Event Counter & Frequency Tracker

00:00:00

▶ Start Session↺ Reset

×

0

−+

×

0

−+

+ Add Event

Session Statistics

Total Events

0

Events/Minute

0.00

Most Frequent

N/A

Least Frequent

N/A

📥 Export Session Data (JSON)

💡 Tip: Click the + button or press Enter to start counting. The timer automatically starts when you record your first event. Click on event names to rename them.

How to Use the Event Counter

1. Name your events by clicking on the default names
2. Click the + button to count each event occurrence
3. Use the − button to correct mistakes
4. Add more event types as needed
5. Export your data when finished

---

Features

Feature	Description
Multiple Events	Track unlimited event types simultaneously
Auto Timer	Session timer starts automatically
Live Statistics	Real-time counts, rates, and percentages
Visual Chart	See distribution across events
Data Export	Download results as JSON

---

Applications

Behavioral Research

• Animal behavior observations
• Child development studies
• User experience testing
• Classroom behavior tracking

Sports & Performance

• Counting successful vs. failed attempts
• Tracking player actions
• Recording game events
• Timing intervals

Quality Control

• Defect counting
• Process monitoring
• Inspection tallies
• Error tracking

Medical & Clinical

• Symptom tracking
• Patient behavior monitoring
• Treatment response recording
• Seizure counting

---

Statistical Metrics Calculated

The counter automatically computes:

Metric	Formula	Use
Total Events	Σ all counts	Overall activity level
Percentage	(event/total) × 100	Relative frequency
Events/Minute	total ÷ minutes	Rate of occurrence
Most/Least Frequent	max/min count	Identify patterns

---

Research Method: Event Sampling

Event sampling (or frequency recording) is a behavioral observation method where you:

1. Define events clearly - What exactly counts as the behavior?
2. Set observation period - How long will you observe?
3. Record each occurrence - Count every instance
4. Calculate rates - Determine frequency per time unit

Best Practices

Practice	Description
Operational definitions	Define exactly what constitutes each event
Mutually exclusive	Events shouldn’t overlap
Observable behaviors	Count what you can see/hear
Consistent timing	Use same duration across sessions

---

Converting Counts to Statistics

Frequency to Probability

If you observed 100 events total:

• Event A: 35 times → P(A) = 0.35 or 35%
• Event B: 65 times → P(B) = 0.65 or 65%

Rate Calculation

Events per time unit:

• Rate = Count ÷ Time
• Example: 24 events in 8 minutes = 3 events/minute

Inter-Event Interval

Average time between events:

• Interval = Time ÷ (Count - 1)
• Example: 10 events in 5 minutes → 30 seconds between events

---

Example: Classroom Observation

Tracking student behaviors during a 15-minute lesson:

Behavior	Count	Rate/min	Percentage
On-task	45	3.0	75%
Off-task	10	0.67	17%
Disruptive	5	0.33	8%
Total	60	4.0	100%

Analysis: Student was on-task 75% of observed intervals, with an average of 3 on-task behaviors per minute.

---

Keyboard Shortcuts

For faster data collection:

Key	Action
Click +	Increment counter
Click −	Decrement counter
Enter	Add new event type

---

Data Export Format

The exported JSON includes:

{
  "sessionDuration": "00:15:30",
  "events": [
    {"name": "Event A", "count": 45, "percentage": "75.0%"},
    {"name": "Event B", "count": 15, "percentage": "25.0%"}
  ],
  "summary": {
    "totalEvents": 60,
    "eventsPerMinute": "3.87",
    "mostFrequent": "Event A",
    "leastFrequent": "Event B"
  }
}

---

Tips for Accurate Counting

1. Practice first - Run a trial session before real data collection
2. Use clear definitions - Know exactly what you’re counting
3. Minimize distractions - Focus on observation
4. Check inter-rater reliability - If multiple observers, ensure agreement
5. Note context - Record any unusual circumstances

---

Related Resources

• Descriptive Statistics Calculator - Analyze your data
• Probability Calculator - Calculate event probabilities
• Histogram Generator - Visualize distributions
• Introduction to Statistics - Basic concepts