New From the Lab!
Dr. Schroer has created a new website for Principals, and other educators to analyze their data. Soon to come, a whole suite of data analysis products for you to easily transform your data into useable information that will help guide your instruction.
Click on the button below to open Vizit and the other Vizit products and Clean, Visualize, and Analyze your data!
Before using any of these products, please read the "How to..." below.
Using Vizit
Vizit helps school leaders turn raw assessment data into clear, grade-level visuals in just a few clicks.
Prepare/Clean your data file
See above for the example file as a template.
Your file should be in CSV or Excel (.xlsx) format.
Each row = one student.
Each column = Adjust the label for the column in the first row something meaningful (e.g., Grade Level, Math Scale Score, Reading/ELA Scale Score, subscores like Operations & Algebraic Thinking).
Note: The first row across the top of your data needs to be Clearly labeled for your Viz titles.
Upload and choose your settings
Select your grouping column (for example, Grade Level).
Select one or more score columns (overall scale scores and/or subscores).
Vizit calculates average scores by grade and displays them as a heatmap.
Interpret and download
Darker cells indicate relative strengths; lighter cells highlight areas for support.
Hover to see values or read the numbers in each cell.
Download the chart as a .png image and export grade-level summary tables as Excel for use in leadership meetings and data teams.
Using Vizit Over Time
Vizit Over Time helps school leaders track multi-year trends in WY-TOPP performance across ELA, Math, and Science. It creates clear, stacked-bar visualizations showing changes in proficiency over five years, by grade level, with enrollment (N) displayed for context.
Use the example file above as your template.
Your file should be in CSV or Excel (.xlsx) format.
Each row should represent one grade × one school year × one subject (no student-level data required).
Your file must include these clearly labeled columns
Column headers must be clearly labeled so the visualization titles populate correctly.
Percentages should be numeric (e.g., 45.2), not written as “45%”.
Include all years you want shown—Vizit Over Time will display them in order automatically.
After uploading your cleaned file:
Select a subject (ELA, Math, or Science).
Choose the grade levels you want displayed (e.g., Grades 3–6).
Vizit Over Time automatically groups your data by grade and year and builds:
A stacked bar chart (Basic/Below vs. Proficient/Advanced)
A summary table showing all values numerically
Enrollment N labels above each year’s bar for accurate interpretation
The chart helps answer questions like:
“Is proficiency improving over time?”
“Which grades show the biggest movement year to year?”
“Did changes in N (enrollment) impact fluctuations?”
“Where are consistent strengths or areas needing support?”
Gold (Basic & Below) shows students needing academic support.
Blue (Proficient & Advanced) represents students meeting expectations.
Larger blue segments over time indicate improvement.
N labels help you understand year-to-year variability (small cohorts = large swings).
Download the visualization as a .png file for data meetings, PLCs, or leadership presentations.
Export the summary tables as Excel files for deeper analysis, reporting, or documentation.
Pair results with your Vizit heatmaps for a complete look at:
Current grade-level strengths
Historical trends and progress over time
Talk to Vizit.ai to create your own custom visualizations