CSP Unit 5: Data

What is data analysis?

• Data analysis is the process of inspecting, cleaning, transforming, and modeling data in order to discover useful information, draw conclusions, and support decision-making.

• Data analysis is the process of visualizing data using charts and graphs.

• Data analysis is the process of organizing data in a database.

• Data analysis is the process of collecting data from various sources.

Aria, Noah, and Priya are working on a computer science project. Why is their data analysis important?

• Data analysis is not important in their computer science project

• Data analysis is only important in other fields, not in their computer science project

• Data analysis is only important for large companies, not for their small project

• Data analysis is important in their computer science project because it helps in making informed decisions, identifying patterns and trends, detecting anomalies, improving performance, and optimizing processes.

Tags

NGSS.MS-ETS1-3

NGSS.MS-ETS1-4

What are the steps involved in data analysis?

• Collect the data, Analyze the data, Draw conclusions, Communicate the results, Evaluate the results

• Define the problem and objectives, Collect and prepare the data, Analyze the data, Present the data, Evaluate the data

• Define the problem and objectives, Collect and prepare the data, Explore and analyze the data, Draw conclusions and make predictions, Communicate the results.

• Define the problem and objectives, Analyze the data, Draw conclusions, Communicate the results, Evaluate the results

Tags

NGSS.MS-LS2-1

Arjun, Mia, and Daniel are working on a project. They have a lot of raw data and are unsure about how to present it. Arjun suggests they use data visualization. How would you describe data visualization to them?

• The representation of data or information in a graphical or pictorial format.

• The process of encrypting data

• The analysis of data using statistical methods

• The process of converting data into audio format

Tags

NGSS.MS-PS3-1

Abigail, Noah, and Benjamin are working on a project that involves a large amount of data. They are debating on the best way to present their findings. What are the benefits if they choose data visualization?

• Data visualization is only useful for presenting data to a large audience

• Data visualization is time-consuming and not worth the effort

• Data visualization helps in understanding complex data, identifying patterns and trends, making data-driven decisions, and communicating information effectively.

• Data visualization is only applicable to certain industries

Tags

NGSS.MS-PS3-1

Liam, Priya, and Henry are working on a project for their data science class. They have collected a lot of data and are now considering different ways to visualize it. What are the different types of data visualization techniques they could use?

• bar graphs, line plots, scatter diagrams, pie diagrams, heat charts, bubble charts

• bar charts, histograms, scatter plots, cross tab

• bar graphs, line plots, scatter diagrams, pie diagrams, heat charts, network diagrams

• bar graphs, line plots, scatter diagrams, pie diagrams, heat charts, tree diagrams

Tags

NGSS.MS-PS3-1

What are the best practices for creating effective data visualizations?

• Identify the purpose, choose appropriate type, simplify design, use clear labels, ensure accessibility

• Use small font sizes and unclear labels to save space

• Use as many colors as possible, even if they don't relate to the data

• Make the design as complex as possible to impress viewers

Tags

NGSS.MS-PS3-1

How can data visualization help in decision-making?

• Data visualization helps in decision-making by presenting complex data in a visual format that is easy to understand and interpret.

• Data visualization has no impact on decision-making.

• Data visualization only works for small datasets.

• Data visualization makes decision-making more complicated.

Tags

NGSS.MS-PS3-1

Abigail and Daniel are working on a project where they need to explore two columns of data at the same time. Oliver suggests a few visualization techniques. Which of these techniques would be most suitable for Abigail and Daniel's needs?

• Bar charts and Histograms

• Bar charts

• Histograms

• Scatter plots and Cross tab

Tags

NGSS.MS-PS3-1

Aiden, Rohan, and Priya are working on a school project. They have collected data and are deciding how to represent it. When should they use bar graphs and histograms?

• When their data is not uniform

• When they have collected a large amount of data

• When they are analyzing data from one column only

• When they need to analyze multiple values