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This document provides a handout for students participating in a scavenger hunt activity using the Snapshot Wisconsin Data Dashboard. It focuses on the study of white-tailed deer detection rates and activity patterns in Wisconsin, encouraging students to analyze data, map presence, and interpret ecological landscapes and animal activity.
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How to fill out data dashboard scavenger hunt

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How to fill out data dashboard scavenger hunt

01
Identify the key metrics and data sources needed for the dashboard.
02
Design a clear layout for the dashboard that highlights important information.
03
Gather the required data from various sources, such as databases or APIs.
04
Input the data into the dashboard using the appropriate software tools.
05
Ensure that filters and visualizations are set up to allow users to interact with the data.
06
Test the dashboard to verify that all data is displayed correctly and updates in real-time.
07
Provide instructions or training for users on how to navigate and utilize the dashboard effectively.

Who needs data dashboard scavenger hunt?

01
Businesses looking to track performance metrics.
02
Data analysts who need to visualize complex datasets.
03
Marketing teams monitoring campaign success.
04
Operations managers aiming to improve efficiency.
05
Executives requiring insights for strategic decision-making.
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The data dashboard scavenger hunt is an interactive activity where participants search for specific data points or information within a data dashboard, promoting engagement and familiarity with data analysis tools.
Participants or organizations that utilize data dashboards for reporting or analysis purposes may be required to file a data dashboard scavenger hunt as part of their compliance or data management processes.
To fill out the data dashboard scavenger hunt, participants must identify the required data points within the dashboard, document their findings according to the provided instructions, and submit their responses as specified.
The purpose of the data dashboard scavenger hunt is to enhance participants' understanding of data visualization, improve data literacy, and encourage the effective use of data dashboards in decision-making.
Participants must report specific metrics, data points, and visualizations discovered within the data dashboard, as well as any insights derived from the analysis of that data.
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