panels/A1_About/4_about-panel-text.md
In iNZightVIT/Lite: iNZight Lite
Getting Started
To get started, import a dataset using the File dropdown from the tabs above, and then choose either
-
Import Dataset if you have your own data to explore, or
-
Dataset Examples if you're just looking to explore the software using an example dataset.
Not sure what to do? We have made a getting started video and there is help available within most modules. Just look for the green "help" button, usually located in the bottom left hand corner of the screen.
About
iNZight is a simple data analysis system which was initially designed for high school students to help them explore data quickly and easily. It still serves this function but other demands have seen extensive additions to its capabilities. For example, it now provides very flexible multivariate visualisation capabilities and supports 3D graphics, maps, time series, and multivariable regression analysis.
iNZight Lite is an online version of the software accessibly from any modern web browser, thus making it suitable to a wider range of users including non-Windows users who cannot install the desktop software. With Lite, you can import your own dataset or explore one of the many example datasets. You can then visualize and conduct statistical analysis on the data, and even modify the data, to explore hidden secrets behind the data.
Troubleshooting
Some users are experiencing errors with Lite. You might like to install Lite locally to avoid these issues. Instructions can be found at the iNZight install page (Click on 'Mac' and then 'Install Lite locally').
If you want to provide feedback please fill in the contact form.
The iNZight Project
The project is led by Professor Chris Wild and has been primarily supported by the Department of Statistics at the University of Auckland, with additional support from Statistics New Zealand and the NZ Ministry of Education via Census at School.
If you are an expert programmer or statistician, you can contribute to the project by sending us feedback about our R source code.
iNZightVIT/Lite documentation built on April 13, 2024, 8:03 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Getting Started
To get started, import a dataset using the File dropdown from the tabs above, and then choose either
-
Import Dataset if you have your own data to explore, or
-
Dataset Examples if you're just looking to explore the software using an example dataset.
Not sure what to do? We have made a getting started video and there is help available within most modules. Just look for the green "help" button, usually located in the bottom left hand corner of the screen.
About
iNZight is a simple data analysis system which was initially designed for high school students to help them explore data quickly and easily. It still serves this function but other demands have seen extensive additions to its capabilities. For example, it now provides very flexible multivariate visualisation capabilities and supports 3D graphics, maps, time series, and multivariable regression analysis.
iNZight Lite is an online version of the software accessibly from any modern web browser, thus making it suitable to a wider range of users including non-Windows users who cannot install the desktop software. With Lite, you can import your own dataset or explore one of the many example datasets. You can then visualize and conduct statistical analysis on the data, and even modify the data, to explore hidden secrets behind the data.
Troubleshooting
Some users are experiencing errors with Lite. You might like to install Lite locally to avoid these issues. Instructions can be found at the iNZight install page (Click on 'Mac' and then 'Install Lite locally').
If you want to provide feedback please fill in the contact form.
The iNZight Project
The project is led by Professor Chris Wild and has been primarily supported by the Department of Statistics at the University of Auckland, with additional support from Statistics New Zealand and the NZ Ministry of Education via Census at School.
If you are an expert programmer or statistician, you can contribute to the project by sending us feedback about our R source code.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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