status: Get a summary for the given data frame (o vector).

In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Description

For each variable it returns: Quantity and percentage of zeros (q_zeros and p_zeros respectevly). Same metrics for NA values (q_NA/p_na), and infinite values (q_inf/p_inf). Last two columns indicates data type and quantity of unique values. 'status' function is the evolution of 'df_status'. Main change is to have the decimal points as it is, except in percentage. For example now p_na=0.04 means 4 This time it's easier to embbed in a data process flow and to take actions based on this number.

Usage

status(data)

Arguments

data	data frame, tibble or a single vector

Value

Tibble with metrics

Examples

status(heart_disease)

Example output

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: ‘Hmisc’

The following objects are masked from ‘package:base’:

    format.pval, units

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                 variable q_zeros   p_zeros q_na       p_na q_inf p_inf    type
1                     age       0 0.0000000    0 0.00000000     0     0 integer
2                  gender       0 0.0000000    0 0.00000000     0     0  factor
3              chest_pain       0 0.0000000    0 0.00000000     0     0  factor
4  resting_blood_pressure       0 0.0000000    0 0.00000000     0     0 integer
5       serum_cholestoral       0 0.0000000    0 0.00000000     0     0 integer
6     fasting_blood_sugar     258 0.8514851    0 0.00000000     0     0  factor
7         resting_electro     151 0.4983498    0 0.00000000     0     0  factor
8          max_heart_rate       0 0.0000000    0 0.00000000     0     0 integer
9             exer_angina     204 0.6732673    0 0.00000000     0     0 integer
10                oldpeak      99 0.3267327    0 0.00000000     0     0 numeric
11                  slope       0 0.0000000    0 0.00000000     0     0 integer
12      num_vessels_flour     176 0.5808581    4 0.01320132     0     0 integer
13                   thal       0 0.0000000    2 0.00660066     0     0  factor
14 heart_disease_severity     164 0.5412541    0 0.00000000     0     0 integer
15           exter_angina     204 0.6732673    0 0.00000000     0     0  factor
16      has_heart_disease       0 0.0000000    0 0.00000000     0     0  factor
   unique
1      41
2       2
3       4
4      50
5     152
6       2
7       3
8      91
9       2
10     40
11      3
12      4
13      3
14      5
15      2
16      2

funModeling documentation built on July 1, 2020, 5:40 p.m.