Once you have applied your search terms and filters, you will be presented with a list of all available data series that match your criteria. A data series is a collection of related data points from a single data source that are viewable as a single row within a table of data. They represent the change over time of a specific indicator. Data series are presented in table format where each row represents a single data series. The Trade domain data selection table includes the following columns: Reporting country: The country that reports the trade flow. Mostly this is the source country but it can also be the destination. Source: The source country of the trade flow; where the product has been originated. Destination: The destination country of the trade flow; where the product is destined to. Product name: The commodity or service classified using a modified FEWS NET version of the UN CPC v2 codes. Flow type: The type of flow designation (i.e., Import, Export or Transit). Trade type: The trade type designation as either Informal or Formal. First: Period date for the first collection/reporting period in the data series. Last: Period date for the last collection/reporting period in the data series. Count: The number of data points in the data series. Info: Hover over the information icon in a row to see more details including the data series ID and data source document.
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To visualize and export data, you will need to select one or more data series by checking the box at the beginning of the row containing that series. |
In addition to selecting data series, you can interact with the data selection table in the following ways: Selected data series can be viewed in the Selected tab. You can clear your selections using the Clear Selected button. By default the series are ordered alphabetically by country. You can click on the header of any column to sort by that column instead of by country. Selecting one or more data series creates a savable dataset. For more information on creating and saving datasets, see Create and Save Datasets.
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