Wildflower Bloom Watch

Introducing our new Interactive Data Visualization Tool designed specifically for educators involved in classroom research. This tool enables you to collect, analyze, and visualize student data in real-time, enhancing your ability to make informed decisions and improve learning outcomes.

Posted on Nov 11, 2024

Wildflower Bloom Watch

Introducing our new Interactive Data Visualization Tool designed specifically for educators involved in classroom research. This tool enables you to collect, analyze, and visualize student data in real-time, enhancing your ability to make informed decisions and improve learning outcomes.

Overview

What the Tool Does

This tool allows users to visualize the bloom times of wildflowers they have tracked. By using RStudio and a simple R script, users can transform their collected data into easy to read plots, bringing environmental data science to life in the classroom.

Who the Tool is For

This tool is ideal for teachers engaged in research projects, data-driven instruction, or those collaborating with researchers through the TRKE program.

Problem the Tool Solves

Turning raw data into visual insights can be tricky. This tool streamlines that process, helping teachers engage students with meaningful data visualizations while introducing fundamental coding concepts using RStudio.

Key Features

  • No prior coding experience needed. Pre-written scripts and an Excel template are provided.
  • Transforms collected wildflower bloom data into visual plots, making data analysis easily accessible.
  • Hands-on introduction to coding and data science.
  • Supports analyzing & interpreting data and crosscutting concepts of patterns under NGSS Dimensions

How It Works

  1. Install R and RStudio
  2. Prepare your files using provided script and Excel template
  3. Open and run the script in RStudio
  4. Install & load packages in RStudio
  5. Create your bloom plot

Application in Classrooms

  • Phenology Projects
  • Citizen Science Data Plotting
  • Data Science & Coding
  • NGSS-Aligned Investigations
  • Seasonal & Climate Studies