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Word 'handout' version of using iNZight
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Ordering dataData IN/OUT as per normal, then right click on the column heading to:


Filtering data  'select cases'There are several options are available here: Remember if you stuff it up you can always 'filter data'  'restore data set' 

'Levels of a categorical variable' 

'Numerical condition' Remember you select data you want to keep.


'Row number' Good for testing the robustness of time series model 

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Data display in iNZight
Drag Variable 1 and Variable 2 (usually one numerical and one categorical) Add in 'subset by' then move the slider bar to quickly flick between the different combinations of the category and subgroup (subset) Great to do when initially investigating data sets. "I wonder if..." 

remember you can always 'remove additions' to return to basic plot Code more variables adds colouring to the dot plot to show another variable. Also great to do when initially investigating data sets. "I wonder if..." Change plot appearance to reduce size of dot plot points reduces the 'stacking tilt' which we sometimes see in the dot plot. 


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Manipulate VariablesSome great options here. Explore. Remember if it all goes wrong, just reimport your data again


By default iNZight takes numerical data to be numerical, not categorical. If you have data that has categories identified numerically you can convert them to 'text'. This will be added to the data beside the numerical column (good idea to rename it)


Useful when we are modelling, Bivariate or looking at multiplicative models in time series.


‘Collapse levels' eg Qualifications: How? Another column will be added into the data set with the new groups. Useful for inference when we compare only two groups. 

‘ReName levels' Select your variable, then rename. Good if you have converted numerical to categorical and want to name groups more appropriately. 

If you want to reorganise your data set without having to use Excel.


'Combine Categorical Variables' This is when you want to combine several categories together.


Good for excellence in time series eg spending per person. Be very careful you get the variable names correctly typed. The best way is to ‘click and drag’ the variables into the ‘new variable’ box (from the 'view variables' list  not the 'data view set' 

Handy when you want to create groups from a numerical column. Lots of choice over number of intervals and the method. eg. splitting into age groups. 

Pretty obvious what this does. 

This converts a variable into a standard normal distribution version. Good for noting how many standard deviations the data may be from the mean, and what possible outliers there may be. 

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If you have manipulated your data (as above) and then want to run one of the iNZight VIT modules you must export your data, ie save it, then re upload it into the VIT. Otherwise your changes will be lost. This is straight forward to do, just remember where you saved it ready for the VIT 

iNZight Inference & BootstrappingMost of this is covered in the AS3.10 Inference pages. Analysing a sample: Box plots, and sample statistics, bootstrapping, randomisation


iNZight Bivariate data  coming soon...


iNZight Time SeriesLink to AS3.8 Time Series pages, or use the links on the images below: 



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Want to add any other ideas / suggestions on using iNZight, 