answers
What are the top-selling products in each location?
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A retail company collects data on its sales for the last quarter. The data
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includes information on the sale of the products sold, the price, the quantity,
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and the sale location.
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Which type of question can the data analytics project answer based on the
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available data? |\
Sales data categorized by product
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A business seeks to increase profitability and optimize inventory
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management. They decide to carry out data analytics research to determine|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
which merchandise is selling quickly and which is selling slowly. The
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research seeks to determine whether there is a relationship between the kind
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of merchandise and sales velocity. Which data is required to answer the
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question for the data analytics project in the scenario?
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Patient feedback survey results|\ |\ |\
A healthcare provider aims to improve patient satisfaction and retention.
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They seek to answer the question, "What factors are associated with patient
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satisfaction?" Which data is required to answer this question in the scenario?
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Customer device usage data |\ |\ |\
A financial institution is seeking to reduce the risk of fraudulent
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transactions. The institution has customer data that includes account
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information, transaction history, demographics, and device usage. The data
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analytics project aims to answer the question: "What patterns of behavior
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,suggest a higher risk of fraudulent transactions?” Which data is required to
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meet the needs of the project and address the risk of fraudulent transactions?
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What are the most popular products among customers aged 18-25?
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An e-commerce company has collected various types of data about their
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customers, products, and sales transactions. The available data includes
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customer demographics, product attributes, purchase history, website
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clickstream data, and customer feedback .Which question can be answered
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using data analytics based on the available data?
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Is the data correct?
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A food delivery company would like to study economic conditions' effects on
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sales. The analyst in charge of the project is planning on gathering
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economic data from a well-known blog. Which question should the analyst
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consider in the scenario? |\ |\ |\
What is the impact of the outliers on the analysis?
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A data analyst is planning the data preparation phase of a data analysis
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project. During planning, they consider what to do if the data contains a lot
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of outliers. Which question should the analyst consider in this scenario?
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Linear regression model |\ |\
A pivot table is created using R programming representing 12 categories of
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food or grocery items with the corresponding unit sales and revenue
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generated over the last year. The scatterplot between the unit sale and
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revenue earned is sum_unit and sum_dollars, respectively. Scatterplot:
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Which data analytics techniques will be impactful based on the scatterplot?
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Are all the relevant variables present?
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A data analyst is working on a project to identify the main reasons for
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customer complaints and is planning to review the data. Which question
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should the analyst consider in this scenario?
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,What is the format and structure of the data?
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A data analyst plans to explore possible indicators of fraud in bank
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transactions. The analyst is considering different tools that can be used to
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collect the data needed. Which question should the analyst consider when
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identifying the tool to use? |\ |\ |\ |\
What is the response rate for the survey?
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A company will survey its customers to understand the potential demand for
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a new product. A data analyst will review the data. Which question should
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the analysis consider to validate the representativity of the data?
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Text analysis |\
A retail company wants to improve customer satisfaction by understanding
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the factors that influence customer loyalty. The company has collected
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customer feedback data from different sources, such as online surveys, social
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media platforms, and customer support calls. Which data analytic technique
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should be used to identify the factors influencing customer loyalty based on
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the collected customer feedback data?
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Logistic regression analysis |\ |\
A data analyst working for a digital marketing agency wants to analyze
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customer data to identify factors that are most strongly associated with
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customer churn. The analyst has access to a database of customer
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information, which includes data such as age, gender, location, income,
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purchasing behavior, engagement with the agency's services, and customer
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satisfaction ratings. Which data analytic technique should be used to identify
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factors that are strongly associated with customer churn for the agency?
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Regression analysis is used to analyze the relationship between one or more
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independent variables and a dependent variable. |\ |\ |\ |\ |\
A car manufacturing company is looking to improve its production by
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analyzing how factors such as temperature, humidity, and machine
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, performance affect production efficiency. To identify the key factor that
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affects efficiency the most, an analyst uses the regression analysis technique.
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What justifies the use of regression analysis for the given task?
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Which data analytic technique would be most appropriate to identify any
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trends or patterns in the clothing store's sales data?
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A clothing store has been tracking its sales data for the first five months of
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the year. They have collected data on the number of items sold, the average
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price per item, and the total revenue generated each month. They are
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required to analyze their sales data to identify any trends or patterns and
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improve their sales strategy. Here is a sample data table:
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Association rules analysis |\ |\
A data analyst working for a retail company analyzes the purchasing
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behavior of customers to identify patterns and recommend products. Which
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data analytic technique is most appropriate for analyzing the transaction
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data?
Time series |\
An energy company wants to predict future energy demand to optimize
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production. The company has an extensive data set on historical energy
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usage. Which data analytic technique is best suited for this scenario?
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The p-value|\
A pharmaceutical company wants to understand if a new drug reduces
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fevers. The data suggest a fever reduction when using the drug. The
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company's data analysts study the data to determine whether the effect
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observed could have occurred by chance. Which data analytic calculation
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should the analysts perform?|\ |\ |\
data analytics
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The process of analyzing data to extract insights
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-___ involves analyzing data to extract insights and inform decision-making.
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