Exactly how does the age of a mango tree affect the quality of the fruit? https://about.dataclassroom.com/ready-to-teach/too-old-to-mango Researchers at the Indian Agricultural Research Institute (ICAR) in New Dehli sought to answer this question, and we have the data.

What can we learn from the “shape” of our data? What might we want to look at next? Have a play and find out! https://about.dataclassroom.com/blog/playing-with-data #DataScience #TeachingStats #DataLiteracy

An idea: if you make a carousel big enough, it could be both a kiddie ride AND a thrill ride. In this activity for physics students at any level, students assess the data - will it work? https://about.dataclassroom.com/ready-to-teach/carousel-thrill-ride

DataClassroom makes migration to coding-based analysis easy, allowing students to gain confidence along the way. #DataScience #TeachingStats #DataLiteracy

Why are data types so important to understand? Because they guide your thinking before and after your experiment. Analysis is so much easier with this context! https://about.dataclassroom.com/blog/understanding-data-types #DataScience #TeachingStats #DataLiteracy #experimentaldesign

Using real data, students can ask questions such as: Are earthquakes becoming more intense? Where do the most intense earthquakes tend to occur? Examine this worldwide dataset to find answers backed by evidence! https://about.dataclassroom.com/ready-to-teach/anticipating-earthquakes

Ease of use allows students to focus their attention on the actual analysis... #DataScience #TeachingStats #DataLiteracy

A great free resource from the folks at DS4E - learning progressions for the classroom! These progressions were created to help educators build data skills into learning experiences at every grade level. Explore the full framework at https://datasciencelearning.org

In this Digital Data Nugget, students answer the scientific question: How does temperature affect the flowering time of dame’s rocket? https://about.dataclassroom.com/ready-to-teach/springing-forward

Nice to get this feedback all the way from Switzerland! #DataScience #TeachingStats #DataLiteracy

This odd-looking data point: “It’s an outlier”. But what does that mean, and what should we do about it - if anything? https://about.dataclassroom.com/blog/outliers #DataScience #DataLiteracy @dsforeveryone

TONIGHT! In this hands-on DataClassroom webinar, you’ll use three powerful “tidy data” tools: Melt, Count, and Uncount. Learn a repeatable workflow for reshaping tables so students can graph data and run statistical tests with confidence. https://about.dataclassroom.com/upcoming-workshops

What gets our team up in the mornings! #DataScience #TeachingStats #DataLiteracy

Data Literacy includes knowing how to format data before analysis. A Melt function helps you convert data tables in a "wide" format to a more analyzable "tidy" or "long" format. https://about.dataclassroom.com/blog/melting-your-data #DataScience #TeachingStats #DataLiteracy

SOON: In this hands-on DataClassroom webinar, you’ll use three powerful “tidy data” tools: Melt, Count, and Uncount. Learn a workflow for reshaping tables so students can graph data and run statistical tests with confidence. March 10 at 4:15PM ET https://about.dataclassroom.com/upcoming-workshops

Glad to hear it! #DataScience #TeachingStats #DataLiteracy

Data Science and Data Literacy - what do they mean? Important terms for our students - whether they are going to be scientists or just well-informed citizens. Our take: https://about.dataclassroom.com/blog/data-science-vs-data-literacy #DataScience #DataLiteracy @ASA_SciPol @dsforeveryone

In this Digital Data Nugget, students answer the scientific question: How does the boldness of bluegill affect their survival and growth? Is there a tradeoff in bold and shy behaviors? https://about.dataclassroom.com/ready-to-teach/dangerously-bold

Impressive amount of improvement! #DataScience #TeachingStats #DataLiteracy

Ease of use helps both data literacy and the learning process. That energy that once went into getting that visualization made can now be freed up to actually think about the meaning of the exercise! https://about.dataclassroom.com/blog/quick-and-easy-graphing

In this activity, students easily make a graph and spend their time thinking about which is the better measure of central tendency to describe the salary of an NBA player: mean or median? https://about.dataclassroom.com/ready-to-teach/2019/10/23/this-activity-is-a-slam-dunk

OK that's pretty impressive...well done! #DataScience #TeachingStats #DataLiteracy

Webinar tonight: Making Sense of Messy Data: A Step-by-Step Guide Working with a dataset that looks promising but don’t know where to start? Dr. Nigel Standish shows how to clean, visualize, and explore new data. https://about.dataclassroom.com/upcoming-workshops 7:00PM - 7:45PM Feb 12

Do your students struggle to get to grips with R? DataClassroom can assist you by visualizing and analyzing your data with our intuitive GUI. And then it can nice, well-annotated code to do the same things in R! https://about.dataclassroom.com/blog/selecting-a-statistical-test

In this activity students consider a scenario in which aqueous acetic acid (CH3COOH) is combined with sodium bicarbonate (NaHCO3) in a beaker to yield gaseous carbon dioxide, liquid water, and dissolved sodium acetate (NaCH3COO). https://about.dataclassroom.com/ready-to-teach/limiting-reactant

We can help with migrating an existing course to use DataClassroom. Just ask! #DataScience #TeachingStats #DataLiteracy

Webinar next week: Making Sense of Messy Data: A Step-by-Step Guide Working with a dataset that looks promising but don’t know where to start? Dr. Nigel Standish shows how to clean, visualize, and explore new data. https://about.dataclassroom.com/upcoming-workshops 7:00PM - 7:45PM Feb 12

Tidy Data is typically not the intuitive way for students to initially collect and enter data, but fortunately it can often be simple to convert. Check out the blog post below to brush up on the process. https://about.dataclassroom.com/blog/keep-your-data-tidy

In this Digital Data Nugget, students answer the scientific question: How does the theory of island biogeography help explain the distribution of wildlife in the Cleveland Metroparks? https://about.dataclassroom.com/ready-to-teach/city-parks-sea-of-cement

Let's get everything we can from those limited time and energy budgets! #DataScience #TeachingStats #DataLiteracy

There’s something great about a "new to you" dataset. No agenda, no set-in-stone storyline for the data. It's fun to approach a new dataset, wondering what questions are waiting to be asked and answered, and what those answers may hold. https://about.dataclassroom.com/blog/raw-dataset-collection

Using camera trap data in the Peruvian Amazon to examine mammal diversity in an Indigenous conservation area. What are the trends in mammal diversity at the different mineral licks? https://about.dataclassroom.com/ready-to-teach/snapshot-of-biodiversity

Excel is great for some things. But for learning stats and graphing, students get a much better experience with DataClassroom. Its feature set supports them to college and beyond. https://about.dataclassroom.com/blog/excel-in-the-classroom-go-one-better #DataScience #TeachingStats #DataLiteracy

“line graph” and “line of best fit” (or regression line) are sometimes mistakenly used by students in an interchangeable way. https://about.dataclassroom.com/blog/line-vs-best-fit Being clear as you define these very different graph types will help them to understand what the data are saying.

In this Digital Data Nugget, students answer the scientific question: Do woodlice have a preference for the dark soil or the light leaves, or neither? https://about.dataclassroom.com/ready-to-teach/woodlouse

What we're here for: improving the study experience for teachers and students! #DataScience #TeachingStats #DataLiteracy

Three ways data visualization is imperative for analysis: discover the whole story by excluding data, use graphs to steer toward the right questions, and clarify the story by altering the look. https://about.dataclassroom.com/blog/data-visualization

Webinar tonight - Nail the IA and Power the EE: DataClassroom for IB Physics, Biology, Chemistry How DataClassroom streamlines the full IB workflow for IA and EE investigations in Biology, Chemistry, and Physics https://about.dataclassroom.com/upcoming-workshops 4:15 PM - 5:00 PM ET, January 13.

Easy adoption of a new tool is vital - get to work and see those results right away! #DataScience #TeachingStats #DataLiteracy

Our heroes! Find out about how some scientists are saving lives by analyzing data. There are so many people using healthcare, even slightly better decisions can have a valuable impact. Read on: https://about.dataclassroom.com/blog/saving-lives-with-data #DataScience #TeachingStats #DataLiteracy

Webinar - Nail the IA and Power the EE: DataClassroom for IB Physics, Biology, Chemistry How DataClassroom streamlines the full IB workflow for IA and EE investigations in Biology, Chemistry, and Physics. https://about.dataclassroom.com/upcoming-workshops 4:15 PM - 5:00 PM ET, January 13.

Great to see the DataClassroom U tool so well-received at colleges and universities. https://u.dataclassroom.com https://userguide.dataclassroom.com/docs/dataclassroom-u #DataScience #TeachingStats #DataLiteracy

Some tips on how to get the graph you want, and (hopefully!) useful insights on data formatting including the evergreen topic of Tidy Data. Read more: https://about.dataclassroom.com/blog/multiple-line-graphs #DataScience #TeachingStats #DataLiteracy

We're enjoying seeing students liking using our tools and getting more out of their studies! #DataScience #TeachingStats #DataLiteracy

Our Simulator includes a really great way to play with and develop an intuitive understanding of what an R-squared (r2) value represents. https://about.dataclassroom.com/blog/playing-with-r-squared #DataScience #TeachingStats #DataLiteracy

One of the places that scientists look for answers is the past. They look to geological data for insight into how past temperature changes and extinction rates have been correlated https://about.dataclassroom.com/ready-to-teach/what-is-the-relationship-between-temperature-change-and-mass-extinction

Great feedback from a first-time user of DataClassroom U! https://u.dataclassroom.com/ #DataScience #TeachingStats #DataLiteracy

"All I Want for Christmas is You" by Mariah Carey's has completed the longest trip to the top of the charts, but in which country is it the most popular? https://about.dataclassroom.com/ready-to-teach/all-i-want-for-christmas

Looking for examples of different kinds of regression lines? We’ve got a collection to cover them all. https://about.dataclassroom.com/blog/regression-line-collection

This is why we do what we do! #DataScience #TeachingStats #DataLiteracy