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Single-Day Temperature and Humidity Sensor Data
Data Science and Analytics
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About
Represents a short-term logging of environmental conditions, specifically temperature and humidity measurements. It originated from a technical experiment focused on developing a system for data generation and analysis, inspired by the data processing needs of larger prototypes. The data is useful for studying sensor reliability, time-series analysis on basic IoT metrics, and practicing data cleaning techniques due to the inclusion of intentionally faulty records.
Columns
The data contains four primary columns tracking environmental measurements and their temporal attributes:
- Date: The date of the recording (in the format 14Mar19, etc.).
- Time: The precise time stamp of the measurement.
- Temperature: The temperature value recorded by the DHT11 sensor (e.g., T=22.0). There are 25 unique temperature measurements recorded.
- Humidity: The humidity percentage recorded by the DHT11 sensor (e.g., H=21.0). Note that approximately 5% of records are missing humidity values.
Distribution
The data is distributed in a CSV file format, named
log_temp.csv. The file size is very small, approximately 10.52 kB. It consists of 4 columns, with a valid record count of 335 rows for most fields. The collection period spans approximately one day, starting in March 2019, though summaries indicate measurements crossing into adjacent days.Usage
This dataset is ideally suited for:
- Developing scripts for handling sensor data acquisition and parsing.
- Teaching students about the integration of hardware (Raspberry Pi, DHT11) and software (Python).
- Performing time-series analysis on basic environmental variables.
- Testing data cleaning algorithms, particularly since the data includes deliberate errors and missing values.
Coverage
The coverage is restricted to the environmental conditions at the location where the Raspberry Pi prototype was set up. The temporal scope is limited to a short duration, capturing one day of continuous logging. The records primarily reflect dates in March 2019 and October 2019, depending on the sample set examined. There is no geographic or demographic scope associated with this sensor data.
License
CC0: Public Domain
Who Can Use It
- Electronics Hobbyists: To see how simple IoT devices generate usable data streams.
- Students and Educators: For practical exercises in data science and computer engineering laboratories.
- Data Quality Analysts: To study the impact and management of deliberately introduced data errors in sensor logs.
- Software Developers: To build models or visualizations based on small-scale, real-world sensor outputs.
Dataset Name Suggestions
- Raspberry Pi DHT11 Environmental Log
- Single-Day Temperature and Humidity Sensor Data
- IoT Prototype Data Log
- Raw DHT11 Sensor Measurements
Attributes
Original Data Source: Single-Day Temperature and Humidity Sensor Data
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