The dataset ToyotaCorolla. csv contains data on used cars on sale during the late summer of 2004 in the Netherlands. It has 1436 records containing details on 38 attributes, including Price, Age, Kilometers, HP, and other specifications. a. Explore the data using the data visualization capabilities of R. Which of the pairs among the variables seem to be correlated?
b. We plan to analyze the data using various data mining techniques described in future chapters.
Prepare the data for use as follows:
i. The dataset has two categorical attributes, Fuel Type and Metallic. Describe how you would convert these to binary variables. Confirm this using Râs functions to transform categorical data into dummies.
ii. Prepare the dataset (as factored into dummies) for data mining techniques of supervised learning by creating partitions in R.

3. (6 pts) internally in the computer, with few exceptions, all numerical computation is done using binary numbers. output, however, often uses ascii, which is formed by appending 011 to the left of a bcd code. thus, an algorithm that directly converts a binary integer to a bcd integer is very useful. here is one such algorithm 1) draw lines to the left of the binary number to bound the expected bcd decades. (each decade is a group of 4 bits.) move the binary number one bit to the left. add 0011 to each bcd decade containing a binary value> 0100 repeat steps 2-3 until the last bit in the binary number has been moved into the least significant decade position. (note that when the last bit has been shifted into bcd decade, step 3 is not repeated.) read the bcd result. 2) 3) 4) 5) a) execute the algorithm for the binary number 1101101 b) execute the algorithm for the binary number 01110101110 4. (4 pts) represent the decimal number 3568 in bcd; excess-3 code; ascil; and hex.

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