Podcast
Questions and Answers
A ______ table is used to display the relationship between two categorical variables.
A ______ table is used to display the relationship between two categorical variables.
cross tab chart
A ______ is a graph that uses dots to represent values for two different variables.
A ______ is a graph that uses dots to represent values for two different variables.
scatter plot
Correlation refers to the relationship or connection between two sets of ______.
Correlation refers to the relationship or connection between two sets of ______.
data
When analyzing data, the first step is usually data ______, which involves gathering data through various methods.
When analyzing data, the first step is usually data ______, which involves gathering data through various methods.
Data ______ refers to the process of removing or correcting errors in data.
Data ______ refers to the process of removing or correcting errors in data.
Crowdsourcing is when a large group of people contribute to a ______ or help solve a problem.
Crowdsourcing is when a large group of people contribute to a ______ or help solve a problem.
Metadata is data that describes other ______.
Metadata is data that describes other ______.
Data ______ involves changing the format or structure of data for easier analysis.
Data ______ involves changing the format or structure of data for easier analysis.
Data bias happens when data is not representative of the entire ______.
Data bias happens when data is not representative of the entire ______.
When focusing on specific subsets of data, you use data ______.
When focusing on specific subsets of data, you use data ______.
Information is processed data that has meaning or is useful for making ______.
Information is processed data that has meaning or is useful for making ______.
Aggregation is the process of ______ data from multiple sources or summarizing it.
Aggregation is the process of ______ data from multiple sources or summarizing it.
Data ______ presents data in graphical formats like charts, graphs, or tables.
Data ______ presents data in graphical formats like charts, graphs, or tables.
Open data is data that is freely available to the ______, meaning anyone can access it.
Open data is data that is freely available to the ______, meaning anyone can access it.
A scatter plot is a graph that shows data points on a two-dimensional ______.
A scatter plot is a graph that shows data points on a two-dimensional ______.
Citizen science is when regular people participate in collecting or analyzing ______.
Citizen science is when regular people participate in collecting or analyzing ______.
To extract useful information, you might compute the average ______, identify trends, or filter out scores below a certain threshold.
To extract useful information, you might compute the average ______, identify trends, or filter out scores below a certain threshold.
Programs can be used to analyze, manipulate, and visualize ______ efficiently.
Programs can be used to analyze, manipulate, and visualize ______ efficiently.
Machine learning is a type of computer programming where computers learn from data without being explicitly ______.
Machine learning is a type of computer programming where computers learn from data without being explicitly ______.
______ are steps or processes used to solve a problem or perform a task.
______ are steps or processes used to solve a problem or perform a task.
Cleaning data means fixing mistakes in the data, like removing ______, correcting errors, and filling in missing values.
Cleaning data means fixing mistakes in the data, like removing ______, correcting errors, and filling in missing values.
A ______ is a type of graph that shows how often different ranges of values appear in a dataset.
A ______ is a type of graph that shows how often different ranges of values appear in a dataset.
You might use programming ______ like Python, JavaScript, or SQL to process and analyze data.
You might use programming ______ like Python, JavaScript, or SQL to process and analyze data.
Bias in data occurs when data is not representative of the entire ______ or is skewed in a certain direction.
Bias in data occurs when data is not representative of the entire ______ or is skewed in a certain direction.
Data analysis is the process of examining and interpreting data to find ______, trends, or insights.
Data analysis is the process of examining and interpreting data to find ______, trends, or insights.
______ bias occurs when the sample of data collected does not represent the entire population.
______ bias occurs when the sample of data collected does not represent the entire population.
Training data is the data used to teach a machine learning model how to make ______ or decisions.
Training data is the data used to teach a machine learning model how to make ______ or decisions.
Crowdsourcing involves obtaining input, data, or services from a large group of ______.
Crowdsourcing involves obtaining input, data, or services from a large group of ______.
Filtering data means selecting only specific parts of a dataset based on certain ______.
Filtering data means selecting only specific parts of a dataset based on certain ______.
Crowd Labor involves assigning small ______ to a large group of people to complete.
Crowd Labor involves assigning small ______ to a large group of people to complete.
A ______ chart is a graph that uses bars to represent different categories of data.
A ______ chart is a graph that uses bars to represent different categories of data.
Big data refers to extremely large datasets that are too complex for traditional data processing ______ to handle easily.
Big data refers to extremely large datasets that are too complex for traditional data processing ______ to handle easily.
Crowd Wisdom involves harnessing the collective knowledge or opinions of a large group to solve problems or make ______.
Crowd Wisdom involves harnessing the collective knowledge or opinions of a large group to solve problems or make ______.
Crowdfunding refers to gathering funds from a large number of people, typically via online ______.
Crowdfunding refers to gathering funds from a large number of people, typically via online ______.
One advantage of crowdsourcing is that it allows for ______ perspectives, incorporating ideas from diverse backgrounds.
One advantage of crowdsourcing is that it allows for ______ perspectives, incorporating ideas from diverse backgrounds.
Crowdsourcing can lead to increased ______ since many people can contribute at the same time.
Crowdsourcing can lead to increased ______ since many people can contribute at the same time.
A disadvantage of crowdsourcing is ______ control, which complicates the verification of contributions.
A disadvantage of crowdsourcing is ______ control, which complicates the verification of contributions.
Wikipedia is a prime example of using crowdsourcing to gather and edit its ______.
Wikipedia is a prime example of using crowdsourcing to gather and edit its ______.
Charts and graphs are commonly used tools for presenting data ______.
Charts and graphs are commonly used tools for presenting data ______.
Interpreting data often involves creating a summary of what the results ______ about trends and behaviors.
Interpreting data often involves creating a summary of what the results ______ about trends and behaviors.
The process of analyzing raw data to uncover useful patterns is called ______.
The process of analyzing raw data to uncover useful patterns is called ______.
Before analyzing data, it is crucial to ensure it is accurate and free of errors through ______.
Before analyzing data, it is crucial to ensure it is accurate and free of errors through ______.
Programs can be written to process data using algorithms or statistical methods for ______.
Programs can be written to process data using algorithms or statistical methods for ______.
Sampling ______ occurs when data collected does not represent the entire population.
Sampling ______ occurs when data collected does not represent the entire population.
Crowdsourcing involves obtaining data by soliciting contributions from a large group of ______.
Crowdsourcing involves obtaining data by soliciting contributions from a large group of ______.
A ______ graph uses rectangular bars to represent and compare discrete categories.
A ______ graph uses rectangular bars to represent and compare discrete categories.
A histogram represents the distribution of numerical data by displaying the ______ of data within value ranges.
A histogram represents the distribution of numerical data by displaying the ______ of data within value ranges.
Algorithmic ______ arises from biased input data, resulting in unfair outcomes.
Algorithmic ______ arises from biased input data, resulting in unfair outcomes.
Flashcards
Extracting Information from Data
Extracting Information from Data
The process of analyzing raw data to uncover useful patterns, trends, or insights.
Using Programs with Data
Using Programs with Data
Writing programs to process data, manipulate it, and extract insights automatically.
Computing Bias
Computing Bias
The systematic favoritism or skewing of results due to flawed data, biased algorithms, or improper sampling.
Crowdsourcing
Crowdsourcing
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Bar Graph
Bar Graph
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Histogram
Histogram
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When to Use a Bar Graph
When to Use a Bar Graph
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When to Use a Histogram
When to Use a Histogram
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What is correlation?
What is correlation?
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Explain crowdsourcing.
Explain crowdsourcing.
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What's metadata?
What's metadata?
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Define data bias.
Define data bias.
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What is information?
What is information?
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Describe open data.
Describe open data.
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What is a scatter plot?
What is a scatter plot?
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What is citizen science?
What is citizen science?
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What is Machine Learning?
What is Machine Learning?
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What is data cleaning?
What is data cleaning?
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What is a histogram?
What is a histogram?
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What is data analysis?
What is data analysis?
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What is training data?
What is training data?
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What is filtering data?
What is filtering data?
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What is a bar chart?
What is a bar chart?
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What is big data?
What is big data?
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What is a cross-tab chart?
What is a cross-tab chart?
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What is extracting information from data?
What is extracting information from data?
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What are the techniques for extracting information from data?
What are the techniques for extracting information from data?
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What is data collection?
What is data collection?
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What is data transformation?
What is data transformation?
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What is data filtering?
What is data filtering?
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What is data bias?
What is data bias?
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What are Algorithms?
What are Algorithms?
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What are Data Structures?
What are Data Structures?
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What is Crowdsourcing?
What is Crowdsourcing?
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What is Crowd Labor?
What is Crowd Labor?
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What are APIs?
What are APIs?
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What is Sampling Bias?
What is Sampling Bias?
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What is crowdfunding?
What is crowdfunding?
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What does data interpretation entail?
What does data interpretation entail?
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What are charts and graphs used for?
What are charts and graphs used for?
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What are summary statistics?
What are summary statistics?
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What is narrative data interpretation?
What is narrative data interpretation?
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What is quality control in crowdsourcing?
What is quality control in crowdsourcing?
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What is bias in crowdsourcing?
What is bias in crowdsourcing?
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Study Notes
Machine Learning
- Definition: A type of computer programming where computers learn from data without explicit programming.
- Example: A program that recognizes cats in photos.
Cleaning Data
- Definition: Fixing mistakes in data (duplicates, errors, missing values) to make it accurate for analysis.
- Example: Correcting "twenty" to "20" in an age list.
Histogram
- Definition: A graph showing how often different value ranges appear in a dataset.
- Example: A graph of student test scores showing scores between 0-10, 11-20, 21-30, etc.
Data Analysis
- Definition: Examining and interpreting data to find patterns, trends, or insights.
- Example: Analyzing sales data to determine popular products.
Training Data
- Definition: Data used to teach a machine learning model to make predictions.
- Example: Pictures of dogs and cats labeled "dog" or "cat" to train a model to recognize animals.
Filtering Data
- Definition: Selecting specific parts of a dataset based on criteria.
- Example: Selecting students who scored over 90 on a test.
Bar Chart
- Definition: A graph using bars to represent categories and their values.
- Example: A graph showing the number of students in different grade levels.
Big Data
- Definition: Extremely large datasets too complex for traditional processing methods.
- Example: Data generated by social media platforms.
Algorithm
- Definition: A set of instructions to perform a task or solve a problem.
- Example: A method to sort names alphabetically.
Correlation
- Definition: Relationship between two data sets.
- Example: Positive correlation between study time and test scores.
Crowdsourcing
- Definition: Obtaining input, data, or services from many people, often online.
- Example: Volunteers labeling photos for a project.
Metadata
- Definition: Data that describes other data.
- Example: Photo metadata including date, camera settings, and location.
Data Bias
- Definition: Data that is not representative of a population, leading to skewed or unfair conclusions.
- Example: A survey about video game preferences only including responses from young people.
Information
- Definition: Processed data with meaning, useful for making decisions.
- Example: A monthly sales report.
Open Data
- Definition: Data freely available to the public.
- Example: Government data about traffic patterns.
Scatter Plot
- Definition: A graph that shows data points on a grid to identify relationships.
- Example: Graphing study time vs. test scores.
Citizen Science
- Definition: Regular people participating in scientific research to collect or analyze data.
- Example: People recording bird sightings.
Cross Tab Chart
- Definition: A table displaying the relationship between two or more variables.
- Example: A table showing age group preferences for music types.
Extracting Information from Data
- Definition: Analyzing raw data to uncover patterns or trends.
- Techniques: Data collection, cleaning, transformation, filtering, aggregation, visualization.
Using Programs with Data
- Definition: Using programs to manipulate, analyze and visualize data.
- Tools: Algorithms, data structures, programming languages, APIs.
Computing Bias
- Definition: Systematic favoritism or skewing of results due to flawed data, biased algorithms or improper sampling.
- Types: Sampling bias, measurement bias, confirmation bias, and algorithmic bias
Crowdsourcing
- Definition: Obtaining input data, or services from a large group of people.
- Types: Crowd labor, Crowd wisdom and crowdfunding
- Advantages: Diverse perspectives, Efficiency and Cost-Effectiveness.
- Disadvantages: Quality control, potential for bias
Data Interpretation & Communication
- Definition: Interpreting data's analysis results and presenting them clearly.
- Tools: Charts & graphs, Summary Statistics, Narrative.
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Description
Test your knowledge on key concepts related to data analysis. This quiz covers terms like correlation, metadata, and data bias, helping you understand the foundational principles of handling and analyzing data. Ideal for students in data science or statistics courses.
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