Overview

Dataset statistics

Number of variables43
Number of observations2004
Missing cells4918
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory751.6 KiB
Average record size in memory384.1 B

Variable types

Categorical7
Numeric34
Text2

Dataset

Description2021년 기준 부산광역시 중구의 모든 사업체를 대상으로 실시한 사업체 조사 결과입니다. △조사기간 : 2022. 2. 9. ~ 3. 6. △조사대상 : 부산광역시 중구 관내 사업체
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15125141/fileData.do

Alerts

종사자규모별_300명 이상 499명 이하_사업체수 is highly imbalanced (94.0%)Imbalance
종사자규모별_300명 이상 499명 이하_종사자수 is highly imbalanced (93.6%)Imbalance
종사자규모별_500명 이상 999명 이하_사업체수 is highly imbalanced (97.0%)Imbalance
종사자규모별_500명 이상 999명 이하_종사자수 is highly imbalanced (96.5%)Imbalance
종사자규모별_1000명 이상_사업체수 is highly imbalanced (97.1%)Imbalance
종사자규모별_1000명 이상_종사자수 is highly imbalanced (98.0%)Imbalance
산업분류코드_소 has 94 (4.7%) missing valuesMissing
산업분류코드_세 has 322 (16.1%) missing valuesMissing
산업분류코드_세세 has 813 (40.6%) missing valuesMissing
종사자수_계 has 305 (15.2%) missing valuesMissing
종사자수_남 has 305 (15.2%) missing valuesMissing
종사자수_여 has 305 (15.2%) missing valuesMissing
조직형태별_개인_종사자수 has 253 (12.6%) missing valuesMissing
조직형태별_회사법인_종사자수 has 306 (15.3%) missing valuesMissing
조직형태별_회사이외법인_종사자수 has 181 (9.0%) missing valuesMissing
조직형태별_비법인_종사자수 has 45 (2.2%) missing valuesMissing
사업체구분별_단독_종사자수 has 297 (14.8%) missing valuesMissing
사업체구분별_공장 및 지사_종사자수 has 271 (13.5%) missing valuesMissing
사업체구분별_본사 및 본점_종사자수 has 161 (8.0%) missing valuesMissing
종사자규모별_1명 이상 4명 이하_종사자수 has 297 (14.8%) missing valuesMissing
종사자규모별_5명 이상 9명 이하_종사자수 has 327 (16.3%) missing valuesMissing
종사자규모별_10명 이상 19명 이하_종사자수 has 246 (12.3%) missing valuesMissing
종사자규모별_20명 이상 49명 이하_종사자수 has 205 (10.2%) missing valuesMissing
종사자규모별_50명 이상 99명 이하_종사자수 has 86 (4.3%) missing valuesMissing
종사자규모별_100명 이상 299명 이하_종사자수 has 79 (3.9%) missing valuesMissing
사업체수 is highly skewed (γ1 = 27.93979682)Skewed
종사자수_계 is highly skewed (γ1 = 27.9579896)Skewed
종사자수_남 is highly skewed (γ1 = 25.63975299)Skewed
종사자수_여 is highly skewed (γ1 = 28.92676673)Skewed
조직형태별_개인_사업체수 is highly skewed (γ1 = 26.40869001)Skewed
조직형태별_개인_종사자수 is highly skewed (γ1 = 26.446156)Skewed
조직형태별_회사법인_사업체수 is highly skewed (γ1 = 25.39422733)Skewed
조직형태별_회사법인_종사자수 is highly skewed (γ1 = 23.38074121)Skewed
조직형태별_회사이외법인_사업체수 is highly skewed (γ1 = 27.7547934)Skewed
조직형태별_회사이외법인_종사자수 is highly skewed (γ1 = 26.11993478)Skewed
사업체구분별_단독_사업체수 is highly skewed (γ1 = 27.53564906)Skewed
사업체구분별_단독_종사자수 is highly skewed (γ1 = 27.51897777)Skewed
사업체구분별_공장 및 지사_사업체수 is highly skewed (γ1 = 27.17669085)Skewed
사업체구분별_공장 및 지사_종사자수 is highly skewed (γ1 = 27.21791268)Skewed
사업체구분별_본사 및 본점_사업체수 is highly skewed (γ1 = 27.27874439)Skewed
사업체구분별_본사 및 본점_종사자수 is highly skewed (γ1 = 23.06195192)Skewed
종사자규모별_1명 이상 4명 이하_사업체수 is highly skewed (γ1 = 27.33975931)Skewed
종사자규모별_1명 이상 4명 이하_종사자수 is highly skewed (γ1 = 26.12278894)Skewed
종사자규모별_5명 이상 9명 이하_사업체수 is highly skewed (γ1 = 27.77902363)Skewed
종사자규모별_5명 이상 9명 이하_종사자수 is highly skewed (γ1 = 25.40231301)Skewed
종사자규모별_10명 이상 19명 이하_사업체수 is highly skewed (γ1 = 27.41707872)Skewed
종사자규모별_10명 이상 19명 이하_종사자수 is highly skewed (γ1 = 25.64551992)Skewed
종사자규모별_20명 이상 49명 이하_사업체수 is highly skewed (γ1 = 27.05262405)Skewed
종사자규모별_20명 이상 49명 이하_종사자수 is highly skewed (γ1 = 25.80443913)Skewed
종사자규모별_50명 이상 99명 이하_사업체수 is highly skewed (γ1 = 25.51108966)Skewed
종사자규모별_50명 이상 99명 이하_종사자수 is highly skewed (γ1 = 24.96720852)Skewed
종사자규모별_100명 이상 299명 이하_사업체수 is highly skewed (γ1 = 25.2151039)Skewed
종사자규모별_100명 이상 299명 이하_종사자수 is highly skewed (γ1 = 24.91782491)Skewed
산업분류코드_해당코드 has unique valuesUnique
사업체수 has 821 (41.0%) zerosZeros
종사자수_계 has 821 (41.0%) zerosZeros
종사자수_남 has 825 (41.2%) zerosZeros
종사자수_여 has 842 (42.0%) zerosZeros
조직형태별_개인_사업체수 has 1051 (52.4%) zerosZeros
조직형태별_개인_종사자수 has 1051 (52.4%) zerosZeros
조직형태별_회사법인_사업체수 has 1287 (64.2%) zerosZeros
조직형태별_회사법인_종사자수 has 1287 (64.2%) zerosZeros
조직형태별_회사이외법인_사업체수 has 1665 (83.1%) zerosZeros
조직형태별_회사이외법인_종사자수 has 1665 (83.1%) zerosZeros
조직형태별_비법인_사업체수 has 1928 (96.2%) zerosZeros
조직형태별_비법인_종사자수 has 1928 (96.2%) zerosZeros
사업체구분별_단독_사업체수 has 882 (44.0%) zerosZeros
사업체구분별_단독_종사자수 has 882 (44.0%) zerosZeros
사업체구분별_공장 및 지사_사업체수 has 1458 (72.8%) zerosZeros
사업체구분별_공장 및 지사_종사자수 has 1458 (72.8%) zerosZeros
사업체구분별_본사 및 본점_사업체수 has 1731 (86.4%) zerosZeros
사업체구분별_본사 및 본점_종사자수 has 1731 (86.4%) zerosZeros
종사자규모별_1명 이상 4명 이하_사업체수 has 921 (46.0%) zerosZeros
종사자규모별_1명 이상 4명 이하_종사자수 has 921 (46.0%) zerosZeros
종사자규모별_5명 이상 9명 이하_사업체수 has 1397 (69.7%) zerosZeros
종사자규모별_5명 이상 9명 이하_종사자수 has 1397 (69.7%) zerosZeros
종사자규모별_10명 이상 19명 이하_사업체수 has 1608 (80.2%) zerosZeros
종사자규모별_10명 이상 19명 이하_종사자수 has 1608 (80.2%) zerosZeros
종사자규모별_20명 이상 49명 이하_사업체수 has 1707 (85.2%) zerosZeros
종사자규모별_20명 이상 49명 이하_종사자수 has 1707 (85.2%) zerosZeros
종사자규모별_50명 이상 99명 이하_사업체수 has 1867 (93.2%) zerosZeros
종사자규모별_50명 이상 99명 이하_종사자수 has 1867 (93.2%) zerosZeros
종사자규모별_100명 이상 299명 이하_사업체수 has 1896 (94.6%) zerosZeros
종사자규모별_100명 이상 299명 이하_종사자수 has 1896 (94.6%) zerosZeros

Reproduction

Analysis started2023-12-12 12:45:39.538429
Analysis finished2023-12-12 12:45:40.242595
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산업분류코드_대
Categorical

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
C
771 
G
269 
M
90 
J
84 
H
83 
Other values (15)
707 

Length

Max length4
Median length1
Mean length1.001497
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
C 771
38.5%
G 269
 
13.4%
M 90
 
4.5%
J 84
 
4.2%
H 83
 
4.1%
F 71
 
3.5%
S 71
 
3.5%
N 69
 
3.4%
A 67
 
3.3%
R 67
 
3.3%
Other values (10) 362
18.1%

Length

2023-12-12T21:45:40.332872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c 771
38.5%
g 269
 
13.4%
m 90
 
4.5%
j 84
 
4.2%
h 83
 
4.1%
f 71
 
3.5%
s 71
 
3.5%
n 69
 
3.4%
a 67
 
3.3%
r 67
 
3.3%
Other values (10) 362
18.1%

산업분류코드_중
Real number (ℝ)

Distinct74
Distinct (%)3.7%
Missing20
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean44.122984
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:40.477096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q124
median42
Q364
95-th percentile91
Maximum96
Range95
Interquartile range (IQR)40

Descriptive statistics

Standard deviation25.931871
Coefficient of variation (CV)0.58771798
Kurtosis-0.8913883
Mean44.122984
Median Absolute Deviation (MAD)19
Skewness0.38066501
Sum87540
Variance672.46192
MonotonicityIncreasing
2023-12-12T21:45:40.629462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 131
 
6.5%
47 119
 
5.9%
10 69
 
3.4%
29 66
 
3.3%
85 58
 
2.9%
26 50
 
2.5%
42 49
 
2.4%
23 48
 
2.4%
20 46
 
2.3%
25 46
 
2.3%
Other values (64) 1302
65.0%
ValueCountFrequency (%)
1 41
2.0%
2 11
 
0.5%
3 14
 
0.7%
5 7
 
0.3%
6 7
 
0.3%
7 14
 
0.7%
8 4
 
0.2%
10 69
3.4%
11 15
 
0.7%
12 4
 
0.2%
ValueCountFrequency (%)
96 26
1.3%
95 21
 
1.0%
94 23
 
1.1%
91 39
1.9%
90 27
1.3%
87 20
 
1.0%
86 22
 
1.1%
85 58
2.9%
84 39
1.9%
76 25
1.2%

산업분류코드_소
Real number (ℝ)

MISSING 

Distinct228
Distinct (%)11.9%
Missing94
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean444.47539
Minimum11
Maximum969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:40.762491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile101
Q1241
median425
Q3642
95-th percentile911
Maximum969
Range958
Interquartile range (IQR)401

Descriptive statistics

Standard deviation259.12077
Coefficient of variation (CV)0.58298114
Kurtosis-0.88358995
Mean444.47539
Median Absolute Deviation (MAD)192
Skewness0.38458915
Sum848948
Variance67143.575
MonotonicityIncreasing
2023-12-12T21:45:41.179604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
464 37
 
1.8%
291 35
 
1.7%
292 30
 
1.5%
259 29
 
1.4%
107 26
 
1.3%
222 24
 
1.2%
856 23
 
1.1%
478 23
 
1.1%
561 22
 
1.1%
529 22
 
1.1%
Other values (218) 1639
81.8%
(Missing) 94
 
4.7%
ValueCountFrequency (%)
11 16
0.8%
12 12
0.6%
13 3
 
0.1%
14 6
 
0.3%
15 3
 
0.1%
20 10
0.5%
31 6
 
0.3%
32 7
0.3%
51 3
 
0.1%
52 3
 
0.1%
ValueCountFrequency (%)
969 15
0.7%
961 10
0.5%
953 8
0.4%
952 7
 
0.3%
951 5
 
0.2%
949 14
0.7%
942 3
 
0.1%
941 5
 
0.2%
912 19
0.9%
911 19
0.9%

산업분류코드_세
Real number (ℝ)

MISSING 

Distinct491
Distinct (%)29.2%
Missing322
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean4447.173
Minimum111
Maximum9699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:41.334545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile1021
Q12419
median4255
Q36411.75
95-th percentile9113
Maximum9699
Range9588
Interquartile range (IQR)3992.75

Descriptive statistics

Standard deviation2581.5524
Coefficient of variation (CV)0.58049291
Kurtosis-0.85545648
Mean4447.173
Median Absolute Deviation (MAD)1866.5
Skewness0.40071893
Sum7480145
Variance6664412.7
MonotonicityIncreasing
2023-12-12T21:45:41.512460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4213 10
 
0.5%
4721 10
 
0.5%
4641 9
 
0.4%
1079 9
 
0.4%
4610 9
 
0.4%
4741 9
 
0.4%
2721 8
 
0.4%
4632 8
 
0.4%
4659 8
 
0.4%
9113 8
 
0.4%
Other values (481) 1594
79.5%
(Missing) 322
 
16.1%
ValueCountFrequency (%)
111 2
0.1%
112 4
0.2%
113 3
0.1%
114 2
0.1%
115 4
0.2%
121 3
0.1%
122 2
0.1%
123 3
0.1%
129 3
0.1%
130 2
0.1%
ValueCountFrequency (%)
9699 7
0.3%
9692 3
0.1%
9691 4
0.2%
9612 4
0.2%
9611 5
0.2%
9539 5
0.2%
9531 2
 
0.1%
9522 2
 
0.1%
9521 4
0.2%
9512 2
 
0.1%

산업분류코드_세세
Real number (ℝ)

MISSING 

Distinct1191
Distinct (%)100.0%
Missing813
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean44416.179
Minimum1110
Maximum96999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:41.663661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1110
5-th percentile10402.5
Q124212.5
median45110
Q363111.5
95-th percentile91133.5
Maximum96999
Range95889
Interquartile range (IQR)38899

Descriptive statistics

Standard deviation25560.913
Coefficient of variation (CV)0.57548655
Kurtosis-0.81417215
Mean44416.179
Median Absolute Deviation (MAD)19987
Skewness0.43244045
Sum52899669
Variance6.5336029 × 108
MonotonicityStrictly increasing
2023-12-12T21:45:41.834808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50130 1
 
< 0.1%
50121 1
 
< 0.1%
50112 1
 
< 0.1%
50111 1
 
< 0.1%
49500 1
 
< 0.1%
49402 1
 
< 0.1%
49401 1
 
< 0.1%
49309 1
 
< 0.1%
49303 1
 
< 0.1%
49302 1
 
< 0.1%
Other values (1181) 1181
58.9%
(Missing) 813
40.6%
ValueCountFrequency (%)
1110 1
< 0.1%
1121 1
< 0.1%
1122 1
< 0.1%
1123 1
< 0.1%
1131 1
< 0.1%
1132 1
< 0.1%
1140 1
< 0.1%
1151 1
< 0.1%
1152 1
< 0.1%
1159 1
< 0.1%
ValueCountFrequency (%)
96999 1
< 0.1%
96995 1
< 0.1%
96994 1
< 0.1%
96993 1
< 0.1%
96992 1
< 0.1%
96991 1
< 0.1%
96922 1
< 0.1%
96921 1
< 0.1%
96913 1
< 0.1%
96912 1
< 0.1%

산업분류코드_해당코드
Text

UNIQUE 

Distinct2004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T21:45:42.273108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3772455
Min length1

Characters and Unicode

Total characters8772
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2004 ?
Unique (%)100.0%

Sample

1st rowTT
2nd rowA
3rd row01
4th row011
5th row0111
ValueCountFrequency (%)
tt 1
 
< 0.1%
52101 1
 
< 0.1%
52921 1
 
< 0.1%
5292 1
 
< 0.1%
52919 1
 
< 0.1%
52915 1
 
< 0.1%
52914 1
 
< 0.1%
52913 1
 
< 0.1%
52912 1
 
< 0.1%
52911 1
 
< 0.1%
Other values (1994) 1994
99.5%
2023-12-12T21:45:42.822164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1836
20.9%
2 1739
19.8%
9 890
10.1%
0 835
9.5%
3 833
9.5%
4 812
9.3%
6 555
 
6.3%
5 507
 
5.8%
7 447
 
5.1%
8 297
 
3.4%
Other values (20) 21
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8751
99.8%
Uppercase Letter 21
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 2
 
9.5%
J 1
 
4.8%
Q 1
 
4.8%
P 1
 
4.8%
O 1
 
4.8%
R 1
 
4.8%
N 1
 
4.8%
L 1
 
4.8%
M 1
 
4.8%
K 1
 
4.8%
Other values (10) 10
47.6%
Decimal Number
ValueCountFrequency (%)
1 1836
21.0%
2 1739
19.9%
9 890
10.2%
0 835
9.5%
3 833
9.5%
4 812
9.3%
6 555
 
6.3%
5 507
 
5.8%
7 447
 
5.1%
8 297
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 8751
99.8%
Latin 21
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 2
 
9.5%
J 1
 
4.8%
Q 1
 
4.8%
P 1
 
4.8%
O 1
 
4.8%
R 1
 
4.8%
N 1
 
4.8%
L 1
 
4.8%
M 1
 
4.8%
K 1
 
4.8%
Other values (10) 10
47.6%
Common
ValueCountFrequency (%)
1 1836
21.0%
2 1739
19.9%
9 890
10.2%
0 835
9.5%
3 833
9.5%
4 812
9.3%
6 555
 
6.3%
5 507
 
5.8%
7 447
 
5.1%
8 297
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1836
20.9%
2 1739
19.8%
9 890
10.1%
0 835
9.5%
3 833
9.5%
4 812
9.3%
6 555
 
6.3%
5 507
 
5.8%
7 447
 
5.1%
8 297
 
3.4%
Other values (20) 21
 
0.2%

산업분류명
Text

Distinct1736
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-12T21:45:43.158695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length12.633234
Min length2

Characters and Unicode

Total characters25317
Distinct characters463
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1508 ?
Unique (%)75.2%

Sample

1st row전체산업
2nd row농업, 임업 및 어업(01-03)
3rd row농업
4th row작물 재배업
5th row곡물 및 기타 식량작물 재배업
ValueCountFrequency (%)
및 876
 
11.8%
제조업 678
 
9.1%
기타 360
 
4.8%
서비스업 149
 
2.0%
도매업 120
 
1.6%
소매업 106
 
1.4%
외 89
 
1.2%
그 86
 
1.2%
운영업 76
 
1.0%
운송업 50
 
0.7%
Other values (1692) 4842
65.2%
2023-12-12T21:45:43.663370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5434
21.5%
업 1947
 
7.7%
제 995
 
3.9%
및 876
 
3.5%
조 830
 
3.3%
기 799
 
3.2%
품 407
 
1.6%
타 369
 
1.5%
용 356
 
1.4%
비 346
 
1.4%
Other values (453) 12958
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19436
76.8%
Space Separator 5434
 
21.5%
Other Punctuation 308
 
1.2%
Decimal Number 80
 
0.3%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1947
 
10.0%
제 995
 
5.1%
및 876
 
4.5%
조 830
 
4.3%
기 799
 
4.1%
품 407
 
2.1%
타 369
 
1.9%
용 356
 
1.8%
비 346
 
1.8%
물 295
 
1.5%
Other values (437) 12216
62.9%
Decimal Number
ValueCountFrequency (%)
1 16
20.0%
4 10
12.5%
6 10
12.5%
5 9
11.2%
0 7
8.8%
8 7
8.8%
3 7
8.8%
9 6
 
7.5%
7 6
 
7.5%
2 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 298
96.8%
; 10
 
3.2%
Space Separator
ValueCountFrequency (%)
5434
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19436
76.8%
Common 5881
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1947
 
10.0%
제 995
 
5.1%
및 876
 
4.5%
조 830
 
4.3%
기 799
 
4.1%
품 407
 
2.1%
타 369
 
1.9%
용 356
 
1.8%
비 346
 
1.8%
물 295
 
1.5%
Other values (437) 12216
62.9%
Common
ValueCountFrequency (%)
5434
92.4%
, 298
 
5.1%
) 22
 
0.4%
( 22
 
0.4%
1 16
 
0.3%
- 15
 
0.3%
4 10
 
0.2%
6 10
 
0.2%
; 10
 
0.2%
5 9
 
0.2%
Other values (6) 35
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19384
76.6%
ASCII 5881
 
23.2%
Compat Jamo 52
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5434
92.4%
, 298
 
5.1%
) 22
 
0.4%
( 22
 
0.4%
1 16
 
0.3%
- 15
 
0.3%
4 10
 
0.2%
6 10
 
0.2%
; 10
 
0.2%
5 9
 
0.2%
Other values (6) 35
 
0.6%
Hangul
ValueCountFrequency (%)
업 1947
 
10.0%
제 995
 
5.1%
및 876
 
4.5%
조 830
 
4.3%
기 799
 
4.1%
품 407
 
2.1%
타 369
 
1.9%
용 356
 
1.8%
비 346
 
1.8%
물 295
 
1.5%
Other values (436) 12164
62.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 52
100.0%

사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct203
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.808383
Minimum0
Maximum18306
Zeros821
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:43.811080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile142
Maximum18306
Range18306
Interquartile range (IQR)13

Descriptive statistics

Standard deviation491.41087
Coefficient of variation (CV)8.9659801
Kurtosis971.84009
Mean54.808383
Median Absolute Deviation (MAD)1
Skewness27.939797
Sum109836
Variance241484.65
MonotonicityNot monotonic
2023-12-12T21:45:44.012654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 821
41.0%
1 202
 
10.1%
2 103
 
5.1%
3 88
 
4.4%
4 57
 
2.8%
5 48
 
2.4%
6 36
 
1.8%
7 28
 
1.4%
8 28
 
1.4%
14 23
 
1.1%
Other values (193) 570
28.4%
ValueCountFrequency (%)
0 821
41.0%
1 202
 
10.1%
2 103
 
5.1%
3 88
 
4.4%
4 57
 
2.8%
5 48
 
2.4%
6 36
 
1.8%
7 28
 
1.4%
8 28
 
1.4%
9 22
 
1.1%
ValueCountFrequency (%)
18306 1
< 0.1%
6118 1
< 0.1%
4744 1
< 0.1%
4483 1
< 0.1%
3019 1
< 0.1%
2821 2
0.1%
2668 1
< 0.1%
2526 1
< 0.1%
2454 1
< 0.1%
1733 1
< 0.1%

종사자수_계
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct344
Distinct (%)20.2%
Missing305
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean240.82519
Minimum0
Maximum69033
Zeros821
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:44.162299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q368
95-th percentile827.8
Maximum69033
Range69033
Interquartile range (IQR)68

Descriptive statistics

Standard deviation1940.1554
Coefficient of variation (CV)8.0562809
Kurtosis946.67756
Mean240.82519
Median Absolute Deviation (MAD)4
Skewness27.95799
Sum409162
Variance3764202.9
MonotonicityNot monotonic
2023-12-12T21:45:44.331372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 821
41.0%
4 22
 
1.1%
11 22
 
1.1%
3 19
 
0.9%
10 18
 
0.9%
7 17
 
0.8%
8 17
 
0.8%
9 16
 
0.8%
6 15
 
0.7%
29 14
 
0.7%
Other values (334) 718
35.8%
(Missing) 305
 
15.2%
ValueCountFrequency (%)
0 821
41.0%
3 19
 
0.9%
4 22
 
1.1%
5 10
 
0.5%
6 15
 
0.7%
7 17
 
0.8%
8 17
 
0.8%
9 16
 
0.8%
10 18
 
0.9%
11 22
 
1.1%
ValueCountFrequency (%)
69033 1
< 0.1%
23633 1
< 0.1%
11946 1
< 0.1%
11705 1
< 0.1%
11515 1
< 0.1%
7867 1
< 0.1%
7829 1
< 0.1%
7350 2
0.1%
6970 1
< 0.1%
6964 1
< 0.1%

종사자수_남
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct275
Distinct (%)16.2%
Missing305
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean143.54208
Minimum0
Maximum41057
Zeros825
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:44.532141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q336
95-th percentile391.1
Maximum41057
Range41057
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1211.3459
Coefficient of variation (CV)8.4389596
Kurtosis802.50082
Mean143.54208
Median Absolute Deviation (MAD)2
Skewness25.639753
Sum243878
Variance1467358.8
MonotonicityNot monotonic
2023-12-12T21:45:44.695396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 825
41.2%
3 34
 
1.7%
8 31
 
1.5%
6 27
 
1.3%
4 26
 
1.3%
2 24
 
1.2%
5 23
 
1.1%
11 22
 
1.1%
13 15
 
0.7%
9 14
 
0.7%
Other values (265) 658
32.8%
(Missing) 305
 
15.2%
ValueCountFrequency (%)
0 825
41.2%
1 8
 
0.4%
2 24
 
1.2%
3 34
 
1.7%
4 26
 
1.3%
5 23
 
1.1%
6 27
 
1.3%
7 13
 
0.6%
8 31
 
1.5%
9 14
 
0.7%
ValueCountFrequency (%)
41057 1
< 0.1%
18611 1
< 0.1%
8119 1
< 0.1%
7978 1
< 0.1%
6842 1
< 0.1%
6440 2
0.1%
6109 1
< 0.1%
5919 1
< 0.1%
4154 1
< 0.1%
3641 1
< 0.1%

종사자수_여
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct238
Distinct (%)14.0%
Missing305
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean97.283108
Minimum0
Maximum27976
Zeros842
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:44.844683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q322
95-th percentile336.8
Maximum27976
Range27976
Interquartile range (IQR)22

Descriptive statistics

Standard deviation770.65509
Coefficient of variation (CV)7.921777
Kurtosis1014.9077
Mean97.283108
Median Absolute Deviation (MAD)1
Skewness28.926767
Sum165284
Variance593909.26
MonotonicityNot monotonic
2023-12-12T21:45:45.012438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
42.0%
1 41
 
2.0%
3 41
 
2.0%
2 40
 
2.0%
5 34
 
1.7%
4 33
 
1.6%
6 29
 
1.4%
7 22
 
1.1%
8 21
 
1.0%
12 18
 
0.9%
Other values (228) 578
28.8%
(Missing) 305
 
15.2%
ValueCountFrequency (%)
0 842
42.0%
1 41
 
2.0%
2 40
 
2.0%
3 41
 
2.0%
4 33
 
1.6%
5 34
 
1.7%
6 29
 
1.4%
7 22
 
1.1%
8 21
 
1.0%
9 18
 
0.9%
ValueCountFrequency (%)
27976 1
< 0.1%
6027 1
< 0.1%
5022 1
< 0.1%
4771 1
< 0.1%
4267 1
< 0.1%
3952 1
< 0.1%
3586 1
< 0.1%
3537 1
< 0.1%
3327 1
< 0.1%
2810 1
< 0.1%

조직형태별_개인_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct174
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.739521
Minimum0
Maximum14275
Zeros1051
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:45.180660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile115
Maximum14275
Range14275
Interquartile range (IQR)7

Descriptive statistics

Standard deviation393.82287
Coefficient of variation (CV)9.2144896
Kurtosis879.20388
Mean42.739521
Median Absolute Deviation (MAD)0
Skewness26.40869
Sum85650
Variance155096.45
MonotonicityNot monotonic
2023-12-12T21:45:45.336558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1051
52.4%
1 166
 
8.3%
2 87
 
4.3%
4 76
 
3.8%
3 64
 
3.2%
5 32
 
1.6%
7 23
 
1.1%
6 22
 
1.1%
8 22
 
1.1%
10 21
 
1.0%
Other values (164) 440
22.0%
ValueCountFrequency (%)
0 1051
52.4%
1 166
 
8.3%
2 87
 
4.3%
3 64
 
3.2%
4 76
 
3.8%
5 32
 
1.6%
6 22
 
1.1%
7 23
 
1.1%
8 22
 
1.1%
9 15
 
0.7%
ValueCountFrequency (%)
14275 1
< 0.1%
5235 1
< 0.1%
4087 1
< 0.1%
3317 1
< 0.1%
2762 1
< 0.1%
2575 2
0.1%
2503 1
< 0.1%
2384 1
< 0.1%
2211 1
< 0.1%
1624 1
< 0.1%

조직형태별_개인_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct221
Distinct (%)12.6%
Missing253
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean81.100514
Minimum0
Maximum23835
Zeros1051
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:45.508279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile243
Maximum23835
Range23835
Interquartile range (IQR)18

Descriptive statistics

Standard deviation680.06408
Coefficient of variation (CV)8.3854472
Kurtosis868.35554
Mean81.100514
Median Absolute Deviation (MAD)0
Skewness26.446156
Sum142007
Variance462487.15
MonotonicityNot monotonic
2023-12-12T21:45:45.684583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1051
52.4%
4 34
 
1.7%
9 33
 
1.6%
8 22
 
1.1%
5 20
 
1.0%
6 20
 
1.0%
7 19
 
0.9%
3 19
 
0.9%
12 16
 
0.8%
10 15
 
0.7%
Other values (211) 502
25.0%
(Missing) 253
 
12.6%
ValueCountFrequency (%)
0 1051
52.4%
3 19
 
0.9%
4 34
 
1.7%
5 20
 
1.0%
6 20
 
1.0%
7 19
 
0.9%
8 22
 
1.1%
9 33
 
1.6%
10 15
 
0.7%
11 11
 
0.5%
ValueCountFrequency (%)
23835 1
< 0.1%
7787 1
< 0.1%
5880 1
< 0.1%
5325 1
< 0.1%
5028 1
< 0.1%
4283 1
< 0.1%
3332 1
< 0.1%
2921 1
< 0.1%
2609 2
0.1%
2245 1
< 0.1%

조직형태별_회사법인_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8532934
Minimum0
Maximum3291
Zeros1287
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:45.838704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile24
Maximum3291
Range3291
Interquartile range (IQR)2

Descriptive statistics

Standard deviation92.969159
Coefficient of variation (CV)9.4353385
Kurtosis811.06556
Mean9.8532934
Median Absolute Deviation (MAD)0
Skewness25.394227
Sum19746
Variance8643.2645
MonotonicityNot monotonic
2023-12-12T21:45:46.006267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1287
64.2%
1 212
 
10.6%
2 94
 
4.7%
3 57
 
2.8%
4 34
 
1.7%
5 31
 
1.5%
11 23
 
1.1%
6 23
 
1.1%
7 21
 
1.0%
9 19
 
0.9%
Other values (80) 203
 
10.1%
ValueCountFrequency (%)
0 1287
64.2%
1 212
 
10.6%
2 94
 
4.7%
3 57
 
2.8%
4 34
 
1.7%
5 31
 
1.5%
6 23
 
1.1%
7 21
 
1.0%
8 15
 
0.7%
9 19
 
0.9%
ValueCountFrequency (%)
3291 1
< 0.1%
1315 1
< 0.1%
942 1
< 0.1%
909 1
< 0.1%
861 1
< 0.1%
780 1
< 0.1%
721 1
< 0.1%
470 1
< 0.1%
379 1
< 0.1%
301 2
0.1%

조직형태별_회사법인_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct200
Distinct (%)11.8%
Missing306
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean120.44817
Minimum0
Maximum34523
Zeros1287
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:46.170350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile287
Maximum34523
Range34523
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1068.5667
Coefficient of variation (CV)8.8715886
Kurtosis681.30195
Mean120.44817
Median Absolute Deviation (MAD)0
Skewness23.380741
Sum204521
Variance1141834.7
MonotonicityNot monotonic
2023-12-12T21:45:46.324951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1287
64.2%
10 11
 
0.5%
16 9
 
0.4%
26 8
 
0.4%
7 8
 
0.4%
15 7
 
0.3%
6 7
 
0.3%
18 7
 
0.3%
75 6
 
0.3%
19 6
 
0.3%
Other values (190) 342
 
17.1%
(Missing) 306
 
15.3%
ValueCountFrequency (%)
0 1287
64.2%
3 1
 
< 0.1%
4 2
 
0.1%
5 3
 
0.1%
6 7
 
0.3%
7 8
 
0.4%
8 4
 
0.2%
9 6
 
0.3%
10 11
 
0.5%
11 2
 
0.1%
ValueCountFrequency (%)
34523 1
< 0.1%
17558 1
< 0.1%
8828 1
< 0.1%
8663 1
< 0.1%
5281 1
< 0.1%
4786 1
< 0.1%
4741 2
0.1%
4725 2
0.1%
4126 1
< 0.1%
4112 1
< 0.1%

조직형태별_회사이외법인_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8502994
Minimum0
Maximum618
Zeros1665
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:46.462034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum618
Range618
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.538297
Coefficient of variation (CV)8.9381735
Kurtosis976.6652
Mean1.8502994
Median Absolute Deviation (MAD)0
Skewness27.754793
Sum3708
Variance273.51527
MonotonicityNot monotonic
2023-12-12T21:45:46.608868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 1665
83.1%
1 127
 
6.3%
2 54
 
2.7%
4 27
 
1.3%
3 21
 
1.0%
5 21
 
1.0%
6 9
 
0.4%
10 6
 
0.3%
14 6
 
0.3%
13 5
 
0.2%
Other values (28) 63
 
3.1%
ValueCountFrequency (%)
0 1665
83.1%
1 127
 
6.3%
2 54
 
2.7%
3 21
 
1.0%
4 27
 
1.3%
5 21
 
1.0%
6 9
 
0.4%
7 4
 
0.2%
8 4
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
618 1
< 0.1%
165 2
0.1%
123 1
< 0.1%
112 1
< 0.1%
107 2
0.1%
90 2
0.1%
65 2
0.1%
59 2
0.1%
56 1
< 0.1%
53 1
< 0.1%

조직형태별_회사이외법인_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct101
Distinct (%)5.5%
Missing181
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean29.118486
Minimum0
Maximum9759
Zeros1665
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:46.759134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.5
Maximum9759
Range9759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation275.13894
Coefficient of variation (CV)9.448944
Kurtosis871.13342
Mean29.118486
Median Absolute Deviation (MAD)0
Skewness26.119935
Sum53083
Variance75701.438
MonotonicityNot monotonic
2023-12-12T21:45:47.246688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1665
83.1%
5 5
 
0.2%
66 5
 
0.2%
122 5
 
0.2%
146 4
 
0.2%
256 4
 
0.2%
14 4
 
0.2%
191 3
 
0.1%
63 3
 
0.1%
104 3
 
0.1%
Other values (91) 122
 
6.1%
(Missing) 181
 
9.0%
ValueCountFrequency (%)
0 1665
83.1%
3 2
 
0.1%
5 5
 
0.2%
9 2
 
0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 2
 
0.1%
13 1
 
< 0.1%
14 4
 
0.2%
15 2
 
0.1%
ValueCountFrequency (%)
9759 1
< 0.1%
2494 2
0.1%
2151 1
< 0.1%
1792 1
< 0.1%
1670 2
0.1%
1462 2
0.1%
1084 1
< 0.1%
1067 1
< 0.1%
1041 1
< 0.1%
975 1
< 0.1%

조직형태별_비법인_사업체수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36526946
Minimum0
Maximum122
Zeros1928
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:47.366281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum122
Range122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0771775
Coefficient of variation (CV)11.162109
Kurtosis463.02605
Mean0.36526946
Median Absolute Deviation (MAD)0
Skewness19.061268
Sum732
Variance16.623376
MonotonicityNot monotonic
2023-12-12T21:45:47.481615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1928
96.2%
1 36
 
1.8%
2 9
 
0.4%
4 5
 
0.2%
3 4
 
0.2%
35 2
 
0.1%
59 2
 
0.1%
17 2
 
0.1%
16 2
 
0.1%
34 2
 
0.1%
Other values (10) 12
 
0.6%
ValueCountFrequency (%)
0 1928
96.2%
1 36
 
1.8%
2 9
 
0.4%
3 4
 
0.2%
4 5
 
0.2%
7 2
 
0.1%
8 2
 
0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
16 2
 
0.1%
ValueCountFrequency (%)
122 1
< 0.1%
59 2
0.1%
52 1
< 0.1%
35 2
0.1%
34 2
0.1%
33 1
< 0.1%
25 1
< 0.1%
21 1
< 0.1%
18 1
< 0.1%
17 2
0.1%

조직형태별_비법인_종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)1.1%
Missing45
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean2.7018887
Minimum0
Maximum916
Zeros1928
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:47.605186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum916
Range916
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.625748
Coefficient of variation (CV)15.036055
Kurtosis337.03965
Mean2.7018887
Median Absolute Deviation (MAD)0
Skewness18.074152
Sum5293
Variance1650.4514
MonotonicityNot monotonic
2023-12-12T21:45:47.723432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 1928
96.2%
8 3
 
0.1%
56 2
 
0.1%
48 2
 
0.1%
24 2
 
0.1%
36 2
 
0.1%
40 2
 
0.1%
732 2
 
0.1%
100 2
 
0.1%
84 2
 
0.1%
Other values (12) 12
 
0.6%
(Missing) 45
 
2.2%
ValueCountFrequency (%)
0 1928
96.2%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
8 3
 
0.1%
9 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
24 2
 
0.1%
33 1
 
< 0.1%
ValueCountFrequency (%)
916 1
< 0.1%
732 2
0.1%
719 1
< 0.1%
619 1
< 0.1%
613 1
< 0.1%
100 2
0.1%
84 2
0.1%
73 1
< 0.1%
56 2
0.1%
48 2
0.1%

사업체구분별_단독_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct190
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.889222
Minimum0
Maximum16663
Zeros882
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:47.851650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile128.85
Maximum16663
Range16663
Interquartile range (IQR)11

Descriptive statistics

Standard deviation450.26785
Coefficient of variation (CV)9.0253534
Kurtosis947.94629
Mean49.889222
Median Absolute Deviation (MAD)1
Skewness27.535649
Sum99978
Variance202741.14
MonotonicityNot monotonic
2023-12-12T21:45:48.070888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 882
44.0%
1 203
 
10.1%
2 94
 
4.7%
3 82
 
4.1%
4 56
 
2.8%
5 46
 
2.3%
6 37
 
1.8%
8 26
 
1.3%
11 25
 
1.2%
7 25
 
1.2%
Other values (180) 528
26.3%
ValueCountFrequency (%)
0 882
44.0%
1 203
 
10.1%
2 94
 
4.7%
3 82
 
4.1%
4 56
 
2.8%
5 46
 
2.3%
6 37
 
1.8%
7 25
 
1.2%
8 26
 
1.3%
9 16
 
0.8%
ValueCountFrequency (%)
16663 1
< 0.1%
5656 1
< 0.1%
4260 1
< 0.1%
4138 1
< 0.1%
2962 1
< 0.1%
2770 2
0.1%
2543 1
< 0.1%
2412 1
< 0.1%
2403 1
< 0.1%
1628 1
< 0.1%

사업체구분별_단독_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct290
Distinct (%)17.0%
Missing297
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean152.53661
Minimum0
Maximum43867
Zeros882
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:48.247681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q341
95-th percentile474.8
Maximum43867
Range43867
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1236.7292
Coefficient of variation (CV)8.1077528
Kurtosis928.22462
Mean152.53661
Median Absolute Deviation (MAD)0
Skewness27.518978
Sum260380
Variance1529499
MonotonicityNot monotonic
2023-12-12T21:45:48.391283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 882
44.0%
4 24
 
1.2%
8 21
 
1.0%
7 20
 
1.0%
9 19
 
0.9%
11 18
 
0.9%
10 18
 
0.9%
3 17
 
0.8%
18 16
 
0.8%
6 16
 
0.8%
Other values (280) 656
32.7%
(Missing) 297
 
14.8%
ValueCountFrequency (%)
0 882
44.0%
3 17
 
0.8%
4 24
 
1.2%
5 13
 
0.6%
6 16
 
0.8%
7 20
 
1.0%
8 21
 
1.0%
9 19
 
0.9%
10 18
 
0.9%
11 18
 
0.9%
ValueCountFrequency (%)
43867 1
< 0.1%
13834 1
< 0.1%
9232 1
< 0.1%
6323 1
< 0.1%
6223 1
< 0.1%
6046 1
< 0.1%
6024 1
< 0.1%
5681 2
0.1%
5607 1
< 0.1%
5301 1
< 0.1%

사업체구분별_공장 및 지사_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct59
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0808383
Minimum0
Maximum1363
Zeros1458
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:48.510026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12.85
Maximum1363
Range1363
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.023538
Coefficient of variation (CV)9.0725323
Kurtosis927.98802
Mean4.0808383
Median Absolute Deviation (MAD)0
Skewness27.176691
Sum8178
Variance1370.7423
MonotonicityNot monotonic
2023-12-12T21:45:48.642426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1458
72.8%
1 185
 
9.2%
2 86
 
4.3%
3 54
 
2.7%
4 33
 
1.6%
5 22
 
1.1%
9 12
 
0.6%
8 11
 
0.5%
6 11
 
0.5%
11 11
 
0.5%
Other values (49) 121
 
6.0%
ValueCountFrequency (%)
0 1458
72.8%
1 185
 
9.2%
2 86
 
4.3%
3 54
 
2.7%
4 33
 
1.6%
5 22
 
1.1%
6 11
 
0.5%
7 7
 
0.3%
8 11
 
0.5%
9 12
 
0.6%
ValueCountFrequency (%)
1363 1
< 0.1%
413 1
< 0.1%
375 1
< 0.1%
336 1
< 0.1%
311 1
< 0.1%
297 1
< 0.1%
272 1
< 0.1%
195 1
< 0.1%
123 2
0.1%
116 2
0.1%

사업체구분별_공장 및 지사_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct148
Distinct (%)8.5%
Missing271
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean54.323139
Minimum0
Maximum16893
Zeros1458
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:48.774647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile148
Maximum16893
Range16893
Interquartile range (IQR)0

Descriptive statistics

Standard deviation474.97807
Coefficient of variation (CV)8.7435681
Kurtosis923.05361
Mean54.323139
Median Absolute Deviation (MAD)0
Skewness27.217913
Sum94142
Variance225604.16
MonotonicityNot monotonic
2023-12-12T21:45:48.905189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1458
72.8%
42 7
 
0.3%
9 7
 
0.3%
16 6
 
0.3%
103 5
 
0.2%
726 5
 
0.2%
26 5
 
0.2%
11 5
 
0.2%
13 5
 
0.2%
6 5
 
0.2%
Other values (138) 225
 
11.2%
(Missing) 271
 
13.5%
ValueCountFrequency (%)
0 1458
72.8%
5 1
 
< 0.1%
6 5
 
0.2%
7 2
 
0.1%
8 3
 
0.1%
9 7
 
0.3%
10 3
 
0.1%
11 5
 
0.2%
12 2
 
0.1%
13 5
 
0.2%
ValueCountFrequency (%)
16893 1
< 0.1%
5104 1
< 0.1%
2897 1
< 0.1%
2820 1
< 0.1%
2547 1
< 0.1%
2387 1
< 0.1%
2282 1
< 0.1%
2090 1
< 0.1%
1905 1
< 0.1%
1831 1
< 0.1%

사업체구분별_본사 및 본점_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83832335
Minimum0
Maximum280
Zeros1731
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:49.014009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum280
Range280
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.6211342
Coefficient of variation (CV)9.0909243
Kurtosis928.15713
Mean0.83832335
Median Absolute Deviation (MAD)0
Skewness27.278744
Sum1680
Variance58.081686
MonotonicityNot monotonic
2023-12-12T21:45:49.114775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 1731
86.4%
1 113
 
5.6%
2 48
 
2.4%
3 29
 
1.4%
5 16
 
0.8%
4 13
 
0.6%
6 11
 
0.5%
9 7
 
0.3%
7 5
 
0.2%
20 4
 
0.2%
Other values (17) 27
 
1.3%
ValueCountFrequency (%)
0 1731
86.4%
1 113
 
5.6%
2 48
 
2.4%
3 29
 
1.4%
4 13
 
0.6%
5 16
 
0.8%
6 11
 
0.5%
7 5
 
0.2%
8 3
 
0.1%
9 7
 
0.3%
ValueCountFrequency (%)
280 1
< 0.1%
109 1
< 0.1%
71 1
< 0.1%
67 1
< 0.1%
51 1
< 0.1%
49 1
< 0.1%
40 1
< 0.1%
35 2
0.1%
32 1
< 0.1%
28 1
< 0.1%

사업체구분별_본사 및 본점_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)3.7%
Missing161
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean23.901248
Minimum0
Maximum8273
Zeros1731
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:49.238535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum8273
Range8273
Interquartile range (IQR)0

Descriptive statistics

Standard deviation255.68176
Coefficient of variation (CV)10.697423
Kurtosis659.27263
Mean23.901248
Median Absolute Deviation (MAD)0
Skewness23.061952
Sum44050
Variance65373.163
MonotonicityNot monotonic
2023-12-12T21:45:49.362295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1731
86.4%
13 7
 
0.3%
34 5
 
0.2%
170 5
 
0.2%
42 5
 
0.2%
30 5
 
0.2%
22 4
 
0.2%
825 4
 
0.2%
65 3
 
0.1%
29 3
 
0.1%
Other values (58) 71
 
3.5%
(Missing) 161
 
8.0%
ValueCountFrequency (%)
0 1731
86.4%
4 1
 
< 0.1%
6 1
 
< 0.1%
9 2
 
0.1%
10 2
 
0.1%
11 1
 
< 0.1%
12 2
 
0.1%
13 7
 
0.3%
21 2
 
0.1%
22 4
 
0.2%
ValueCountFrequency (%)
8273 1
< 0.1%
4695 1
< 0.1%
2485 1
< 0.1%
2472 1
< 0.1%
1385 2
0.1%
1299 1
< 0.1%
1103 1
< 0.1%
1053 1
< 0.1%
1017 1
< 0.1%
976 1
< 0.1%

종사자규모별_1명 이상 4명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct187
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.140719
Minimum0
Maximum16079
Zeros921
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:49.492660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile127.55
Maximum16079
Range16079
Interquartile range (IQR)10

Descriptive statistics

Standard deviation436.41734
Coefficient of variation (CV)9.0654512
Kurtosis934.18805
Mean48.140719
Median Absolute Deviation (MAD)1
Skewness27.339759
Sum96474
Variance190460.09
MonotonicityNot monotonic
2023-12-12T21:45:49.620297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
46.0%
1 201
 
10.0%
2 96
 
4.8%
3 83
 
4.1%
4 57
 
2.8%
5 39
 
1.9%
6 33
 
1.6%
7 31
 
1.5%
11 21
 
1.0%
9 20
 
1.0%
Other values (177) 502
25.0%
ValueCountFrequency (%)
0 921
46.0%
1 201
 
10.0%
2 96
 
4.8%
3 83
 
4.1%
4 57
 
2.8%
5 39
 
1.9%
6 33
 
1.6%
7 31
 
1.5%
8 17
 
0.8%
9 20
 
1.0%
ValueCountFrequency (%)
16079 1
< 0.1%
5747 1
< 0.1%
4287 1
< 0.1%
3911 1
< 0.1%
2815 1
< 0.1%
2633 2
0.1%
2400 1
< 0.1%
2285 1
< 0.1%
2267 1
< 0.1%
1693 1
< 0.1%

종사자규모별_1명 이상 4명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct227
Distinct (%)13.3%
Missing297
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean83.525483
Minimum0
Maximum23879
Zeros921
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:49.755867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324
95-th percentile234.9
Maximum23879
Range23879
Interquartile range (IQR)24

Descriptive statistics

Standard deviation690.53032
Coefficient of variation (CV)8.2673011
Kurtosis845.61655
Mean83.525483
Median Absolute Deviation (MAD)0
Skewness26.122789
Sum142578
Variance476832.13
MonotonicityNot monotonic
2023-12-12T21:45:49.908228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 921
46.0%
6 34
 
1.7%
4 30
 
1.5%
3 27
 
1.3%
7 25
 
1.2%
10 25
 
1.2%
8 23
 
1.1%
12 22
 
1.1%
9 19
 
0.9%
5 18
 
0.9%
Other values (217) 563
28.1%
(Missing) 297
 
14.8%
ValueCountFrequency (%)
0 921
46.0%
3 27
 
1.3%
4 30
 
1.5%
5 18
 
0.9%
6 34
 
1.7%
7 25
 
1.2%
8 23
 
1.1%
9 19
 
0.9%
10 25
 
1.2%
11 15
 
0.7%
ValueCountFrequency (%)
23879 1
< 0.1%
8342 1
< 0.1%
5962 1
< 0.1%
5176 1
< 0.1%
4253 1
< 0.1%
4027 1
< 0.1%
2966 1
< 0.1%
2760 2
0.1%
2519 1
< 0.1%
2391 1
< 0.1%

종사자규모별_5명 이상 9명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7844311
Minimum0
Maximum1264
Zeros1397
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:50.060408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1264
Range1264
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.004279
Coefficient of variation (CV)8.9853079
Kurtosis962.67191
Mean3.7844311
Median Absolute Deviation (MAD)0
Skewness27.779024
Sum7584
Variance1156.291
MonotonicityNot monotonic
2023-12-12T21:45:50.201611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1397
69.7%
1 218
 
10.9%
2 109
 
5.4%
3 56
 
2.8%
4 30
 
1.5%
5 22
 
1.1%
7 20
 
1.0%
6 18
 
0.9%
8 10
 
0.5%
11 9
 
0.4%
Other values (51) 115
 
5.7%
ValueCountFrequency (%)
0 1397
69.7%
1 218
 
10.9%
2 109
 
5.4%
3 56
 
2.8%
4 30
 
1.5%
5 22
 
1.1%
6 18
 
0.9%
7 20
 
1.0%
8 10
 
0.5%
9 8
 
0.4%
ValueCountFrequency (%)
1264 1
< 0.1%
403 1
< 0.1%
305 1
< 0.1%
298 1
< 0.1%
276 1
< 0.1%
267 1
< 0.1%
204 1
< 0.1%
189 1
< 0.1%
174 1
< 0.1%
153 1
< 0.1%

종사자규모별_5명 이상 9명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct125
Distinct (%)7.5%
Missing327
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean27.100179
Minimum0
Maximum8032
Zeros1397
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:50.342066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile89
Maximum8032
Range8032
Interquartile range (IQR)0

Descriptive statistics

Standard deviation236.24823
Coefficient of variation (CV)8.7175894
Kurtosis804.39591
Mean27.100179
Median Absolute Deviation (MAD)0
Skewness25.402313
Sum45447
Variance55813.227
MonotonicityNot monotonic
2023-12-12T21:45:50.512693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1397
69.7%
19 12
 
0.6%
22 10
 
0.5%
18 9
 
0.4%
21 9
 
0.4%
38 8
 
0.4%
29 8
 
0.4%
34 7
 
0.3%
42 7
 
0.3%
17 7
 
0.3%
Other values (115) 203
 
10.1%
(Missing) 327
 
16.3%
ValueCountFrequency (%)
0 1397
69.7%
15 3
 
0.1%
16 3
 
0.1%
17 7
 
0.3%
18 9
 
0.4%
19 12
 
0.6%
20 3
 
0.1%
21 9
 
0.4%
22 10
 
0.5%
23 6
 
0.3%
ValueCountFrequency (%)
8032 1
< 0.1%
2612 1
< 0.1%
1951 1
< 0.1%
1908 1
< 0.1%
1726 1
< 0.1%
1713 1
< 0.1%
1257 1
< 0.1%
1169 1
< 0.1%
1096 1
< 0.1%
971 1
< 0.1%

종사자규모별_10명 이상 19명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5658683
Minimum0
Maximum523
Zeros1608
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:50.679078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum523
Range523
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.250808
Coefficient of variation (CV)9.1008983
Kurtosis930.65847
Mean1.5658683
Median Absolute Deviation (MAD)0
Skewness27.417079
Sum3138
Variance203.08552
MonotonicityNot monotonic
2023-12-12T21:45:50.821899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 1608
80.2%
1 165
 
8.2%
2 81
 
4.0%
3 31
 
1.5%
6 16
 
0.8%
4 15
 
0.7%
9 13
 
0.6%
8 10
 
0.5%
5 9
 
0.4%
7 8
 
0.4%
Other values (30) 48
 
2.4%
ValueCountFrequency (%)
0 1608
80.2%
1 165
 
8.2%
2 81
 
4.0%
3 31
 
1.5%
4 15
 
0.7%
5 9
 
0.4%
6 16
 
0.8%
7 8
 
0.4%
8 10
 
0.5%
9 13
 
0.6%
ValueCountFrequency (%)
523 1
< 0.1%
224 1
< 0.1%
113 1
< 0.1%
111 1
< 0.1%
97 1
< 0.1%
78 1
< 0.1%
70 1
< 0.1%
67 2
0.1%
66 1
< 0.1%
60 1
< 0.1%

종사자규모별_10명 이상 19명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct94
Distinct (%)5.3%
Missing246
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean21.008532
Minimum0
Maximum6871
Zeros1608
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:50.956171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76
Maximum6871
Range6871
Interquartile range (IQR)0

Descriptive statistics

Standard deviation200.0723
Coefficient of variation (CV)9.5233828
Kurtosis814.0899
Mean21.008532
Median Absolute Deviation (MAD)0
Skewness25.64552
Sum36933
Variance40028.924
MonotonicityNot monotonic
2023-12-12T21:45:51.465475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1608
80.2%
50 7
 
0.3%
86 5
 
0.2%
48 4
 
0.2%
124 4
 
0.2%
68 4
 
0.2%
63 3
 
0.1%
31 3
 
0.1%
138 3
 
0.1%
36 3
 
0.1%
Other values (84) 114
 
5.7%
(Missing) 246
 
12.3%
ValueCountFrequency (%)
0 1608
80.2%
31 3
 
0.1%
32 1
 
< 0.1%
33 1
 
< 0.1%
36 3
 
0.1%
37 1
 
< 0.1%
38 2
 
0.1%
40 2
 
0.1%
41 2
 
0.1%
42 1
 
< 0.1%
ValueCountFrequency (%)
6871 1
< 0.1%
2971 1
< 0.1%
1450 1
< 0.1%
1425 1
< 0.1%
1243 1
< 0.1%
1071 1
< 0.1%
931 1
< 0.1%
914 2
0.1%
903 1
< 0.1%
753 1
< 0.1%

종사자규모별_20명 이상 49명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81736527
Minimum0
Maximum273
Zeros1707
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:51.612978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum273
Range273
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.5232094
Coefficient of variation (CV)9.2042196
Kurtosis901.7091
Mean0.81736527
Median Absolute Deviation (MAD)0
Skewness27.052624
Sum1638
Variance56.59868
MonotonicityNot monotonic
2023-12-12T21:45:51.731513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 1707
85.2%
1 147
 
7.3%
2 58
 
2.9%
3 21
 
1.0%
4 14
 
0.7%
6 13
 
0.6%
5 6
 
0.3%
9 4
 
0.2%
12 4
 
0.2%
38 3
 
0.1%
Other values (18) 27
 
1.3%
ValueCountFrequency (%)
0 1707
85.2%
1 147
 
7.3%
2 58
 
2.9%
3 21
 
1.0%
4 14
 
0.7%
5 6
 
0.3%
6 13
 
0.6%
8 2
 
0.1%
9 4
 
0.2%
10 2
 
0.1%
ValueCountFrequency (%)
273 1
 
< 0.1%
128 1
 
< 0.1%
60 1
 
< 0.1%
58 1
 
< 0.1%
45 1
 
< 0.1%
39 1
 
< 0.1%
38 3
0.1%
29 1
 
< 0.1%
28 2
0.1%
26 1
 
< 0.1%

종사자규모별_20명 이상 49명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)3.5%
Missing205
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean23.053919
Minimum0
Maximum8203
Zeros1707
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:51.894607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70
Maximum8203
Range8203
Interquartile range (IQR)0

Descriptive statistics

Standard deviation237.85901
Coefficient of variation (CV)10.317509
Kurtosis819.04766
Mean23.053919
Median Absolute Deviation (MAD)0
Skewness25.804439
Sum41474
Variance56576.908
MonotonicityNot monotonic
2023-12-12T21:45:52.108346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1707
85.2%
113 10
 
0.5%
199 4
 
0.2%
161 3
 
0.1%
1159 3
 
0.1%
283 2
 
0.1%
223 2
 
0.1%
137 2
 
0.1%
70 2
 
0.1%
131 2
 
0.1%
Other values (53) 62
 
3.1%
(Missing) 205
 
10.2%
ValueCountFrequency (%)
0 1707
85.2%
66 1
 
< 0.1%
70 2
 
0.1%
71 2
 
0.1%
77 1
 
< 0.1%
80 1
 
< 0.1%
84 1
 
< 0.1%
88 1
 
< 0.1%
92 1
 
< 0.1%
100 2
 
0.1%
ValueCountFrequency (%)
8203 1
 
< 0.1%
3836 1
 
< 0.1%
1704 1
 
< 0.1%
1657 1
 
< 0.1%
1235 1
 
< 0.1%
1180 1
 
< 0.1%
1159 3
0.1%
928 2
0.1%
823 1
 
< 0.1%
785 1
 
< 0.1%

종사자규모별_50명 이상 99명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29640719
Minimum0
Maximum99
Zeros1867
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:52.238904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8003935
Coefficient of variation (CV)9.4477922
Kurtosis819.21293
Mean0.29640719
Median Absolute Deviation (MAD)0
Skewness25.51109
Sum594
Variance7.8422038
MonotonicityNot monotonic
2023-12-12T21:45:52.361459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1867
93.2%
1 66
 
3.3%
2 20
 
1.0%
3 14
 
0.7%
6 11
 
0.5%
5 7
 
0.3%
9 6
 
0.3%
20 3
 
0.1%
4 3
 
0.1%
18 2
 
0.1%
Other values (5) 5
 
0.2%
ValueCountFrequency (%)
0 1867
93.2%
1 66
 
3.3%
2 20
 
1.0%
3 14
 
0.7%
4 3
 
0.1%
5 7
 
0.3%
6 11
 
0.5%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 6
 
0.3%
ValueCountFrequency (%)
99 1
 
< 0.1%
48 1
 
< 0.1%
21 1
 
< 0.1%
20 3
 
0.1%
18 2
 
0.1%
9 6
0.3%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 11
0.5%
5 7
0.3%

종사자규모별_50명 이상 99명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct30
Distinct (%)1.6%
Missing86
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean17.904588
Minimum0
Maximum6897
Zeros1867
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:52.476175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6897
Range6897
Interquartile range (IQR)0

Descriptive statistics

Standard deviation199.81724
Coefficient of variation (CV)11.160114
Kurtosis780.95538
Mean17.904588
Median Absolute Deviation (MAD)0
Skewness24.967209
Sum34341
Variance39926.93
MonotonicityNot monotonic
2023-12-12T21:45:52.603450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1867
93.2%
247 5
 
0.2%
1408 3
 
0.1%
484 3
 
0.1%
209 3
 
0.1%
368 3
 
0.1%
602 2
 
0.1%
404 2
 
0.1%
296 2
 
0.1%
1285 2
 
0.1%
Other values (20) 26
 
1.3%
(Missing) 86
 
4.3%
ValueCountFrequency (%)
0 1867
93.2%
187 1
 
< 0.1%
188 1
 
< 0.1%
193 1
 
< 0.1%
196 1
 
< 0.1%
203 2
 
0.1%
209 3
 
0.1%
247 5
 
0.2%
290 2
 
0.1%
296 2
 
0.1%
ValueCountFrequency (%)
6897 1
 
< 0.1%
3371 1
 
< 0.1%
1484 1
 
< 0.1%
1408 3
0.1%
1285 2
0.1%
693 1
 
< 0.1%
678 2
0.1%
607 1
 
< 0.1%
602 2
0.1%
593 1
 
< 0.1%

종사자규모별_100명 이상 299명 이하_사업체수
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16766467
Minimum0
Maximum56
Zeros1896
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:52.760854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum56
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5924912
Coefficient of variation (CV)9.4980726
Kurtosis803.29122
Mean0.16766467
Median Absolute Deviation (MAD)0
Skewness25.215104
Sum336
Variance2.5360283
MonotonicityNot monotonic
2023-12-12T21:45:52.919002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1896
94.6%
1 59
 
2.9%
2 20
 
1.0%
3 8
 
0.4%
6 7
 
0.3%
5 4
 
0.2%
4 2
 
0.1%
15 2
 
0.1%
8 2
 
0.1%
7 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1896
94.6%
1 59
 
2.9%
2 20
 
1.0%
3 8
 
0.4%
4 2
 
0.1%
5 4
 
0.2%
6 7
 
0.3%
7 2
 
0.1%
8 2
 
0.1%
15 2
 
0.1%
ValueCountFrequency (%)
56 1
 
< 0.1%
27 1
 
< 0.1%
15 2
 
0.1%
8 2
 
0.1%
7 2
 
0.1%
6 7
 
0.3%
5 4
 
0.2%
4 2
 
0.1%
3 8
 
0.4%
2 20
1.0%

종사자규모별_100명 이상 299명 이하_종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct20
Distinct (%)1.0%
Missing79
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean20.065974
Minimum0
Maximum9013
Zeros1896
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size17.7 KiB
2023-12-12T21:45:53.046863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9013
Range9013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation263.81935
Coefficient of variation (CV)13.147597
Kurtosis761.11618
Mean20.065974
Median Absolute Deviation (MAD)0
Skewness24.917825
Sum38627
Variance69600.649
MonotonicityNot monotonic
2023-12-12T21:45:53.204341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1896
94.6%
715 4
 
0.2%
425 2
 
0.1%
988 2
 
0.1%
879 2
 
0.1%
2838 2
 
0.1%
639 2
 
0.1%
513 2
 
0.1%
810 2
 
0.1%
1056 1
 
< 0.1%
Other values (10) 10
 
0.5%
(Missing) 79
 
3.9%
ValueCountFrequency (%)
0 1896
94.6%
425 2
 
0.1%
513 2
 
0.1%
540 1
 
< 0.1%
550 1
 
< 0.1%
574 1
 
< 0.1%
604 1
 
< 0.1%
639 2
 
0.1%
715 4
 
0.2%
807 1
 
< 0.1%
ValueCountFrequency (%)
9013 1
< 0.1%
4541 1
< 0.1%
2838 2
0.1%
1469 1
< 0.1%
1244 1
< 0.1%
1185 1
< 0.1%
1056 1
< 0.1%
988 2
0.1%
879 2
0.1%
810 2
0.1%

종사자규모별_300명 이상 499명 이하_사업체수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1971 
1
 
25
2
 
6
8
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row8
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1971
98.4%
1 25
 
1.2%
2 6
 
0.3%
8 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-12T21:45:53.335490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:53.452939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1971
98.4%
1 25
 
1.2%
2 6
 
0.3%
8 1
 
< 0.1%
3 1
 
< 0.1%

종사자규모별_300명 이상 499명 이하_종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1971 
<NA>
 
31
3229
 
1
1126
 
1

Length

Max length4
Median length1
Mean length1.0494012
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row3229
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1971
98.4%
<NA> 31
 
1.5%
3229 1
 
< 0.1%
1126 1
 
< 0.1%

Length

2023-12-12T21:45:53.576136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:53.696407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1971
98.4%
na 31
 
1.5%
3229 1
 
< 0.1%
1126 1
 
< 0.1%

종사자규모별_500명 이상 999명 이하_사업체수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1992 
1
 
7
2
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1992
99.4%
1 7
 
0.3%
2 4
 
0.2%
3 1
 
< 0.1%

Length

2023-12-12T21:45:53.811532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:53.927162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1992
99.4%
1 7
 
0.3%
2 4
 
0.2%
3 1
 
< 0.1%

종사자규모별_500명 이상 999명 이하_종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1992 
<NA>
 
11
1871
 
1

Length

Max length4
Median length1
Mean length1.0179641
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1871
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1992
99.4%
<NA> 11
 
0.5%
1871 1
 
< 0.1%

Length

2023-12-12T21:45:54.049906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:54.158290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1992
99.4%
na 11
 
0.5%
1871 1
 
< 0.1%

종사자규모별_1000명 이상_사업체수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1998 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1998
99.7%
1 6
 
0.3%

Length

2023-12-12T21:45:54.269446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:54.382906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1998
99.7%
1 6
 
0.3%

종사자규모별_1000명 이상_종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
0
1998 
1038
 
5
<NA>
 
1

Length

Max length4
Median length1
Mean length1.008982
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1998
99.7%
1038 5
 
0.2%
<NA> 1
 
< 0.1%

Length

2023-12-12T21:45:54.493642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:54.595375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1998
99.7%
1038 5
 
0.2%
na 1
 
< 0.1%

Sample

산업분류코드_대산업분류코드_중산업분류코드_소산업분류코드_세산업분류코드_세세산업분류코드_해당코드산업분류명사업체수종사자수_계종사자수_남종사자수_여조직형태별_개인_사업체수조직형태별_개인_종사자수조직형태별_회사법인_사업체수조직형태별_회사법인_종사자수조직형태별_회사이외법인_사업체수조직형태별_회사이외법인_종사자수조직형태별_비법인_사업체수조직형태별_비법인_종사자수사업체구분별_단독_사업체수사업체구분별_단독_종사자수사업체구분별_공장 및 지사_사업체수사업체구분별_공장 및 지사_종사자수사업체구분별_본사 및 본점_사업체수사업체구분별_본사 및 본점_종사자수종사자규모별_1명 이상 4명 이하_사업체수종사자규모별_1명 이상 4명 이하_종사자수종사자규모별_5명 이상 9명 이하_사업체수종사자규모별_5명 이상 9명 이하_종사자수종사자규모별_10명 이상 19명 이하_사업체수종사자규모별_10명 이상 19명 이하_종사자수종사자규모별_20명 이상 49명 이하_사업체수종사자규모별_20명 이상 49명 이하_종사자수종사자규모별_50명 이상 99명 이하_사업체수종사자규모별_50명 이상 99명 이하_종사자수종사자규모별_100명 이상 299명 이하_사업체수종사자규모별_100명 이상 299명 이하_종사자수종사자규모별_300명 이상 499명 이하_사업체수종사자규모별_300명 이상 499명 이하_종사자수종사자규모별_500명 이상 999명 이하_사업체수종사자규모별_500명 이상 999명 이하_종사자수종사자규모별_1000명 이상_사업체수종사자규모별_1000명 이상_종사자수
0<NA><NA><NA><NA><NA>TT전체산업1830669033410572797614275238353291345236189759122916166634386713631689328082731607923879126480325236871273820399689756901383229318711<NA>
1A<NA><NA><NA><NA>A농업, 임업 및 어업(01-03)1611291093360016112900009233472631702<NA>3232<NA>411332471<NA>1<NA>0000
2A1<NA><NA><NA>01농업1<NA><NA><NA>001<NA>00001<NA>0000001<NA>00000000000000
3A111<NA><NA>011작물 재배업1<NA><NA><NA>001<NA>00001<NA>0000001<NA>00000000000000
4A111111<NA>0111곡물 및 기타 식량작물 재배업000000000000000000000000000000000000
5A111111111001110곡물 및 기타 식량작물 재배업000000000000000000000000000000000000
6A111112<NA>0112채소, 화훼작물 및 종묘 재배업000000000000000000000000000000000000
7A111112112101121채소작물 재배업000000000000000000000000000000000000
8A111112112201122화훼작물 재배업000000000000000000000000000000000000
9A111112112301123종자 및 묘목 생산업000000000000000000000000000000000000
산업분류코드_대산업분류코드_중산업분류코드_소산업분류코드_세산업분류코드_세세산업분류코드_해당코드산업분류명사업체수종사자수_계종사자수_남종사자수_여조직형태별_개인_사업체수조직형태별_개인_종사자수조직형태별_회사법인_사업체수조직형태별_회사법인_종사자수조직형태별_회사이외법인_사업체수조직형태별_회사이외법인_종사자수조직형태별_비법인_사업체수조직형태별_비법인_종사자수사업체구분별_단독_사업체수사업체구분별_단독_종사자수사업체구분별_공장 및 지사_사업체수사업체구분별_공장 및 지사_종사자수사업체구분별_본사 및 본점_사업체수사업체구분별_본사 및 본점_종사자수종사자규모별_1명 이상 4명 이하_사업체수종사자규모별_1명 이상 4명 이하_종사자수종사자규모별_5명 이상 9명 이하_사업체수종사자규모별_5명 이상 9명 이하_종사자수종사자규모별_10명 이상 19명 이하_사업체수종사자규모별_10명 이상 19명 이하_종사자수종사자규모별_20명 이상 49명 이하_사업체수종사자규모별_20명 이상 49명 이하_종사자수종사자규모별_50명 이상 99명 이하_사업체수종사자규모별_50명 이상 99명 이하_종사자수종사자규모별_100명 이상 299명 이하_사업체수종사자규모별_100명 이상 299명 이하_종사자수종사자규모별_300명 이상 499명 이하_사업체수종사자규모별_300명 이상 499명 이하_종사자수종사자규모별_500명 이상 999명 이하_사업체수종사자규모별_500명 이상 999명 이하_종사자수종사자규모별_1000명 이상_사업체수종사자규모별_1000명 이상_종사자수
1994S969699692<NA>9692장례식장 및 관련 서비스업36422<NA>1<NA>0000360000360000000000000000
1995S9696996929692196921장례식장 및 장의관련 서비스업36422<NA>1<NA>0000360000360000000000000000
1996S9696996929692296922화장터 운영, 묘지 분양 및 관리업000000000000000000000000000000000000
1997S969699699<NA>9699그 외 기타 분류 안된 개인 서비스업981185563971171<NA>0000981180000971091<NA>00000000000000
1998S9696996999699196991예식장업1<NA><NA><NA>1<NA>0000001<NA>0000001<NA>00000000000000
1999S9696996999699296992점술 및 유사 서비스업5052153750520000005052000050520000000000000000
2000S9696996999699396993개인 간병 및 유사 서비스업33032<NA>1<NA>0000330000330000000000000000
2001S9696996999699496994결혼 상담 및 준비 서비스업1<NA><NA><NA>1<NA>0000001<NA>00001<NA>0000000000000000
2002S9696996999699596995애완동물 장묘 및 보호 서비스업593659000000590000590000000000000000
2003S9696996999699996999그 외 기타 달리 분류되지 않은 개인 서비스업3844321238440000003844000038440000000000000000