Hourly Earnings in Agricultural Production

Tables

• Historical Version of Hourly Earnings in Agricultural Production in FinlandTSV

  This table contains the version history of the base table 'hourly_earnings_in_agricultural_production__fact'. It includes the additional columns '_start_date' and '_end_date' to represent the extraction dates of each row. The data in this table originates from 'Luke' website, which is from Finland (ISO country code: FI). The table provides valuable information for data analytics, such as tracking hourly earnings in agricultural production over time. By analyzing the 'year' column, one can observe the trends and changes in earnings from year to year. Additionally, the 'hourly_earnings_in_agricultural_production' column can be used to compare earnings across different regions represented by the 'national_support_area' column. This historical data can be leveraged to gain insights into the...

• Hourly Earnings in Agricultural ProductionTSV

  This table provides hourly earnings in agricultural production data sourced from the website of Luke, which originates from Finland (ISO country code 'fi'). The table contains information such as the extraction date, row number, data, national support area, year, and hourly earnings in agricultural production. The table can be utilized in various data analytics scenarios, such as analyzing trends and changes in hourly earnings over time, comparing earnings data across different national support areas, or studying the relationship between hourly earnings and other economic factors within the agricultural sector.

• Hourly Earnings in Agricultural Production (DIM Data) from Luke - FinlandTSV

  The dataset contains information on hourly earnings in agricultural production. It is sourced from the 'Luke' website, which originates from Finland (ISO country code 'fi'). This table provides data that can be used for various data analytics tasks, such as: 1. Analyzing the trends in hourly earnings in agricultural production over time. 2. Comparing the earnings across different regions or areas within Finland. 3. Identifying the impact of various factors, such as weather conditions or crop types, on hourly earnings. 4. Conducting statistical analyses to understand the distribution and variability of earnings in agricultural production. 5. Using the data to develop forecasting models for future earnings in the agricultural sector.

• Hourly Earnings in Agricultural Production by YearTSV

  This table contains data on hourly earnings in agricultural production, categorized by year. The data is sourced from the web site of Luke, an organization from Finland (ISO country code: fi). The table includes information such as the extract date, row number, code, and label. By analyzing this data, one could obtain insights into the trends and changes in hourly earnings in the agricultural production sector over time in Finland.

• Version History of Hourly Earnings in Agricultural Production by Year (Luke - Finland)TSV

  This table contains the version history of the 'hourly_earnings_in_agricultural_production__dim_year' table. It includes information about the start and end dates of each row's version. The data in this table can be utilized in data analytics to track changes over time in hourly earnings in agricultural production. By analyzing the start and end dates, trends and fluctuations in earnings can be identified. For example, analysts can examine how earnings have evolved year by year or compare different time periods to understand the impact of various factors on agricultural wages. The data in this table is sourced from the web site of 'Luke' which originates from Finland (ISO country code 'fi').

• Version History of Hourly Earnings in Agricultural Production Data sourced from Luke (Finland)TSV

  This table contains the version history of the base table 'hourly_earnings_in_agricultural_production__dim_data'. Each row in this table represents a version of a row in the base table and includes additional information about the start and end dates of the version. The column '_start_date' contains the date when the row was extracted from the data source, while the column '_end_date' contains the date when a new version of the row was extracted. If the value of the column '_end_date' is null, it means that the row is the most recent version. The table is sourced from the web site of 'Luke', which originates from Finland (ISO country code: 'fi'). In data analytics, this table can be used to track the historical changes in hourly earnings in agricultural production. By analyzing the...