Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells19966
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory195.0 B

Variable types

DateTime4
Text7
Numeric9
Categorical2

Dataset

Description(국민연금가입수급정보) 법정동단위 지역별, 국민연금 가입 사업장 정보* 단, 개인사업장 및 2인 이하 법인 사업장 정보 미제공*사업장 컬럼별 상세설명○ 자료생성년월 → 자격마감일(사유발생일이 속하는 달의 다음달 15일)까지 신고분 반영○ 가입자 수 → 가입자 수(고지인원 수 포함)○ 당월고지금액 → 국민연금법 시행령 제5조에 의거 기준소득월액 상한액 적용으로 실제소득과 고지금액은 상이할 수 있음■상한액 2019.7. ~ 2020.6. 4,860,000원■상한액 2020.7. ~ 2021.6. 5,030,000원■상한액 2021.7. ~ 2022.6. 5,240,000원■상한액 2022.7. ~ 2023.6. 5,530,000원■상한액 2023.7. ~ 2024.7. 5,900,000원○ 신규취득자수 → 납부재개 포함 ※전달 고지대상자와 비교하므로 실제 취득자수와 상이할 수 있음(초일 취득이 아닌 경우 당월 미고지되면 다음 달 취득자 수에 반영)○ 상실가입자수 → 납부예외 포함. ※해당 자료추출월과 익월을 비교하여 자료추출월에는 고지가 있으나 익월에는 고지가 없는 대상자에 대한 건수를 제공하므로 실제 상실자 수와 상이할 수 있음(초일이 아닌 상실자는 다음달 상실자 수에 반영)
Author국민연금공단
URLhttps://www.data.go.kr/data/15083277/fileData.do

Alerts

자료생성년월 has constant value ""Constant
사업장형태구분코드 1 법인 2 개인 has constant value ""Constant
사업장가입상태코드 1 등록 2 탈퇴 is highly imbalanced (95.9%)Imbalance
사업장업종코드명 has 342 (3.4%) missing valuesMissing
재등록일자 has 9668 (96.7%) missing valuesMissing
탈퇴일자 has 9956 (99.6%) missing valuesMissing
가입자수 is highly skewed (γ1 = 93.27678883)Skewed
당월고지금액 is highly skewed (γ1 = 95.79224296)Skewed
신규취득자수 is highly skewed (γ1 = 76.48428394)Skewed
상실가입자수 is highly skewed (γ1 = 48.73649891)Skewed
신규취득자수 has 7214 (72.1%) zerosZeros
상실가입자수 has 7083 (70.8%) zerosZeros

Reproduction

Analysis started2024-04-21 01:56:08.307439
Analysis finished2024-04-21 01:56:09.969339
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료생성년월
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-01 00:00:00
Maximum2024-03-01 00:00:00
2024-04-21T10:56:10.021330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:10.103041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사업장명
Text

Distinct9931
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:10.399549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length8.7112
Min length3

Characters and Unicode

Total characters87112
Distinct characters841
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9865 ?
Unique (%)98.7%

Sample

1st row경주문화원
2nd row동건전력(주)
3rd row삼부정공사(주)
4th row(주)투-에스
5th row광장주류판매(주)
ValueCountFrequency (%)
주식회사 561
 
5.1%
주 101
 
0.9%
유한회사 34
 
0.3%
농업회사법인 14
 
0.1%
어린이집 14
 
0.1%
사단법인 13
 
0.1%
사회복지법인 11
 
0.1%
합자회사 10
 
0.1%
재단법인 9
 
0.1%
의료법인 8
 
0.1%
Other values (10145) 10274
93.0%
2024-04-21T10:56:10.854780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8265
 
9.5%
( 6938
 
8.0%
) 6925
 
7.9%
이 2236
 
2.6%
사 2148
 
2.5%
회 1771
 
2.0%
스 1688
 
1.9%
식 1322
 
1.5%
1102
 
1.3%
건 1091
 
1.3%
Other values (831) 53626
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70881
81.4%
Close Punctuation 7246
 
8.3%
Open Punctuation 7233
 
8.3%
Space Separator 1102
 
1.3%
Uppercase Letter 362
 
0.4%
Decimal Number 139
 
0.2%
Other Punctuation 72
 
0.1%
Lowercase Letter 63
 
0.1%
Dash Punctuation 12
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8265
 
11.7%
이 2236
 
3.2%
사 2148
 
3.0%
회 1771
 
2.5%
스 1688
 
2.4%
식 1322
 
1.9%
건 1091
 
1.5%
아 947
 
1.3%
지 937
 
1.3%
한 935
 
1.3%
Other values (765) 49541
69.9%
Uppercase Letter
ValueCountFrequency (%)
C 38
 
10.5%
S 32
 
8.8%
E 31
 
8.6%
T 27
 
7.5%
N 25
 
6.9%
I 22
 
6.1%
A 20
 
5.5%
B 17
 
4.7%
M 16
 
4.4%
G 16
 
4.4%
Other values (14) 118
32.6%
Lowercase Letter
ValueCountFrequency (%)
o 11
17.5%
n 9
14.3%
e 7
11.1%
t 7
11.1%
d 5
7.9%
a 4
 
6.3%
c 3
 
4.8%
s 3
 
4.8%
p 2
 
3.2%
m 2
 
3.2%
Other values (7) 10
15.9%
Decimal Number
ValueCountFrequency (%)
2 37
26.6%
1 33
23.7%
3 19
13.7%
5 12
 
8.6%
6 10
 
7.2%
7 7
 
5.0%
4 6
 
4.3%
9 6
 
4.3%
0 5
 
3.6%
8 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 50
69.4%
& 9
 
12.5%
/ 7
 
9.7%
． 3
 
4.2%
· 2
 
2.8%
: 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 6938
95.9%
（ 295
 
4.1%
Close Punctuation
ValueCountFrequency (%)
) 6925
95.6%
） 321
 
4.4%
Space Separator
ValueCountFrequency (%)
1102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70880
81.4%
Common 15805
 
18.1%
Latin 425
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8265
 
11.7%
이 2236
 
3.2%
사 2148
 
3.0%
회 1771
 
2.5%
스 1688
 
2.4%
식 1322
 
1.9%
건 1091
 
1.5%
아 947
 
1.3%
지 937
 
1.3%
한 935
 
1.3%
Other values (764) 49540
69.9%
Latin
ValueCountFrequency (%)
C 38
 
8.9%
S 32
 
7.5%
E 31
 
7.3%
T 27
 
6.4%
N 25
 
5.9%
I 22
 
5.2%
A 20
 
4.7%
B 17
 
4.0%
M 16
 
3.8%
G 16
 
3.8%
Other values (31) 181
42.6%
Common
ValueCountFrequency (%)
( 6938
43.9%
) 6925
43.8%
1102
 
7.0%
） 321
 
2.0%
（ 295
 
1.9%
. 50
 
0.3%
2 37
 
0.2%
1 33
 
0.2%
3 19
 
0.1%
5 12
 
0.1%
Other values (14) 73
 
0.5%
Han
ValueCountFrequency (%)
垣 1
50.0%
佳 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70879
81.4%
ASCII 15608
 
17.9%
None 623
 
0.7%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8265
 
11.7%
이 2236
 
3.2%
사 2148
 
3.0%
회 1771
 
2.5%
스 1688
 
2.4%
식 1322
 
1.9%
건 1091
 
1.5%
아 947
 
1.3%
지 937
 
1.3%
한 935
 
1.3%
Other values (763) 49539
69.9%
ASCII
ValueCountFrequency (%)
( 6938
44.5%
) 6925
44.4%
1102
 
7.1%
. 50
 
0.3%
C 38
 
0.2%
2 37
 
0.2%
1 33
 
0.2%
S 32
 
0.2%
E 31
 
0.2%
T 27
 
0.2%
Other values (50) 395
 
2.5%
None
ValueCountFrequency (%)
） 321
51.5%
（ 295
47.4%
． 3
 
0.5%
· 2
 
0.3%
４ 1
 
0.2%
㈜ 1
 
0.2%
CJK
ValueCountFrequency (%)
垣 1
50.0%
佳 1
50.0%

사업자등록번호
Real number (ℝ)

Distinct1368
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246276.27
Minimum101810
Maximum908840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:10.999092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101810
5-th percentile105821
Q1120814
median207813
Q3311810
95-th percentile609899.4
Maximum908840
Range807030
Interquartile range (IQR)190996

Descriptive statistics

Standard deviation162097.81
Coefficient of variation (CV)0.658195
Kurtosis0.17720721
Mean246276.27
Median Absolute Deviation (MAD)89999
Skewness1.1960093
Sum2.4627627 × 109
Variance2.62757 × 1010
MonotonicityNot monotonic
2024-04-21T10:56:11.133178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113815 43
 
0.4%
134860 39
 
0.4%
606818 39
 
0.4%
416814 33
 
0.3%
124861 33
 
0.3%
131818 33
 
0.3%
140810 32
 
0.3%
134861 32
 
0.3%
229813 32
 
0.3%
615813 32
 
0.3%
Other values (1358) 9652
96.5%
ValueCountFrequency (%)
101810 3
 
< 0.1%
101811 5
 
0.1%
101812 8
 
0.1%
101813 9
0.1%
101814 16
0.2%
101815 20
0.2%
101816 16
0.2%
101817 11
0.1%
101818 10
0.1%
101819 21
0.2%
ValueCountFrequency (%)
908840 1
< 0.1%
904840 1
< 0.1%
844810 1
< 0.1%
837830 1
< 0.1%
779820 1
< 0.1%
768820 1
< 0.1%
726830 1
< 0.1%
720830 1
< 0.1%
718820 1
< 0.1%
702820 1
< 0.1%

사업장가입상태코드 1 등록 2 탈퇴
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9956 
2
 
44

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9956
99.6%
2 44
 
0.4%

Length

2024-04-21T10:56:11.256690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:56:11.355882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9956
99.6%
2 44
 
0.4%

우편번호
Text

Distinct6022
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:11.620630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.007
Min length5

Characters and Unicode

Total characters50070
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

Unique4283 ?
Unique (%)42.8%

Sample

1st row38168
2nd row03419
3rd row22744
4th row47570
5th row03015
ValueCountFrequency (%)
05699 55
 
0.5%
05836 37
 
0.4%
08507 24
 
0.2%
05854 23
 
0.2%
08217 22
 
0.2%
08501 22
 
0.2%
08506 22
 
0.2%
14057 21
 
0.2%
06164 20
 
0.2%
07333 20
 
0.2%
Other values (6012) 9734
97.3%
2024-04-21T10:56:12.054422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8079
16.1%
1 6593
13.2%
5 5336
10.7%
2 5038
10.1%
4 4999
10.0%
3 4897
9.8%
6 4353
8.7%
7 4061
8.1%
8 3682
7.4%
9 2997
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50035
99.9%
Dash Punctuation 35
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8079
16.1%
1 6593
13.2%
5 5336
10.7%
2 5038
10.1%
4 4999
10.0%
3 4897
9.8%
6 4353
8.7%
7 4061
8.1%
8 3682
7.4%
9 2997
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50070
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8079
16.1%
1 6593
13.2%
5 5336
10.7%
2 5038
10.1%
4 4999
10.0%
3 4897
9.8%
6 4353
8.7%
7 4061
8.1%
8 3682
7.4%
9 2997
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8079
16.1%
1 6593
13.2%
5 5336
10.7%
2 5038
10.1%
4 4999
10.0%
3 4897
9.8%
6 4353
8.7%
7 4061
8.1%
8 3682
7.4%
9 2997
 
6.0%

사업장지번상세주소
Text

Distinct2352
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:12.320495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length13.1665
Min length5

Characters and Unicode

Total characters131665
Distinct characters332
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

Unique970 ?
Unique (%)9.7%

Sample

1st row경상북도 경주시 사정동
2nd row서울특별시 은평구 역촌동
3rd row인천광역시 서구 경서동
4th row부산광역시 연제구 연산동
5th row서울특별시 종로구 신영동
ValueCountFrequency (%)
서울특별시 4113
 
13.2%
경기도 2200
 
7.0%
강남구 596
 
1.9%
경상남도 403
 
1.3%
부산광역시 369
 
1.2%
경상북도 365
 
1.2%
중구 364
 
1.2%
송파구 345
 
1.1%
인천광역시 343
 
1.1%
서초구 332
 
1.1%
Other values (2301) 21791
69.8%
2024-04-21T10:56:12.714947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21603
 
16.4%
시 9440
 
7.2%
동 8774
 
6.7%
구 7553
 
5.7%
서 5482
 
4.2%
도 4891
 
3.7%
별 4699
 
3.6%
특 4684
 
3.6%
울 4296
 
3.3%
경 3077
 
2.3%
Other values (322) 57166
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109347
83.0%
Space Separator 21603
 
16.4%
Decimal Number 715
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9440
 
8.6%
동 8774
 
8.0%
구 7553
 
6.9%
서 5482
 
5.0%
도 4891
 
4.5%
별 4699
 
4.3%
특 4684
 
4.3%
울 4296
 
3.9%
경 3077
 
2.8%
남 2611
 
2.4%
Other values (313) 53840
49.2%
Decimal Number
ValueCountFrequency (%)
2 233
32.6%
1 185
25.9%
3 129
18.0%
4 56
 
7.8%
5 50
 
7.0%
6 34
 
4.8%
7 18
 
2.5%
8 10
 
1.4%
Space Separator
ValueCountFrequency (%)
21603
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109347
83.0%
Common 22318
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9440
 
8.6%
동 8774
 
8.0%
구 7553
 
6.9%
서 5482
 
5.0%
도 4891
 
4.5%
별 4699
 
4.3%
특 4684
 
4.3%
울 4296
 
3.9%
경 3077
 
2.8%
남 2611
 
2.4%
Other values (313) 53840
49.2%
Common
ValueCountFrequency (%)
21603
96.8%
2 233
 
1.0%
1 185
 
0.8%
3 129
 
0.6%
4 56
 
0.3%
5 50
 
0.2%
6 34
 
0.2%
7 18
 
0.1%
8 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109347
83.0%
ASCII 22318
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21603
96.8%
2 233
 
1.0%
1 185
 
0.8%
3 129
 
0.6%
4 56
 
0.3%
5 50
 
0.2%
6 34
 
0.2%
7 18
 
0.1%
8 10
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 9440
 
8.6%
동 8774
 
8.0%
구 7553
 
6.9%
서 5482
 
5.0%
도 4891
 
4.5%
별 4699
 
4.3%
특 4684
 
4.3%
울 4296
 
3.9%
경 3077
 
2.8%
남 2611
 
2.4%
Other values (313) 53840
49.2%

사업장도로명상세주소
Text

Distinct6136
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:13.172644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length15.4298
Min length1

Characters and Unicode

Total characters154298
Distinct characters500
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4870 ?
Unique (%)48.7%

Sample

1st row경상북도 경주시 첨성로
2nd row서울특별시 은평구 역말로4길
3rd row인천광역시 서구 사렴로32번길
4th row부산광역시 연제구 고분로242번길
5th row서울특별시 종로구 세검정로
ValueCountFrequency (%)
서울특별시 4018
 
12.3%
경기도 2180
 
6.7%
강남구 591
 
1.8%
경상남도 395
 
1.2%
부산광역시 359
 
1.1%
경상북도 357
 
1.1%
중구 350
 
1.1%
송파구 344
 
1.1%
인천광역시 336
 
1.0%
서초구 330
 
1.0%
Other values (6474) 23347
71.6%
2024-04-21T10:56:13.580698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23085
 
15.0%
시 9360
 
6.1%
로 9012
 
5.8%
구 7276
 
4.7%
서 5459
 
3.5%
도 4677
 
3.0%
별 4586
 
3.0%
특 4568
 
3.0%
길 4417
 
2.9%
울 4248
 
2.8%
Other values (490) 77610
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123192
79.8%
Space Separator 23085
 
15.0%
Decimal Number 8001
 
5.2%
Uppercase Letter 12
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9360
 
7.6%
로 9012
 
7.3%
구 7276
 
5.9%
서 5459
 
4.4%
도 4677
 
3.8%
별 4586
 
3.7%
특 4568
 
3.7%
길 4417
 
3.6%
울 4248
 
3.4%
경 3213
 
2.6%
Other values (474) 66376
53.9%
Decimal Number
ValueCountFrequency (%)
1 1782
22.3%
2 1142
14.3%
3 920
11.5%
4 732
9.1%
5 716
8.9%
6 639
 
8.0%
7 585
 
7.3%
8 555
 
6.9%
9 474
 
5.9%
0 456
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
E 3
25.0%
A 3
25.0%
P 3
25.0%
Space Separator
ValueCountFrequency (%)
23085
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123192
79.8%
Common 31094
 
20.2%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9360
 
7.6%
로 9012
 
7.3%
구 7276
 
5.9%
서 5459
 
4.4%
도 4677
 
3.8%
별 4586
 
3.7%
특 4568
 
3.7%
길 4417
 
3.6%
울 4248
 
3.4%
경 3213
 
2.6%
Other values (474) 66376
53.9%
Common
ValueCountFrequency (%)
23085
74.2%
1 1782
 
5.7%
2 1142
 
3.7%
3 920
 
3.0%
4 732
 
2.4%
5 716
 
2.3%
6 639
 
2.1%
7 585
 
1.9%
8 555
 
1.8%
9 474
 
1.5%
Other values (2) 464
 
1.5%
Latin
ValueCountFrequency (%)
C 3
25.0%
E 3
25.0%
A 3
25.0%
P 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123192
79.8%
ASCII 31106
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23085
74.2%
1 1782
 
5.7%
2 1142
 
3.7%
3 920
 
3.0%
4 732
 
2.4%
5 716
 
2.3%
6 639
 
2.1%
7 585
 
1.9%
8 555
 
1.8%
9 474
 
1.5%
Other values (6) 476
 
1.5%
Hangul
ValueCountFrequency (%)
시 9360
 
7.6%
로 9012
 
7.3%
구 7276
 
5.9%
서 5459
 
4.4%
도 4677
 
3.8%
별 4586
 
3.7%
특 4568
 
3.7%
길 4417
 
3.6%
울 4248
 
3.4%
경 3213
 
2.6%
Other values (474) 66376
53.9%

고객법정동주소코드
Real number (ℝ)

Distinct3146
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8583234 × 109
Minimum1.1110101 × 109
Maximum5.280041 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:13.725009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 109
5-th percentile1.1170104 × 109
Q11.156011 × 109
median2.8260112 × 109
Q34.15904 × 109
95-th percentile5.0110129 × 109
Maximum5.280041 × 109
Range4.1690309 × 109
Interquartile range (IQR)3.003029 × 109

Descriptive statistics

Standard deviation1.5459444 × 109
Coefficient of variation (CV)0.54085708
Kurtosis-1.7089274
Mean2.8583234 × 109
Median Absolute Deviation (MAD)1.6580007 × 109
Skewness0.0042489666
Sum2.8583234 × 1013
Variance2.3899442 × 1018
MonotonicityNot monotonic
2024-04-21T10:56:13.860458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1154510100 230
 
2.3%
1168010100 161
 
1.6%
1153010200 154
 
1.5%
1165010800 153
 
1.5%
1156011000 117
 
1.2%
1168010800 110
 
1.1%
1171010800 101
 
1.0%
1171010700 97
 
1.0%
1168010500 93
 
0.9%
1120011500 90
 
0.9%
Other values (3136) 8694
86.9%
ValueCountFrequency (%)
1111010100 1
 
< 0.1%
1111010200 3
< 0.1%
1111010500 1
 
< 0.1%
1111010600 2
 
< 0.1%
1111010700 5
0.1%
1111011000 1
 
< 0.1%
1111011100 1
 
< 0.1%
1111011300 2
 
< 0.1%
1111011400 2
 
< 0.1%
1111011500 1
 
< 0.1%
ValueCountFrequency (%)
5280041021 1
< 0.1%
5280040023 1
< 0.1%
5280035023 1
< 0.1%
5280033025 1
< 0.1%
5280033021 1
< 0.1%
5280025024 1
< 0.1%
5280025022 2
< 0.1%
5279032021 1
< 0.1%
5279031021 1
< 0.1%
5279025036 1
< 0.1%

고객행정동주소코드
Text

Distinct3308
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:14.097335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9451
Min length1

Characters and Unicode

Total characters99451
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

Unique1807 ?
Unique (%)18.1%

Sample

1st row4713000000
2nd row1138062500
3rd row2826051500
4th row2647073000
5th row1111055000
ValueCountFrequency (%)
1154551000 190
 
1.9%
1168064000 110
 
1.1%
1156054000 103
 
1.0%
1153054000 76
 
0.8%
1168000000 66
 
0.7%
1114055000 66
 
0.7%
1171064200 66
 
0.7%
4127357000 64
 
0.6%
4117355200 61
 
0.6%
1168053100 59
 
0.6%
Other values (3301) 9093
91.4%
2024-04-21T10:56:14.458480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35229
35.4%
1 17627
17.7%
5 10484
 
10.5%
2 7805
 
7.8%
4 7514
 
7.6%
6 6450
 
6.5%
3 5550
 
5.6%
7 4062
 
4.1%
8 2869
 
2.9%
9 1785
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99375
99.9%
Space Separator 76
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35229
35.5%
1 17627
17.7%
5 10484
 
10.5%
2 7805
 
7.9%
4 7514
 
7.6%
6 6450
 
6.5%
3 5550
 
5.6%
7 4062
 
4.1%
8 2869
 
2.9%
9 1785
 
1.8%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99451
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35229
35.4%
1 17627
17.7%
5 10484
 
10.5%
2 7805
 
7.8%
4 7514
 
7.6%
6 6450
 
6.5%
3 5550
 
5.6%
7 4062
 
4.1%
8 2869
 
2.9%
9 1785
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99451
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35229
35.4%
1 17627
17.7%
5 10484
 
10.5%
2 7805
 
7.8%
4 7514
 
7.6%
6 6450
 
6.5%
3 5550
 
5.6%
7 4062
 
4.1%
8 2869
 
2.9%
9 1785
 
1.8%

법정동주소광역시도코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.1881
Minimum11
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:14.605710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median28
Q341
95-th percentile50
Maximum52
Range41
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.509345
Coefficient of variation (CV)0.55020894
Kurtosis-1.7091026
Mean28.1881
Median Absolute Deviation (MAD)17
Skewness0.00064663574
Sum281881
Variance240.53977
MonotonicityNot monotonic
2024-04-21T10:56:14.727928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11 4113
41.1%
41 2227
22.3%
48 404
 
4.0%
26 373
 
3.7%
47 365
 
3.6%
28 344
 
3.4%
46 327
 
3.3%
44 325
 
3.2%
43 279
 
2.8%
52 251
 
2.5%
Other values (7) 992
 
9.9%
ValueCountFrequency (%)
11 4113
41.1%
26 373
 
3.7%
27 224
 
2.2%
28 344
 
3.4%
29 177
 
1.8%
30 154
 
1.5%
31 117
 
1.2%
36 41
 
0.4%
41 2227
22.3%
43 279
 
2.8%
ValueCountFrequency (%)
52 251
 
2.5%
51 209
 
2.1%
50 70
 
0.7%
48 404
 
4.0%
47 365
 
3.6%
46 327
 
3.3%
44 325
 
3.2%
43 279
 
2.8%
41 2227
22.3%
36 41
 
0.4%

법정동주소광역시시군구코드
Real number (ℝ)

Distinct105
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.9818
Minimum110
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:14.854261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile111
Q1180
median350
Q3590
95-th percentile750
Maximum940
Range830
Interquartile range (IQR)410

Descriptive statistics

Standard deviation228.23087
Coefficient of variation (CV)0.57782629
Kurtosis-1.2978462
Mean394.9818
Median Absolute Deviation (MAD)200
Skewness0.31593684
Sum3949818
Variance52089.329
MonotonicityNot monotonic
2024-04-21T10:56:14.999339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
680 596
 
6.0%
710 493
 
4.9%
200 492
 
4.9%
110 478
 
4.8%
140 453
 
4.5%
650 378
 
3.8%
560 301
 
3.0%
170 293
 
2.9%
545 292
 
2.9%
530 259
 
2.6%
Other values (95) 5965
59.7%
ValueCountFrequency (%)
110 478
4.8%
111 105
 
1.1%
112 20
 
0.2%
113 115
 
1.1%
114 32
 
0.3%
115 7
 
0.1%
117 34
 
0.3%
121 27
 
0.3%
123 36
 
0.4%
125 17
 
0.2%
ValueCountFrequency (%)
940 3
 
< 0.1%
930 7
 
0.1%
920 6
 
0.1%
910 7
 
0.1%
900 13
0.1%
890 16
0.2%
880 23
0.2%
870 16
0.2%
860 11
0.1%
850 27
0.3%

법정동주소광역시시군구읍면동코드
Real number (ℝ)

Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.0723
Minimum101
Maximum460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:15.130145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1104
median110
Q3137
95-th percentile350
Maximum460
Range359
Interquartile range (IQR)33

Descriptive statistics

Standard deviation82.898984
Coefficient of variation (CV)0.54512876
Kurtosis1.4377719
Mean152.0723
Median Absolute Deviation (MAD)8
Skewness1.6846032
Sum1520723
Variance6872.2415
MonotonicityNot monotonic
2024-04-21T10:56:15.278226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 914
 
9.1%
102 842
 
8.4%
108 586
 
5.9%
105 554
 
5.5%
250 539
 
5.4%
103 480
 
4.8%
107 475
 
4.8%
104 429
 
4.3%
106 365
 
3.6%
109 273
 
2.7%
Other values (100) 4543
45.4%
ValueCountFrequency (%)
101 914
9.1%
102 842
8.4%
103 480
4.8%
104 429
4.3%
105 554
5.5%
106 365
 
3.6%
107 475
4.8%
108 586
5.9%
109 273
 
2.7%
110 267
 
2.7%
ValueCountFrequency (%)
460 2
 
< 0.1%
450 2
 
< 0.1%
440 5
 
0.1%
430 4
 
< 0.1%
420 20
 
0.2%
410 40
0.4%
400 37
0.4%
395 1
 
< 0.1%
390 39
0.4%
380 68
0.7%

사업장형태구분코드 1 법인 2 개인
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-04-21T10:56:15.411762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:56:15.506808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

사업장업종코드
Text

Distinct647
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:56:15.779985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8495
Min length1

Characters and Unicode

Total characters58495
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

Unique166 ?
Unique (%)1.7%

Sample

1st row999999
2nd row452104
3rd row281100
4th row742104
5th row512252
ValueCountFrequency (%)
999999 1008
 
10.4%
452102 409
 
4.2%
452104 389
 
4.0%
722000 340
 
3.5%
701201 267
 
2.8%
452101 213
 
2.2%
742104 181
 
1.9%
451200 173
 
1.8%
451101 159
 
1.6%
452111 142
 
1.5%
Other values (636) 6418
66.2%
2024-04-21T10:56:16.175173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12835
21.9%
1 10303
17.6%
9 9174
15.7%
2 8845
15.1%
5 5327
9.1%
4 4538
 
7.8%
3 3265
 
5.6%
7 2319
 
4.0%
6 1086
 
1.9%
8 502
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58194
99.5%
Space Separator 301
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12835
22.1%
1 10303
17.7%
9 9174
15.8%
2 8845
15.2%
5 5327
9.2%
4 4538
 
7.8%
3 3265
 
5.6%
7 2319
 
4.0%
6 1086
 
1.9%
8 502
 
0.9%
Space Separator
ValueCountFrequency (%)
301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12835
21.9%
1 10303
17.6%
9 9174
15.7%
2 8845
15.1%
5 5327
9.1%
4 4538
 
7.8%
3 3265
 
5.6%
7 2319
 
4.0%
6 1086
 
1.9%
8 502
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12835
21.9%
1 10303
17.6%
9 9174
15.7%
2 8845
15.1%
5 5327
9.1%
4 4538
 
7.8%
3 3265
 
5.6%
7 2319
 
4.0%
6 1086
 
1.9%
8 502
 
0.9%

사업장업종코드명
Text

MISSING 

Distinct549
Distinct (%)5.7%
Missing342
Missing (%)3.4%
Memory size156.2 KiB
2024-04-21T10:56:16.444051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length13.635121
Min length2

Characters and Unicode

Total characters131688
Distinct characters370
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)1.2%

Sample

1st rowBIZ_NO미존재사업장
2nd row배관 및 냉ㆍ난방 공사업
3rd row금속 문 창 셔터 및 관련제품 제조업
4th row기타 엔지니어링 서비스업
5th row주류 도매업
ValueCountFrequency (%)
및 4210
 
11.5%
제조업 1848
 
5.1%
도매업 1651
 
4.5%
기타 1469
 
4.0%
공사업 1305
 
3.6%
biz_no미존재사업장 1008
 
2.8%
서비스업 499
 
1.4%
소프트웨어 470
 
1.3%
외 467
 
1.3%
창호 435
 
1.2%
Other values (834) 23189
63.4%
2024-04-21T10:56:16.869687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28526
21.7%
업 9850
 
7.5%
및 4218
 
3.2%
기 3170
 
2.4%
사 2928
 
2.2%
장 2797
 
2.1%
제 2738
 
2.1%
조 2182
 
1.7%
공 2153
 
1.6%
도 2035
 
1.5%
Other values (360) 71091
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96122
73.0%
Space Separator 28526
 
21.7%
Uppercase Letter 5040
 
3.8%
Connector Punctuation 1008
 
0.8%
Open Punctuation 318
 
0.2%
Close Punctuation 316
 
0.2%
Other Punctuation 232
 
0.2%
Decimal Number 126
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 9850
 
10.2%
및 4218
 
4.4%
기 3170
 
3.3%
사 2928
 
3.0%
장 2797
 
2.9%
제 2738
 
2.8%
조 2182
 
2.3%
공 2153
 
2.2%
도 2035
 
2.1%
매 1863
 
1.9%
Other values (349) 62188
64.7%
Uppercase Letter
ValueCountFrequency (%)
B 1008
20.0%
I 1008
20.0%
Z 1008
20.0%
N 1008
20.0%
O 1008
20.0%
Space Separator
ValueCountFrequency (%)
28526
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1008
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 232
100.0%
Decimal Number
ValueCountFrequency (%)
1 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96122
73.0%
Common 30526
 
23.2%
Latin 5040
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 9850
 
10.2%
및 4218
 
4.4%
기 3170
 
3.3%
사 2928
 
3.0%
장 2797
 
2.9%
제 2738
 
2.8%
조 2182
 
2.3%
공 2153
 
2.2%
도 2035
 
2.1%
매 1863
 
1.9%
Other values (349) 62188
64.7%
Common
ValueCountFrequency (%)
28526
93.4%
_ 1008
 
3.3%
( 318
 
1.0%
) 316
 
1.0%
/ 232
 
0.8%
1 126
 
0.4%
Latin
ValueCountFrequency (%)
B 1008
20.0%
I 1008
20.0%
Z 1008
20.0%
N 1008
20.0%
O 1008
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95436
72.5%
ASCII 35566
 
27.0%
Compat Jamo 686
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28526
80.2%
B 1008
 
2.8%
I 1008
 
2.8%
Z 1008
 
2.8%
_ 1008
 
2.8%
N 1008
 
2.8%
O 1008
 
2.8%
( 318
 
0.9%
) 316
 
0.9%
/ 232
 
0.7%
Hangul
ValueCountFrequency (%)
업 9850
 
10.3%
및 4218
 
4.4%
기 3170
 
3.3%
사 2928
 
3.1%
장 2797
 
2.9%
제 2738
 
2.9%
조 2182
 
2.3%
공 2153
 
2.3%
도 2035
 
2.1%
매 1863
 
2.0%
Other values (348) 61502
64.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 686
100.0%

적용일자
Date

Distinct1812
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1988-01-01 00:00:00
Maximum2005-06-01 00:00:00
2024-04-21T10:56:16.994788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:17.125810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재등록일자
Date

MISSING 

Distinct241
Distinct (%)72.6%
Missing9668
Missing (%)96.7%
Memory size156.2 KiB
Minimum1989-09-26 00:00:00
Maximum2024-03-04 00:00:00
2024-04-21T10:56:17.254655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:17.414527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

탈퇴일자
Date

MISSING 

Distinct22
Distinct (%)50.0%
Missing9956
Missing (%)99.6%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2024-03-12 00:00:00
2024-04-21T10:56:17.532233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:17.645937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

가입자수
Real number (ℝ)

SKEWED 

Distinct446
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.1414
Minimum0
Maximum123912
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:17.772136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median8
Q320
95-th percentile119
Maximum123912
Range123912
Interquartile range (IQR)16

Descriptive statistics

Standard deviation1269.1412
Coefficient of variation (CV)23.016122
Kurtosis9076.8989
Mean55.1414
Median Absolute Deviation (MAD)5
Skewness93.276789
Sum551414
Variance1610719.4
MonotonicityNot monotonic
2024-04-21T10:56:17.905198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1395
 
14.0%
4 1061
 
10.6%
5 825
 
8.2%
6 671
 
6.7%
7 531
 
5.3%
8 482
 
4.8%
9 361
 
3.6%
10 300
 
3.0%
11 294
 
2.9%
12 267
 
2.7%
Other values (436) 3813
38.1%
ValueCountFrequency (%)
0 45
 
0.4%
3 1395
14.0%
4 1061
10.6%
5 825
8.2%
6 671
6.7%
7 531
 
5.3%
8 482
 
4.8%
9 361
 
3.6%
10 300
 
3.0%
11 294
 
2.9%
ValueCountFrequency (%)
123912 1
< 0.1%
15468 1
< 0.1%
9700 1
< 0.1%
8045 1
< 0.1%
6554 1
< 0.1%
5607 1
< 0.1%
4361 1
< 0.1%
4339 1
< 0.1%
4020 1
< 0.1%
3915 1
< 0.1%

당월고지금액
Real number (ℝ)

SKEWED 

Distinct9626
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21505884
Minimum0
Maximum6.4114365 × 1010
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:18.047150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600376
Q11215370
median2431660
Q36009280
95-th percentile39779251
Maximum6.4114365 × 1010
Range6.4114365 × 1010
Interquartile range (IQR)4793910

Descriptive statistics

Standard deviation6.5060289 × 108
Coefficient of variation (CV)30.252321
Kurtosis9423.1976
Mean21505884
Median Absolute Deviation (MAD)1528880
Skewness95.792243
Sum2.1505884 × 1011
Variance4.2328412 × 1017
MonotonicityNot monotonic
2024-04-21T10:56:18.183499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
0.4%
1593000 10
 
0.1%
511080 5
 
0.1%
1143080 4
 
< 0.1%
542060 3
 
< 0.1%
647820 3
 
< 0.1%
795940 3
 
< 0.1%
1060720 3
 
< 0.1%
1007900 3
 
< 0.1%
532440 3
 
< 0.1%
Other values (9616) 9918
99.2%
ValueCountFrequency (%)
0 45
0.4%
99900 1
 
< 0.1%
102060 1
 
< 0.1%
132900 1
 
< 0.1%
133080 1
 
< 0.1%
179640 1
 
< 0.1%
190780 1
 
< 0.1%
195180 1
 
< 0.1%
204000 1
 
< 0.1%
208420 1
 
< 0.1%
ValueCountFrequency (%)
64114365020 1
< 0.1%
6513574200 1
< 0.1%
4179338060 1
< 0.1%
2886778320 1
< 0.1%
2207114420 1
< 0.1%
2046173860 1
< 0.1%
1936956000 1
< 0.1%
1899499900 1
< 0.1%
1789563380 1
< 0.1%
1689471520 1
< 0.1%

신규취득자수
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5495
Minimum0
Maximum2415
Zeros7214
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:18.318631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum2415
Range2415
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.742409
Coefficient of variation (CV)17.258735
Kurtosis6696.3906
Mean1.5495
Median Absolute Deviation (MAD)0
Skewness76.484284
Sum15495
Variance715.15647
MonotonicityNot monotonic
2024-04-21T10:56:18.720829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7214
72.1%
1 1319
 
13.2%
2 498
 
5.0%
3 271
 
2.7%
4 155
 
1.6%
5 119
 
1.2%
6 86
 
0.9%
8 60
 
0.6%
7 60
 
0.6%
9 33
 
0.3%
Other values (57) 185
 
1.8%
ValueCountFrequency (%)
0 7214
72.1%
1 1319
 
13.2%
2 498
 
5.0%
3 271
 
2.7%
4 155
 
1.6%
5 119
 
1.2%
6 86
 
0.9%
7 60
 
0.6%
8 60
 
0.6%
9 33
 
0.3%
ValueCountFrequency (%)
2415 1
< 0.1%
694 1
< 0.1%
446 1
< 0.1%
389 1
< 0.1%
303 1
< 0.1%
279 1
< 0.1%
247 1
< 0.1%
185 1
< 0.1%
141 1
< 0.1%
137 1
< 0.1%

상실가입자수
Real number (ℝ)

SKEWED  ZEROS 

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3466
Minimum0
Maximum1077
Zeros7083
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:56:18.868275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum1077
Range1077
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.480311
Coefficient of variation (CV)11.49585
Kurtosis2931.6579
Mean1.3466
Median Absolute Deviation (MAD)0
Skewness48.736499
Sum13466
Variance239.64003
MonotonicityNot monotonic
2024-04-21T10:56:19.006097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7083
70.8%
1 1609
 
16.1%
2 504
 
5.0%
3 246
 
2.5%
4 130
 
1.3%
5 89
 
0.9%
6 69
 
0.7%
7 40
 
0.4%
8 30
 
0.3%
10 21
 
0.2%
Other values (58) 179
 
1.8%
ValueCountFrequency (%)
0 7083
70.8%
1 1609
 
16.1%
2 504
 
5.0%
3 246
 
2.5%
4 130
 
1.3%
5 89
 
0.9%
6 69
 
0.7%
7 40
 
0.4%
8 30
 
0.3%
9 19
 
0.2%
ValueCountFrequency (%)
1077 1
< 0.1%
737 1
< 0.1%
396 1
< 0.1%
372 1
< 0.1%
251 1
< 0.1%
216 1
< 0.1%
185 1
< 0.1%
151 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%

Sample

자료생성년월사업장명사업자등록번호사업장가입상태코드 1 등록 2 탈퇴우편번호사업장지번상세주소사업장도로명상세주소고객법정동주소코드고객행정동주소코드법정동주소광역시도코드법정동주소광역시시군구코드법정동주소광역시시군구읍면동코드사업장형태구분코드 1 법인 2 개인사업장업종코드사업장업종코드명적용일자재등록일자탈퇴일자가입자수당월고지금액신규취득자수상실가입자수
313352024-03경주문화원505830138168경상북도 경주시 사정동경상북도 경주시 첨성로47130109004713000000471301091999999BIZ_NO미존재사업장2003-08-01<NA><NA>5105262000
348472024-03동건전력(주)110816103419서울특별시 은평구 역촌동서울특별시 은평구 역말로4길11380108001138062500113801081452104배관 및 냉ㆍ난방 공사업2003-11-01<NA><NA>369686000
6802024-03삼부정공사(주)137810122744인천광역시 서구 경서동인천광역시 서구 사렴로32번길28260104002826051500282601041281100금속 문 창 셔터 및 관련제품 제조업1988-01-011999-04-01<NA>3123236000
298342024-03(주)투-에스604813147570부산광역시 연제구 연산동부산광역시 연제구 고분로242번길26470102002647073000264701021742104기타 엔지니어링 서비스업2003-07-01<NA><NA>338644000
449912024-03광장주류판매(주)102813103015서울특별시 종로구 신영동서울특별시 종로구 세검정로11110186001111055000111101861512252주류 도매업1995-05-01<NA><NA>18603416000
353602024-03주식회사다담패키지504814142723대구광역시 달서구 월성동대구광역시 달서구 월곡로99길27290120002729060200272901201210200골판지 제조업2003-12-01<NA><NA>6168632000
74002024-03(주)다전디자인그룹214863106649서울특별시 서초구 서초동서울특별시 서초구 사임당로1길11650108001165053000116501081452107도배 실내 장식 및 내장 목공사업2000-01-01<NA><NA>351101332060
282442024-03(주)협진시스템창호314815135085대전광역시 중구 안영동대전광역시 중구 대둔산로30140119003014074000301401191514370그 외 기타 건축자재 도매업2003-07-01<NA><NA>4103190000
281852024-03네오건설(주)303813127717충청북도 음성군 원남면충청북도 음성군 원남면 반기문로43770320274377032027437703201451200기타 토목 시설물 건설업2003-07-01<NA><NA>6146456000
251002024-03(주)플러스앤220817106173서울특별시 강남구 삼성동서울특별시 강남구 영동대로96길11680105001168000000116801051749921그 외 기타 분류 안된 사업 지원 서비스업2003-07-01<NA><NA>381004762001
자료생성년월사업장명사업자등록번호사업장가입상태코드 1 등록 2 탈퇴우편번호사업장지번상세주소사업장도로명상세주소고객법정동주소코드고객행정동주소코드법정동주소광역시도코드법정동주소광역시시군구코드법정동주소광역시시군구읍면동코드사업장형태구분코드 1 법인 2 개인사업장업종코드사업장업종코드명적용일자재등록일자탈퇴일자가입자수당월고지금액신규취득자수상실가입자수
361332024-03(주)워드앤코드104816108510서울특별시 금천구 가산동서울특별시 금천구 벚꽃로11545101001154551000115451011722000응용 소프트웨어 개발 및 공급업2004-01-01<NA><NA>25699414021
293782024-03차스텍이앤씨(주)220862106721서울특별시 서초구 서초동서울특별시 서초구 효령로60길11650108001165000000116501081742104기타 엔지니어링 서비스업2003-07-01<NA><NA>485688000
94902024-03(주)포스코인터내셔널104815106235서울특별시 강남구 역삼동서울특별시 강남구 테헤란로11680101001168064000116801011519111상품 종합 도매업2000-12-27<NA><NA>1912986480840816
279952024-03(합)대암건설221811124563강원특별자치도 양구군 해안면51800340215180034021518003401451200기타 토목 시설물 건설업2003-07-01<NA><NA>585848000
160412024-03(주)삼영부품상사204817111190경기도 포천시 내촌면경기도 포천시 내촌면 포천로41650320214165032021416503201503003자동차 중고 부품 및 내장품 판매업2002-10-01<NA><NA>9253084000
33442024-03에이지커뮤니케이션즈(주)120817102837서울특별시 성북구 성북동서울특별시 성북구 성북로11290101001129052500112901011743002광고 대행업1998-09-01<NA><NA>11301504011
124322024-03한백플랜트(주)204816101626서울특별시 노원구 상계동서울특별시 노원구 동일로242길11350105001135063000113501051452104배관 및 냉ㆍ난방 공사업2002-01-01<NA><NA>3142298000
470292024-03솔라캡인피니티(유한)124819117704경기도 평택시 서탄면경기도 평택시 서탄면 서탄로41220320214122032000412203201<NA>2005-01-01<NA><NA>5160126000
363742024-03주식회사 휴네시온214874106072서울특별시 강남구 청담동서울특별시 강남구 학동로97길11680104001168056500116801041723000자료 처리업2004-02-01<NA><NA>1636034712022
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