Code list function, status and general sample
Repository: https://github.com/datopian/Fedex-dataset
Files
| Name | Size |
|---|---|
| un_locode.csv | 9 Bytes |
| un_locode_function.csv | 9 Bytes |
| un_locode_status.csv | 9 Bytes |
Readme
Datopian Geopolitical Data for FedEx
This data package contains different datasets requested by FedEx from Datopian in order to build their geopolitical microservice.
The dataset contains a set of CSV files and datapackage.json file describing each one of the CSV resources.
We have tried to make each CSV in the data package equivalent to the tables in the FedEx data model – however some tables such as TRANSL_GEOL are represented in multiple tables as they require additional processing work to be transformed into the equivalent tables described in the data model.
The json/ folder contains the JSON equivalent of each of the CSV files.
Data Package
We have used the Frictionless Data Package format to describe and package the data.
The data package provides a listing of all files plus detailed metadata including column information in one simple self-conatined way.
There are pre-existing libraries and tooling for data packages available for multiple programming languages. You can learn more about data packages here: http://frictionlessdata.io/data-package/.
Table Schema
Since our datasets are tabular, we use a Table Schema to describe the data. This allows us to define metadata for data fields, various constrains on values for those fields and additional properties, which includes defining a format for missing values, specifying a primary key as well as foreign keys.
You can learn more about what a table schema is and the available tooling here: http://frictionlessdata.io/products/table-schema-tools/.