Accessing data explained by our RapidMiner homework help experts


Top-Rated-RapidMiner-Homework-Help-Service

First, our RapidMiner homework helpers add data to the process. Then, they inspect data using summary statistics.

Using Offense Code the most common crimes is 060-Larceny-Theft Using Offense Code the least common crimes is 250-Vagrancy

According to the above data, our RapidMiner homework help experts conclude that the crimes are more often committed by No College educated people because the average of crimes for college degree (0.891) is less than the average for no college degree (7.9).

Learn filtering & sorting from our online RapidMiner tutors


Our RapidMiner experts argue that the most common crime that Non-College Degree offenders committed in one month  is : 18D-Drug Sale / Mfg - Other The most common crime that College Degree offenders committed in one month  is : 140-Vandalism April and May

No College Degree

College Degree Aggregate data to get more information of interest.

Looking at the above data, our online RapidMiner tutors the most common crimes that offenders committed across all months are: 080-Other Assaults - Not Aggravated and it was committed 3086 times

The most common crime that offenders committed across all months is290-Runaways  and it was committed 455 times.


Merging & Grouping



Creating & removing columns elaborated by our RapidMiner assignment helpers


The crime rate (range) is : [0.006,0.011]

From the table above, our RapidMiner assignment helpers conclude that the crime rate has not increased over the period. They are significantly underrepresented.

Decision Tree Look as demonstrated above by our RapidMiner assignment help experts.

Safety = high

| Passengers = 2: No {No=192, Yes=0}

| Passengers = 4

| | Purch Cost = high

| | | MaintCost = high: Yes {No=0, Yes=12}

| | | MaintCost = low: Yes {No=0, Yes=12}

| | | MaintCost = med: Yes {No=0, Yes=12}

| | | MaintCost = vhigh: No {No=12, Yes=0}

| | Purch Cost = low: Yes {No=0, Yes=48}

| | Purch Cost = med: Yes {No=0, Yes=48}

| | Purch Cost = vhigh

| | | MaintCost = high: No {No=12, Yes=0}

| | | MaintCost = low: Yes {No=0, Yes=12}

| | | MaintCost = med: Yes {No=0, Yes=12}

| | | MaintCost = vhigh: No {No=12, Yes=0}

| Passengers = more

| | Purch Cost = high

| | | MaintCost = high: Yes {No=1, Yes=11}

| | | MaintCost = low: Yes {No=1, Yes=11}

| | | MaintCost = med: Yes {No=1, Yes=11}

| | | MaintCost = vhigh: No {No=12, Yes=0}

| | Purch Cost = low

| | | Doors = 2

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: Yes {No=0, Yes=4}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | | Doors = 3: Yes {No=0, Yes=12}

| | | Doors = 4: Yes {No=0, Yes=12}

| | | Doors = 5more: Yes {No=0, Yes=12}

| | Purch Cost = med

| | | Doors = 2

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: Yes {No=0, Yes=4}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | | Doors = 3: Yes {No=0, Yes=12}

| | | Doors = 4: Yes {No=0, Yes=12}

| | | Doors = 5more: Yes {No=0, Yes=12}

| | Purch Cost = vhigh

| | | MaintCost = high: No {No=12, Yes=0}

| | | MaintCost = low: Yes {No=1, Yes=11}

| | | MaintCost = med: Yes {No=1, Yes=11}

| | | MaintCost = vhigh: No {No=12, Yes=0}

Safety = low: No {No=576, Yes=0}

Safety = med

| Passengers = 2: No {No=192, Yes=0}

| Passengers = 4

| | Purch Cost = high

| | | TrunkSize = big

| | | | MaintCost = high: Yes {No=0, Yes=4}

| | | | MaintCost = low: Yes {No=0, Yes=4}

| | | | MaintCost = med: Yes {No=0, Yes=4}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | | TrunkSize = med

| | | | Doors = 2: No {No=4, Yes=0}

| | | | Doors = 3: No {No=4, Yes=0}

| | | | Doors = 4: Yes {No=1, Yes=3}

| | | | Doors = 5more: Yes {No=1, Yes=3}

| | | TrunkSize = small: No {No=16, Yes=0}

| | Purch Cost = low

| | | MaintCost = high: Yes {No=0, Yes=12}

| | | MaintCost = low: Yes {No=0, Yes=12}

| | | MaintCost = med: Yes {No=0, Yes=12}

| | | MaintCost = vhigh

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: No {No=2, Yes=2}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | Purch Cost = med

| | | MaintCost = high

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: No {No=2, Yes=2}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | | MaintCost = low: Yes {No=0, Yes=12}

| | | MaintCost = med: Yes {No=0, Yes=12}

| | | MaintCost = vhigh

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: No {No=2, Yes=2}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | Purch Cost = vhigh

| | | MaintCost = high: No {No=12, Yes=0}

| | | MaintCost = low

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: No {No=2, Yes=2}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | | MaintCost = med

| | | | TrunkSize = big: Yes {No=0, Yes=4}

| | | | TrunkSize = med: No {No=2, Yes=2}

| | | | TrunkSize = small: No {No=4, Yes=0}

| | | MaintCost = vhigh: No {No=12, Yes=0}

| Passengers = more

| | TrunkSize = big

| | | Purch Cost = high

| | | | MaintCost = high: Yes {No=0, Yes=4}

| | | | MaintCost = low: Yes {No=0, Yes=4}

| | | | MaintCost = med: Yes {No=0, Yes=4}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | | Purch Cost = low: Yes {No=0, Yes=16}

| | | Purch Cost = med: Yes {No=0, Yes=16}

| | | Purch Cost = vhigh

| | | | MaintCost = high: No {No=4, Yes=0}

| | | | MaintCost = low: Yes {No=0, Yes=4}

| | | | MaintCost = med: Yes {No=0, Yes=4}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | TrunkSize = med

| | | Purch Cost = high

| | | | MaintCost = high: Yes {No=1, Yes=3}

| | | | MaintCost = low: Yes {No=1, Yes=3}

| | | | MaintCost = med: Yes {No=1, Yes=3}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | | Purch Cost = low: Yes {No=1, Yes=15}

| | | Purch Cost = med

| | | | Doors = 2: No {No=2, Yes=2}

| | | | Doors = 3: Yes {No=0, Yes=4}

| | | | Doors = 4: Yes {No=0, Yes=4}

| | | | Doors = 5more: Yes {No=0, Yes=4}

| | | Purch Cost = vhigh

| | | | MaintCost = high: No {No=4, Yes=0}

| | | | MaintCost = low: Yes {No=1, Yes=3}

| | | | MaintCost = med: Yes {No=1, Yes=3}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | TrunkSize = small

| | | Purch Cost = high: No {No=16, Yes=0}

| | | PurchCost = low

| | | | MaintCost = high: Yes {No=1, Yes=3}

| | | | MaintCost = low: Yes {No=1, Yes=3}

| | | | MaintCost = med: Yes {No=1, Yes=3}

| | | | MaintCost = vhigh: No {No=4, Yes=0}

| | | Purch Cost = med

| | | | MaintCost = high: No {No=4, Yes=0}

| | | | MaintCost = low: Yes {No=1, Yes=3}

| | | | MaintCost = med: Yes {No=1, Yes=3}

Our final RapidMiner assignment solution shows that the attributes were decreased and the decision tree now contains few nodes. We can get the same result by reducing depth. We can have the same results without losing information.