Number of Pigs on 1/4 in Finland

Tables

• Number of Pigs on 1/4 - Dim Year History from Luke (Finland)TSV

  This table contains the version history of the 'Number of Pigs on 1/4' data, sourced from the web site of Luke in Finland. It serves as a historical record of the base table 'Number of Pigs on 1/4'. The table includes the '_start_date' column indicating the extraction date, the '_end_date' column representing the date of the subsequent version, and additional columns specific to the base table such as '_row_number', 'code', and 'label'. The '_end_date' column contains null values for the most recent rows. The data in this table can be utilized in various data analytics scenarios, such as analyzing trends and changes in the number of pigs over time, identifying outliers or anomalies, and comparing the distribution of pigs across different categories, indicated by the 'code' and 'label'...

• Number of Pigs on 1/4 at DIM Ely CentreTSV

  This table provides information about the number of pigs on 1/4 dim Ely Centre in Finland. The data is sourced from the website of Luke, which is the Natural Resources Institute Finland. The table contains information such as the extraction date, row number, code, and label. The table can be utilized in data analytics to analyze the trends in the number of pigs over time, compare the number of pigs across different regions, or study the impact of various factors on pig population.

• Number of Pigs on 1/4 by Year (Luke, Finland)TSV

  This database table contains the data about the number of pigs on 1.4 each year. The data is sourced from the web site of Luke, which originates from Finland (ISO country code 'FI'). The table includes columns such as '_extract_date', '_row_number', 'code', and 'label'. The data in this table can be utilized for various data analytics purposes, such as understanding the trends and changes in pig population over time, analyzing the distribution of pig counts based on different codes, and examining the labels associated with each pig count entry.

• Number of Pigs on 1/4-Dim Variable from Luke in FinlandTSV

  This table provides information on the number of pigs on 1/4 in a particular dimension variable. The data in this table is sourced from the website of Luke, the Natural Resources Institute Finland. Luke is a research organization based in Finland (ISO country code: FI). The table contains columns such as '_extract_date', '_row_number', 'code', and 'label' which can be used in data analytics for various purposes. For example, the '_extract_date' column could be used to analyze the trend of pig numbers over time, while the 'code' and 'label' columns could be utilized to categorize or classify the dimension variable related to the number of pigs. This table serves as a valuable resource for gaining insights into the pig population within the specified dimension variable.

• Version History of Number of Pigs on 1/4 - Dim Variable (from Luke, Finland)TSV

  This table contains the version history of the 'number_of_pigs_on_1_4__dim_variable' table, sourced from the web site of Luke, originating from the country with ISO country code 'FI'. It includes the '_start_date' and '_end_date' columns, which indicate the extraction dates of the row versions. In addition, it includes the '_row_number', 'code', and 'label' columns. This table provides valuable data for data analytics, allowing for analysis of changes in the number of pigs on 1.4 dimension variables over time. By examining the variations in the 'code' and 'label' values across different versions, trends and patterns can be identified and insights gained regarding the historical development of pig numbers on specific 1.4 dimension variables.

• Version History of Number of Pigs on 1/4 Ely Centre (Luke, Finland)TSV

  This table contains the version history of the 'number_of_pigs_on_1_4__dim_ely_centre' table sourced from the 'Luke' website. The data originates from Finland (ISO country code 'fi'). The table includes rows with additional columns '_start_date' and '_end_date' which represent the extraction dates from the data source. Each row represents a specific version of the base table with columns '_row_number', 'code', and 'label'. The '_row_number' column indicates the unique identifier for each row version. By analyzing this table, data analysts can track changes in the number of pigs on 1/4 dim ely centres over time, identify the most recent version of the data, and observe any updates or modifications that have occurred. The table provides valuable insights for trend analysis, comparing data...