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Exploring iNZight: Data Analysis Software Workshop

Join the workshop to gain confidence in using iNZight, learn where to find resources, understand when to use it, and become a proficient iNZight user. Discover the basics of downloading, installing, data handling, graphs, and statistical inference. Dive into hands-on learning and exploration of data through a user-friendly interface. Workshop presenter Jim Hogan will guide you through the process step by step. Don't miss this opportunity to enhance your data analysis skills!

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Exploring iNZight: Data Analysis Software Workshop

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  1. iNZight Insightsin the beginning… Whangarei PD Day May 6th 2013 Jim Hogan

  2. My Goals Today • Have you gain confidence to explore this software • Make you aware of where to find resources • Help you appreciate when to use iNZight • Become an iNZightuser • Have fun being a learner again. What are your goals?

  3. Plan of Nec Slides • Downloading and installing on Mac or PC • Basic history, ownership and use • Starting it up • Data and variables • Graphs (dots, bars and boxes) • PPDAC and Inference • Discussion of when to use (and when not to use) • PPDAC and “on the second day…”

  4. Downloading and Installing • Download http://www.stat.auckland.ac.nz/~wild/iNZight/, unzip and notice where you put it all. • To begin find the “START_INZIGHT.command” • Double click the ICON and way we go • Investigate this website!

  5. iNZight History… • iNZighthas been primarily supported by The University of Auckland, Department of Statistics • with additional support from Statistics New Zealand and the NZ Ministry of Education via Census at School NZwebsite • Useless info…it is written in R, which is a subset of S a global used computer language for statistics. oh…

  6. …designed for our schools • Initially designed for New Zealand high schools, iNZight now extends to multivariable graphics, time series and linear models. • A simple data analysis system which encourages exploring what data is saying without the distractions of driving complex software

  7. Getting data • I suggest that you import .csv files • After • “conditioning” the data in Excel • Taking a sample • Getting rid of nonsense • Tidying and ordering • And so on. • Develop a system that works for you… .csv

  8. Making a .csv file • In Excel select the file type you want.

  9. Data and Variables • Categorical data are things like words. One does not add words. Telephone numbers are categorical data. The sum of two telephone numbers does not mean a lot. • Numerical data can be added and multiplied. Numerical data can be converted to categorical data. Why might we do this?

  10. Dot Plots and Boxes • Rather easy to make • Drag some numerical data into the variable.

  11. Bar graph • Drag some categorical data into the variable

  12. PPDAC • Ask a sensible question • “I wonder if the weight of female trout in the Lake Taupo 1993 are heavier than the males?” • Why would I want to know this? Hmmmm…

  13. ppdAc • We see…

  14. ppdaC • And by any measure, especially the eyes, the answer is …

  15. Conclusion • The female trout in the 1993 Lake Taupo are not heavier than the males. • The answer is not NO • The answer is not that there is no difference • The answer is not the males are heavier • ATFQ • The answer is as above.

  16. A better question? • I wonder if the trout caught by FF are bigger than the trout caught by any other method. • Reason…I want to catch a big trout • Task, you answer this.

  17. When to use iNZight • Discussion time…

  18. When to use iNZight… • My view is • not before students are ready • that means • when they tell you how to • draw a dot plot and bar graph • draw a box and whisker and tell you everything about it • not before and can describe distributions using their eyes. REASON ----------------

  19. Reason • ReasonThis is very powerful software and they will take the short cut and use it before understanding what it all means. So if you want to create a rod for your own back then show them how to use it. • Year 7/8 – never • Year 9/10 – only when they are multiplicative, know fractions and can explain that 25% of the data is in each of box parts. What min, LQ, med, UQ, IQR, max all mean. • Year 11 – Use deeply. Use any time as a teaching tool for visual stuff.

  20. Let’s play and discover more questions • Hands on, get dirty! • Are there two species of dolphins in NZ waters? • What is your best approach to catching a big trout? • Time series?

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