Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

Question 5a, (4 points): Remake the original horizontal pokemon plot with your new pokemonextra data frame, except only include pokemon taller than 1 meter and

Question 5a, (4 points): Remake the original horizontal pokemon plot with your new pokemonextra data frame, except only include pokemon taller than 1 meter and weighing more than 1kg. Hint: If your title is too long use to split your text into two lines.

A part of data set by

Number Name Type_1 Type_2 Total HP Attack Defense Sp_Atk Sp_Def Speed Generation isLegendary Color hasGender Pr_Male Egg_Group_1 Egg_Group_2 hasMegaEvolution Height_m Weight_kg Catch_Rate Body_Style
1 Bulbasaur Grass Poison 318 45 49 49 65 65 45 1 FALSE Green TRUE 0.875 Monster Grass FALSE 0.71 6.9 45 quadruped
2 Ivysaur Grass Poison 405 60 62 63 80 80 60 1 FALSE Green TRUE 0.875 Monster Grass FALSE 0.99 13 45 quadruped
3 Venusaur Grass Poison 525 80 82 83 100 100 80 1 FALSE Green TRUE 0.875 Monster Grass TRUE 2.01 100 45 quadruped
4 Charmander Fire 309 39 52 43 60 50 65 1 FALSE Red TRUE 0.875 Monster Dragon FALSE 0.61 8.5 45 bipedal_tailed

All code that I have in Rstudio (May be some line useless):

poke = read.csv(file = "pokemon_2019.csv", ... ) head(poke) plot(poke[,"Type_1"], horiz=TRUE,las=2) poke[,"HP"]>200 poke[poke[,"HP"]>200,"HP"] which(poke[,"HP"]>200) # these are the row numbers poke[poke[,"HP"]>200,] #These are the full data rows pokenew = poke[1,]*NA pokenew$Name = "Charmandavar" pokenew$Type_1 = "student" pokenew[,"Name"] = "Lloyd" # You can use any name here. pokemonextra = rbind(pokenew,poke) dim(poke) dim(pokenew) summary(poke) summary(pokenew) head(poke) head(pokenew) plot(pokemonextra[,"Type_1"], las=2) is.data.frame(poke) is.data.frame(pokemonextra) is.numeric(poke[,"Type_1"]) is.numeric(pokemonextra[,"Type_1"]) is.factor(poke[,"Type_1"]) is.factor(pokemonextra[,"Type_1"]) poke[1:5,"Type_1"] pokemonextra[1:5,"Type_1"] unique(poke[,"Type_1"]) pokemonextra[,"Type_1"] = factor(pokemonextra[,"Type_1"]) pokemonextra[1:5,"Type_1"] as.numeric(poke[,"Type_1"]) factor(poke[,"Attack"]) levels(pokemonextra[,"Type_1"]) levels(poke[,"Type_1"])

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Secrets Of Analytical Leaders Insights From Information Insiders

Authors: Wayne Eckerson

1st Edition

1935504347, 9781935504344

More Books

Students also viewed these Databases questions

Question

Explain in detail the different methods of performance appraisal .

Answered: 1 week ago