dataset contains variables and daily values pertaining to measurements from a six-in-line furnace

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

The dataset contains variables and daily values pertaining to measurements from a six-in-line furnace, with the 1st column (Date) containing the date and the 41st column (BlowbackEvents) containing the type of the largest blowback event that was experienced the following day:

· NoBlowbackEvent – no blowback

· BlowbackEvent0 – small blowback, pressure exceeded 0 Pa

· BlowbackEvent20 – medium sized blowback, pressure exceeded 20 Pa

· BlowbackEvent50 – large blowback, pressure exceeded 50 Pa

The ultimate objective of your analysis is to predict the values of column 41, BlowbackEvents, and provide insight into the variables (and values of these variables) most likely causing BlowbackEvents.

Please submit the below:

1. Statistica report file

· Explore the data using the techniques you’ve been exposed to – data quality (missing data, zero data, etc.), descriptive statistics, normality, non-parametric statistics, frequency tables, correlation analysis, t-tests, ANOVA, scatterplots, histograms, cluster analysis (e.g. k-means, PCA, biplots) etc.

· Build some models – split the data into training and testing dataset, explore different regression/classification techniques, consider prediction accuracy, confusion matrices, etc.

· Document your analysis in a Statistica report file – I’m not simply looking for tables and graphs of results, but your interpretation of the results – what has been your thought process and what are you learning from the data

2. Statistica workspace file

· Build a Statistica workspace to replicate your best attempt at predicting BlowbackEvents

Attachments:

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