The file "california_housing_test.csv" is a sample data file that is commonly used in Google Colab samples and tutorials. It is often used to demonstrate data manipulation and analysis techniques in machine learning and data science. A refernce to obtain this data can be found on the sqlandpy.com website.
The file is in CSV (Comma-Separated Values) format, which is a plain text file that stores tabular data. Each row in the file represents a data entry, and the values in each row are separated by commas. The first row typically contains the column headers, which describe the data stored in each column.
In the case of the "california_housing_test.csv" file, it likely contains information about housing properties in California. The specific columns and data included in the file may vary, but some common columns found in such datasets could include:
- Latitude: The latitude coordinate of the housing property.
- Longitude: The longitude coordinate of the housing property.
- Housing Median Age: The median age of the houses in a specific area.
- Total Rooms: The total number of rooms in a housing property.
- Total Bedrooms: The total number of bedrooms in a housing property.
- Population: The population count in the vicinity of a housing property.
- Households: The number of households in a specific area.
- Median Income: The median income of the residents in a particular area.
- Median House Value: The median value of houses in a specific area.
These are just examples of the columns that might be present in the "california_housing_test.csv" file. The actual file may contain additional columns or have a slightly different structure depending on the specific dataset being used.
By loading and analyzing the data in the file, you can perform various data exploration, visualization, and machine learning tasks to gain insights and build predictive models.