May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Mapping and understanding the data structure
This section involves understanding the depth of each and every attribute that is considered to be important for the dataset indicated:
- To get a feel for the data as per the attribute structure, use the following code:
> class(GlassDataset)[1] "tbl_df" "tbl" "data.frame"
The output shows that the dataset is merely a tabular format of the data frame.
- Check the dimensions of the dataset as follows:
> dim(GlassDataset)[1] 214 11
This means that the dataset comprises 214 rows and 11 columns. The column structure is as discussed in the first section.
- View the column names of the dataset and check whether they correspond to the records included in the Excel file:
> colnames(GlassDataset)[1] "Id" ...
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