Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory49.5 B

Variable types

Numeric3
Text1
Categorical1

Dataset

Description한국지능정보사회진흥원(NIA)에서 제공하는 스마트워크 도입을 위한 자가진단 스코어에 관한 정보(가중치일련번호, 상위그룹일련번호, 가중치유형명 등)입니다.
Author한국지능정보사회진흥원
URLhttps://www.data.go.kr/data/15064790/fileData.do

Alerts

가중치일련번호 is highly overall correlated with 상위그룹일련번호 and 1 other fieldsHigh correlation
상위그룹일련번호 is highly overall correlated with 가중치일련번호 and 1 other fieldsHigh correlation
가중치점수 is highly overall correlated with 가중치일련번호 and 1 other fieldsHigh correlation
가중치일련번호 has unique valuesUnique
가중치유형명 has unique valuesUnique
상위그룹일련번호 has 5 (20.8%) zerosZeros

Reproduction

Analysis started2023-12-12 22:00:04.266462
Analysis finished2023-12-12 22:00:05.490607
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가중치일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:00:05.570867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-13T07:00:05.699055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

상위그룹일련번호
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3333333
Minimum0
Maximum5
Zeros5
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:00:05.802829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7856108
Coefficient of variation (CV)0.76526176
Kurtosis-1.2849093
Mean2.3333333
Median Absolute Deviation (MAD)1.5
Skewness0.14810776
Sum56
Variance3.1884058
MonotonicityIncreasing
2023-12-13T07:00:05.897987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
20.8%
1 4
16.7%
2 4
16.7%
3 4
16.7%
5 4
16.7%
4 3
12.5%
ValueCountFrequency (%)
0 5
20.8%
1 4
16.7%
2 4
16.7%
3 4
16.7%
4 3
12.5%
5 4
16.7%
ValueCountFrequency (%)
5 4
16.7%
4 3
12.5%
3 4
16.7%
2 4
16.7%
1 4
16.7%
0 5
20.8%

가중치유형명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T07:00:06.091770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length7
Min length4

Characters and Unicode

Total characters168
Distinct characters87
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row경영진리더십과 가치공유
2nd row인적역량과 관리체계
3rd row스마트 프로세스 혁신
4th row업무공간관리
5th row기술인프라
ValueCountFrequency (%)
관리체계 2
 
5.4%
경영진리더십과 1
 
2.7%
가상공간협업 1
 
2.7%
고객관계업무 1
 
2.7%
생산현장업무 1
 
2.7%
의사결정업무 1
 
2.7%
유연근무체계 1
 
2.7%
물리적 1
 
2.7%
공간 1
 
2.7%
공간관리 1
 
2.7%
Other values (26) 26
70.3%
2023-12-13T07:00:06.457297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
7.7%
리 8
 
4.8%
업 7
 
4.2%
공 6
 
3.6%
관 6
 
3.6%
무 5
 
3.0%
계 5
 
3.0%
체 4
 
2.4%
간 4
 
2.4%
과 4
 
2.4%
Other values (77) 106
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
88.7%
Space Separator 13
 
7.7%
Uppercase Letter 2
 
1.2%
Other Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%
Lowercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 8
 
5.4%
업 7
 
4.7%
공 6
 
4.0%
관 6
 
4.0%
무 5
 
3.4%
계 5
 
3.4%
체 4
 
2.7%
간 4
 
2.7%
과 4
 
2.7%
가 3
 
2.0%
Other values (70) 97
65.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
88.7%
Common 16
 
9.5%
Latin 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 8
 
5.4%
업 7
 
4.7%
공 6
 
4.0%
관 6
 
4.0%
무 5
 
3.4%
계 5
 
3.4%
체 4
 
2.7%
간 4
 
2.7%
과 4
 
2.7%
가 3
 
2.0%
Other values (70) 97
65.1%
Common
ValueCountFrequency (%)
13
81.2%
/ 1
 
6.2%
( 1
 
6.2%
) 1
 
6.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
x 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
88.7%
ASCII 19
 
11.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
68.4%
/ 1
 
5.3%
( 1
 
5.3%
) 1
 
5.3%
C 1
 
5.3%
x 1
 
5.3%
O 1
 
5.3%
Hangul
ValueCountFrequency (%)
리 8
 
5.4%
업 7
 
4.7%
공 6
 
4.0%
관 6
 
4.0%
무 5
 
3.4%
계 5
 
3.4%
체 4
 
2.7%
간 4
 
2.7%
과 4
 
2.7%
가 3
 
2.0%
Other values (70) 97
65.1%

하위그룹/설문수
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2
9 
3
7 
4
6 
1
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
2 9
37.5%
3 7
29.2%
4 6
25.0%
1 2
 
8.3%

Length

2023-12-13T07:00:06.588652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:06.689142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9
37.5%
3 7
29.2%
4 6
25.0%
1 2
 
8.3%

가중치점수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.083333333
Minimum0.017
Maximum0.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:00:06.801569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.02445
Q10.03425
median0.06
Q30.0985
95-th percentile0.265
Maximum0.29
Range0.273
Interquartile range (IQR)0.06425

Descriptive statistics

Standard deviation0.074411118
Coefficient of variation (CV)0.89293342
Kurtosis3.0332322
Mean0.083333333
Median Absolute Deviation (MAD)0.0285
Skewness1.8662611
Sum2
Variance0.0055370145
MonotonicityNot monotonic
2023-12-13T07:00:06.905013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.06 3
 
12.5%
0.29 1
 
4.2%
0.065 1
 
4.2%
0.027 1
 
4.2%
0.032 1
 
4.2%
0.024 1
 
4.2%
0.017 1
 
4.2%
0.031 1
 
4.2%
0.051 1
 
4.2%
0.098 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
0.017 1
4.2%
0.024 1
4.2%
0.027 1
4.2%
0.028 1
4.2%
0.031 1
4.2%
0.032 1
4.2%
0.035 1
4.2%
0.041 1
4.2%
0.043 1
4.2%
0.046 1
4.2%
ValueCountFrequency (%)
0.29 1
4.2%
0.28 1
4.2%
0.18 1
4.2%
0.15 1
4.2%
0.127 1
4.2%
0.1 1
4.2%
0.098 1
4.2%
0.08 1
4.2%
0.075 1
4.2%
0.065 1
4.2%

Interactions

2023-12-13T07:00:04.988991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.468448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.717892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:05.077172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.540752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.793916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:05.174322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.635115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:04.884153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:00:07.275134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가중치일련번호상위그룹일련번호가중치유형명하위그룹/설문수가중치점수
가중치일련번호1.0000.9411.0000.2340.753
상위그룹일련번호0.9411.0001.0000.4200.505
가중치유형명1.0001.0001.0001.0001.000
하위그룹/설문수0.2340.4201.0001.0000.346
가중치점수0.7530.5051.0000.3461.000
2023-12-13T07:00:07.373073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가중치일련번호상위그룹일련번호가중치점수하위그룹/설문수
가중치일련번호1.0000.986-0.7280.000
상위그룹일련번호0.9861.000-0.7200.250
가중치점수-0.728-0.7201.0000.197
하위그룹/설문수0.0000.2500.1971.000

Missing values

2023-12-13T07:00:05.307211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:00:05.440619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

가중치일련번호상위그룹일련번호가중치유형명하위그룹/설문수가중치점수
010경영진리더십과 가치공유40.29
120인적역량과 관리체계40.15
230스마트 프로세스 혁신40.28
340업무공간관리30.18
450기술인프라40.1
561비전과 사업전략20.06
671CxO 리더십30.127
781기업문화30.06
891공유수준20.043
9102임직원 역량30.035
가중치일련번호상위그룹일련번호가중치유형명하위그룹/설문수가중치점수
14153생산현장업무30.08
15163의사결정업무20.06
16173유연근무체계40.075
17184물리적 공간20.098
18194가상공간협업30.051
19204공간관리 지원제도40.031
20215정보(레거시) 시스템20.017
21225네트워크/ 하드웨어10.024
22235모바일장비20.032
23245정보관리체계20.027