[R/SAS/Python]データの属性確認

目的
IRISデータの変数情報を確認したい。

元データ

Sepal_LengthSepal_WidthPetal_LengthPetal_WidthSpecies
5.13.51.40.2setosa
4.931.40.2setosa
4.73.21.30.2setosa
4.63.11.50.2setosa
53.61.40.2setosa
5.43.91.70.4setosa
4.63.41.40.3setosa
53.41.50.2setosa
4.42.91.40.2setosa
4.93.11.50.1setosa
5.43.71.50.2setosa
4.83.41.60.2setosa
4.831.40.1setosa
4.331.10.1setosa
5.841.20.2setosa
5.74.41.50.4setosa
5.43.91.30.4setosa
5.13.51.40.3setosa
5.73.81.70.3setosa
5.13.81.50.3setosa
5.43.41.70.2setosa
5.13.71.50.4setosa
4.63.610.2setosa
5.13.31.70.5setosa
4.83.41.90.2setosa
531.60.2setosa
53.41.60.4setosa
5.23.51.50.2setosa
5.23.41.40.2setosa
4.73.21.60.2setosa
4.83.11.60.2setosa
5.43.41.50.4setosa
5.24.11.50.1setosa
5.54.21.40.2setosa
4.93.11.50.2setosa
53.21.20.2setosa
5.53.51.30.2setosa
4.93.61.40.1setosa
4.431.30.2setosa
5.13.41.50.2setosa
53.51.30.3setosa
4.52.31.30.3setosa
4.43.21.30.2setosa
53.51.60.6setosa
5.13.81.90.4setosa
4.831.40.3setosa
5.13.81.60.2setosa
4.63.21.40.2setosa
5.33.71.50.2setosa
53.31.40.2setosa
73.24.71.4versicolor
6.43.24.51.5versicolor
6.93.14.91.5versicolor
5.52.341.3versicolor
6.52.84.61.5versicolor
5.72.84.51.3versicolor
6.33.34.71.6versicolor
4.92.43.31versicolor
6.62.94.61.3versicolor
5.22.73.91.4versicolor
523.51versicolor
5.934.21.5versicolor
62.241versicolor
6.12.94.71.4versicolor
5.62.93.61.3versicolor
6.73.14.41.4versicolor
5.634.51.5versicolor
5.82.74.11versicolor
6.22.24.51.5versicolor
5.62.53.91.1versicolor
5.93.24.81.8versicolor
6.12.841.3versicolor
6.32.54.91.5versicolor
6.12.84.71.2versicolor
6.42.94.31.3versicolor
6.634.41.4versicolor
6.82.84.81.4versicolor
6.7351.7versicolor
62.94.51.5versicolor
5.72.63.51versicolor
5.52.43.81.1versicolor
5.52.43.71versicolor
5.82.73.91.2versicolor
62.75.11.6versicolor
5.434.51.5versicolor
63.44.51.6versicolor
6.73.14.71.5versicolor
6.32.34.41.3versicolor
5.634.11.3versicolor
5.52.541.3versicolor
5.52.64.41.2versicolor
6.134.61.4versicolor
5.82.641.2versicolor
52.33.31versicolor
5.62.74.21.3versicolor
5.734.21.2versicolor
5.72.94.21.3versicolor
6.22.94.31.3versicolor
5.12.531.1versicolor
5.72.84.11.3versicolor
6.33.362.5virginica
5.82.75.11.9virginica
7.135.92.1virginica
6.32.95.61.8virginica
6.535.82.2virginica
7.636.62.1virginica
4.92.54.51.7virginica
7.32.96.31.8virginica
6.72.55.81.8virginica
7.23.66.12.5virginica
6.53.25.12virginica
6.42.75.31.9virginica
6.835.52.1virginica
5.72.552virginica
5.82.85.12.4virginica
6.43.25.32.3virginica
6.535.51.8virginica
7.73.86.72.2virginica
7.72.66.92.3virginica
62.251.5virginica
6.93.25.72.3virginica
5.62.84.92virginica
7.72.86.72virginica
6.32.74.91.8virginica
6.73.35.72.1virginica
7.23.261.8virginica
6.22.84.81.8virginica
6.134.91.8virginica
6.42.85.62.1virginica
7.235.81.6virginica
7.42.86.11.9virginica
7.93.86.42virginica
6.42.85.62.2virginica
6.32.85.11.5virginica
6.12.65.61.4virginica
7.736.12.3virginica
6.33.45.62.4virginica
6.43.15.51.8virginica
634.81.8virginica
6.93.15.42.1virginica
6.73.15.62.4virginica
6.93.15.12.3virginica
5.82.75.11.9virginica
6.83.25.92.3virginica
6.73.35.72.5virginica
6.735.22.3virginica
6.32.551.9virginica
6.535.22virginica
6.23.45.42.3virginica
5.935.11.8virginica

プログラム

RSASPythom
#データフレームの属性を確認する
sapply(iris, class)

sapply関数で属性を確認するclass関数を複数変数に適応する

/* データの属性確認 */
proc contents data = SASHELP.IRIS;
run;
#ライブラリ呼び出し
import pandas as pd
from sklearn.datasets import load_iris

#irisデータを呼び出してデータフレーム化する
iris = load_iris()
IRIS = pd.DataFrame(iris.data, columns = iris.feature_names)
IRIS['species'] = iris.target_names[iris.target]

#データの特性を確認する
IRIS.dtypes



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