Tarea 1 Descriptivos de iris
Shiny descriptivo de los datos
FALSE No missing values.Metadata
Description
Dataset name: codebook_data
The dataset has N=150 rows and 5 columns. 150 rows have no missing values on any column.
Metadata for search engines
- Date published: 2022-05-10
|
#Variables
sepalo_largo
Distribution
Distribution of values for sepalo_largo
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| sepalo_largo | numeric | 0 | 1 | 4.3 | 5.8 | 7.9 | 5.843333 | 0.8280661 | ▆▇▇▅▂ | NA |
sepalo_ancho
Distribution
Distribution of values for sepalo_ancho
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| sepalo_ancho | numeric | 0 | 1 | 2 | 3 | 4.4 | 3.057333 | 0.4358663 | ▁▆▇▂▁ | NA |
petalo_largo
Distribution
Distribution of values for petalo_largo
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| petalo_largo | numeric | 0 | 1 | 1 | 4.3 | 6.9 | 3.758 | 1.765298 | ▇▁▆▇▂ | NA |
petalo_ancho
Distribution
Distribution of values for petalo_ancho
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| petalo_ancho | numeric | 0 | 1 | 0.1 | 1.3 | 2.5 | 1.199333 | 0.7622377 | ▇▁▇▅▃ | NA |
especie
Distribution
Distribution of values for especie
0 missing values.
Summary statistics
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | label |
|---|---|---|---|---|---|---|---|---|
| especie | factor | FALSE | 1. setosa, 2. versicolor, 3. virginica |
0 | 1 | 3 | set: 50, ver: 50, vir: 50 | NA |
Missingness report
Codebook table
| name | data_type | ordered | value_labels | n_missing | complete_rate | n_unique | top_counts | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| sepalo_largo | numeric | NA | NA | 0 | 1 | NA | NA | 4.3 | 5.8 | 7.9 | 5.843333 | 0.8280661 | ▆▇▇▅▂ | NA |
| sepalo_ancho | numeric | NA | NA | 0 | 1 | NA | NA | 2.0 | 3.0 | 4.4 | 3.057333 | 0.4358663 | ▁▆▇▂▁ | NA |
| petalo_largo | numeric | NA | NA | 0 | 1 | NA | NA | 1.0 | 4.3 | 6.9 | 3.758000 | 1.7652982 | ▇▁▆▇▂ | NA |
| petalo_ancho | numeric | NA | NA | 0 | 1 | NA | NA | 0.1 | 1.3 | 2.5 | 1.199333 | 0.7622377 | ▇▁▇▅▃ | NA |
| especie | factor | FALSE | 1. setosa, 2. versicolor, 3. virginica |
0 | 1 | 3 | set: 50, ver: 50, vir: 50 | NA | NA | NA | NA | NA | NA | NA |
JSON-LD metadata
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "codebook_data",
"datePublished": "2022-05-10",
"description": "The dataset has N=150 rows and 5 columns.\n150 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:------------|:-----|---------:|\n|sepalo_largo |NA | 0|\n|sepalo_ancho |NA | 0|\n|petalo_largo |NA | 0|\n|petalo_ancho |NA | 0|\n|especie |NA | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["sepalo_largo", "sepalo_ancho", "petalo_largo", "petalo_ancho", "especie"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "sepalo_largo",
"@type": "propertyValue"
},
{
"name": "sepalo_ancho",
"@type": "propertyValue"
},
{
"name": "petalo_largo",
"@type": "propertyValue"
},
{
"name": "petalo_ancho",
"@type": "propertyValue"
},
{
"name": "especie",
"value": "1. setosa,\n2. versicolor,\n3. virginica",
"@type": "propertyValue"
}
]
}`