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What is a data model?
✔✔ A framework used to organize and structure data for analysis
What is regression analysis used for?
✔✔ To predict the value of a dependent variable based on one or more independent variables
What is the purpose of a scatter plot in data visualization?
✔✔ To visualize the relationship between two continuous variables
What is the difference between descriptive and predictive analytics?
✔✔ Descriptive analytics summarizes historical data, while predictive analytics forecasts future
outcomes
What is a time series analysis used for?
✔✔ To analyze data points collected or recorded at specific time intervals
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,How can missing data be handled in a dataset?
✔✔ By either imputing missing values, removing rows or columns, or using algorithms that can
handle missing data
What is a box plot used to display?
✔✔ The distribution of data, including quartiles and outliers
What is hypothesis testing in data analytics?
✔✔ A statistical method used to test if a hypothesis about a dataset is true or false
What is the importance of data visualization in analytics?
✔✔ Data visualization helps communicate insights and findings from data in a more accessible
and understandable way
What is the purpose of using a pivot table in data analysis?
✔✔ To summarize and aggregate data based on specific categories
What does "data aggregation" mean?
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, ✔✔ The process of combining multiple data points to produce a summary or overall value
What is an outlier in a dataset?
✔✔ A data point that is significantly different from the other data points in the dataset
What is the purpose of feature engineering in data analysis?
✔✔ To create new features or modify existing ones to improve the performance of predictive
models
What is the role of machine learning in data analytics?
✔✔ Machine learning algorithms can analyze data to identify patterns and make predictions or
decisions without explicit programming
What is a bar chart used for?
✔✔ To compare discrete categories or values across different groups
What is the difference between supervised and unsupervised learning in machine learning?
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