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Unit 2 - Data Literacy
Part-2(Acquiring Data, Processing, and Interpreting Data)
Q
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E
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, height, weight, temperature, voltage
● Discrete data is numeric data that contains only whole numbers and cannot be fractional E
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the number of students in
the class – it can only be a whole number, not in decimals
Q
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How to acquire data?
Ans: Data Acquisition, also known as acquiring data, refers to the procedure of gathering data
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The process typically comprises three key steps

The process of searching and downloading data from the internet is called data discovery
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Where from we can collect the Data?
Ans:Sources of Data Various Sources for Acquiring Data:
● Primary Data Sources — Some of the sources for primary data include surveys, interviews, experiments, etc
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● Secondary Data Sources—Secondary data collection obtains information from external sources, rather than
generating it personally
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On the basis of which attributes ,data will be called good or bad?
Ans:

Q5
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What are the Ethical concerns in data acquisition
Ans:While gathering data and choosing datasets, certain ethical issues can be addressed before they occur:

Q7
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Structure- Defines how data is stored
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Cleanliness- Clean data is free from duplicates, missing values, outliers, and other anomalies that may affect its
reliability and usefulness for analysis
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3
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Accurate data
closely reflects actual values without errors, enhancing the quality and trustworthiness of the dataset
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They describe each piece of
information in a dataset
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In AI models, we need two types of features: independent and dependent
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Dependent features, on the other hand, are the outputs or results of the model—they're what we're trying to predict
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Ans: Data Processing and Data Interpretation:
Data Processing ▪ Data processing helps computers understand raw data
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Data Interpretation ▪ It is the process of making sense out of data that has been processed
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Q- Briefly discuss some keywords related to Data
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Data Processing- After raw data is collected, data is processed to derive meaningful information from it
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Data Interpretation – It is to be able to explain what these findings/conclusions mean in a given context
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Q-How to interpret data?
Ans:

Qualitative Data Interpretation
● Qualitative data tells us about the emotions and feelings of people
● Qualitative data interpretation is focused on insights and motivations of people
Q- How we can collect data?
Ans: Data Collection Methods –
1
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It is similar to going to a library
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➢
Focus groups: In this method, data is collected from a group discussion on relevant topic
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One-to-One Interviews: In this method, data is collected using a one-to-one interview
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Quantitative Data Interpretation
Interviews: Quantitative interviews play a key role in collecting information
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Polls are usually limited to one
question
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Q-List the ways in which data can be presented?
Ans: Types of Data Interpretation There are three ways in which data can be presented:

Textual DI ▪ The data is mentioned in the text form, usually in a paragraph
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Tabular DI ▪ Data is represented systematically in the form of rows and columns
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▪ Column Headings (Year; Salary; Transport; Bonus; Interest ) contains the description of information
contained in columns
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What are the different methods to interorate data graphically?
Ans: Graphical Data Interpretations:

Graphical data interpretation

Bar Chart

Pie Chart

Line Chart

1
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2
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Line Graphs
▪ A line graph is created by connecting various data points
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