Part 2: Analysing Two Time Series using Python Pandas
In this series of videos we create a function that plots any two time series on the same graph. The time series data is read in from two excel spreadsheets. These excel spreadsheets are published by the Australian Bureau of Statistics.
The two time series we examine are the Job Vacancies Survey (JVS) and the Labour Force Survey (LFS).
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ABS Citations:
Job Vacancies Survey:
Australian Bureau of Statistics, August 2016, Job Vacancies Australia, ‘Table 1. Job Vacancies, States and Territories (‘000)’, catalogue number 6354.0, viewed February 2017.
http://www.abs.gov.au/AUSSTATS/abs@.n...
Labour Force data:
Australian Bureau of Statistics, November 2016, Labour Force, Australia, ‘Table 1. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original’, catalogue number 6202.001, viewed March 2017.
http://www.abs.gov.au/AUSSTATS/abs@.n...
Pandas Link
http://pandas.pydata.org/talks.html
http://pandas.pydata.org/pandas-docs/...
Matplotlib Citation
@Article{Hunter:2007,
Author = {Hunter, J. D.},
Title = {Matplotlib: A 2D graphics environment},
Journal = {Computing In Science \& Engineering},
Volume = {9},
Number = {3},
Pages = {90--95},
abstract = {Matplotlib is a 2D graphics package used for Python
for application development, interactive scripting, and
publication-quality image generation across user
interfaces and operating systems.},
publisher = {IEEE COMPUTER SOC},
doi = {10.1109/MCSE.2007.55},
year = 2007
}
Spyder 3 Link
https://pythonhosted.org/spyder/
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