Overview

Dataset statistics

Number of variables34
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory308.4 B

Variable types

Categorical17
Text1
Numeric16

Dataset

Description산업중분류별업무상질병별현황분석데이터(산업중분류별업무상질병별질병재해자수) 산업안전보건에 대한 통계 자료로써 산업중분류별, 업무상질병별, 질병재해자수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15084681/fileData.do

Alerts

질병재해_염화비닐 has constant value ""Constant
질병재해_연 has constant value ""Constant
질병재해_망간 has constant value ""Constant
질병재해_이상기압 is highly imbalanced (68.6%)Imbalance
질병재해_진동장해 is highly imbalanced (64.6%)Imbalance
질병재해_이황화탄소 is highly imbalanced (78.9%)Imbalance
질병재해_트리클로로에틸렌 is highly imbalanced (78.9%)Imbalance
질병재해_타르 is highly imbalanced (78.9%)Imbalance
질병재해_수은 is highly imbalanced (78.9%)Imbalance
질병재해_간질환 is highly imbalanced (78.9%)Imbalance
중업종 has unique valuesUnique
질병재해_진폐증 has 7 (23.3%) zerosZeros
질병재해_소음성난청 has 1 (3.3%) zerosZeros
질병재해_물리적인자기타 has 15 (50.0%) zerosZeros
질병재해_석면 has 13 (43.3%) zerosZeros
질병재해_기타화학물질 has 20 (66.7%) zerosZeros
질병재해_감염성질환 has 9 (30.0%) zerosZeros
질병재해_직업성피부질환 has 22 (73.3%) zerosZeros
질병재해_직업성암 has 7 (23.3%) zerosZeros
질병재해_직업병기타 has 16 (53.3%) zerosZeros
질병재해_뇌혈관질환 has 2 (6.7%) zerosZeros
질병재해_심장질환 has 4 (13.3%) zerosZeros
질병재해_비사고성요통 has 3 (10.0%) zerosZeros
질병재해_사고성요통 has 4 (13.3%) zerosZeros
질병재해_수근관증후근 has 12 (40.0%) zerosZeros
질병재해_정신질환 has 7 (23.3%) zerosZeros

Reproduction

Analysis started2023-12-12 08:10:25.018303
Analysis finished2023-12-12 08:10:25.333682
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대업종
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
제조업
11 
기타의사업
8 
운수·창고·통신업
3 
광 업
2 
금융및보험업
 
1
Other values (5)
5 

Length

Max length13
Median length9
Mean length4.7333333
Min length3

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row금융및보험업
2nd row광 업
3rd row광 업
4th row제조업
5th row제조업

Common Values

ValueCountFrequency (%)
제조업 11
36.7%
기타의사업 8
26.7%
운수·창고·통신업 3
 
10.0%
광 업 2
 
6.7%
금융및보험업 1
 
3.3%
전기·가스·증기·수도사업 1
 
3.3%
건설업 1
 
3.3%
임 업 1
 
3.3%
어 업 1
 
3.3%
농 업 1
 
3.3%

Length

2023-12-12T17:10:25.397005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:25.546881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 11
31.4%
기타의사업 8
22.9%
업 5
14.3%
운수·창고·통신업 3
 
8.6%
광 2
 
5.7%
금융및보험업 1
 
2.9%
전기·가스·증기·수도사업 1
 
2.9%
건설업 1
 
2.9%
임 1
 
2.9%
어 1
 
2.9%

중업종
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T17:10:25.780902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length9.3666667
Min length2

Characters and Unicode

Total characters281
Distinct characters101
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row금융및보험업
2nd row석탄광업및채석업
3rd row석회석·금속·비금속광업및기타광업
4th row식료품제조업
5th row섬유및섬유제품제조업
ValueCountFrequency (%)
금융및보험업 1
 
3.3%
석탄광업및채석업 1
 
3.3%
국가및지방자치단체의사업 1
 
3.3%
부동산업및임대업 1
 
3.3%
도소매·음식·숙박업 1
 
3.3%
전문·보건·교육·여가관련서비스업 1
 
3.3%
해외파견자 1
 
3.3%
기타의각종사업 1
 
3.3%
시설관리및사업지원서비스업 1
 
3.3%
농업 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T17:10:26.212168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 32
 
11.4%
· 22
 
7.8%
제 18
 
6.4%
및 12
 
4.3%
품 11
 
3.9%
기 11
 
3.9%
조 9
 
3.2%
금 6
 
2.1%
수 6
 
2.1%
비 5
 
1.8%
Other values (91) 149
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
92.2%
Other Punctuation 22
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
Other Punctuation
ValueCountFrequency (%)
· 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
92.2%
Common 22
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
Common
ValueCountFrequency (%)
· 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
92.2%
None 22
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
None
ValueCountFrequency (%)
· 22
100.0%

질병재해_진폐증
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.966667
Minimum0
Maximum921
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:26.361505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q314
95-th percentile265
Maximum921
Range921
Interquartile range (IQR)13

Descriptive statistics

Standard deviation176.57869
Coefficient of variation (CV)3.1550689
Kurtosis21.291764
Mean55.966667
Median Absolute Deviation (MAD)3
Skewness4.4483606
Sum1679
Variance31180.033
MonotonicityNot monotonic
2023-12-12T17:10:26.505851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
23.3%
1 4
13.3%
3 3
10.0%
2 3
10.0%
5 2
 
6.7%
15 2
 
6.7%
921 1
 
3.3%
79 1
 
3.3%
4 1
 
3.3%
11 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 7
23.3%
1 4
13.3%
2 3
10.0%
3 3
10.0%
4 1
 
3.3%
5 2
 
6.7%
7 1
 
3.3%
11 1
 
3.3%
15 2
 
6.7%
20 1
 
3.3%
ValueCountFrequency (%)
921 1
3.3%
301 1
3.3%
221 1
3.3%
79 1
3.3%
56 1
3.3%
20 1
3.3%
15 2
6.7%
11 1
3.3%
7 1
3.3%
5 2
6.7%

질병재해_소음성난청
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.2
Minimum0
Maximum2225
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:26.659316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q15.25
median19.5
Q356.25
95-th percentile933.55
Maximum2225
Range2225
Interquartile range (IQR)51

Descriptive statistics

Standard deviation458.92892
Coefficient of variation (CV)2.5609873
Kurtosis14.138927
Mean179.2
Median Absolute Deviation (MAD)17.5
Skewness3.5976402
Sum5376
Variance210615.75
MonotonicityNot monotonic
2023-12-12T17:10:26.812369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 3
 
10.0%
6 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
5 1
 
3.3%
18 1
 
3.3%
9 1
 
3.3%
51 1
 
3.3%
31 1
 
3.3%
0 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 1
 
3.3%
1 1
 
3.3%
2 3
10.0%
4 2
6.7%
5 1
 
3.3%
6 2
6.7%
8 1
 
3.3%
9 1
 
3.3%
12 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
2225 1
3.3%
1051 1
3.3%
790 1
3.3%
576 1
3.3%
189 1
3.3%
85 1
3.3%
59 1
3.3%
58 1
3.3%
51 1
3.3%
44 1
3.3%

질병재해_이상기압
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
9
 
1
5
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
9 1
 
3.3%
5 1
 
3.3%
1 1
 
3.3%

Length

2023-12-12T17:10:26.952724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:27.067271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
9 1
 
3.3%
5 1
 
3.3%
1 1
 
3.3%

질병재해_진동장해
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-12T17:10:27.200684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:27.325234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

질병재해_물리적인자기타
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0333333
Minimum0
Maximum23
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:27.420568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.75
95-th percentile6.65
Maximum23
Range23
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation4.4371732
Coefficient of variation (CV)2.1822163
Kurtosis17.997962
Mean2.0333333
Median Absolute Deviation (MAD)0.5
Skewness3.9600709
Sum61
Variance19.688506
MonotonicityNot monotonic
2023-12-12T17:10:27.526932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
5 2
 
6.7%
4 2
 
6.7%
23 1
 
3.3%
8 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
2 1
 
3.3%
3 1
 
3.3%
4 2
 
6.7%
5 2
 
6.7%
8 1
 
3.3%
23 1
 
3.3%
ValueCountFrequency (%)
23 1
 
3.3%
8 1
 
3.3%
5 2
 
6.7%
4 2
 
6.7%
3 1
 
3.3%
2 1
 
3.3%
1 7
23.3%
0 15
50.0%

질병재해_이황화탄소
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
8 1
 
3.3%

Length

2023-12-12T17:10:27.652471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:27.748138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
8 1
 
3.3%

질병재해_트리클로로에틸렌
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

Length

2023-12-12T17:10:27.863560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:27.971572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

질병재해_기타유기화합물
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
5 
24
 
1
17
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0666667
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
24 1
 
3.3%
17 1
 
3.3%
4 1
 
3.3%

Length

2023-12-12T17:10:28.092802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:28.210578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
24 1
 
3.3%
17 1
 
3.3%
4 1
 
3.3%

질병재해_벤젠
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
5 
3
 
1
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
3 1
 
3.3%
2 1
 
3.3%
5 1
 
3.3%

Length

2023-12-12T17:10:28.320943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:28.425680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
3 1
 
3.3%
2 1
 
3.3%
5 1
 
3.3%

질병재해_타르
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

Length

2023-12-12T17:10:28.546407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:28.663577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

질병재해_염화비닐
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-12T17:10:28.771302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:28.919739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

질병재해_디이소시아네이트
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

Length

2023-12-12T17:10:29.064370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:29.195349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

질병재해_석면
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7333333
Minimum0
Maximum26
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:29.299838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12.3
Maximum26
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.4388978
Coefficient of variation (CV)1.9898407
Kurtosis12.08027
Mean2.7333333
Median Absolute Deviation (MAD)1
Skewness3.3068997
Sum82
Variance29.581609
MonotonicityNot monotonic
2023-12-12T17:10:29.433433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
3 4
 
13.3%
4 2
 
6.7%
15 1
 
3.3%
9 1
 
3.3%
5 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
3 4
 
13.3%
4 2
 
6.7%
5 1
 
3.3%
9 1
 
3.3%
15 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
26 1
 
3.3%
15 1
 
3.3%
9 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 4
 
13.3%
1 7
23.3%
0 13
43.3%

질병재해_기타화학물질
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666667
Minimum0
Maximum5
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:29.561987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.55
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2685407
Coefficient of variation (CV)1.902811
Kurtosis5.0644315
Mean0.66666667
Median Absolute Deviation (MAD)0
Skewness2.3126365
Sum20
Variance1.6091954
MonotonicityNot monotonic
2023-12-12T17:10:29.678779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
5 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
1 6
 
20.0%
0 20
66.7%

질병재해_연
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-12T17:10:29.826663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:29.947330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

질병재해_수은
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
2 1
 
3.3%

Length

2023-12-12T17:10:30.069888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:30.173923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
2 1
 
3.3%

질병재해_크롬
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
3 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

Length

2023-12-12T17:10:30.620084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:30.757254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

질병재해_카드뮴
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
1
5 
13
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
13 1
 
3.3%
3 1
 
3.3%

Length

2023-12-12T17:10:30.900873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:31.028076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
13 1
 
3.3%
3 1
 
3.3%

질병재해_망간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-12T17:10:31.147723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:31.257480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

질병재해_감염성질환
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.633333
Minimum0
Maximum837
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:31.372465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile418.75
Maximum837
Range837
Interquartile range (IQR)20

Descriptive statistics

Standard deviation189.39877
Coefficient of variation (CV)3.0729925
Kurtosis12.673872
Mean61.633333
Median Absolute Deviation (MAD)2
Skewness3.646616
Sum1849
Variance35871.895
MonotonicityNot monotonic
2023-12-12T17:10:31.492280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9
30.0%
2 4
13.3%
1 3
 
10.0%
22 2
 
6.7%
40 1
 
3.3%
65 1
 
3.3%
655 1
 
3.3%
837 1
 
3.3%
3 1
 
3.3%
14 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 9
30.0%
1 3
 
10.0%
2 4
13.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
10 1
 
3.3%
14 1
 
3.3%
22 2
 
6.7%
ValueCountFrequency (%)
837 1
3.3%
655 1
3.3%
130 1
3.3%
65 1
3.3%
40 1
3.3%
23 1
3.3%
22 2
6.7%
14 1
3.3%
10 1
3.3%
8 1
3.3%

질병재해_직업성피부질환
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666667
Minimum0
Maximum5
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:31.608269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile3.55
Maximum5
Range5
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.3476246
Coefficient of variation (CV)2.0214368
Kurtosis3.6449974
Mean0.66666667
Median Absolute Deviation (MAD)0
Skewness2.1100687
Sum20
Variance1.816092
MonotonicityNot monotonic
2023-12-12T17:10:31.752738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 22
73.3%
1 3
 
10.0%
3 2
 
6.7%
2 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
1 3
 
10.0%
2 1
 
3.3%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 1
 
3.3%
3 2
 
6.7%
2 1
 
3.3%
1 3
 
10.0%
0 22
73.3%

질병재해_직업성암
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.966667
Minimum0
Maximum97
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:31.888112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q316.25
95-th percentile71.5
Maximum97
Range97
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation24.790826
Coefficient of variation (CV)1.5526613
Kurtosis3.9010027
Mean15.966667
Median Absolute Deviation (MAD)6
Skewness2.1098281
Sum479
Variance614.58506
MonotonicityNot monotonic
2023-12-12T17:10:32.044124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7
23.3%
10 3
10.0%
1 3
10.0%
3 2
 
6.7%
4 2
 
6.7%
17 2
 
6.7%
14 1
 
3.3%
44 1
 
3.3%
13 1
 
3.3%
22 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 7
23.3%
1 3
10.0%
2 1
 
3.3%
3 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
10 3
10.0%
11 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
97 1
3.3%
76 1
3.3%
66 1
3.3%
45 1
3.3%
44 1
3.3%
22 1
3.3%
17 2
6.7%
14 1
3.3%
13 1
3.3%
11 1
3.3%

질병재해_직업병기타
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum0
Maximum19
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:32.165182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9.2
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.0292037
Coefficient of variation (CV)1.8314562
Kurtosis10.598682
Mean2.2
Median Absolute Deviation (MAD)0
Skewness3.036048
Sum66
Variance16.234483
MonotonicityNot monotonic
2023-12-12T17:10:32.285443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
53.3%
3 4
 
13.3%
2 4
 
13.3%
4 2
 
6.7%
19 1
 
3.3%
7 1
 
3.3%
1 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 1
 
3.3%
2 4
 
13.3%
3 4
 
13.3%
4 2
 
6.7%
7 1
 
3.3%
11 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
11 1
 
3.3%
7 1
 
3.3%
4 2
 
6.7%
3 4
 
13.3%
2 4
 
13.3%
1 1
 
3.3%
0 16
53.3%

질병재해_뇌혈관질환
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.2
Minimum0
Maximum129
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:32.416389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12
median6.5
Q321.75
95-th percentile94.9
Maximum129
Range129
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation33.524464
Coefficient of variation (CV)1.510111
Kurtosis3.7531776
Mean22.2
Median Absolute Deviation (MAD)5.5
Skewness2.0681491
Sum666
Variance1123.8897
MonotonicityNot monotonic
2023-12-12T17:10:32.574849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 4
 
13.3%
1 3
 
10.0%
16 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
0 2
 
6.7%
11 1
 
3.3%
74 1
 
3.3%
9 1
 
3.3%
112 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 2
6.7%
1 3
10.0%
2 4
13.3%
3 2
6.7%
4 1
 
3.3%
5 2
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
129 1
3.3%
112 1
3.3%
74 1
3.3%
66 1
3.3%
62 1
3.3%
41 1
3.3%
28 1
3.3%
22 1
3.3%
21 1
3.3%
16 2
6.7%

질병재해_심장질환
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10
Minimum0
Maximum68
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:32.704787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39.25
95-th percentile39.55
Maximum68
Range68
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation15.902722
Coefficient of variation (CV)1.5902722
Kurtosis5.4997144
Mean10
Median Absolute Deviation (MAD)2.5
Skewness2.3198527
Sum300
Variance252.89655
MonotonicityNot monotonic
2023-12-12T17:10:32.832573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 6
20.0%
2 4
13.3%
0 4
13.3%
3 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
68 1
 
3.3%
25 1
 
3.3%
18 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 4
13.3%
1 6
20.0%
2 4
13.3%
3 2
 
6.7%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
7 2
 
6.7%
10 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
68 1
3.3%
40 1
3.3%
39 1
3.3%
34 1
3.3%
25 1
3.3%
18 1
3.3%
12 1
3.3%
10 1
3.3%
7 2
6.7%
6 1
3.3%

질병재해_신체부담작업
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.96667
Minimum1
Maximum1576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:32.991124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q111.5
median68.5
Q3219.25
95-th percentile1118.4
Maximum1576
Range1575
Interquartile range (IQR)207.75

Descriptive statistics

Standard deviation388.52901
Coefficient of variation (CV)1.758315
Kurtosis5.7153846
Mean220.96667
Median Absolute Deviation (MAD)59.5
Skewness2.4713288
Sum6629
Variance150954.79
MonotonicityNot monotonic
2023-12-12T17:10:33.141730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5 2
 
6.7%
142 1
 
3.3%
2 1
 
3.3%
346 1
 
3.3%
10 1
 
3.3%
637 1
 
3.3%
265 1
 
3.3%
94 1
 
3.3%
245 1
 
3.3%
20 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
5 2
6.7%
6 1
3.3%
8 1
3.3%
10 1
3.3%
11 1
3.3%
13 1
3.3%
20 1
3.3%
28 1
3.3%
ValueCountFrequency (%)
1576 1
3.3%
1257 1
3.3%
949 1
3.3%
637 1
3.3%
373 1
3.3%
346 1
3.3%
265 1
3.3%
245 1
3.3%
142 1
3.3%
113 1
3.3%

질병재해_비사고성요통
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.7
Minimum0
Maximum531
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:33.280348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q372.25
95-th percentile312.45
Maximum531
Range531
Interquartile range (IQR)68.25

Descriptive statistics

Standard deviation122.45707
Coefficient of variation (CV)1.8359381
Kurtosis7.9862424
Mean66.7
Median Absolute Deviation (MAD)13.5
Skewness2.791182
Sum2001
Variance14995.734
MonotonicityNot monotonic
2023-12-12T17:10:33.424889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3
 
10.0%
7 2
 
6.7%
4 2
 
6.7%
3 2
 
6.7%
1 2
 
6.7%
5 1
 
3.3%
49 1
 
3.3%
75 1
 
3.3%
203 1
 
3.3%
87 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
3 2
6.7%
4 2
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 2
6.7%
11 1
 
3.3%
12 1
 
3.3%
16 1
 
3.3%
ValueCountFrequency (%)
531 1
3.3%
402 1
3.3%
203 1
3.3%
200 1
3.3%
114 1
3.3%
87 1
3.3%
81 1
3.3%
75 1
3.3%
64 1
3.3%
49 1
3.3%

질병재해_사고성요통
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103
Minimum0
Maximum793
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:33.575647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.75
median18
Q3104.75
95-th percentile438.4
Maximum793
Range793
Interquartile range (IQR)100

Descriptive statistics

Standard deviation178.88872
Coefficient of variation (CV)1.7367836
Kurtosis7.3008951
Mean103
Median Absolute Deviation (MAD)18
Skewness2.5907849
Sum3090
Variance32001.172
MonotonicityNot monotonic
2023-12-12T17:10:33.728573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
13.3%
18 2
 
6.7%
7 1
 
3.3%
89 1
 
3.3%
147 1
 
3.3%
9 1
 
3.3%
793 1
 
3.3%
478 1
 
3.3%
42 1
 
3.3%
294 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 4
13.3%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
793 1
3.3%
478 1
3.3%
390 1
3.3%
294 1
3.3%
271 1
3.3%
147 1
3.3%
124 1
3.3%
110 1
3.3%
89 1
3.3%
86 1
3.3%

질병재해_수근관증후근
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum56
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:33.873880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile37.4
Maximum56
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.566566
Coefficient of variation (CV)1.8088755
Kurtosis5.7832739
Mean7.5
Median Absolute Deviation (MAD)1
Skewness2.4205837
Sum225
Variance184.05172
MonotonicityNot monotonic
2023-12-12T17:10:34.002541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 12
40.0%
1 5
16.7%
3 2
 
6.7%
11 2
 
6.7%
14 1
 
3.3%
41 1
 
3.3%
5 1
 
3.3%
16 1
 
3.3%
2 1
 
3.3%
7 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 12
40.0%
1 5
16.7%
2 1
 
3.3%
3 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
11 2
 
6.7%
14 1
 
3.3%
16 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
56 1
3.3%
41 1
3.3%
33 1
3.3%
18 1
3.3%
16 1
3.3%
14 1
3.3%
11 2
6.7%
7 1
3.3%
5 1
3.3%
3 2
6.7%

질병재해_간질환
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

Length

2023-12-12T17:10:34.147787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:34.251592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

질병재해_정신질환
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.766667
Minimum0
Maximum121
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T17:10:34.374108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3.5
Q319.5
95-th percentile52.3
Maximum121
Range121
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation25.034712
Coefficient of variation (CV)1.6953529
Kurtosis10.942179
Mean14.766667
Median Absolute Deviation (MAD)3.5
Skewness3.0030092
Sum443
Variance626.73678
MonotonicityNot monotonic
2023-12-12T17:10:34.537542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 7
23.3%
1 4
13.3%
3 2
 
6.7%
2 2
 
6.7%
15 2
 
6.7%
20 1
 
3.3%
55 1
 
3.3%
30 1
 
3.3%
6 1
 
3.3%
49 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 7
23.3%
1 4
13.3%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
15 2
 
6.7%
18 1
 
3.3%
ValueCountFrequency (%)
121 1
3.3%
55 1
3.3%
49 1
3.3%
36 1
3.3%
30 1
3.3%
25 1
3.3%
22 1
3.3%
20 1
3.3%
18 1
3.3%
15 2
6.7%

질병재해_작업관련성기타
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
2
3 
1
3 
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
2 3
 
10.0%
1 3
 
10.0%
5 1
 
3.3%
3 1
 
3.3%

Length

2023-12-12T17:10:34.689826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:34.826315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
2 3
 
10.0%
1 3
 
10.0%
5 1
 
3.3%
3 1
 
3.3%

Sample

대업종중업종질병재해_진폐증질병재해_소음성난청질병재해_이상기압질병재해_진동장해질병재해_물리적인자기타질병재해_이황화탄소질병재해_트리클로로에틸렌질병재해_기타유기화합물질병재해_벤젠질병재해_타르질병재해_염화비닐질병재해_디이소시아네이트질병재해_석면질병재해_기타화학물질질병재해_연질병재해_수은질병재해_크롬질병재해_카드뮴질병재해_망간질병재해_감염성질환질병재해_직업성피부질환질병재해_직업성암질병재해_직업병기타질병재해_뇌혈관질환질병재해_심장질환질병재해_신체부담작업질병재해_비사고성요통질병재해_사고성요통질병재해_수근관증후근질병재해_간질환질병재해_정신질환질병재해_작업관련성기타
0금융및보험업금융및보험업380000000000000000013003311655700200
1광 업석탄광업및채석업9212225010000000031001100097410142303000
2광 업석회석·금속·비금속광업및기타광업7918900000000000100000001002231700000
3제조업식료품제조업227001000000010000005000153113408614050
4제조업섬유및섬유제품제조업4850018000000300000000201676526183030
5제조업목재및종이제품제조업258000001000000000002042618916250010
6제조업출판·인쇄·제본업0400000000000000000000051304141010
7제조업화학및고무제품제조업344001011300110000008210228737311411011080
8제조업의약품·화장품·연탄·석유제품제조업11340000000100000000000303011440020
9제조업기계기구·금속·비금속광물제품제조업30110510250024100115500210104761966391257402271411362
대업종중업종질병재해_진폐증질병재해_소음성난청질병재해_이상기압질병재해_진동장해질병재해_물리적인자기타질병재해_이황화탄소질병재해_트리클로로에틸렌질병재해_기타유기화합물질병재해_벤젠질병재해_타르질병재해_염화비닐질병재해_디이소시아네이트질병재해_석면질병재해_기타화학물질질병재해_연질병재해_수은질병재해_크롬질병재해_카드뮴질병재해_망간질병재해_감염성질환질병재해_직업성피부질환질병재해_직업성암질병재해_직업병기타질병재해_뇌혈관질환질병재해_심장질환질병재해_신체부담작업질병재해_비사고성요통질병재해_사고성요통질병재해_수근관증후근질병재해_간질환질병재해_정신질환질병재해_작업관련성기타
20어 업어업00000000000000000000000001020000
21농 업농업140000000000000000020025120380010
22기타의사업시설관리및사업지원서비스업73110400100004100000400173129682456429470555
23기타의사업기타의각종사업205100300000003100030140102211294174210251
24기타의사업해외파견자02000000000000000003000115000020
25기타의사업전문·보건·교육·여가관련서비스업090020015001110010083712234118265874781801213
26기타의사업도소매·음식·숙박업51800500000001000000655313011225637203793560491
27기타의사업부동산업및임대업060000000000100000010103310190060
28기타의사업국가및지방자치단체의사업35001000000010000006514409534675147330302
29기타의사업주한미군02000000000000000001010002000000