Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells186597
Missing cells (%)51.8%
Duplicate rows299
Duplicate rows (%)3.0%
Total size in memory3.0 MiB
Average record size in memory313.0 B

Variable types

Unsupported15
Categorical3
Boolean5
Text6
Numeric7

Dataset

Description행정안전부_지진재해대응시스템_기관_행정_공통코드는 지진재해대응시스템에 연계된 기관, 행정동, 공통코드 정보에 대한 데이터입니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15039046/fileData.do

Alerts

상황전파여부 has constant value ""Constant
Dataset has 299 (3.0%) duplicate rowsDuplicates
문서수발신이메일 is highly imbalanced (97.2%)Imbalance
대외문서처리과여부 is highly imbalanced (53.6%)Imbalance
대외문서송신여부 is highly imbalanced (59.1%)Imbalance
산번지여부 is highly imbalanced (58.1%)Imbalance
기관문서함명 is highly imbalanced (98.1%)Imbalance
행정표준코드여부 is highly imbalanced (99.3%)Imbalance
법정동코드 has 2992 (29.9%) missing valuesMissing
재난관리책임기관여부 has 10000 (100.0%) missing valuesMissing
대외문서처리과여부 has 9939 (99.4%) missing valuesMissing
대외문서송신여부 has 9939 (99.4%) missing valuesMissing
암호화용인증서내용 has 10000 (100.0%) missing valuesMissing
서명용인증서내용 has 10000 (100.0%) missing valuesMissing
행정동코드 has 9704 (97.0%) missing valuesMissing
기관장명 has 9987 (99.9%) missing valuesMissing
기관유형대분류코드 has 1468 (14.7%) missing valuesMissing
지번본번 has 4002 (40.0%) missing valuesMissing
지번부번 has 4068 (40.7%) missing valuesMissing
기관유형중분류코드 has 1606 (16.1%) missing valuesMissing
조직서열 has 1491 (14.9%) missing valuesMissing
기관구분코드 has 10000 (100.0%) missing valuesMissing
소속기관차수 has 10000 (100.0%) missing valuesMissing
수신문서심벌내용 has 10000 (100.0%) missing valuesMissing
나머지주소 has 9607 (96.1%) missing valuesMissing
기관유형소분류코드 has 2586 (25.9%) missing valuesMissing
발신자명 has 9942 (99.4%) missing valuesMissing
상황전파여부 has 9849 (98.5%) missing valuesMissing
사용그룹웨어명 has 10000 (100.0%) missing valuesMissing
무선암호화용인증서내용 has 10000 (100.0%) missing valuesMissing
무선서명용인증서내용 has 10000 (100.0%) missing valuesMissing
우편번호 has 9279 (92.8%) missing valuesMissing
법정동코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재난관리책임기관여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
암호화용인증서내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
서명용인증서내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최상위기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기관구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소속기관차수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수신문서심벌내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대표기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기관유형소분류코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
차상위기관코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사용그룹웨어명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무선암호화용인증서내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무선서명용인증서내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번본번 has 2738 (27.4%) zerosZeros
지번부번 has 4117 (41.2%) zerosZeros
조직서열 has 205 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 23:17:40.300584
Analysis finished2023-12-12 23:17:41.503595
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2992
Missing (%)29.9%
Memory size156.2 KiB

재난관리책임기관여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

문서수발신이메일
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9941 
center@gdocsj.korea.go.kr
 
54
center@gcc.korea.go.kr
 
3
center@gdocsj.korea.go
 
2

Length

Max length25
Median length4
Mean length4.1224
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9941
99.4%
center@gdocsj.korea.go.kr 54
 
0.5%
center@gcc.korea.go.kr 3
 
< 0.1%
center@gdocsj.korea.go 2
 
< 0.1%

Length

2023-12-13T08:17:41.554123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:41.640599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9941
99.4%
center@gdocsj.korea.go.kr 54
 
0.5%
center@gcc.korea.go.kr 3
 
< 0.1%
center@gdocsj.korea.go 2
 
< 0.1%

대외문서처리과여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)3.3%
Missing9939
Missing (%)99.4%
Memory size97.7 KiB
True
 
55
False
 
6
(Missing)
9939 
ValueCountFrequency (%)
True 55
 
0.5%
False 6
 
0.1%
(Missing) 9939
99.4%
2023-12-13T08:17:41.769698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대외문서송신여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)3.3%
Missing9939
Missing (%)99.4%
Memory size97.7 KiB
False
 
56
True
 
5
(Missing)
9939 
ValueCountFrequency (%)
False 56
 
0.6%
True 5
 
0.1%
(Missing) 9939
99.4%
2023-12-13T08:17:41.863789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

암호화용인증서내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전체기관명
Text

Distinct9621
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:17:42.049854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length22.2063
Min length2

Characters and Unicode

Total characters222063
Distinct characters548
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9256 ?
Unique (%)92.6%

Sample

1st row철도청 부산시설관리사무소
2nd row경기도 군포시 경제환경국 위생자원과
3rd row해양경찰청 인천해양경찰서 1002함
4th row경찰청 충청남도지방경찰청 공주경찰서 유구파출소
5th row국세청 광주지방국세청 익산세무서 개인납세과
ValueCountFrequency (%)
경찰청 2529
 
7.0%
국세청 991
 
2.8%
우정사업본부 606
 
1.7%
지식경제부 509
 
1.4%
서울특별시지방경찰청 387
 
1.1%
법무부 370
 
1.0%
인천광역시 292
 
0.8%
경기도지방경찰청 281
 
0.8%
서울지방국세청 277
 
0.8%
전라남도지방경찰청 259
 
0.7%
Other values (8183) 29381
81.9%
2023-12-13T08:17:42.441885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25884
 
11.7%
청 12565
 
5.7%
경 10879
 
4.9%
찰 8490
 
3.8%
지 7254
 
3.3%
부 6379
 
2.9%
서 5978
 
2.7%
국 5621
 
2.5%
방 5142
 
2.3%
과 4426
 
2.0%
Other values (538) 129445
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194201
87.5%
Space Separator 25884
 
11.7%
Decimal Number 1656
 
0.7%
Uppercase Letter 110
 
< 0.1%
Close Punctuation 51
 
< 0.1%
Open Punctuation 51
 
< 0.1%
Other Punctuation 49
 
< 0.1%
Dash Punctuation 31
 
< 0.1%
Lowercase Letter 26
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 12565
 
6.5%
경 10879
 
5.6%
찰 8490
 
4.4%
지 7254
 
3.7%
부 6379
 
3.3%
서 5978
 
3.1%
국 5621
 
2.9%
방 5142
 
2.6%
과 4426
 
2.3%
세 4005
 
2.1%
Other values (487) 123462
63.6%
Uppercase Letter
ValueCountFrequency (%)
P 31
28.2%
F 15
13.6%
T 11
 
10.0%
C 9
 
8.2%
I 8
 
7.3%
A 6
 
5.5%
U 5
 
4.5%
O 4
 
3.6%
E 4
 
3.6%
S 3
 
2.7%
Other values (9) 14
12.7%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
l 3
11.5%
e 3
11.5%
n 2
 
7.7%
t 2
 
7.7%
h 2
 
7.7%
r 1
 
3.8%
d 1
 
3.8%
u 1
 
3.8%
j 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
1 574
34.7%
2 462
27.9%
3 196
 
11.8%
5 89
 
5.4%
4 82
 
5.0%
0 72
 
4.3%
9 54
 
3.3%
6 52
 
3.1%
7 45
 
2.7%
8 30
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 40
81.6%
· 8
 
16.3%
, 1
 
2.0%
Space Separator
ValueCountFrequency (%)
25884
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194201
87.5%
Common 27726
 
12.5%
Latin 136
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 12565
 
6.5%
경 10879
 
5.6%
찰 8490
 
4.4%
지 7254
 
3.7%
부 6379
 
3.3%
서 5978
 
3.1%
국 5621
 
2.9%
방 5142
 
2.6%
과 4426
 
2.3%
세 4005
 
2.1%
Other values (487) 123462
63.6%
Latin
ValueCountFrequency (%)
P 31
22.8%
F 15
11.0%
T 11
 
8.1%
C 9
 
6.6%
I 8
 
5.9%
A 6
 
4.4%
o 6
 
4.4%
U 5
 
3.7%
O 4
 
2.9%
E 4
 
2.9%
Other values (23) 37
27.2%
Common
ValueCountFrequency (%)
25884
93.4%
1 574
 
2.1%
2 462
 
1.7%
3 196
 
0.7%
5 89
 
0.3%
4 82
 
0.3%
0 72
 
0.3%
9 54
 
0.2%
6 52
 
0.2%
) 51
 
0.2%
Other values (8) 210
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194200
87.5%
ASCII 27854
 
12.5%
None 8
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25884
92.9%
1 574
 
2.1%
2 462
 
1.7%
3 196
 
0.7%
5 89
 
0.3%
4 82
 
0.3%
0 72
 
0.3%
9 54
 
0.2%
6 52
 
0.2%
) 51
 
0.2%
Other values (40) 338
 
1.2%
Hangul
ValueCountFrequency (%)
청 12565
 
6.5%
경 10879
 
5.6%
찰 8490
 
4.4%
지 7254
 
3.7%
부 6379
 
3.3%
서 5978
 
3.1%
국 5621
 
2.9%
방 5142
 
2.6%
과 4426
 
2.3%
세 4005
 
2.1%
Other values (486) 123461
63.6%
None
ValueCountFrequency (%)
· 8
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

서명용인증서내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

행정동코드
Text

MISSING 

Distinct156
Distinct (%)52.7%
Missing9704
Missing (%)97.0%
Memory size156.2 KiB
2023-12-13T08:17:42.759687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.7635135
Min length1

Characters and Unicode

Total characters2298
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)38.2%

Sample

1st row28260000
2nd row41000000
3rd row26530000
4th row48000000
5th row42000000
ValueCountFrequency (%)
11110000 19
 
6.6%
48000000 14
 
4.9%
41280000 8
 
2.8%
41135000 8
 
2.8%
41000000 7
 
2.4%
50110000 6
 
2.1%
44200000 6
 
2.1%
31000000 6
 
2.1%
48110000 6
 
2.1%
50000000 5
 
1.7%
Other values (145) 201
70.3%
2023-12-13T08:17:43.210404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 984
42.8%
1 474
20.6%
4 211
 
9.2%
2 172
 
7.5%
5 108
 
4.7%
3 107
 
4.7%
8 102
 
4.4%
7 61
 
2.7%
6 43
 
1.9%
9 26
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2288
99.6%
Space Separator 10
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 984
43.0%
1 474
20.7%
4 211
 
9.2%
2 172
 
7.5%
5 108
 
4.7%
3 107
 
4.7%
8 102
 
4.5%
7 61
 
2.7%
6 43
 
1.9%
9 26
 
1.1%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2298
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 984
42.8%
1 474
20.6%
4 211
 
9.2%
2 172
 
7.5%
5 108
 
4.7%
3 107
 
4.7%
8 102
 
4.4%
7 61
 
2.7%
6 43
 
1.9%
9 26
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2298
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 984
42.8%
1 474
20.6%
4 211
 
9.2%
2 172
 
7.5%
5 108
 
4.7%
3 107
 
4.7%
8 102
 
4.4%
7 61
 
2.7%
6 43
 
1.9%
9 26
 
1.1%

기관장명
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing9987
Missing (%)99.9%
Memory size156.2 KiB
2023-12-13T08:17:43.410104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.0769231
Min length3

Characters and Unicode

Total characters79
Distinct characters40
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row인천해양경찰서장
2nd row금곡2동장
3rd row미아5동장
4th row서귀포해양경찰서장
5th row용현4동장
ValueCountFrequency (%)
인천해양경찰서장 1
 
7.7%
금곡2동장 1
 
7.7%
미아5동장 1
 
7.7%
서귀포해양경찰서장 1
 
7.7%
용현4동장 1
 
7.7%
옥수1동장 1
 
7.7%
한강로2동장 1
 
7.7%
울산해양경찰서장 1
 
7.7%
미아9동장 1
 
7.7%
논현고잔동장 1
 
7.7%
Other values (3) 3
23.1%
2023-12-13T08:17:43.758162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 13
 
16.5%
동 9
 
11.4%
해 4
 
5.1%
양 4
 
5.1%
서 4
 
5.1%
경 3
 
3.8%
찰 3
 
3.8%
인 2
 
2.5%
천 2
 
2.5%
현 2
 
2.5%
Other values (30) 33
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
92.4%
Decimal Number 6
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
17.8%
동 9
 
12.3%
해 4
 
5.5%
양 4
 
5.5%
서 4
 
5.5%
경 3
 
4.1%
찰 3
 
4.1%
인 2
 
2.7%
천 2
 
2.7%
현 2
 
2.7%
Other values (25) 27
37.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
9 1
16.7%
1 1
16.7%
4 1
16.7%
5 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
92.4%
Common 6
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
17.8%
동 9
 
12.3%
해 4
 
5.5%
양 4
 
5.5%
서 4
 
5.5%
경 3
 
4.1%
찰 3
 
4.1%
인 2
 
2.7%
천 2
 
2.7%
현 2
 
2.7%
Other values (25) 27
37.0%
Common
ValueCountFrequency (%)
2 2
33.3%
9 1
16.7%
1 1
16.7%
4 1
16.7%
5 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
92.4%
ASCII 6
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 13
17.8%
동 9
 
12.3%
해 4
 
5.5%
양 4
 
5.5%
서 4
 
5.5%
경 3
 
4.1%
찰 3
 
4.1%
인 2
 
2.7%
천 2
 
2.7%
현 2
 
2.7%
Other values (25) 27
37.0%
ASCII
ValueCountFrequency (%)
2 2
33.3%
9 1
16.7%
1 1
16.7%
4 1
16.7%
5 1
16.7%

기관유형대분류코드
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.2%
Missing1468
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean2.2003047
Minimum0
Maximum17
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:43.877971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile12
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.365283
Coefficient of variation (CV)1.5294622
Kurtosis6.6881627
Mean2.2003047
Median Absolute Deviation (MAD)0
Skewness2.8796797
Sum18773
Variance11.325129
MonotonicityNot monotonic
2023-12-13T08:17:43.984446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 6710
67.1%
2 921
 
9.2%
11 255
 
2.5%
12 189
 
1.9%
15 160
 
1.6%
3 116
 
1.2%
13 93
 
0.9%
14 73
 
0.7%
17 6
 
0.1%
6 3
 
< 0.1%
Other values (5) 6
 
0.1%
(Missing) 1468
 
14.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 6710
67.1%
2 921
 
9.2%
3 116
 
1.2%
5 1
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
11 255
 
2.5%
12 189
 
1.9%
ValueCountFrequency (%)
17 6
 
0.1%
16 1
 
< 0.1%
15 160
1.6%
14 73
 
0.7%
13 93
 
0.9%
12 189
1.9%
11 255
2.5%
10 2
 
< 0.1%
8 1
 
< 0.1%
6 3
 
< 0.1%

지번본번
Real number (ℝ)

MISSING  ZEROS 

Distinct758
Distinct (%)12.6%
Missing4002
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean220.15672
Minimum0
Maximum9235
Zeros2738
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:44.111505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3232.75
95-th percentile955.15
Maximum9235
Range9235
Interquartile range (IQR)232.75

Descriptive statistics

Standard deviation497.08075
Coefficient of variation (CV)2.2578496
Kurtosis65.656288
Mean220.15672
Median Absolute Deviation (MAD)5
Skewness6.1683884
Sum1320500
Variance247089.28
MonotonicityNot monotonic
2023-12-13T08:17:44.257301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2738
27.4%
1 202
 
2.0%
77 141
 
1.4%
920 137
 
1.4%
25 98
 
1.0%
140 51
 
0.5%
520 48
 
0.5%
108 45
 
0.4%
17 39
 
0.4%
5 39
 
0.4%
Other values (748) 2460
24.6%
(Missing) 4002
40.0%
ValueCountFrequency (%)
0 2738
27.4%
1 202
 
2.0%
2 34
 
0.3%
3 18
 
0.2%
4 4
 
< 0.1%
5 39
 
0.4%
6 5
 
0.1%
7 13
 
0.1%
8 6
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
9235 1
 
< 0.1%
7288 1
 
< 0.1%
7040 1
 
< 0.1%
7000 1
 
< 0.1%
6812 2
 
< 0.1%
6000 1
 
< 0.1%
5000 5
0.1%
4810 2
 
< 0.1%
4769 3
< 0.1%
3552 1
 
< 0.1%

지번부번
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing4068
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean0.92548887
Minimum0
Maximum9
Zeros4117
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:44.379121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8672458
Coefficient of variation (CV)2.0175778
Kurtosis5.0157261
Mean0.92548887
Median Absolute Deviation (MAD)0
Skewness2.3582175
Sum5490
Variance3.486607
MonotonicityNot monotonic
2023-12-13T08:17:44.485568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4117
41.2%
1 642
 
6.4%
2 392
 
3.9%
6 199
 
2.0%
3 175
 
1.8%
4 142
 
1.4%
5 105
 
1.1%
7 75
 
0.8%
9 47
 
0.5%
8 38
 
0.4%
(Missing) 4068
40.7%
ValueCountFrequency (%)
0 4117
41.2%
1 642
 
6.4%
2 392
 
3.9%
3 175
 
1.8%
4 142
 
1.4%
5 105
 
1.1%
6 199
 
2.0%
7 75
 
0.8%
8 38
 
0.4%
9 47
 
0.5%
ValueCountFrequency (%)
9 47
 
0.5%
8 38
 
0.4%
7 75
 
0.8%
6 199
 
2.0%
5 105
 
1.1%
4 142
 
1.4%
3 175
 
1.8%
2 392
 
3.9%
1 642
 
6.4%
0 4117
41.2%

기관유형중분류코드
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.2%
Missing1606
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean10.327138
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:44.597407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q38
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation21.224051
Coefficient of variation (CV)2.0551725
Kurtosis13.283867
Mean10.327138
Median Absolute Deviation (MAD)2
Skewness3.8794369
Sum86686
Variance450.46035
MonotonicityNot monotonic
2023-12-13T08:17:44.698102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 3165
31.6%
8 2153
21.5%
5 770
 
7.7%
1 707
 
7.1%
9 501
 
5.0%
99 385
 
3.9%
7 249
 
2.5%
2 181
 
1.8%
3 127
 
1.3%
98 66
 
0.7%
Other values (5) 90
 
0.9%
(Missing) 1606
16.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 707
 
7.1%
2 181
 
1.8%
3 127
 
1.3%
4 3165
31.6%
5 770
 
7.7%
6 63
 
0.6%
7 249
 
2.5%
8 2153
21.5%
9 501
 
5.0%
ValueCountFrequency (%)
99 385
 
3.9%
98 66
 
0.7%
17 4
 
< 0.1%
11 1
 
< 0.1%
10 21
 
0.2%
9 501
 
5.0%
8 2153
21.5%
7 249
 
2.5%
6 63
 
0.6%
5 770
 
7.7%

산번지여부
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5988 
<NA>
3839 
1
 
158
9
 
12
6
 
2

Length

Max length4
Median length1
Mean length2.1517
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 5988
59.9%
<NA> 3839
38.4%
1 158
 
1.6%
9 12
 
0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%

Length

2023-12-13T08:17:44.831414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:44.958677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5988
59.9%
na 3839
38.4%
1 158
 
1.6%
9 12
 
0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%

최상위기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

조직차수
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6038
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:45.300747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.77542613
Coefficient of variation (CV)0.21516903
Kurtosis0.45604913
Mean3.6038
Median Absolute Deviation (MAD)1
Skewness-0.018858154
Sum36038
Variance0.60128569
MonotonicityNot monotonic
2023-12-13T08:17:45.413571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 4977
49.8%
3 3477
34.8%
5 723
 
7.2%
2 691
 
6.9%
6 114
 
1.1%
1 18
 
0.2%
ValueCountFrequency (%)
1 18
 
0.2%
2 691
 
6.9%
3 3477
34.8%
4 4977
49.8%
5 723
 
7.2%
6 114
 
1.1%
ValueCountFrequency (%)
6 114
 
1.1%
5 723
 
7.2%
4 4977
49.8%
3 3477
34.8%
2 691
 
6.9%
1 18
 
0.2%

조직서열
Real number (ℝ)

MISSING  ZEROS 

Distinct267
Distinct (%)3.1%
Missing1491
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean16.455753
Minimum0
Maximum997
Zeros205
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:45.532746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q311
95-th percentile79
Maximum997
Range997
Interquartile range (IQR)10

Descriptive statistics

Standard deviation49.028393
Coefficient of variation (CV)2.9794075
Kurtosis121.23001
Mean16.455753
Median Absolute Deviation (MAD)3
Skewness8.9752019
Sum140022
Variance2403.7833
MonotonicityNot monotonic
2023-12-13T08:17:45.690907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2097
21.0%
2 848
 
8.5%
3 746
 
7.5%
4 499
 
5.0%
5 409
 
4.1%
6 366
 
3.7%
7 326
 
3.3%
8 298
 
3.0%
9 255
 
2.5%
10 216
 
2.2%
Other values (257) 2449
24.5%
(Missing) 1491
14.9%
ValueCountFrequency (%)
0 205
 
2.1%
1 2097
21.0%
2 848
8.5%
3 746
 
7.5%
4 499
 
5.0%
5 409
 
4.1%
6 366
 
3.7%
7 326
 
3.3%
8 298
 
3.0%
9 255
 
2.5%
ValueCountFrequency (%)
997 1
< 0.1%
934 1
< 0.1%
900 2
< 0.1%
893 1
< 0.1%
766 1
< 0.1%
764 1
< 0.1%
758 1
< 0.1%
757 1
< 0.1%
755 1
< 0.1%
699 1
< 0.1%

기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

기관문서함명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9940 
10.183.141.2;SVR1320000001;S;E
 
45
211.182.252.100;SVR7150570003;X;E;EDU
 
4
106.0.2.125;SVR6420283003;S;B
 
4
10.184.29.57;SVR1371075017;D;B
 
2
Other values (5)
 
5

Length

Max length37
Median length4
Mean length4.1598
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9940
99.4%
10.183.141.2;SVR1320000001;S;E 45
 
0.4%
211.182.252.100;SVR7150570003;X;E;EDU 4
 
< 0.1%
106.0.2.125;SVR6420283003;S;B 4
 
< 0.1%
10.184.29.57;SVR1371075017;D;B 2
 
< 0.1%
121.187.158.134;SVR7800000022;X;E;EDU 1
 
< 0.1%
10.46.145.115;SVR1341000002;D;E;EDU 1
 
< 0.1%
99.14.1.5;SVR3370000001;D;B 1
 
< 0.1%
125.60.56.52;SVR1310566002;E;E 1
 
< 0.1%
10.46.145.117;SVR1341000002;D;B;EDU 1
 
< 0.1%

Length

2023-12-13T08:17:45.856370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:45.972873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9940
99.4%
10.183.141.2;svr1320000001;s;e 45
 
0.4%
211.182.252.100;svr7150570003;x;e;edu 4
 
< 0.1%
106.0.2.125;svr6420283003;s;b 4
 
< 0.1%
10.184.29.57;svr1371075017;d;b 2
 
< 0.1%
121.187.158.134;svr7800000022;x;e;edu 1
 
< 0.1%
10.46.145.115;svr1341000002;d;e;edu 1
 
< 0.1%
99.14.1.5;svr3370000001;d;b 1
 
< 0.1%
125.60.56.52;svr1310566002;e;e 1
 
< 0.1%
10.46.145.117;svr1341000002;d;b;edu 1
 
< 0.1%

기관명
Text

Distinct5964
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:17:46.316713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length5.3462
Min length2

Characters and Unicode

Total characters53462
Distinct characters543
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4932 ?
Unique (%)49.3%

Sample

1st row부산시설관리사무소
2nd row위생자원과
3rd row1002함
4th row유구파출소
5th row개인납세과
ValueCountFrequency (%)
총무과 125
 
1.2%
수사과 95
 
0.9%
보안과 71
 
0.7%
경무과 70
 
0.7%
법인세과 67
 
0.7%
정보과 64
 
0.6%
형사과 63
 
0.6%
재산세과 57
 
0.6%
경비교통과 53
 
0.5%
경비과 53
 
0.5%
Other values (5960) 9289
92.8%
2023-12-13T08:17:46.822252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4145
 
7.8%
소 1915
 
3.6%
관 1465
 
2.7%
출 1369
 
2.6%
사 1363
 
2.5%
파 1267
 
2.4%
지 1124
 
2.1%
정 1081
 
2.0%
원 1030
 
1.9%
교 963
 
1.8%
Other values (533) 37740
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51801
96.9%
Decimal Number 1389
 
2.6%
Uppercase Letter 73
 
0.1%
Open Punctuation 52
 
0.1%
Close Punctuation 52
 
0.1%
Dash Punctuation 31
 
0.1%
Other Punctuation 26
 
< 0.1%
Lowercase Letter 26
 
< 0.1%
Space Separator 8
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4145
 
8.0%
소 1915
 
3.7%
관 1465
 
2.8%
출 1369
 
2.6%
사 1363
 
2.6%
파 1267
 
2.4%
지 1124
 
2.2%
정 1081
 
2.1%
원 1030
 
2.0%
교 963
 
1.9%
Other values (484) 36079
69.6%
Uppercase Letter
ValueCountFrequency (%)
P 30
41.1%
F 7
 
9.6%
C 7
 
9.6%
T 7
 
9.6%
I 4
 
5.5%
E 3
 
4.1%
G 2
 
2.7%
S 2
 
2.7%
A 2
 
2.7%
O 2
 
2.7%
Other values (7) 7
 
9.6%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 3
11.5%
l 3
11.5%
t 2
 
7.7%
h 2
 
7.7%
n 2
 
7.7%
u 1
 
3.8%
j 1
 
3.8%
c 1
 
3.8%
a 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
1 479
34.5%
2 378
27.2%
3 167
 
12.0%
5 78
 
5.6%
0 62
 
4.5%
4 61
 
4.4%
6 48
 
3.5%
9 46
 
3.3%
7 42
 
3.0%
8 28
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 20
76.9%
· 5
 
19.2%
, 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51801
96.9%
Common 1562
 
2.9%
Latin 99
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4145
 
8.0%
소 1915
 
3.7%
관 1465
 
2.8%
출 1369
 
2.6%
사 1363
 
2.6%
파 1267
 
2.4%
지 1124
 
2.2%
정 1081
 
2.1%
원 1030
 
2.0%
교 963
 
1.9%
Other values (484) 36079
69.6%
Latin
ValueCountFrequency (%)
P 30
30.3%
F 7
 
7.1%
C 7
 
7.1%
T 7
 
7.1%
o 6
 
6.1%
I 4
 
4.0%
E 3
 
3.0%
e 3
 
3.0%
l 3
 
3.0%
t 2
 
2.0%
Other values (21) 27
27.3%
Common
ValueCountFrequency (%)
1 479
30.7%
2 378
24.2%
3 167
 
10.7%
5 78
 
5.0%
0 62
 
4.0%
4 61
 
3.9%
( 52
 
3.3%
) 52
 
3.3%
6 48
 
3.1%
9 46
 
2.9%
Other values (8) 139
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51800
96.9%
ASCII 1656
 
3.1%
None 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4145
 
8.0%
소 1915
 
3.7%
관 1465
 
2.8%
출 1369
 
2.6%
사 1363
 
2.6%
파 1267
 
2.4%
지 1124
 
2.2%
정 1081
 
2.1%
원 1030
 
2.0%
교 963
 
1.9%
Other values (483) 36078
69.6%
ASCII
ValueCountFrequency (%)
1 479
28.9%
2 378
22.8%
3 167
 
10.1%
5 78
 
4.7%
0 62
 
3.7%
4 61
 
3.7%
( 52
 
3.1%
) 52
 
3.1%
6 48
 
2.9%
9 46
 
2.8%
Other values (38) 233
14.1%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

기관구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소속기관차수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

수신문서심벌내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

대표기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing4
Missing (%)< 0.1%
Memory size156.2 KiB

나머지주소
Text

MISSING 

Distinct149
Distinct (%)37.9%
Missing9607
Missing (%)96.1%
Memory size156.2 KiB
2023-12-13T08:17:47.060170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length6.8473282
Min length1

Characters and Unicode

Total characters2691
Distinct characters180
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)27.0%

Sample

1st row정부서울청사
2nd row정부중앙청사
3rd row정부세종로청사별관
4th row수도권기상청
5th row기상청
ValueCountFrequency (%)
정부중앙청사 48
 
9.6%
정부대전청사 28
 
5.6%
정부세종청사 23
 
4.6%
정부세종로청사별관 21
 
4.2%
정부과천청사 16
 
3.2%
중앙청사별관 13
 
2.6%
과천청사 12
 
2.4%
정부서울청사 11
 
2.2%
정부세종로청사 9
 
1.8%
997 8
 
1.6%
Other values (183) 309
62.0%
2023-12-13T08:17:47.447536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 245
 
9.1%
사 214
 
8.0%
정 174
 
6.5%
부 173
 
6.4%
128
 
4.8%
중 70
 
2.6%
앙 62
 
2.3%
관 59
 
2.2%
1 56
 
2.1%
동 55
 
2.0%
Other values (170) 1455
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2300
85.5%
Decimal Number 224
 
8.3%
Space Separator 128
 
4.8%
Dash Punctuation 17
 
0.6%
Uppercase Letter 7
 
0.3%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 245
 
10.7%
사 214
 
9.3%
정 174
 
7.6%
부 173
 
7.5%
중 70
 
3.0%
앙 62
 
2.7%
관 59
 
2.6%
동 55
 
2.4%
세 54
 
2.3%
종 54
 
2.3%
Other values (152) 1140
49.6%
Decimal Number
ValueCountFrequency (%)
1 56
25.0%
3 27
12.1%
9 24
10.7%
7 24
10.7%
2 22
 
9.8%
4 21
 
9.4%
6 13
 
5.8%
5 13
 
5.8%
0 12
 
5.4%
8 12
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
T 3
42.9%
K 3
42.9%
F 1
 
14.3%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2300
85.5%
Common 384
 
14.3%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 245
 
10.7%
사 214
 
9.3%
정 174
 
7.6%
부 173
 
7.5%
중 70
 
3.0%
앙 62
 
2.7%
관 59
 
2.6%
동 55
 
2.4%
세 54
 
2.3%
종 54
 
2.3%
Other values (152) 1140
49.6%
Common
ValueCountFrequency (%)
128
33.3%
1 56
14.6%
3 27
 
7.0%
9 24
 
6.2%
7 24
 
6.2%
2 22
 
5.7%
4 21
 
5.5%
- 17
 
4.4%
6 13
 
3.4%
5 13
 
3.4%
Other values (5) 39
 
10.2%
Latin
ValueCountFrequency (%)
T 3
42.9%
K 3
42.9%
F 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2300
85.5%
ASCII 391
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 245
 
10.7%
사 214
 
9.3%
정 174
 
7.6%
부 173
 
7.5%
중 70
 
3.0%
앙 62
 
2.7%
관 59
 
2.6%
동 55
 
2.4%
세 54
 
2.3%
종 54
 
2.3%
Other values (152) 1140
49.6%
ASCII
ValueCountFrequency (%)
128
32.7%
1 56
14.3%
3 27
 
6.9%
9 24
 
6.1%
7 24
 
6.1%
2 22
 
5.6%
4 21
 
5.4%
- 17
 
4.3%
6 13
 
3.3%
5 13
 
3.3%
Other values (8) 46
 
11.8%

기관유형소분류코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2586
Missing (%)25.9%
Memory size156.2 KiB

차상위기관코드
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

발신자명
Text

MISSING 

Distinct46
Distinct (%)79.3%
Missing9942
Missing (%)99.4%
Memory size156.2 KiB
2023-12-13T08:17:47.709386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length6.6896552
Min length4

Characters and Unicode

Total characters388
Distinct characters102
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)70.7%

Sample

1st row군자파출소장
2nd row체육정책과장
3rd row지역사회협력과장
4th row부속기관장
5th row국제관광기획과장
ValueCountFrequency (%)
여성청소년과장 5
 
7.5%
1제대장 4
 
6.0%
경무과장 4
 
6.0%
3기동대 3
 
4.5%
청문감사관 3
 
4.5%
경비교통과장 3
 
4.5%
2제대장 3
 
4.5%
형사과장 2
 
3.0%
1기동대 2
 
3.0%
5기동대 2
 
3.0%
Other values (36) 36
53.7%
2023-12-13T08:17:48.062406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 55
 
14.2%
대 23
 
5.9%
과 23
 
5.9%
소 19
 
4.9%
파 12
 
3.1%
출 12
 
3.1%
기 11
 
2.8%
동 11
 
2.8%
1 10
 
2.6%
9
 
2.3%
Other values (92) 203
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
91.0%
Decimal Number 26
 
6.7%
Space Separator 9
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 55
 
15.6%
대 23
 
6.5%
과 23
 
6.5%
소 19
 
5.4%
파 12
 
3.4%
출 12
 
3.4%
기 11
 
3.1%
동 11
 
3.1%
제 9
 
2.5%
지 8
 
2.3%
Other values (84) 170
48.2%
Decimal Number
ValueCountFrequency (%)
1 10
38.5%
2 6
23.1%
3 5
19.2%
5 2
 
7.7%
0 1
 
3.8%
8 1
 
3.8%
4 1
 
3.8%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
91.0%
Common 35
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 55
 
15.6%
대 23
 
6.5%
과 23
 
6.5%
소 19
 
5.4%
파 12
 
3.4%
출 12
 
3.4%
기 11
 
3.1%
동 11
 
3.1%
제 9
 
2.5%
지 8
 
2.3%
Other values (84) 170
48.2%
Common
ValueCountFrequency (%)
1 10
28.6%
9
25.7%
2 6
17.1%
3 5
14.3%
5 2
 
5.7%
0 1
 
2.9%
8 1
 
2.9%
4 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
91.0%
ASCII 35
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 55
 
15.6%
대 23
 
6.5%
과 23
 
6.5%
소 19
 
5.4%
파 12
 
3.4%
출 12
 
3.4%
기 11
 
3.1%
동 11
 
3.1%
제 9
 
2.5%
지 8
 
2.3%
Other values (84) 170
48.2%
ASCII
ValueCountFrequency (%)
1 10
28.6%
9
25.7%
2 6
17.1%
3 5
14.3%
5 2
 
5.7%
0 1
 
2.9%
8 1
 
2.9%
4 1
 
2.9%

행정표준코드여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing67
Missing (%)0.7%
Memory size97.7 KiB
True
9927 
False
 
6
(Missing)
 
67
ValueCountFrequency (%)
True 9927
99.3%
False 6
 
0.1%
(Missing) 67
 
0.7%
2023-12-13T08:17:48.171037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상황전파여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.7%
Missing9849
Missing (%)98.5%
Memory size97.7 KiB
True
 
151
(Missing)
9849 
ValueCountFrequency (%)
True 151
 
1.5%
(Missing) 9849
98.5%
2023-12-13T08:17:48.249381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing67
Missing (%)0.7%
Memory size97.7 KiB
False
7494 
True
2439 
(Missing)
 
67
ValueCountFrequency (%)
False 7494
74.9%
True 2439
 
24.4%
(Missing) 67
 
0.7%
2023-12-13T08:17:48.325920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용그룹웨어명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

무선암호화용인증서내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

무선서명용인증서내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

우편번호
Real number (ℝ)

MISSING 

Distinct486
Distinct (%)67.4%
Missing9279
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean30399.017
Minimum1177
Maximum63568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:17:48.420188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1177
5-th percentile3050
Q112749
median30109
Q348075
95-th percentile58829
Maximum63568
Range62391
Interquartile range (IQR)35326

Descriptive statistics

Standard deviation19006.839
Coefficient of variation (CV)0.62524521
Kurtosis-1.2653353
Mean30399.017
Median Absolute Deviation (MAD)17606
Skewness0.0027042039
Sum21917691
Variance3.6125995 × 108
MonotonicityNot monotonic
2023-12-13T08:17:48.544046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3048 21
 
0.2%
30064 20
 
0.2%
3050 17
 
0.2%
30109 14
 
0.1%
3171 13
 
0.1%
22346 12
 
0.1%
30107 11
 
0.1%
35208 9
 
0.1%
46083 8
 
0.1%
58746 7
 
0.1%
Other values (476) 589
 
5.9%
(Missing) 9279
92.8%
ValueCountFrequency (%)
1177 3
< 0.1%
1334 1
 
< 0.1%
1415 3
< 0.1%
1752 1
 
< 0.1%
2055 1
 
< 0.1%
2465 1
 
< 0.1%
2797 1
 
< 0.1%
2837 1
 
< 0.1%
3043 1
 
< 0.1%
3047 1
 
< 0.1%
ValueCountFrequency (%)
63568 2
< 0.1%
63565 1
< 0.1%
63278 1
< 0.1%
63219 1
< 0.1%
62382 1
< 0.1%
62368 1
< 0.1%
61956 1
< 0.1%
61945 1
< 0.1%
61484 2
< 0.1%
61114 1
< 0.1%

Sample

법정동코드재난관리책임기관여부문서수발신이메일대외문서처리과여부대외문서송신여부암호화용인증서내용전체기관명서명용인증서내용행정동코드기관장명기관유형대분류코드지번본번지번부번기관유형중분류코드산번지여부최상위기관코드조직차수조직서열기관코드기관문서함명기관명기관구분코드소속기관차수수신문서심벌내용대표기관코드나머지주소기관유형소분류코드차상위기관코드발신자명행정표준코드여부상황전파여부사용여부사용그룹웨어명무선암호화용인증서내용무선서명용인증서내용우편번호
55052617010100<NA><NA><NA><NA><NA>철도청 부산시설관리사무소<NA><NA><NA>1007015100002311512593<NA>부산시설관리사무소<NA><NA><NA>1510000<NA>71510000<NA>Y<NA>N<NA><NA><NA><NA>
229994100000000<NA><NA><NA><NA><NA>경기도 군포시 경제환경국 위생자원과<NA><NA><NA>2844<NA>9064100004104020121<NA>위생자원과<NA><NA><NA>4020000<NA>54020051<NA>Y<NA>N<NA><NA><NA><NA>
169942811013800<NA><NA><NA><NA><NA>해양경찰청 인천해양경찰서 1002함<NA><NA><NA>140299015300003231531417<NA>1002함<NA><NA><NA>1530000<NA>NaN1531398<NA>Y<NA>N<NA><NA><NA><NA>
480784415025023.0<NA><NA><NA><NA><NA>경찰청 충청남도지방경찰청 공주경찰서 유구파출소<NA><NA><NA>12103801320000481325158<NA>유구파출소<NA><NA><NA>1320000<NA>3.01325145<NA>Y<NA>N<NA><NA><NA><NA>
51365NaN<NA><NA><NA><NA><NA>국세청 광주지방국세청 익산세무서 개인납세과<NA><NA><NA>1<NA><NA>8<NA>1210000421214471<NA>개인납세과<NA><NA><NA>1210000<NA>2.01211307<NA>Y<NA>Y<NA><NA><NA>54619
52372911012200<NA><NA><NA><NA><NA>경찰청 전라남도지방경찰청 광주동부경찰서 학서파출소<NA><NA><NA>110368013200004171329174<NA>학서파출소<NA><NA><NA>1320000<NA>31327405<NA>Y<NA>N<NA><NA><NA><NA>
50144NaN<NA><NA><NA><NA><NA>안전행정부 의정관<NA><NA><NA>1<NA><NA>5<NA>1312000271312016<NA>의정관<NA><NA><NA>1312000정부서울청사2.01312000<NA>Y<NA>N<NA><NA><NA><NA>
1969828170<NA><NA><NA><NA><NA>인천광역시 남구 주민생활지원국 복지평생교육과<NA><NA><NA>2<NA><NA>206280000413510082<NA>복지평생교육과<NA><NA><NA>3510000<NA>43510080<NA>Y<NA>N<NA><NA><NA><NA>
333131100000000.0<NA><NA><NA><NA><NA>법제처 경제법제국 법제관4<NA><NA><NA>1770401170000341170058<NA>법제관4<NA><NA><NA>1170000정부중앙청사7.01170035<NA>Y<NA>Y<NA><NA><NA><NA>
734914129010700.0<NA><NA><NA><NA><NA>지식경제부 우정사업본부 전남지방우정청 서광주우체국 경영지도실<NA><NA><NA>1<NA><NA>4<NA>1411000541418955<NA>경영지도실<NA><NA><NA>1411000<NA>7.01418948<NA>Y<NA>N<NA><NA><NA><NA>
법정동코드재난관리책임기관여부문서수발신이메일대외문서처리과여부대외문서송신여부암호화용인증서내용전체기관명서명용인증서내용행정동코드기관장명기관유형대분류코드지번본번지번부번기관유형중분류코드산번지여부최상위기관코드조직차수조직서열기관코드기관문서함명기관명기관구분코드소속기관차수수신문서심벌내용대표기관코드나머지주소기관유형소분류코드차상위기관코드발신자명행정표준코드여부상황전파여부사용여부사용그룹웨어명무선암호화용인증서내용무선서명용인증서내용우편번호
385811111011900.0<NA><NA><NA><NA><NA>국무총리비서실 정무수석비서관 정당비서관<NA><NA><NA>17769901100000311100028<NA>정당비서관<NA><NA><NA>1100000정부중앙청사 914호NaN1100010<NA>Y<NA>N<NA><NA><NA><NA>
130884129010700<NA><NA><NA><NA><NA>지식경제부 우정사업본부 충청체신청 보은우체국 보은산외우체국<NA><NA><NA>1<NA><NA>8<NA>14110005121413554<NA>보은산외우체국<NA><NA><NA>1411000<NA>41413542<NA>Y<NA>N<NA><NA><NA><NA>
151064129010700<NA><NA><NA><NA><NA>지식경제부 우정사업본부 부산체신청 사천우체국 곤양우체국<NA><NA><NA>1<NA><NA>8<NA>1411000541412804<NA>곤양우체국<NA><NA><NA>1411000<NA>41412800<NA>Y<NA>N<NA><NA><NA><NA>
102284129010700<NA><NA><NA><NA><NA>지식경제부 우정사업본부 부산지방우정청 합천우체국 묘산우체국<NA><NA><NA>1<NA><NA>8<NA>14110005101418234<NA>묘산우체국<NA><NA><NA>1411000<NA>41418224<NA>Y<NA>N<NA><NA><NA><NA>
11226NaN<NA>center@gdocsj.korea.go.krYN<NA>경찰청 경기도남부지방경찰청 시흥경찰서 경비교통과<NA><NA><NA>1<NA><NA>4<NA>132000048133733210.183.141.2;SVR1320000001;S;E경비교통과<NA><NA><NA>1320000<NA>NaN1337324경비교통과장<NA><NA><NA><NA><NA><NA><NA>
678534129010700.0<NA><NA><NA><NA><NA>지식경제부 우정사업본부 서울지방우정청 서울강서우체국 화곡우체국<NA><NA><NA>1<NA><NA>8<NA>1411000581416886<NA>화곡우체국<NA><NA><NA>1411000<NA>4.01416875<NA>Y<NA>N<NA><NA><NA><NA>
490551100000000.0<NA><NA><NA><NA><NA>경찰청 서울특별시지방경찰청 서울서부경찰서 녹번지구대<NA><NA><NA>1<NA><NA>8<NA>1320000471331441<NA>녹번지구대<NA><NA><NA>1320000<NA>3.01329564<NA>Y<NA>N<NA><NA><NA><NA>
348201111014000.0<NA><NA><NA><NA><NA>감사원 특별조사본부 대전사무소<NA><NA><NA>1252401040000311040289<NA>대전사무소<NA><NA><NA>1040000<NA>8.01040287<NA>Y<NA>N<NA><NA><NA><NA>
44939NaN<NA><NA><NA><NA><NA>국세청 부산지방국세청 금정세무서 법인세과<NA><NA><NA><NA><NA><NA><NA><NA>12100004<NA>1211998<NA>법인세과<NA><NA><NA>1210000<NA>NaN1211994<NA>Y<NA>N<NA><NA><NA><NA>
31294NaN<NA><NA><NA><NA><NA>경기도교육청 경기도고양교육지원청 신촌초등학교<NA><NA><NA>12<NA><NA>1<NA>75300003727621078<NA>신촌초등학교<NA><NA><NA>7621000<NA>27621000<NA>Y<NA>Y<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

문서수발신이메일대외문서처리과여부대외문서송신여부전체기관명행정동코드기관장명기관유형대분류코드지번본번지번부번기관유형중분류코드산번지여부조직차수조직서열기관문서함명기관명나머지주소발신자명행정표준코드여부상황전파여부사용여부우편번호# duplicates
147<NA><NA><NA>국세청 서울지방국세청 광화문세무서 원천세과<NA><NA><NA><NA><NA><NA><NA>4<NA><NA>원천세과<NA><NA>Y<NA>N<NA>3
232<NA><NA><NA>법제처 행정심판관리관<NA><NA><NA><NA><NA><NA><NA>2<NA><NA>행정심판관리관<NA><NA>Y<NA>N<NA>3
0<NA><NA><NA>감사원 감사청구조사국 조사1과<NA><NA>12524031<NA>조사1과<NA><NA>Y<NA>Y30502
1<NA><NA><NA>감사원 감사청구조사국 조사3과<NA><NA>12524034<NA>조사3과<NA><NA>Y<NA>N<NA>2
2<NA><NA><NA>감사원 감사청구조사단 감사청구조사팀<NA><NA>12524031<NA>감사청구조사팀<NA><NA>Y<NA>N<NA>2
3<NA><NA><NA>감사원 기획관리실 법무심사관 조정제1심의관<NA><NA>12525041<NA>조정제1심의관<NA><NA>Y<NA>N<NA>2
4<NA><NA><NA>감사원 사회문화감사국 제1과<NA><NA>1<NA><NA>4<NA>31<NA>제1과<NA><NA>Y<NA>N<NA>2
5<NA><NA><NA>감사원 제5국 대전사무소<NA><NA>192008038<NA>대전사무소<NA><NA>Y<NA>N<NA>2
6<NA><NA><NA>감사원 제6국 제5과<NA><NA>12524035<NA>제5과<NA><NA>Y<NA>N<NA>2
7<NA><NA><NA>감사원 특별조사본부 공직감찰심의관<NA><NA>12525031<NA>공직감찰심의관<NA><NA>Y<NA>N<NA>2