Sensor Experiments from Bluetooth and Wi-Fi Sources
Sensor experiments become easier to start when the collection path is visible from the first workspace. Graphical Analysis lets students choose sensor data collection for Vernier devices, use Data Share for LabQuest streams, or open a saved experiment instead of rebuilding a class activity from scratch. The same chooser also keeps manual entry available when the work begins with a worksheet or an existing set of measurements.
For supported hardware, Go Direct sensors can connect through Bluetooth, while LabQuest 2 or LabQuest 3 data can arrive over Wi-Fi. This gives a lab group several practical ways to bring real measurements into an Android session, whether the class is investigating motion, temperature, force, or another changing quantity.
Manual Entry and Flexible Collection Modes
Manual Entry gives students a straightforward route into graphing when there is no sensor connected. Values can be typed through the keyboard or brought in with copy and paste, which is useful for textbook exercises, teacher-prepared tables, and measurements collected elsewhere. It also makes the app approachable for a quick demonstration before a class connects hardware.
When a sensor is available, collection can be organized around time-based, event-based, or drop-counting work. Time-based experiments expose a sampling rate and duration, while optional triggers and unit controls help match the collection setup to the question being investigated. Those choices keep the first experiment focused without hiding the flexibility needed for more involved lab activities.
Graph Workspace for Visual Data Analysis
The graph workspace turns a raw measurement into something students can inspect and discuss. Axes, grid lines, data markers, and collection controls make it easier to see how a value changes over time, while the layout leaves room to focus on a selected region or adjust the viewing range. The app can also place a table beside a graph when the lesson needs both the numbers and their visual pattern.
Analysis tools extend that first view into a fuller data conversation. Users can compare graphs, draw predictions, inspect values, apply statistics, explore tangents or integrals, and fit curves when the experiment calls for deeper interpretation. Calculated columns and annotations help connect a plotted result with the explanation a student will share in a lab report.
Saved Files, Sample Data, and Classroom Sharing
Graphical Analysis keeps practical classroom resources close to the experiment chooser. Open Saved File helps users return to an existing project, while Sample Data offers a starting point for exploring an idea before collecting new measurements. Links to the User Manual and Go Direct Sensors guidance are also visible, so connection steps and product references are easier to find when a lab session is moving quickly.
After analysis, students can add graph titles or text annotations, adjust display sizes for presentation, and export graphs or data for a report. CSV export supports follow-up work in spreadsheet software, and cloud-saved files can move between compatible classroom devices when that workflow is enabled.
