Data Visualization and Analysis Techniques

Flashcard
•
Mathematics
•
11th Grade
•
Hard
+4
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is data collection in the context of data science?
Back
Gathering and acquiring data from various sources.
2.
FLASHCARD QUESTION
Front
What are the steps involved in data analysis?
Back
1. Defining the problem and objectives 2. Collecting and cleaning the data 3. Exploring and analyzing the data 4. Drawing conclusions and making predictions 5. Communicating the results
3.
FLASHCARD QUESTION
Front
Why is data cleaning important in data science?
Back
Data cleaning is important in data science because it ensures the accuracy, consistency, and reliability of the data.
4.
FLASHCARD QUESTION
Front
What is the purpose of data visualization in data science?
Back
To present data in a visual format and help understand patterns, trends, and relationships within the data.
5.
FLASHCARD QUESTION
Front
What is the purpose of box and whisker plots in data science?
Back
To visualize the distribution of a dataset and identify outliers and spread of the data.
Tags
CCSS.6.SP.B.4
CCSS.HSS.ID.A.1
6.
FLASHCARD QUESTION
Front
Define data analysis.
Back
The process of inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making.
7.
FLASHCARD QUESTION
Front
What is the role of exploratory data analysis (EDA)?
Back
To analyze data sets to summarize their main characteristics, often using visual methods.
Tags
CCSS.6.SP.B.5B
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