, flowcharts, bar graphs, Pie charts, etc. Data visualizations help us to understand large data sets easily and they help us in identifying their pattern or occurrences.
The main purpose of data visualization is to collect the large/complicated data sets and compile that data into visual forms so that it becomes easy to understand and would become easy for decision making. With the help of data visualization even complex data can be understood easily and even by the person who’s not familiar with data.
Data is described as raw unstructured, unorganized facts whereas the information is basically organized and structured data that is shown or depicted in the visual form. Data is not dependent on information, but information depends on Data. Data is analyzed and transformed into a visual context which makes it as a piece of information that let us make decisions and understand the data better.
Ans:4 Design process is basically necessary for visualizing data. The design process is divided into 4 stages namely briefing the data which is usually to see that what is wrong or what we want to visualize from this data. The second part is the main in which we collect and clean the data. In the third stage, we will finalize the visualization technique to be used considering on factors like what data to display, data types, the Understanding ability of the audience. Forth and the last stage is creating the data into a visualization story so that it is easy to understand and fulfills its motive.
From this course, I hope to learn data visualization techniques with which I would be able to analyze and visualize my data easily and it would be greatly helpful in my career growth too.
