Overview

Dataset statistics

Number of variables6
Number of observations5517
Missing cells835
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory264.1 KiB
Average record size in memory49.0 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description특정 통계표와 관련이 있는 통계표 정보(관련 통계표 정보)를 표시. 특정 통계표가 특정 기간 동안 공표가된 이후 분류체계 개편 등으로 더 이상 서비스가 되지 않고 새로운 분류체계를 적용한 통계표로 서비스를 시작할 경우, 새로운 통계표의 관련 통계표로 이전 통계표를 관리하고 있음
Author통계청
URLhttps://www.data.go.kr/data/15085083/fileData.do

Alerts

관련통계표_기관코드 is highly overall correlated with 기관명 and 1 other fieldsHigh correlation
관련통계표 설명 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
기관명 is highly overall correlated with 관련통계표_기관코드 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 관련통계표 설명High correlation
기관명 is highly imbalanced (53.2%)Imbalance
관련통계표_기관코드 is highly imbalanced (53.8%)Imbalance
관련통계표 설명 is highly imbalanced (70.3%)Imbalance
순번 has 835 (15.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:29:12.251790
Analysis finished2023-12-12 06:29:13.026323
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct33
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
통계청
3545 
산업통상자원부
 
285
경찰청
 
278
중소벤처기업부
 
266
한국주택금융공사
 
164
Other values (28)
979 

Length

Max length10
Median length3
Mean length4.1935835
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국교육개발원
2nd row한국교육개발원
3rd row한국교육개발원
4th row한국교육개발원
5th row한국교육개발원

Common Values

ValueCountFrequency (%)
통계청 3545
64.3%
산업통상자원부 285
 
5.2%
경찰청 278
 
5.0%
중소벤처기업부 266
 
4.8%
한국주택금융공사 164
 
3.0%
건강보험심사평가원 134
 
2.4%
한국여성경제인협회 120
 
2.2%
보건복지부 112
 
2.0%
교육부 98
 
1.8%
산림청 84
 
1.5%
Other values (23) 431
 
7.8%

Length

2023-12-12T15:29:13.115807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통계청 3545
64.2%
산업통상자원부 285
 
5.2%
경찰청 278
 
5.0%
중소벤처기업부 266
 
4.8%
한국주택금융공사 164
 
3.0%
건강보험심사평가원 134
 
2.4%
한국여성경제인협회 120
 
2.2%
보건복지부 112
 
2.0%
교육부 98
 
1.8%
산림청 84
 
1.5%
Other values (24) 439
 
7.9%

통계표번호
Text

Distinct3791
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
2023-12-12T15:29:13.387828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length11.621352
Min length8

Characters and Unicode

Total characters64115
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2714 ?
Unique (%)49.2%

Sample

1st rowTX_334_2009_H1006
2nd rowDT_33403N_002
3rd rowDT_33403N_001
4th rowDT_33403N_003
5th rowTX_334_2009_H1008
ValueCountFrequency (%)
dt_13622_2017001 45
 
0.8%
dt_jun_01 18
 
0.3%
dt_lee_02 17
 
0.3%
dt_354005n_007 17
 
0.3%
dt_lee_34 10
 
0.2%
dt_1in9002 9
 
0.2%
dt_1in7002 9
 
0.2%
dt_1in7502 9
 
0.2%
dt_1in8502 9
 
0.2%
dt_1in9502 9
 
0.2%
Other values (3781) 5365
97.2%
2023-12-12T15:29:13.870417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10296
16.1%
0 8280
12.9%
_ 8175
12.8%
T 4940
 
7.7%
D 4212
 
6.6%
2 3734
 
5.8%
3 3183
 
5.0%
5 2387
 
3.7%
N 2037
 
3.2%
4 1912
 
3.0%
Other values (27) 14959
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34285
53.5%
Uppercase Letter 21655
33.8%
Connector Punctuation 8175
 
12.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 4940
22.8%
D 4212
19.5%
N 2037
9.4%
I 1790
 
8.3%
A 1360
 
6.3%
H 1245
 
5.7%
E 972
 
4.5%
X 692
 
3.2%
K 624
 
2.9%
B 577
 
2.7%
Other values (16) 3206
14.8%
Decimal Number
ValueCountFrequency (%)
1 10296
30.0%
0 8280
24.2%
2 3734
 
10.9%
3 3183
 
9.3%
5 2387
 
7.0%
4 1912
 
5.6%
6 1284
 
3.7%
9 1206
 
3.5%
7 1179
 
3.4%
8 824
 
2.4%
Connector Punctuation
ValueCountFrequency (%)
_ 8175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42460
66.2%
Latin 21655
33.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 4940
22.8%
D 4212
19.5%
N 2037
9.4%
I 1790
 
8.3%
A 1360
 
6.3%
H 1245
 
5.7%
E 972
 
4.5%
X 692
 
3.2%
K 624
 
2.9%
B 577
 
2.7%
Other values (16) 3206
14.8%
Common
ValueCountFrequency (%)
1 10296
24.2%
0 8280
19.5%
_ 8175
19.3%
2 3734
 
8.8%
3 3183
 
7.5%
5 2387
 
5.6%
4 1912
 
4.5%
6 1284
 
3.0%
9 1206
 
2.8%
7 1179
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10296
16.1%
0 8280
12.9%
_ 8175
12.8%
T 4940
 
7.7%
D 4212
 
6.6%
2 3734
 
5.8%
3 3183
 
5.0%
5 2387
 
3.7%
N 2037
 
3.2%
4 1912
 
3.0%
Other values (27) 14959
23.3%

관련통계표_기관코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct35
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
통계청
3545 
산업통상자원부
 
285
경찰청
 
278
중소벤처기업부
 
266
한국주택금융공사
 
164
Other values (30)
979 

Length

Max length10
Median length3
Mean length4.1944898
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국교육개발원
2nd row한국교육개발원
3rd row한국교육개발원
4th row한국교육개발원
5th row한국교육개발원

Common Values

ValueCountFrequency (%)
통계청 3545
64.3%
산업통상자원부 285
 
5.2%
경찰청 278
 
5.0%
중소벤처기업부 266
 
4.8%
한국주택금융공사 164
 
3.0%
건강보험심사평가원 134
 
2.4%
한국여성경제인협회 120
 
2.2%
보건복지부 109
 
2.0%
교육부 98
 
1.8%
산림청 84
 
1.5%
Other values (25) 434
 
7.9%

Length

2023-12-12T15:29:14.069411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통계청 3545
64.2%
산업통상자원부 285
 
5.2%
경찰청 278
 
5.0%
중소벤처기업부 266
 
4.8%
한국주택금융공사 164
 
3.0%
건강보험심사평가원 134
 
2.4%
한국여성경제인협회 120
 
2.2%
보건복지부 109
 
2.0%
교육부 98
 
1.8%
산림청 84
 
1.5%
Other values (26) 442
 
8.0%

관련통계표번호
Text

Distinct3163
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
2023-12-12T15:29:14.407137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length11.015588
Min length7

Characters and Unicode

Total characters60773
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2063 ?
Unique (%)37.4%

Sample

1st rowDT_33403N_001
2nd rowTX_334_2009_H1008
3rd rowTX_334_2009_H1006
4th rowTX_334_2009_H1009
5th rowDT_33403N_002
ValueCountFrequency (%)
dt_13622_2017001 39
 
0.7%
1b26003_a01 34
 
0.6%
dt_1yl0000 29
 
0.5%
dt_1k52b01 19
 
0.3%
dt_1c81 18
 
0.3%
dt_jun_01 18
 
0.3%
dt_1b81a17 18
 
0.3%
dt_1b83a15 17
 
0.3%
dt_1j17005 17
 
0.3%
dt_1j0a004 17
 
0.3%
Other values (3153) 5291
95.9%
2023-12-12T15:29:14.998299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10139
16.7%
0 8204
13.5%
_ 7350
12.1%
T 5660
9.3%
D 4933
 
8.1%
2 3336
 
5.5%
3 2751
 
4.5%
5 2292
 
3.8%
4 1823
 
3.0%
A 1318
 
2.2%
Other values (26) 12967
21.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32801
54.0%
Uppercase Letter 20622
33.9%
Connector Punctuation 7350
 
12.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 5660
27.4%
D 4933
23.9%
A 1318
 
6.4%
N 1231
 
6.0%
I 1015
 
4.9%
E 973
 
4.7%
X 692
 
3.4%
K 624
 
3.0%
B 601
 
2.9%
O 518
 
2.5%
Other values (15) 3057
14.8%
Decimal Number
ValueCountFrequency (%)
1 10139
30.9%
0 8204
25.0%
2 3336
 
10.2%
3 2751
 
8.4%
5 2292
 
7.0%
4 1823
 
5.6%
6 1172
 
3.6%
7 1141
 
3.5%
9 1129
 
3.4%
8 814
 
2.5%
Connector Punctuation
ValueCountFrequency (%)
_ 7350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40151
66.1%
Latin 20622
33.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 5660
27.4%
D 4933
23.9%
A 1318
 
6.4%
N 1231
 
6.0%
I 1015
 
4.9%
E 973
 
4.7%
X 692
 
3.4%
K 624
 
3.0%
B 601
 
2.9%
O 518
 
2.5%
Other values (15) 3057
14.8%
Common
ValueCountFrequency (%)
1 10139
25.3%
0 8204
20.4%
_ 7350
18.3%
2 3336
 
8.3%
3 2751
 
6.9%
5 2292
 
5.7%
4 1823
 
4.5%
6 1172
 
2.9%
7 1141
 
2.8%
9 1129
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10139
16.7%
0 8204
13.5%
_ 7350
12.1%
T 5660
9.3%
D 4933
 
8.1%
2 3336
 
5.5%
3 2751
 
4.5%
5 2292
 
3.8%
4 1823
 
3.0%
A 1318
 
2.2%
Other values (26) 12967
21.3%

순번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)0.4%
Missing835
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean16.446604
Minimum1
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.6 KiB
2023-12-12T15:29:15.187688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q320
95-th percentile40
Maximum180
Range179
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.92948
Coefficient of variation (CV)0.90775457
Kurtosis26.907775
Mean16.446604
Median Absolute Deviation (MAD)0
Skewness4.1919943
Sum77003
Variance222.88937
MonotonicityNot monotonic
2023-12-12T15:29:15.321509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 2869
52.0%
20 1042
 
18.9%
30 264
 
4.8%
1 183
 
3.3%
40 108
 
2.0%
50 71
 
1.3%
60 54
 
1.0%
70 33
 
0.6%
80 23
 
0.4%
90 14
 
0.3%
Other values (9) 21
 
0.4%
(Missing) 835
 
15.1%
ValueCountFrequency (%)
1 183
 
3.3%
10 2869
52.0%
20 1042
 
18.9%
30 264
 
4.8%
40 108
 
2.0%
50 71
 
1.3%
60 54
 
1.0%
70 33
 
0.6%
80 23
 
0.4%
90 14
 
0.3%
ValueCountFrequency (%)
180 2
 
< 0.1%
170 2
 
< 0.1%
160 2
 
< 0.1%
150 2
 
< 0.1%
140 2
 
< 0.1%
130 2
 
< 0.1%
120 3
 
0.1%
110 3
 
0.1%
100 3
 
0.1%
90 14
0.3%

관련통계표 설명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
<NA>
4731 
원통계표
784 
1998년자료
 
1
산업분류 8차 개정으로 1996~2006년 자료가 수록되어 있음
 
1

Length

Max length35
Median length4
Mean length4.0061628
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4731
85.8%
원통계표 784
 
14.2%
1998년자료 1
 
< 0.1%
산업분류 8차 개정으로 1996~2006년 자료가 수록되어 있음 1
 
< 0.1%

Length

2023-12-12T15:29:15.490731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:15.631805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4731
85.7%
원통계표 784
 
14.2%
1998년자료 1
 
< 0.1%
산업분류 1
 
< 0.1%
8차 1
 
< 0.1%
개정으로 1
 
< 0.1%
1996~2006년 1
 
< 0.1%
자료가 1
 
< 0.1%
수록되어 1
 
< 0.1%
있음 1
 
< 0.1%

Interactions

2023-12-12T15:29:12.616538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:15.734744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명관련통계표_기관코드순번관련통계표 설명
기관명1.0000.9990.575NaN
관련통계표_기관코드0.9991.0000.577NaN
순번0.5750.5771.0001.000
관련통계표 설명NaNNaN1.0001.000
2023-12-12T15:29:15.856382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관련통계표_기관코드관련통계표 설명기관명
관련통계표_기관코드1.0001.0000.984
관련통계표 설명1.0001.0001.000
기관명0.9841.0001.000
2023-12-12T15:29:15.988826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기관명관련통계표_기관코드관련통계표 설명
순번1.0000.2430.2421.000
기관명0.2431.0000.9841.000
관련통계표_기관코드0.2420.9841.0001.000
관련통계표 설명1.0001.0001.0001.000

Missing values

2023-12-12T15:29:12.835485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:12.967879image/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

기관명통계표번호관련통계표_기관코드관련통계표번호순번관련통계표 설명
0한국교육개발원TX_334_2009_H1006한국교육개발원DT_33403N_00110<NA>
1한국교육개발원DT_33403N_002한국교육개발원TX_334_2009_H100810<NA>
2한국교육개발원DT_33403N_001한국교육개발원TX_334_2009_H100610<NA>
3한국교육개발원DT_33403N_003한국교육개발원TX_334_2009_H100910<NA>
4한국교육개발원TX_334_2009_H1008한국교육개발원DT_33403N_00210<NA>
5한국교육개발원TX_334_2009_H1009한국교육개발원DT_33403N_00310<NA>
6중소기업중앙회DT_A10100중소기업중앙회DT_B1010010<NA>
7중소기업중앙회DT_A10108중소기업중앙회DT_J1000920<NA>
8중소기업중앙회DT_J10006중소기업중앙회DT_A1010510<NA>
9중소기업중앙회DT_J10003중소기업중앙회DT_A1010210<NA>
기관명통계표번호관련통계표_기관코드관련통계표번호순번관련통계표 설명
5507국가평생교육진흥원DT_42001N_102국가평생교육진흥원DT_42001N_020<NA><NA>
5508국가평생교육진흥원DT_42001N_102국가평생교육진흥원DT_42001N_100<NA><NA>
5509국가평생교육진흥원DT_42001N_100국가평생교육진흥원DT_42001N_015<NA><NA>
5510국가평생교육진흥원DT_42001N_100국가평생교육진흥원DT_42001N_020<NA><NA>
5511국가평생교육진흥원DT_42001N_100국가평생교육진흥원DT_42001N_101<NA><NA>
5512국가평생교육진흥원DT_42001N_100국가평생교육진흥원DT_42001N_102<NA><NA>
5513국가평생교육진흥원DT_42001N_015국가평생교육진흥원DT_42001N_100<NA><NA>
5514국가평생교육진흥원DT_42001N_015국가평생교육진흥원DT_42001N_10120<NA>
5515국가평생교육진흥원DT_42001N_101국가평생교육진흥원DT_42001N_01520<NA>
5516국가평생교육진흥원DT_42001N_101국가평생교육진흥원DT_42001N_100<NA><NA>