/*To perform data analysis and visualization for received sensor data on an Arduino, you would typically use a microcontroller with more computational power, such as the Arduino Mega or a dedicated microcontroller like the ESP32. These microcontrollers have more memory and processing capabilities than the Arduino Uno, making them better suited for data analysis and visualization tasks.
However, if you have a relatively simple analysis and visualization requirement, you can still perform basic operations on the Arduino Uno. Below is a basic example code that reads sensor data, calculates some basic statistics, and then prints the results to the Serial Monitor:
In this code:
We define sensorPin as the analog pin connected to the sensor.
In the setup() function, we initialize serial communication with a baud rate of 9600.
In the loop() function:
We continuously read sensor data using analogRead(sensorPin).
We calculate basic statistics such as minimum, maximum, and average values of the sensor data.
We print the calculated statistics to the Serial Monitor.
We wait for 1 second before starting the next iteration.
This code provides a simple demonstration of how you can perform basic analysis on sensor data directly on the Arduino Uno. For more advanced analysis and visualization tasks, you would typically use a more powerful microcontroller or transfer the sensor data to a computer for processing using serial communication.*/
const int sensorPin = A0; // Analog pin connected to the sensor
void setup() {
Serial.begin(9600); // Initialize serial communication
}
void loop() {
// Read sensor data
int sensorValue = analogRead(sensorPin);
// Perform basic statistics
int minValue = sensorValue;
int maxValue = sensorValue;
int sum = sensorValue;
int count = 1;
while (Serial.available() == 0) {
// Read more sensor data
sensorValue = analogRead(sensorPin);
// Update statistics
if (sensorValue < minValue) {
minValue = sensorValue;
}
if (sensorValue > maxValue) {
maxValue = sensorValue;
}
sum += sensorValue;
count++;
}
// Calculate average
float average = (float)sum / count;
// Print results to Serial Monitor
Serial.print("Min Value: ");
Serial.println(minValue);
Serial.print("Max Value: ");
Serial.println(maxValue);
Serial.print("Average Value: ");
Serial.println(average);
// Wait before starting again
delay(1000);
}