The quality of suburbs in Melbourne is evaluated using the following four features:

Feature 1: Crime rate - the value ranges from 0.006 to 80. This is the per capita crime rate by suburb. A higher crime rate reduces the quality of the suburb.

Feature 2: Pupil-teacher ratio - this is a measure of the educational facilities. The value ranges from 12 to 22. A lower value is better for the education standard of the suburb.

Feature 3: Distance to employment centers - this is the weighted distance to employment centers. The value ranges from 1.1 to 12.1. A lower value indicates better access to jobs and raises the quality of the suburb.

Feature 4: Number of rooms per dwelling - average number of rooms per dwelling ranges from 3.5 to 8.7. More rooms indicate a higher standard of living.

The histogram plot for each of the four features is given below:

For each variable, we need to define appropriate transformations so that the score for each feature ranges from 0 to 1 and the quality of each town can be evaluated using an aggregation function.

(1) Regarding the Crime Rate, which of the transform methods should be used to reduce the skewness? Please type "log transform", "square transform" or "min-max normalization".

(2) Is a negation transform needed for Pupil-teacher ratio? Please type "Yes" or "No".

(3) Regarding the Distance to employment centers, which of the transform methods should be used to reduce the skewness? Please type "log transform", "square root transform" or "z-score transform".

(4) Which of the following distributions is the best to describe the number of rooms per dwelling? Please type "normal distribution", "log distribution", "poison distribution" or "uniform distribution".