Skip to navigation Skip to content
Menu
  • Offerings
    • Curriculum Builder
    • AI Certificate
    • Applied Data Science
    • Internships
  • Who We Serve
    • Curriculum Providers
    • Higher Education
      • Course Catalog
    • K-12
    • Corporate
  • News & Insights
  • Contact
  • Sign in
 Support  Sign in
  1. Home
  2. Posts tagged “framing exploratory data analysis”

Tag: framing exploratory data analysis

Data Fluency Data Literacy Training

What is a Statistical Question?

A statistical question is a question that can be answered by collecting and analyzing data. Here are some ways to tell if a question is a statistical question: The question asks for a numerical or quantitative answer. For example, “How many students in the class have a dog as a pet?” The question requires data […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Ask to Explore Rates, Ratios, and Proportions?

Hey there! Are you looking to gain valuable insights into your data? Then, you’ll want to explore rates, ratios, and proportions. These powerful tools allow you to compare two or more values within a dataset, giving you a deeper understanding of the relationships between variables. So, how can you use rates, ratios, and proportions to […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Use to Guide My Bivariate Analysis?

Bivariate analysis is a way of exploring the relationship between two variables in a dataset. Here are some examples of bivariate analysis questions in EDA: Is there a relationship between two variables in the dataset? For example, “Is there a relationship between height and weight in the dataset?” How strong is the relationship between two […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Ask to Explore Measures of Position and Rank?

When exploring a dataset, it’s important to understand the position or rank of the data. Here are some good questions to ask when exploring measures of position or rank: What is the minimum and maximum value in the dataset? This question helps you understand the range of the data. For example, “What is the lowest […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Ask to Explore Univariate Distributions?

When exploring univariate data, it’s essential to understand the distributions and variability of the data. Here are some good questions to ask when exploring distributions and variability in univariate data: What is the range of the data? This question helps you understand how spread out the data is. For example, “What is the range of […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Comparative Questions Should I Use to Explore Data?

When exploring a dataset, you might want to compare the distributions of different variables. Here are some good questions to ask when exploring comparisons between distributions: Are the distributions similar or different? This question helps you understand if the variables are similar or different in terms of their distribution. For example, “Do the test scores […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

How Do I Use Follow-up Questions to Dive Deeper in Data Exploration?

Follow-up questions are an important part of Exploratory Data Analysis (EDA) because they help you drill down deeper into data patterns and uncover more insights. Here are some tips on how to use follow-up questions to guide your EDA: Start with general questions: Begin by asking broad questions about the dataset to get a general […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

How Do I Use Questions to Guide Exploratory Data Analysis?

Exploratory Data Analysis (EDA) is all about exploring a dataset to uncover patterns and insights. Here are some common questions to guide your EDA: What are typical values for the variables? This question helps you understand what the common or average values are for the variables in the dataset. For example, “What is the typical […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Ask When Exploring Descriptive Statistics?

Descriptive statistics are a way to summarize and describe the important features of a dataset. Here are some good questions to ask when exploring descriptive statistics: What is the range of the data? This question helps you understand how spread out the data is. For example, “What is the range of the temperatures in the […]

March 2, 2023January 8, 2024
Data Fluency Data Literacy Training

What Questions Should I Ask When Exploring Variable Relationships?

When exploring a dataset, one of the things you might want to investigate is how variables are related to each other. Here are some good questions to ask when exploring variable relationships or associations: Are there any patterns or trends in the data? For example, do higher temperatures lead to higher ice cream sales? Are […]

March 2, 2023January 8, 2024
  • 1
  • 2

Sidebar

Categories

  • Blog
  • Business
  • Company
  • Curriculum
  • Data Fluency
  • Data Literacy
  • Education
  • Guides
  • Homeschooling
  • Industry News
  • Jobs
  • K-12
  • Learning
  • Media
  • Partners
  • Processes & Tools
  • Quotes
  • Recruiting
  • Research
  • Review Long
  • Review Short
  • Startups
  • Tech
  • Technology
  • Training
  • Uncategorized
  • Workforce
    • Data Scholars

Recent Posts

  • QuantHub Achieves ESSA Level III Certification, Demonstrating Measurable Impact on Learning Outcomes
  • My Data Scholar Story: Rylee
  • My Data Scholar Story: Hannah
  • My Data Scholar Story: Trisha
  • 🎓 AI That Teaches, Not Cheats, Boosts GPAs

Tags

AI productivity tool landscape Becoming data literate Building data pipelines with Python Building web applications with Python Careers data ethics data fluency data literacy Data Scholars data science data security data skills data use cases data wrangling Decision Making Designing a statistical study designing chart scaffolding designing visual narratives Education exploratory data analysis exploring association exploring central tendency exploring correlation exploring dispersion Exploring distributions framing exploratory data analysis human resources identifying chart types identifying data Internships INTERPRETING CHART SCAFFOLDING interpreting statistical results interpret statistical information INTRODUCTION TO READING CHARTS newsletter power bi recruiting selecting charts SQL Testing a hypothesis Visual Literacy working with dashboards Working with Python working with spreadsheets ​​Recording data

Follow us

  • LinkedIn
  • Facebook
Data Fluency and Data Literacy

Support Chat is available to registered users Monday thru Friday, 8:00am to 5:30pm CT.

  • Facebook
  • LinkedIn
  • Home
  • Corporate Data Literacy
  • Individual Data Fluency
  • Data Skills for K-12
  • Data Skills Tests for Hiring
  • Data Fluency Research
  • Terms & Conditions
  • Privacy Policy

© 2024 - QuantHub. All rights reserved. QuantHub offers data literacy and data fluency training courses in K-16 education and corporate settings.

Top
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
View preferences
  • {title}
  • {title}
  • {title}