Data Analysis Basics DA 102

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Questions and Answers

Which website has the lowest available price listed?

www.amazon.in

books.rediff.com (correct)

bookswagon.com

www.flipkart.com

Which website does not provide any price information?

www.amazon.in

www.snapdeal.com (correct)

bookswagon.com

www.flipkart.com

What is true about the price from bookswagon.com?

It is the lowest price available.

It is in stock and available for purchase.

It is the highest among the listed prices. (correct)

It is lower than books.rediff.com.

What challenge is mentioned regarding the price information?

Price information is unavailable for all websites. Signup and view all the answers

What implication does the price by snapdeal have?

It will not be considered as a real valued number. Signup and view all the answers

Which of the following statements is incorrect about the listed prices?

books.rediff.com has a price listed. Signup and view all the answers

What can be inferred about the prices listed in the table?

They vary across different ecommerce platforms. Signup and view all the answers

Which price is noted as being out of stock?

$5378 Signup and view all the answers

What does positive sentiment in customer reviews typically indicate?

The customer is satisfied with the product Signup and view all the answers

Which type of bias occurs when participants are not randomly selected?

Selection Bias Signup and view all the answers

What is an example of a measurement error?

Using inconsistent tools for data gathering Signup and view all the answers

Which bias is caused when participants provide answers they perceive to be acceptable?

Social Desirability Bias Signup and view all the answers

What is one of the consequences of nonresponse bias?

Skewed sample results Signup and view all the answers

What does data integrity issue commonly refer to?

Missing values in datasets Signup and view all the answers

Which of the following is NOT an issue in data collection?

Data Analysis Techniques Signup and view all the answers

What type of data collection method is prone to subjective measurements?

Surveys Signup and view all the answers

What is the primary goal of identifying potential customer churn?

To initiate retention plans before customers leave Signup and view all the answers

Which source of data can be used to understand the reasons for customer churn?

Data from billing and service departments Signup and view all the answers

What correlation is observed that might indicate potential customer churn?

More complaints raised equate to a lower rating on resolved complaints Signup and view all the answers

What is considered a challenge in predicting customer churn?

Diagnosing relationships between churn and data attributes visually Signup and view all the answers

Which tool is specifically known for its data visualization capabilities?

Tableau Signup and view all the answers

What type of data is indicated when analyzing user likes and dislikes on a video?

Quantitative data Signup and view all the answers

What is the role of predictive analytics in understanding customer churn?

To analyze historical data for relationships and patterns Signup and view all the answers

What does an increase in likes on a video strongly correlate with?

Increased revenue Signup and view all the answers

What might a company's retention plan include to combat customer churn?

Providing discounts for prior service usage Signup and view all the answers

Which platform is cited as an example for analyzing product reviews?

<a href="http://www.amazon.com">www.amazon.com</a> Signup and view all the answers

What does the term 'customer churn' refer to?

The percentage of customers who stop using a product or service Signup and view all the answers

What form is qualitative data primarily presented in, as mentioned in the content?

Text form Signup and view all the answers

When conducting an analysis on video content, the number of users liking or disliking the video serves what purpose?

To influence marketing strategies Signup and view all the answers

Which type of data is associated with detailed product reviews on e-commerce sites?

Textual data Signup and view all the answers

Which statement describes quantitative data correctly?

It includes counts and measurements. Signup and view all the answers

What kind of analysis is suggested for understanding user interactions on videos?

Correlational analysis Signup and view all the answers

What is the primary purpose of data in various fields such as science, business, and research?

To serve as a basis for computation and analysis Signup and view all the answers

Which of the following best describes qualitative data?

Represented by non-numerical characteristics Signup and view all the answers

What type of data does a timestamp represent?

Temporal Data Signup and view all the answers

Which type of data would you categorize an encoded file corresponding to a song?

Audio Data Signup and view all the answers

What is an example of mixed data?

A combination of quantitative and qualitative data Signup and view all the answers

What role does data play in the current digital age?

It acts as a key component for insights and informed decision making Signup and view all the answers

Which of the following data types can be characterized by Boolean values?

Qualitative Data Signup and view all the answers

What is the significance of understanding descriptive analytics?

It helps in summarizing historical data Signup and view all the answers

Study Notes

Introduction to Data Analysis

Data Analysis Basics course focuses on different data types, associated issues, and analytics concepts.
Learning objectives include understanding various types of data, analytics categories, and tools available for analysis.

Understanding Data

Data is defined as a collection of information, facts, or values crucial for computation and decision-making.
Types of data include numbers, text, images, audio, and video, forming the basis of insights across various fields.
Data serves as a key component in the digital era, functioning as raw material for transforming into meaningful information.

Types of Data

Quantitative Data: Includes numerical values that can be quantified, such as prices and scores.
Qualitative Data: Comprises non-numeric categories, such as marital status or job roles.
Temporal Data: Represents time-related entries, e.g., dates and time stamps.
Text Data: Consists of sequences of characters, including words and sentences.
Mixed Data: Combines multiple data types.
Audio and Image Data: Comprises media files captured through various devices.

Data Storage

Data can be organized in spreadsheets or textual forms like note pads, aiding in analysis.

Real-Valued Data Analysis

Example of real-valued data illustrated via price comparisons from various e-commerce websites.
Prices collected from websites show availability and stock status, leading to decision-making on purchases.

Qualitative Data Insights

Analysis of video likes/dislikes on platforms like YouTube reveals correlations with revenue potential.
Higher likes suggest positive reception, influencing financial outcomes.

Text Data Sentiment Analysis

Product reviews on sites such as Amazon can be analyzed for customer sentiment, indicating satisfaction levels with products.

Data Issues

Bias and Sampling Issues:
- Sampling Bias: Non-representative sample segments.
- Selection Bias: Non-random participant selection leading to skewed data.
- Nonresponse Bias: Lack of responses from selected participants impacting data integrity.
Measurement Issues:
- Measurement errors can result from inaccuracies in data collection tools.
- Subjective responses in surveys may lead to biased conclusions.
- Social Desirability Bias can skew true opinions.
Data Quality and Integrity Issues:
- Missing values and data entry errors undermine data reliability and completeness.

Customer Churn Example

Customer churn metrics identify the percentage of users discontinuing services.
Utilizing diverse data sources can predict churn, facilitating preemptive actions like customer retention plans.

Data Analytics Tools

Various tools are employed for data analytics, including:
- Microsoft Excel: Basic analysis and charting.
- Tableau: Data visualization and interactive dashboards.
- Power BI: Business intelligence and visualizations via Microsoft.
- QlikView/Qlik Sense: Reporting and visualization functionalities.
- R: Programming language for statistical computing and graphics.

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Description

This quiz covers the foundational concepts of data analysis, focusing on the various types of data, analytics issues, and the differences between descriptive and predictive analytics. Participants will also become familiar with the tools used in analytics. Perfect for students in the Bachelor of Science (Honours) in Data Science program.