Stacked bar chart Plot the relationship between newContruction and heating type.Grouped bar chart Plot the relationship between newContruction and heating type.Segmented bar chart Plot the relationship between newContruction and heating type.In this exercise you will learn to plot data using the ggplot2 package. To this end, you will make your own note of 4.1 Categorical vs. Categorical from Data Visualization with R.
## Observations: 1,728
## Variables: 16
## $ price <int> 132500, 181115, 109000, 155000, 86060, 120000, 1…
## $ lotSize <dbl> 0.09, 0.92, 0.19, 0.41, 0.11, 0.68, 0.40, 1.21, …
## $ age <int> 42, 0, 133, 13, 0, 31, 33, 23, 36, 4, 123, 1, 13…
## $ landValue <int> 50000, 22300, 7300, 18700, 15000, 14000, 23300, …
## $ livingArea <int> 906, 1953, 1944, 1944, 840, 1152, 2752, 1662, 16…
## $ pctCollege <int> 35, 51, 51, 51, 51, 22, 51, 35, 51, 44, 51, 51, …
## $ bedrooms <int> 2, 3, 4, 3, 2, 4, 4, 4, 3, 3, 7, 3, 2, 3, 3, 3, …
## $ fireplaces <int> 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ bathrooms <dbl> 1.0, 2.5, 1.0, 1.5, 1.0, 1.0, 1.5, 1.5, 1.5, 1.5…
## $ rooms <int> 5, 6, 8, 5, 3, 8, 8, 9, 8, 6, 12, 6, 4, 5, 8, 4,…
## $ heating <fct> electric, hot water/steam, hot water/steam, hot …
## $ fuel <fct> electric, gas, gas, gas, gas, gas, oil, oil, ele…
## $ sewer <fct> septic, septic, public/commercial, septic, publi…
## $ waterfront <fct> No, No, No, No, No, No, No, No, No, No, No, No, …
## $ newConstruction <fct> No, No, No, No, Yes, No, No, No, No, No, No, No,…
## $ centralAir <fct> No, No, No, No, Yes, No, No, No, No, No, No, No,…
Stacked bar chart Plot the relationship between newContruction and heating type.Hint: See the stacked bar chart you created in the previous question.
The common heating system is hot air heating because it is mostly red.
Grouped bar chart Plot the relationship between newContruction and heating type.Segmented bar chart Plot the relationship between newContruction and heating type.New constructed houses have a higher proportion of hot air to heating systems. older homes use .55 whereas newer homes is closer to 1.00.
Hint: See the code in 4.1.4 Improving the color and labeling.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.