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Practice Data Analytics Languages Questions and Answers

Which visualization library in R is most effective for creating interactive, web-based data visualizations?
A retail company is experiencing declining sales despite increasing website traffic. Which of the following steps best aligns with a data analyst's respons...
You are tasked with analyzing sales data from multiple sources for a quarterly report. The raw data contains missing values and duplicate records. What sho...
A company wants to reduce its high customer churn rate. As a data analyst, which metric is most important to focus on during your initial analysis?
You are combining sales data from three different sources, each with slightly different column names for the same information (e.g., "Product_ID," "ProdID,...
A team leader requests a dashboard to display key performance indicators (KPIs) for the sales department. What is the most important consideration when des...
A hospital uses a data-driven approach to improve patient care. They identify that patients with similar conditions respond differently to treatments based...
A retail chain wants to predict next month's sales based on historical data and seasonal trends. Which of the following methods is the most suitable for th...
A company notices a sudden spike in product returns during a specific quarter. Which type of analysis should be conducted to identify the root cause and pr...
A bank notices unusual activity in a customer’s account, such as multiple large withdrawals in a short period. What is the most appropriate technique to ...
A marketing team wants to segment customers based on their purchasing frequency and average transaction value. Which framework is most appropriate for this...
A company is analyzing customer feedback to classify it into two groups: "Positive" and "Negative." What type of data and analysis is being employed?
Which of the following is an example of semi-structured data?
In a machine learning experiment, the company wants to predict future sales based on advertising spend. What is the dependent variable in this scenario?
Which characteristic best distinguishes big data from traditional data?
Which of the following is the best example of metadata in a database system?
A company wants to analyze customer sentiment about their new product by extracting data from Twitter. Which data collection method is most appropriate for...
You receive a dataset with missing values in multiple columns. What is the most effective approach to handle these missing values?
A dataset contains "USA," "United States," and "U.S." as country entries. What is the best way to resolve these inconsistencies?
Which technique is most appropriate to handle skewed numerical data in a dataset?
Which storage method is most suitable for managing large-scale unstructured data like videos or social media posts?
A data analyst is tasked with evaluating customer feedback from a population of 1,000,000 survey responses. Why is sampling an essential technique in this ...
Which of the following is an example of non-random sampling?
A company divides its employees into departments (e.g., HR, IT, Marketing) and then selects random samples from each department for a satisfaction survey. ...
How can selection bias be minimized in a survey of employee job satisfaction?
What factor is the most critical when determining the appropriate sample size for a study?
If a dataset has a mean significantly higher than the median, which of the following is most likely true?
Which visualization tool is best suited for creating interactive dashboards with advanced business intelligence capabilities?
A scatter plot reveals a strong positive linear relationship between two variables. Which of the following is the most appropriate statistical measure to c...
In hypothesis testing, which of the following best describes the p-value?
A study estimates the average weight of a population with a 95% confidence interval of (65 kg, 75 kg). What does this mean?
A company notices an increase in sales every December due to holiday shopping. Which component of time series data does this represent?
Which of the following forecasting methods is most suitable for data with a linear trend but no seasonality?
In time series decomposition, which component is removed to achieve stationarity?
Which test is commonly used to check stationarity in time series data?
Which of the following scenarios demonstrates an appropriate application of time series analysis?
You have a dataset with sales data for multiple regions and months. You want to calculate the total sales per region and then filter the regions with total...
Given the following tables: Orders (OrderID, CustomerID, OrderDate) and Customers (CustomerID, CustomerName, City), what SQL query will return the names of...
Which Python library is most commonly used to calculate the correlation matrix of a dataset in preparation for predictive modeling?
In R, which function is used to perform a t-test for comparing the means of two independent samples?

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