Under select Sex, Total sex. Under select Observations, Persons Employed in Labour Force. the periods. Select all Time At the bottom right of the screen, change to Table on screen csv file. Read this csv file into iNZight. You will need to remove unnecessary information from the csv first and rename the variables so that only the first row of the csv contains variable names. How to produce Time Series graph, Decomposition graph and Seasonal plot in iNZight? After you have imported your Time Series data click and then Series…” “Advanced” “Time The following command window will appear: Click if your dataset is or Additive Multiplicative. Then select the option to produce the graph, which includes the trend line. Time Series Plot Then decompose the dataset using the option. This will produce the Total” graph. Decompose “Decomposition Then select the option to produce the Seasonal plot and Multiplicative/Additive Seasonal Effects. Seasonplot How do you format your time variable so iNZight recognises it? INZight assumes that datasets are quarterly when producing a time series. If your time variable is not in the format the program recognises or if you have not included a quarter column, then you can supply the time structure-information through the module's command window. 1. and then press Provide Time Information Create. The following pop-up box will appear: 2. In enter the year in which the series started Start Date 3. In enter the number of seasons in a year (e.g. 52 for weekly data) Frequency 4. In enter the number of the season at which the series started (e.g. 3 for 3rd week of the year) Season Number Reinterpret the above if your data runs over weeks not years and the seasons are days of the week, or your data concerns days and hours in the day.
Under Sex, select Total sex. Under Observations, select Persons Employed in Labour Force. Select all the Time periods. At the bottom right of the screen, change Table on screen to csv file. Read this csv file into iNZight. You will need to remove unnecessary information from the csv first and rename the variables so that only the first row of the csv contains variable names. How to produce Time Series graph, Decomposition graph and Seasonal plot in iNZight? After you have imported your Time Series data click “Advanced” and then “Time Series…” The following command window will appear: Click if your dataset is Additive or Multiplicative. Then select the Time Series Plot option to produce the graph, which includes the trend line. Then decompose the dataset using the Decompose option. This will produce the “Decomposition Total” graph. Then select the Seasonplot option to produce the Seasonal plot and Multiplicative/Additive Seasonal Effects. How do you format your time variable so iNZight recognises it? INZight assumes that datasets are quarterly when producing a time series. If your time variable is not in the format the program recognises or if you have not included a quarter column, then you can supply the time structure-information through the module's command window. 1. Provide Time Information and then press Create. The following pop-up box will appear: 2. In Start Date enter the year in which the series started 3. In Frequency enter the number of seasons in a year (e.g. 52 for weekly data) 4. In Season Number enter the number of the season at which the series started (e.g. 3 for 3rd week of the year) Reinterpret the above if your data runs over weeks not years and the seasons are days of the week, or your data concerns days and hours in the day.
Time-Series-Resource-for-NZQA.docx