Commercial Inland Fishermen Dataset

Tables

• Commercial Inland Fishermen by YearTSV

  This table contains data about commercial inland fishermen. The data is sourced from the Luke website of Finland (ISO country code 'fi'). It includes information such as the extraction date, row number, code, and label. The table can be utilized for various data analytics purposes, such as analyzing trends in commercial inland fishing over time, identifying the distribution of fishermen based on their codes and labels, or comparing the number of fishermen in different regions or years.

• Commercial Inland Fishermen Data in Finland from LukeTSV

  This table contains information about commercial inland fishermen in Finland. The data is sourced from the web site of Luke (Natural Resources Institute Finland). It provides details such as the extraction date, row number, the region of the elycentre, the year, and the number of commercial inland fishermen. This data can be utilized in various data analytics scenarios, such as analyzing the trend in the number of commercial inland fishermen over the years, comparing the number of fishermen across different regions, or identifying any seasonal patterns in the data.

• Commercial Inland Fishermen for Ely CentreTSV

  This table contains data from the commercial inland fishermen dimension at the Ely Centre. The data is sourced from the website of Luke, which originates from Finland, identified by the ISO country code 'FI'. The table includes information such as the extraction date, row number, code, and label. The data in this table can be utilized for various data analytics purposes, such as understanding trends in the commercial inland fishing industry, analyzing the distribution of fishermen across different regions, identifying changes in fishing codes, and analyzing the labels associated with the fishermen.

• Version History of Commercial Inland Fishermen - Ely Centre (Data Source: Luke, Country: Finland)TSV

  This table contains the version history of the rows from the 'commercial inland fishermen dim elycentre' table. Each row in this table represents a version of the base table row extracted from the data source. The 'commercial inland fishermen dim elycentre history' table has two additional columns compared to its base table: '_start_date' and '_end_date'. The '_start_date' column indicates the date when the row was extracted from the data source, while the '_end_date' column indicates the date when a new version of the row was extracted. If the '_end_date' value is null, it means that the row is the most recent version. The data in this table can be utilized in various data analytics scenarios. For example, it can be used to track changes in the 'code' and 'label' columns over time or...

• Version History of Commercial Inland Fishermen Facts from Luke: FinlandTSV

  This table contains the version history of rows extracted from the 'commercial inland fishermen fact' table. It includes the '_start_date' and '_end_date' columns indicating the dates when the rows were extracted from the data source. The table is sourced from the 'Luke' website, which originates from Finland (ISO country code 'fi'). The data in this table can be used for various data analytics purposes. For example, it can be utilized to track the changes over time in the number of commercial inland fishermen, analyze the yearly trends, or identify any patterns or anomalies in the data. The historical records in this table provide valuable insights into the evolution of the commercial inland fishing industry in Finland.

• Version History of Commercial Inland Fishermen Year Data from Luke - FinlandTSV

  This table contains the version history of the rows in the 'commercial inland fishermen' table, which is related to the 'dim year' dimension. It tracks the changes made to the rows over time by storing the start and end dates for each version. The data in this table is sourced from the website of 'Luke', which originates from the country with the ISO country code 'fi'. The table can be utilized in data analytics to analyze trends and patterns in the commercial inland fishing industry over different years. It allows for the comparison of data between different versions of the rows, providing insights into changes and developments over time.