Question

Share with your classmates the data visualisations you have created based on the sample data set, by posting screenshots of your charts and graphs on the class-wide forum. Reflect on how appropriate the different visualisations are for authentic representation of the data, and express which aspects of data visualisation play an important role in “telling the truth” about your data.

Answer 1

• What is the data visualizations important?

Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization can also: Identify areas that need attention or improvement.

• What are the data visualization technique?

Data Visualization Techniques: Diagrams, charts, graphs. Before starting anything understand the data. Like its size how much effort it will take. Make sure you know what type of data you want to get. Keep the audience in your head, and present the data the way your audience wants to get.

• What are the data visualization tools?

Today's data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, spark lines, heat maps, and detailed bar, pie , histogram scatter parato chart and fever charts.

• How does visualization of big data help in interpreting information?

3 Ways Interactive Visualization Helps Interpret Data. Therefore, organizations need information experts who can analyse large amounts of data and produce reports that provide meaningful value. Interactive visualization could become the remedy for generating actionable information from mountainous data sources.

• How is data Visualization used?

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science.

What are the benefits of data visualization?

Benefits of Data Visualization

1. Constructing ways in absorbing information. Data visualization enables users to receive vast amounts of information regarding operational and business conditions.
2. Visualize relationships and patterns in Businesses.
3. Acting on emerging trends faster.
4. Geo-Spatial Visualization.

• What are the three most important principles of data visualization?

Here are some of the key design principles for creating beautiful and effective data visualizations for everyone.

1. Balance the design.
2. Emphasize the key areas.
3. Illustrating movement.
4. Smart use of patterns.
5. Proportion.
6. Proper rhythm.
7. Variety.
8. Theme.

• What are the different types of data visualization?

1. Bar Chart
2. Line Chart
3. Scatter plot
4. Spark line
5. Pie Chart
6. Gauge
7. Waterfall Chart
8. Funnel Chart
9. Heat Map
10. Histogram
11. Box Plot

• Why is visualizing data so important?

Data visualizations make big and small data easier for the human brain to understand, and visualization also makes it easier to detect patterns, trends, and outliers in groups of data. Good data visualizations should place meaning into complicated data sets so that their message is clear and concise.

What are the 8 best data visualization software of 2019?

1. Sisense.
2. Looker.
3. Periscope Data.
4. Zoho Analytics.
5. Tableau.
6. Domo.
7. Microsoft Power BI.
8. Qlikview.

• What is a Visualization diagram?

Visualization Diagrams • A visualization is a drawing created by hand or digitally showing what something will look like when created. • They are used to plan for still images or products and can be a rough sketch or a detailed final design.

• Why is text added to a data visualization presentation?

Text is added to a data visualization because it makes the visualization present easier to understand. Text plays a crucial role in enhancing the readability of the data. Many parts of the text plays different roles such as, Introduction text- This is used to give readers a preview of the presentation.

• What is the purpose of using a dashboard for data visualization?

Data dashboards provide an objective view of performance metrics and serve as an effective foundation for further dialogue. A dashboard is a business intelligence tool used to display data visualizations in a way that is immediately understood.

The most out the uses for the data visualization of the datasets are the most uses full tools is seven quality control tools and as also known as 7 QC tools.

QC tools are the MEANS for Collecting data Analyzing data. Identifying root causes? These tools are related to NUMERICAL DATA PROCESSING.

The basis tools for data visualization is given below,

1. HISTOGRAM
2. CHECK SHEET
3. PARETO CHART
4. CAUSE AND EFFECT DIAGRAM
5. DEFECT CONCENTRATION DIAGRAM
6. SCATTER DIAGRAM
7. CONTROL CHARTS

This are the most use full for data visualization and best presentation of the  posting screenshots of your charts and graphs.