First work: Data reporting using Markdown
Erick Saldaña
August 16, 2016
1. Visualization and summary of iris dataframe
iris[1:5,] ## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosasummary(iris)## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
## 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
## Median :5.800 Median :3.000 Median :4.350 Median :1.300
## Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
## 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
## Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
## Species
## setosa :50
## versicolor:50
## virginica :50
##
##
## The summary function provided an exploratory analysis of data for each variable by descriptive statistics such as minimum, maximum, and quartiles. However, I am interested in knowing if exist any relationship between variables. My hypothesis is that there will be a relationship between length and width for both sepal and petal.
2. Relationships analysis: Plotting Sepal Length vs Sepal Width
Sepal Length vs Sepal Width for all species
Figure 1. Sepal Length vs Sepal Width for all species
According to Figure 1, relationship between Sepal Length and Sepal Width is not clear, for this reason we analized this relationships by species.