Data Literacy Notes PDF

Revision Time: 1. Cultivating Data Literacy means: a) Utilize vocabulary and analytical skills b) Acquire, develop, and improve data literacy skills c) Develop skills in statistical methodologies d) Develop skills in Math 2. Data Privacy and Data Security are often used interchangeably but they...

Revision Time: 1. Cultivating Data Literacy means: a) Utilize vocabulary and analytical skills b) Acquire, develop, and improve data literacy skills c) Develop skills in statistical methodologies d) Develop skills in Math 2. Data Privacy and Data Security are often used interchangeably but they are different from each other a) True b) False 3. The_____________________ provides guidance on using data efficiently and with all levels of awareness. a) data security framework b) data literacy framework c) data privacy framework d) data acquisition framework 4. _____________ allows us to understand why things are happening in a particular way a) data b) information c) knowledge d) wisdom 5.__________ is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle. a) data security b) data literacy c) data privacy d) data acquisition Quiz Questions 1. What are the basic building blocks of qualitative data? a. Individuals b. Units c. Categories d. Measurements 2. Which among these is not a type of data interpretation? a. Textual b. Tabular c. Graphical d. Raw data 3. Quantitative data is numerical in nature. a. True b. False 4. A Bar Graph is an example of? a. Textual b. Tabular c. Graphical d. None of the above 5. _____________ relates to the manipulation of data to produce meaningful insights. a. Data Processing b. Data Interpretation c. Data Analysis d. Data Presentation  Revision Time: 1. At which stage of the AI project cycle does Tableau software prove useful? Answer: Tableau software is most useful during the Data Visualization stage of the AI project cycle. At this stage, insights are presented in an accessible and interpretable way through charts, graphs, and dashboards, making it easier to communicate findings and support decision-making based on the data. 2. Name any five graphs that can be made using Tableau software Answer: Five types of graphs that can be created using Tableau software: 1. Bar Chart – Useful for comparing data across categories. 2. Line Chart – Ideal for displaying trends over time. 3. Pie Chart – Shows proportions within a whole. 4. Scatter Plot – Helps visualize the relationship between two variables. 5. Histogram – Used to visualize the distribution of numerical data by grouping it into bins or intervals. 3. In the below excel sheet- ▪ Is the Year qualitative or quantitative? Answer: Year-Quantitative – The year is a numerical value that represents a point in time. It's used for calculations and comparisons ▪ Is Song Length discrete or continuous? Answer: Song Length: Discrete – If the song length is given in minutes and seconds, it's a discrete value since you typically measure it in set intervals (e.g., 3 minutes 25 seconds, not 3.25 minutes exactly). It can only take certain specific values and is counted, not measured. ▪ Is the Genre discrete or continuous? Answer: Genre: Discrete – Genre is a categorical variable, representing specific categories or groups (e.g., rock, pop, jazz). It doesn't have a numerical order or continuity, so it is considered discrete. 4. What is the importance of data visualization? Importance of Data Visualization: 1. Simplifies Complex Data: Data visualization helps to represent complex data in a simple and understandable format. Charts, graphs, and diagrams make it easier to grasp large amounts of information at once. 2. Helps in Better Understanding: Visuals help people understand the data more effectively, highlighting trends, patterns, and outliers that are difficult to identify in raw data. 3. Improves Decision Making: By presenting data in a clear visual format, it helps people make informed decisions quickly. For example, businesses can understand sales trends or patterns through graphs. 4. Enhances Data Analysis: With data visualization, it’s easier to analyze and interpret large datasets, helping to identify key insights that might be missed in numerical tables.