Overview

Dataset statistics

Number of variables27
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.6 KiB
Average record size in memory230.1 B

Variable types

Text1
Numeric13
Categorical13

Dataset

Description부산광역시 연제구 소재 광제조업 사업장 정보(업종, 사업체수, 종사자수 등)를 다음과 같이 제공합니다.(2022. 12. 31. 기준 데이터)※ 전국 사업체조사 자료
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15025069/fileData.do

Alerts

거제1동 종사자수 is highly imbalanced (53.6%)Imbalance
거제2동 종사자수 is highly imbalanced (60.0%)Imbalance
거제3동 종사자수 is highly imbalanced (52.4%)Imbalance
거제4동 종사자수 is highly imbalanced (59.3%)Imbalance
연산1동 종사자수 is highly imbalanced (52.9%)Imbalance
연산2동 종사자수 is highly imbalanced (54.5%)Imbalance
연산3동 종사자수 is highly imbalanced (68.2%)Imbalance
연산4동 종사자수 is highly imbalanced (57.6%)Imbalance
연산5동 종사자수 is highly imbalanced (51.5%)Imbalance
연산6동 종사자수 is highly imbalanced (54.7%)Imbalance
연산8동 종사자수 is highly imbalanced (56.7%)Imbalance
산업분류 has unique valuesUnique
연제구 사업체수 has 40 (32.5%) zerosZeros
거제1동 사업체수 has 85 (69.1%) zerosZeros
거제2동 사업체수 has 84 (68.3%) zerosZeros
거제3동 사업체수 has 75 (61.0%) zerosZeros
거제4동 사업체수 has 87 (70.7%) zerosZeros
연산1동 사업체수 has 79 (64.2%) zerosZeros
연산2동 사업체수 has 79 (64.2%) zerosZeros
연산3동 사업체수 has 103 (83.7%) zerosZeros
연산4동 사업체수 has 85 (69.1%) zerosZeros
연산5동 사업체수 has 73 (59.3%) zerosZeros
연산6동 사업체수 has 88 (71.5%) zerosZeros
연산8동 사업체수 has 89 (72.4%) zerosZeros
연산9동 사업체수 has 72 (58.5%) zerosZeros

Reproduction

Analysis started2024-03-23 05:52:11.975726
Analysis finished2024-03-23 05:52:12.614223
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산업분류
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T14:52:12.956023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length18.105691
Min length9

Characters and Unicode

Total characters2227
Distinct characters195
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)100.0%

Sample

1st rowB.광업(05~08)
2nd row 05.석탄, 원유 및 천연가스 광업
3rd row 051.석탄 광업
4th row 052.원유 및 천연가스 채굴업
5th row 06.금속 광업
ValueCountFrequency (%)
제조업 98
 
20.4%
및 64
 
13.3%
광업 8
 
1.7%
기계 6
 
1.2%
제품 5
 
1.0%
제외 5
 
1.0%
종이 5
 
1.0%
기타 4
 
0.8%
장비 4
 
0.8%
가공 3
 
0.6%
Other values (249) 279
58.0%
2024-03-23T14:52:13.523374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
479
21.5%
제 148
 
6.6%
업 128
 
5.7%
. 123
 
5.5%
조 109
 
4.9%
1 83
 
3.7%
2 80
 
3.6%
및 64
 
2.9%
3 52
 
2.3%
기 51
 
2.3%
Other values (185) 910
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1237
55.5%
Space Separator 479
 
21.5%
Decimal Number 345
 
15.5%
Other Punctuation 158
 
7.1%
Open Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 148
 
12.0%
업 128
 
10.3%
조 109
 
8.8%
및 64
 
5.2%
기 51
 
4.1%
품 50
 
4.0%
비 22
 
1.8%
가 20
 
1.6%
장 19
 
1.5%
광 19
 
1.5%
Other values (166) 607
49.1%
Decimal Number
ValueCountFrequency (%)
1 83
24.1%
2 80
23.2%
3 52
15.1%
0 38
11.0%
4 21
 
6.1%
6 16
 
4.6%
5 15
 
4.3%
8 14
 
4.1%
9 13
 
3.8%
7 13
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 123
77.8%
, 29
 
18.4%
; 6
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1237
55.5%
Common 988
44.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 148
 
12.0%
업 128
 
10.3%
조 109
 
8.8%
및 64
 
5.2%
기 51
 
4.1%
품 50
 
4.0%
비 22
 
1.8%
가 20
 
1.6%
장 19
 
1.5%
광 19
 
1.5%
Other values (166) 607
49.1%
Common
ValueCountFrequency (%)
479
48.5%
. 123
 
12.4%
1 83
 
8.4%
2 80
 
8.1%
3 52
 
5.3%
0 38
 
3.8%
, 29
 
2.9%
4 21
 
2.1%
6 16
 
1.6%
5 15
 
1.5%
Other values (7) 52
 
5.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1235
55.5%
ASCII 990
44.5%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
479
48.4%
. 123
 
12.4%
1 83
 
8.4%
2 80
 
8.1%
3 52
 
5.3%
0 38
 
3.8%
, 29
 
2.9%
4 21
 
2.1%
6 16
 
1.6%
5 15
 
1.5%
Other values (9) 54
 
5.5%
Hangul
ValueCountFrequency (%)
제 148
 
12.0%
업 128
 
10.4%
조 109
 
8.8%
및 64
 
5.2%
기 51
 
4.1%
품 50
 
4.0%
비 22
 
1.8%
가 20
 
1.6%
장 19
 
1.5%
광 19
 
1.5%
Other values (165) 605
49.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

연제구 사업체수
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.97561
Minimum0
Maximum819
Zeros40
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:13.692845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile71.5
Maximum819
Range819
Interquartile range (IQR)11

Descriptive statistics

Standard deviation77.492513
Coefficient of variation (CV)3.8793566
Kurtosis94.429835
Mean19.97561
Median Absolute Deviation (MAD)2
Skewness9.2400703
Sum2457
Variance6005.0896
MonotonicityNot monotonic
2024-03-23T14:52:13.860643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 40
32.5%
1 13
 
10.6%
2 9
 
7.3%
5 8
 
6.5%
3 6
 
4.9%
4 5
 
4.1%
6 4
 
3.3%
7 2
 
1.6%
38 2
 
1.6%
37 2
 
1.6%
Other values (28) 32
26.0%
ValueCountFrequency (%)
0 40
32.5%
1 13
 
10.6%
2 9
 
7.3%
3 6
 
4.9%
4 5
 
4.1%
5 8
 
6.5%
6 4
 
3.3%
7 2
 
1.6%
8 1
 
0.8%
9 2
 
1.6%
ValueCountFrequency (%)
819 1
0.8%
167 1
0.8%
133 1
0.8%
111 1
0.8%
95 1
0.8%
84 1
0.8%
72 1
0.8%
67 1
0.8%
56 1
0.8%
54 1
0.8%

연제구 종사자수
Categorical

Distinct48
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
40 
x
22 
59
 
4
11
 
3
4
 
3
Other values (43)
51 

Length

Max length5
Median length4
Mean length2.3495935
Min length1

Unique

Unique35 ?
Unique (%)28.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 40
32.5%
x 22
17.9%
59 4
 
3.3%
11 3
 
2.4%
4 3
 
2.4%
52 2
 
1.6%
8 2
 
1.6%
87 2
 
1.6%
15 2
 
1.6%
9 2
 
1.6%
Other values (38) 41
33.3%

Length

2024-03-23T14:52:14.039165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 40
32.5%
x 22
17.9%
59 4
 
3.3%
11 3
 
2.4%
4 3
 
2.4%
9 2
 
1.6%
3 2
 
1.6%
25 2
 
1.6%
5 2
 
1.6%
15 2
 
1.6%
Other values (38) 41
33.3%

거제1동 사업체수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6585366
Minimum0
Maximum68
Zeros85
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:14.191426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.4399232
Coefficient of variation (CV)3.8828949
Kurtosis93.996229
Mean1.6585366
Median Absolute Deviation (MAD)0
Skewness9.1822554
Sum204
Variance41.472611
MonotonicityNot monotonic
2024-03-23T14:52:14.309511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 85
69.1%
1 11
 
8.9%
6 5
 
4.1%
3 5
 
4.1%
2 5
 
4.1%
5 4
 
3.3%
4 3
 
2.4%
10 2
 
1.6%
68 1
 
0.8%
7 1
 
0.8%
ValueCountFrequency (%)
0 85
69.1%
1 11
 
8.9%
2 5
 
4.1%
3 5
 
4.1%
4 3
 
2.4%
5 4
 
3.3%
6 5
 
4.1%
7 1
 
0.8%
10 2
 
1.6%
11 1
 
0.8%
ValueCountFrequency (%)
68 1
 
0.8%
11 1
 
0.8%
10 2
 
1.6%
7 1
 
0.8%
6 5
4.1%
5 4
 
3.3%
4 3
 
2.4%
3 5
4.1%
2 5
4.1%
1 11
8.9%

거제1동 종사자수
Categorical

IMBALANCE 

Distinct15
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
85 
x
16 
8
 
4
7
 
4
5
 
2
Other values (10)
12 

Length

Max length4
Median length2
Mean length1.9593496
Min length1

Unique

Unique8 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 85
69.1%
x 16
 
13.0%
8 4
 
3.3%
7 4
 
3.3%
5 2
 
1.6%
19 2
 
1.6%
10 2
 
1.6%
156 1
 
0.8%
9 1
 
0.8%
24 1
 
0.8%
Other values (5) 5
 
4.1%

Length

2024-03-23T14:52:14.448271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 85
69.1%
x 16
 
13.0%
8 4
 
3.3%
7 4
 
3.3%
5 2
 
1.6%
19 2
 
1.6%
10 2
 
1.6%
156 1
 
0.8%
9 1
 
0.8%
24 1
 
0.8%
Other values (5) 5
 
4.1%

거제2동 사업체수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82926829
Minimum0
Maximum34
Zeros84
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:14.569918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum34
Range34
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.2129536
Coefficient of variation (CV)3.874444
Kurtosis94.870026
Mean0.82926829
Median Absolute Deviation (MAD)0
Skewness9.2519374
Sum102
Variance10.323071
MonotonicityNot monotonic
2024-03-23T14:52:14.724987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 84
68.3%
1 24
 
19.5%
2 7
 
5.7%
4 2
 
1.6%
5 2
 
1.6%
3 2
 
1.6%
34 1
 
0.8%
6 1
 
0.8%
ValueCountFrequency (%)
0 84
68.3%
1 24
 
19.5%
2 7
 
5.7%
3 2
 
1.6%
4 2
 
1.6%
5 2
 
1.6%
6 1
 
0.8%
34 1
 
0.8%
ValueCountFrequency (%)
34 1
 
0.8%
6 1
 
0.8%
5 2
 
1.6%
4 2
 
1.6%
3 2
 
1.6%
2 7
 
5.7%
1 24
 
19.5%
0 84
68.3%

거제2동 종사자수
Categorical

IMBALANCE 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
84 
x
31 
181
 
1
5
 
1
73
 
1
Other values (5)
 
5

Length

Max length4
Median length2
Mean length1.804878
Min length1

Unique

Unique8 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 84
68.3%
x 31
 
25.2%
181 1
 
0.8%
5 1
 
0.8%
73 1
 
0.8%
66 1
 
0.8%
34 1
 
0.8%
46 1
 
0.8%
45 1
 
0.8%
7 1
 
0.8%

Length

2024-03-23T14:52:14.924549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:52:15.111010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 84
68.3%
x 31
 
25.2%
181 1
 
0.8%
5 1
 
0.8%
73 1
 
0.8%
66 1
 
0.8%
34 1
 
0.8%
46 1
 
0.8%
45 1
 
0.8%
7 1
 
0.8%

거제3동 사업체수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1463415
Minimum0
Maximum88
Zeros75
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:15.286328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8.9
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.5350607
Coefficient of variation (CV)3.9765624
Kurtosis85.602141
Mean2.1463415
Median Absolute Deviation (MAD)0
Skewness8.7108929
Sum264
Variance72.847261
MonotonicityNot monotonic
2024-03-23T14:52:15.431141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 75
61.0%
1 20
 
16.3%
2 10
 
8.1%
3 3
 
2.4%
5 3
 
2.4%
4 3
 
2.4%
13 2
 
1.6%
9 2
 
1.6%
88 1
 
0.8%
24 1
 
0.8%
Other values (3) 3
 
2.4%
ValueCountFrequency (%)
0 75
61.0%
1 20
 
16.3%
2 10
 
8.1%
3 3
 
2.4%
4 3
 
2.4%
5 3
 
2.4%
6 1
 
0.8%
8 1
 
0.8%
9 2
 
1.6%
13 2
 
1.6%
ValueCountFrequency (%)
88 1
 
0.8%
24 1
 
0.8%
18 1
 
0.8%
13 2
1.6%
9 2
1.6%
8 1
 
0.8%
6 1
 
0.8%
5 3
2.4%
4 3
2.4%
3 3
2.4%

거제3동 종사자수
Categorical

IMBALANCE 

Distinct15
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
75 
x
30 
81
 
3
10
 
2
32
 
2
Other values (10)
11 

Length

Max length4
Median length2
Mean length1.8617886
Min length1

Unique

Unique9 ?
Unique (%)7.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 75
61.0%
x 30
 
24.4%
81 3
 
2.4%
10 2
 
1.6%
32 2
 
1.6%
4 2
 
1.6%
324 1
 
0.8%
41 1
 
0.8%
6 1
 
0.8%
31 1
 
0.8%
Other values (5) 5
 
4.1%

Length

2024-03-23T14:52:15.614691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 75
61.0%
x 30
 
24.4%
81 3
 
2.4%
10 2
 
1.6%
32 2
 
1.6%
4 2
 
1.6%
324 1
 
0.8%
41 1
 
0.8%
6 1
 
0.8%
31 1
 
0.8%
Other values (5) 5
 
4.1%

거제4동 사업체수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.097561
Minimum0
Maximum45
Zeros87
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:15.785535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.5546133
Coefficient of variation (CV)4.1497588
Kurtosis73.023576
Mean1.097561
Median Absolute Deviation (MAD)0
Skewness8.0122586
Sum135
Variance20.744502
MonotonicityNot monotonic
2024-03-23T14:52:15.941417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 87
70.7%
1 22
 
17.9%
3 4
 
3.3%
2 4
 
3.3%
5 2
 
1.6%
45 1
 
0.8%
7 1
 
0.8%
16 1
 
0.8%
15 1
 
0.8%
ValueCountFrequency (%)
0 87
70.7%
1 22
 
17.9%
2 4
 
3.3%
3 4
 
3.3%
5 2
 
1.6%
7 1
 
0.8%
15 1
 
0.8%
16 1
 
0.8%
45 1
 
0.8%
ValueCountFrequency (%)
45 1
 
0.8%
16 1
 
0.8%
15 1
 
0.8%
7 1
 
0.8%
5 2
 
1.6%
3 4
 
3.3%
2 4
 
3.3%
1 22
 
17.9%
0 87
70.7%

거제4동 종사자수
Categorical

IMBALANCE 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
87 
x
26 
5
 
3
168
 
1
13
 
1
Other values (5)
 
5

Length

Max length4
Median length2
Mean length1.8455285
Min length1

Unique

Unique7 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 87
70.7%
x 26
 
21.1%
5 3
 
2.4%
168 1
 
0.8%
13 1
 
0.8%
10 1
 
0.8%
91 1
 
0.8%
86 1
 
0.8%
4 1
 
0.8%
22 1
 
0.8%

Length

2024-03-23T14:52:16.112365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:52:16.553893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
70.7%
x 26
 
21.1%
5 3
 
2.4%
168 1
 
0.8%
13 1
 
0.8%
10 1
 
0.8%
91 1
 
0.8%
86 1
 
0.8%
4 1
 
0.8%
22 1
 
0.8%

연산1동 사업체수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9512195
Minimum0
Maximum80
Zeros79
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:16.694731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.9
Maximum80
Range80
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.8655231
Coefficient of variation (CV)4.0310806
Kurtosis81.110829
Mean1.9512195
Median Absolute Deviation (MAD)0
Skewness8.4436836
Sum240
Variance61.866453
MonotonicityNot monotonic
2024-03-23T14:52:16.819233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 79
64.2%
1 18
 
14.6%
2 7
 
5.7%
3 6
 
4.9%
4 5
 
4.1%
80 1
 
0.8%
22 1
 
0.8%
19 1
 
0.8%
7 1
 
0.8%
5 1
 
0.8%
Other values (3) 3
 
2.4%
ValueCountFrequency (%)
0 79
64.2%
1 18
 
14.6%
2 7
 
5.7%
3 6
 
4.9%
4 5
 
4.1%
5 1
 
0.8%
6 1
 
0.8%
7 1
 
0.8%
15 1
 
0.8%
16 1
 
0.8%
ValueCountFrequency (%)
80 1
 
0.8%
22 1
 
0.8%
19 1
 
0.8%
16 1
 
0.8%
15 1
 
0.8%
7 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
4 5
4.1%
3 6
4.9%

연산1동 종사자수
Categorical

IMBALANCE 

Distinct15
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
79 
x
25 
4
 
3
6
 
3
14
 
2
Other values (10)
11 

Length

Max length4
Median length2
Mean length1.902439
Min length1

Unique

Unique9 ?
Unique (%)7.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 79
64.2%
x 25
 
20.3%
4 3
 
2.4%
6 3
 
2.4%
14 2
 
1.6%
38 2
 
1.6%
201 1
 
0.8%
46 1
 
0.8%
41 1
 
0.8%
12 1
 
0.8%
Other values (5) 5
 
4.1%

Length

2024-03-23T14:52:16.953814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 79
64.2%
x 25
 
20.3%
4 3
 
2.4%
6 3
 
2.4%
14 2
 
1.6%
38 2
 
1.6%
201 1
 
0.8%
46 1
 
0.8%
41 1
 
0.8%
12 1
 
0.8%
Other values (5) 5
 
4.1%

연산2동 사업체수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5853659
Minimum0
Maximum65
Zeros79
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:17.067418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.9
Maximum65
Range65
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.4285822
Coefficient of variation (CV)4.0549519
Kurtosis79.757172
Mean1.5853659
Median Absolute Deviation (MAD)0
Skewness8.4152984
Sum195
Variance41.326669
MonotonicityNot monotonic
2024-03-23T14:52:17.196060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 79
64.2%
1 21
 
17.1%
2 8
 
6.5%
3 5
 
4.1%
4 3
 
2.4%
5 2
 
1.6%
65 1
 
0.8%
23 1
 
0.8%
16 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
0 79
64.2%
1 21
 
17.1%
2 8
 
6.5%
3 5
 
4.1%
4 3
 
2.4%
5 2
 
1.6%
8 1
 
0.8%
9 1
 
0.8%
16 1
 
0.8%
23 1
 
0.8%
ValueCountFrequency (%)
65 1
 
0.8%
23 1
 
0.8%
16 1
 
0.8%
9 1
 
0.8%
8 1
 
0.8%
5 2
 
1.6%
4 3
 
2.4%
3 5
 
4.1%
2 8
 
6.5%
1 21
17.1%

연산2동 종사자수
Categorical

IMBALANCE 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
79 
x
29 
11
 
2
28
 
2
6
 
2
Other values (8)
9 

Length

Max length4
Median length2
Mean length1.8455285
Min length1

Unique

Unique7 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 79
64.2%
x 29
 
23.6%
11 2
 
1.6%
28 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
153 1
 
0.8%
32 1
 
0.8%
23 1
 
0.8%
4 1
 
0.8%
Other values (3) 3
 
2.4%

Length

2024-03-23T14:52:17.355920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 79
64.2%
x 29
 
23.6%
11 2
 
1.6%
28 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
153 1
 
0.8%
32 1
 
0.8%
23 1
 
0.8%
4 1
 
0.8%
Other values (3) 3
 
2.4%

연산3동 사업체수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41463415
Minimum0
Maximum17
Zeros103
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:17.485236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7174458
Coefficient of variation (CV)4.1420752
Kurtosis73.011635
Mean0.41463415
Median Absolute Deviation (MAD)0
Skewness7.9190268
Sum51
Variance2.9496202
MonotonicityNot monotonic
2024-03-23T14:52:17.586921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 103
83.7%
1 11
 
8.9%
2 5
 
4.1%
17 1
 
0.8%
6 1
 
0.8%
4 1
 
0.8%
3 1
 
0.8%
ValueCountFrequency (%)
0 103
83.7%
1 11
 
8.9%
2 5
 
4.1%
3 1
 
0.8%
4 1
 
0.8%
6 1
 
0.8%
17 1
 
0.8%
ValueCountFrequency (%)
17 1
 
0.8%
6 1
 
0.8%
4 1
 
0.8%
3 1
 
0.8%
2 5
 
4.1%
1 11
 
8.9%
0 103
83.7%

연산3동 종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
103 
x
16 
25
 
1
10
 
1
7
 
1

Length

Max length3
Median length2
Mean length1.8861789
Min length1

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 103
83.7%
x 16
 
13.0%
25 1
 
0.8%
10 1
 
0.8%
7 1
 
0.8%
3 1
 
0.8%

Length

2024-03-23T14:52:17.738014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:52:17.869928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
83.7%
x 16
 
13.0%
25 1
 
0.8%
10 1
 
0.8%
7 1
 
0.8%
3 1
 
0.8%

연산4동 사업체수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8292683
Minimum0
Maximum75
Zeros85
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:18.025440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8.9
Maximum75
Range75
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3459115
Coefficient of variation (CV)4.0157649
Kurtosis82.16466
Mean1.8292683
Median Absolute Deviation (MAD)0
Skewness8.4661929
Sum225
Variance53.962415
MonotonicityNot monotonic
2024-03-23T14:52:18.184103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 85
69.1%
1 15
 
12.2%
2 9
 
7.3%
10 2
 
1.6%
4 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
75 1
 
0.8%
19 1
 
0.8%
17 1
 
0.8%
Other values (3) 3
 
2.4%
ValueCountFrequency (%)
0 85
69.1%
1 15
 
12.2%
2 9
 
7.3%
3 1
 
0.8%
4 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
9 1
 
0.8%
10 2
 
1.6%
11 1
 
0.8%
ValueCountFrequency (%)
75 1
0.8%
19 1
0.8%
17 1
0.8%
11 1
0.8%
10 2
1.6%
9 1
0.8%
8 2
1.6%
7 2
1.6%
4 2
1.6%
3 1
0.8%

연산4동 종사자수
Categorical

IMBALANCE 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
85 
x
24 
25
 
2
7
 
2
12
 
2
Other values (8)
 
8

Length

Max length4
Median length2
Mean length1.902439
Min length1

Unique

Unique8 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 85
69.1%
x 24
 
19.5%
25 2
 
1.6%
7 2
 
1.6%
12 2
 
1.6%
126 1
 
0.8%
28 1
 
0.8%
24 1
 
0.8%
13 1
 
0.8%
10 1
 
0.8%
Other values (3) 3
 
2.4%

Length

2024-03-23T14:52:18.330006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 85
69.1%
x 24
 
19.5%
25 2
 
1.6%
7 2
 
1.6%
12 2
 
1.6%
126 1
 
0.8%
28 1
 
0.8%
24 1
 
0.8%
13 1
 
0.8%
10 1
 
0.8%
Other values (3) 3
 
2.4%

연산5동 사업체수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6341463
Minimum0
Maximum67
Zeros73
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:18.455092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum67
Range67
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.300232
Coefficient of variation (CV)3.8553658
Kurtosis96.819743
Mean1.6341463
Median Absolute Deviation (MAD)0
Skewness9.3831942
Sum201
Variance39.692923
MonotonicityNot monotonic
2024-03-23T14:52:18.580457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 73
59.3%
1 24
 
19.5%
2 7
 
5.7%
5 6
 
4.9%
3 6
 
4.9%
8 3
 
2.4%
67 1
 
0.8%
4 1
 
0.8%
13 1
 
0.8%
7 1
 
0.8%
ValueCountFrequency (%)
0 73
59.3%
1 24
 
19.5%
2 7
 
5.7%
3 6
 
4.9%
4 1
 
0.8%
5 6
 
4.9%
7 1
 
0.8%
8 3
 
2.4%
13 1
 
0.8%
67 1
 
0.8%
ValueCountFrequency (%)
67 1
 
0.8%
13 1
 
0.8%
8 3
 
2.4%
7 1
 
0.8%
5 6
 
4.9%
4 1
 
0.8%
3 6
 
4.9%
2 7
 
5.7%
1 24
 
19.5%
0 73
59.3%

연산5동 종사자수
Categorical

IMBALANCE 

Distinct16
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
73 
x
31 
7
 
2
4
 
2
29
 
2
Other values (11)
13 

Length

Max length4
Median length2
Mean length1.8699187
Min length1

Unique

Unique9 ?
Unique (%)7.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 73
59.3%
x 31
25.2%
7 2
 
1.6%
4 2
 
1.6%
29 2
 
1.6%
13 2
 
1.6%
17 2
 
1.6%
388 1
 
0.8%
112 1
 
0.8%
3 1
 
0.8%
Other values (6) 6
 
4.9%

Length

2024-03-23T14:52:18.724247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 73
59.3%
x 31
25.2%
7 2
 
1.6%
4 2
 
1.6%
29 2
 
1.6%
13 2
 
1.6%
17 2
 
1.6%
388 1
 
0.8%
112 1
 
0.8%
3 1
 
0.8%
Other values (6) 6
 
4.9%

연산6동 사업체수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.804878
Minimum0
Maximum74
Zeros88
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:18.856224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum74
Range74
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.1696749
Coefficient of variation (CV)3.9723874
Kurtosis85.79953
Mean1.804878
Median Absolute Deviation (MAD)0
Skewness8.6895967
Sum222
Variance51.404238
MonotonicityNot monotonic
2024-03-23T14:52:19.007123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 88
71.5%
1 10
 
8.1%
4 6
 
4.9%
5 4
 
3.3%
3 4
 
3.3%
2 3
 
2.4%
15 2
 
1.6%
6 2
 
1.6%
74 1
 
0.8%
16 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 88
71.5%
1 10
 
8.1%
2 3
 
2.4%
3 4
 
3.3%
4 6
 
4.9%
5 4
 
3.3%
6 2
 
1.6%
8 1
 
0.8%
10 1
 
0.8%
15 2
 
1.6%
ValueCountFrequency (%)
74 1
 
0.8%
16 1
 
0.8%
15 2
 
1.6%
10 1
 
0.8%
8 1
 
0.8%
6 2
 
1.6%
5 4
3.3%
4 6
4.9%
3 4
3.3%
2 3
2.4%

연산6동 종사자수
Categorical

IMBALANCE 

Distinct14
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
88 
x
13 
6
 
5
10
 
3
4
 
3
Other values (9)
11 

Length

Max length4
Median length2
Mean length1.9918699
Min length1

Unique

Unique7 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 88
71.5%
x 13
 
10.6%
6 5
 
4.1%
10 3
 
2.4%
4 3
 
2.4%
21 2
 
1.6%
5 2
 
1.6%
134 1
 
0.8%
20 1
 
0.8%
31 1
 
0.8%
Other values (4) 4
 
3.3%

Length

2024-03-23T14:52:19.202039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 88
71.5%
x 13
 
10.6%
6 5
 
4.1%
10 3
 
2.4%
4 3
 
2.4%
21 2
 
1.6%
5 2
 
1.6%
134 1
 
0.8%
20 1
 
0.8%
31 1
 
0.8%
Other values (4) 4
 
3.3%

연산8동 사업체수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0487805
Minimum0
Maximum84
Zeros89
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:19.363961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum84
Range84
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.1168249
Coefficient of variation (CV)3.9617836
Kurtosis86.625818
Mean2.0487805
Median Absolute Deviation (MAD)0
Skewness8.7177803
Sum252
Variance65.882847
MonotonicityNot monotonic
2024-03-23T14:52:19.551217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 89
72.4%
1 7
 
5.7%
2 7
 
5.7%
5 5
 
4.1%
3 4
 
3.3%
11 2
 
1.6%
10 2
 
1.6%
7 2
 
1.6%
16 2
 
1.6%
84 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 89
72.4%
1 7
 
5.7%
2 7
 
5.7%
3 4
 
3.3%
5 5
 
4.1%
7 2
 
1.6%
9 1
 
0.8%
10 2
 
1.6%
11 2
 
1.6%
13 1
 
0.8%
ValueCountFrequency (%)
84 1
 
0.8%
16 2
 
1.6%
13 1
 
0.8%
11 2
 
1.6%
10 2
 
1.6%
9 1
 
0.8%
7 2
 
1.6%
5 5
4.1%
3 4
3.3%
2 7
5.7%

연산8동 종사자수
Categorical

IMBALANCE 

Distinct15
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
89 
x
14 
9
 
4
20
 
2
74
 
2
Other values (10)
12 

Length

Max length4
Median length2
Mean length2.0081301
Min length1

Unique

Unique8 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
72.4%
x 14
 
11.4%
9 4
 
3.3%
20 2
 
1.6%
74 2
 
1.6%
14 2
 
1.6%
31 2
 
1.6%
234 1
 
0.8%
12 1
 
0.8%
19 1
 
0.8%
Other values (5) 5
 
4.1%

Length

2024-03-23T14:52:19.741200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 89
72.4%
x 14
 
11.4%
9 4
 
3.3%
20 2
 
1.6%
74 2
 
1.6%
14 2
 
1.6%
31 2
 
1.6%
234 1
 
0.8%
12 1
 
0.8%
19 1
 
0.8%
Other values (5) 5
 
4.1%

연산9동 사업체수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9756098
Minimum0
Maximum122
Zeros72
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-23T14:52:19.912558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11.9
Maximum122
Range122
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.538576
Coefficient of variation (CV)3.8777183
Kurtosis94.53709
Mean2.9756098
Median Absolute Deviation (MAD)0
Skewness9.228985
Sum366
Variance133.13874
MonotonicityNot monotonic
2024-03-23T14:52:20.051532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 72
58.5%
1 18
 
14.6%
2 6
 
4.9%
4 4
 
3.3%
3 4
 
3.3%
5 3
 
2.4%
8 3
 
2.4%
10 2
 
1.6%
13 2
 
1.6%
22 1
 
0.8%
Other values (8) 8
 
6.5%
ValueCountFrequency (%)
0 72
58.5%
1 18
 
14.6%
2 6
 
4.9%
3 4
 
3.3%
4 4
 
3.3%
5 3
 
2.4%
6 1
 
0.8%
7 1
 
0.8%
8 3
 
2.4%
9 1
 
0.8%
ValueCountFrequency (%)
122 1
 
0.8%
22 1
 
0.8%
19 1
 
0.8%
15 1
 
0.8%
13 2
1.6%
12 1
 
0.8%
11 1
 
0.8%
10 2
1.6%
9 1
 
0.8%
8 3
2.4%

연산9동 종사자수
Categorical

Distinct22
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
72 
x
24 
12
 
3
18
 
2
16
 
2
Other values (17)
20 

Length

Max length4
Median length2
Mean length1.9837398
Min length1

Unique

Unique14 ?
Unique (%)11.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 72
58.5%
x 24
 
19.5%
12 3
 
2.4%
18 2
 
1.6%
16 2
 
1.6%
89 2
 
1.6%
11 2
 
1.6%
7 2
 
1.6%
4 1
 
0.8%
31 1
 
0.8%
Other values (12) 12
 
9.8%

Length

2024-03-23T14:52:20.185386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 72
58.5%
x 24
 
19.5%
12 3
 
2.4%
18 2
 
1.6%
16 2
 
1.6%
89 2
 
1.6%
11 2
 
1.6%
7 2
 
1.6%
404 1
 
0.8%
42 1
 
0.8%
Other values (12) 12
 
9.8%

Sample

산업분류연제구 사업체수연제구 종사자수거제1동 사업체수거제1동 종사자수거제2동 사업체수거제2동 종사자수거제3동 사업체수거제3동 종사자수거제4동 사업체수거제4동 종사자수연산1동 사업체수연산1동 종사자수연산2동 사업체수연산2동 종사자수연산3동 사업체수연산3동 종사자수연산4동 사업체수연산4동 종사자수연산5동 사업체수연산5동 종사자수연산6동 사업체수연산6동 종사자수연산8동 사업체수연산8동 종사자수연산9동 사업체수연산9동 종사자수
0B.광업(05~08)00000000000000000000000000
105.석탄, 원유 및 천연가스 광업00000000000000000000000000
2051.석탄 광업00000000000000000000000000
3052.원유 및 천연가스 채굴업00000000000000000000000000
406.금속 광업00000000000000000000000000
5061.철 광업00000000000000000000000000
6062.비철금속 광업00000000000000000000000000
707.비금속광물 광업; 연료용 제외00000000000000000000000000
8071.토사석 광업00000000000000000000000000
9072.기타 비금속광물 광업00000000000000000000000000
산업분류연제구 사업체수연제구 종사자수거제1동 사업체수거제1동 종사자수거제2동 사업체수거제2동 종사자수거제3동 사업체수거제3동 종사자수거제4동 사업체수거제4동 종사자수연산1동 사업체수연산1동 종사자수연산2동 사업체수연산2동 종사자수연산3동 사업체수연산3동 종사자수연산4동 사업체수연산4동 종사자수연산5동 사업체수연산5동 종사자수연산6동 사업체수연산6동 종사자수연산8동 사업체수연산8동 종사자수연산9동 사업체수연산9동 종사자수
11332.가구 제조업375900005101x2x37002x2x2x791318
114320.가구 제조업375900005101x2x37002x2x2x791318
11533.기타 제품 제조업11124511153793235163991933101783381416311530
116331.귀금속 및 장신용품 제조업78001x00001x1x00002x1x001x
117332.악기 제조업00000000000000000000000000
118333.운동 및 경기용구 제조업4151x00000000001x1x0000001x
119334.인형, 장난감 및 오락용품 제조업513000000000000002x1x1x001x
120339.그 외 기타 제품 제조업9520910142x9323515388182x7145266716311216
12134.산업용 기계 및 장비 수리업38596102x441x1x2x0000817442x812
122340.산업용 기계 및 장비 수리업38596102x441x1x2x0000817442x812