Global Lightcast Smart Dataset Client - usage
The goal of this project is to propose a Python Client, easy to use, ready for everyone to access and use in few seconds the Global Lightcast Smart Dataset
The client covers different needs and question:
UK Occupation Insights (contents, trends and projection by occupation and area in UK)
Global Occupation Insights (contents, trends and projection by occupation and area, globallu)
Install
To install or install/upgrade the package it’s best to use pip: pip install -U lightcast-smart-dataset
How it works
You can use the client in two ways: - Command line - Python code
This module is using [docopt](http://docopt.org/) to parse command line arguments.
It proposes different methods:
Get the occupation insights for an occupation in a area of UK
lightcast-smart-dataset uk occupation-insight soc –username=**** –password=**** –occupation=”Programmers and software development professionals” –area=”Camden and City of London”
lightcast-smart-dataset uk occupation-insight occupation –username=***** –password=**** –occupation=”Programmers and software development professionals” –area=”Camden and City of London”
Get the occupation insights for software developers in Milan, Italy
lightcast-smart-dataset global occupation-insight occupation –username=***** –password=**** –occupation=”Business Development / Sales Manager” –area=”Milan (ITA)” –occupation-level=3 –area-level=2
Get a taxonomy
lightcast-smart-dataset taxonomy soc4 –username=**** –password=****
Results
The command line interface will create different Excel file with different sheets:
the current 12 months of unique job postings vs the last 12 months of unique job postings
the top 10 common skills, top 10 specialized skills in the area refered to the last 12 months for the requested occupation
the top 10 job tiles in the area refered to the last 12 months for the requested occupation
the top 10 employers in the area refered to the last 12 months for the requested occupation (only employers, no staffic company)