All Flashcards
How is data mining applied in real-world scenarios?
Analyzing customer purchase history to identify trends.
How is text analysis applied in real-world scenarios?
Determining the tone of writing or sorting product reviews.
How is data visualization applied in real-world scenarios?
Creating graphs and charts to represent sales data or population trends.
How is data filtering applied in real-world scenarios?
Extracting subsets of customer data based on demographics.
How is data transformation applied in real-world scenarios?
Modifying every element of a dataset, such as multiplying all values by a constant.
How can identifying trends in data be useful for a business?
Predicting future sales and adjusting inventory accordingly.
How can identifying patterns in data be useful for a business?
Understanding seasonal sales trends.
How can identifying outliers in data be useful for a business?
Investigating the reasons for unusual sales spikes or dips.
How is data mining used in healthcare?
To identify patterns in patient data to improve treatment outcomes.
How is data visualization used in environmental science?
To represent climate change data and its impact on ecosystems.
What are the differences between data mining and data processing?
Data mining: Discovering patterns | Data processing: Recording, modifying, and organizing data.
What are the differences between a pattern and a trend in data analysis?
Pattern: Repeating data | Trend: Data changing over time.
What are the differences between correlation and causation?
Correlation: Relationship between variables | Causation: One variable directly causes another.
What are the differences between data filtering and data transformation?
Data filtering: Creating subsets | Data transformation: Modifying data to extract more information.
What are the differences between identifying trends and identifying outliers?
Trends: General direction of change | Outliers: Unusual data points.
What are the differences between text analysis and data visualization?
Text analysis: Finding patterns in text | Data visualization: Representing data visually.
What are the differences between data processing and data visualization?
Data processing: Recording, modifying, organizing data | Data visualization: Visually representing data.
What are the differences between patterns and correlations?
Patterns: Repeating sequences | Correlations: Relationships between variables.
What are the differences between data mining and text analysis?
Data mining: Analyzing large datasets | Text analysis: Analyzing patterns in text.
What are the differences between data filtering and data mining?
Data filtering: Creating subsets | Data mining: Discovering patterns in large datasets.
What is Data Mining?
Examining large datasets to find useful information, patterns, or relationships.
What is Data Processing?
Using computer programs to record, modify, and organize data.
What is Text Analysis?
Looking for patterns within text to categorize or classify it.
What is Data Visualization?
Creating tables and diagrams to visually represent data.
What is Data Filtering?
Creating and extracting subsets of data based on specific criteria.
What is Data Transformation?
Modifying data to extract more information.
What is a Pattern in data analysis?
Something that repeats in a dataset.
What is a Trend in data analysis?
Rising, falling, or fluctuating data over time.
What is Correlation in data analysis?
Relationships between variables.
What are Outliers in data analysis?
Unusual data points.