Overview

Dataset statistics

Number of variables27
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.2 KiB
Average record size in memory243.1 B

Variable types

Text1
Numeric26

Dataset

Description부산광역시연제구광제조업현황_20200218
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025069

Alerts

산업분류 has unique valuesUnique
연제구 사업체수 has 47 (38.2%) zerosZeros
연제구 종사자수 has 47 (38.2%) zerosZeros
거제1동 사업체수 has 96 (78.0%) zerosZeros
거제1동 종사자수 has 96 (78.0%) zerosZeros
거제2동 사업체수 has 83 (67.5%) zerosZeros
거제2동 종사자수 has 83 (67.5%) zerosZeros
거제3동 사업체수 has 81 (65.9%) zerosZeros
거제3동 종사자수 has 81 (65.9%) zerosZeros
거제4동 사업체수 has 96 (78.0%) zerosZeros
거제4동 종사자수 has 96 (78.0%) zerosZeros
연산1동 사업체수 has 80 (65.0%) zerosZeros
연산1동 종사자수 has 80 (65.0%) zerosZeros
연산2동 사업체수 has 85 (69.1%) zerosZeros
연산2동 종사자수 has 85 (69.1%) zerosZeros
연산3동 사업체수 has 105 (85.4%) zerosZeros
연산3동 종사자수 has 105 (85.4%) zerosZeros
연산4동 사업체수 has 87 (70.7%) zerosZeros
연산4동 종사자수 has 87 (70.7%) zerosZeros
연산5동 사업체수 has 87 (70.7%) zerosZeros
연산5동 종사자수 has 87 (70.7%) zerosZeros
연산6동 사업체수 has 89 (72.4%) zerosZeros
연산6동 종사자수 has 89 (72.4%) zerosZeros
연산8동 사업체수 has 89 (72.4%) zerosZeros
연산8동 종사자수 has 89 (72.4%) zerosZeros
연산9동 사업체수 has 76 (61.8%) zerosZeros
연산9동 종사자수 has 76 (61.8%) zerosZeros

Reproduction

Analysis started2023-12-10 16:52:28.341436
Analysis finished2023-12-10 16:52:28.768518
Duration0.43 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
2023-12-11T01:52:29.045031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length17.178862
Min length8

Characters and Unicode

Total characters2113
Distinct characters192
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 rowA.광업 (05 ~ 08)
2nd row05.석탄, 원유 및 천연가스 광업
3rd row051.석탄 광업
4th row052.원유 및 천연가스 채굴업
5th row06.금속 광업
ValueCountFrequency (%)
제조업 94
 
19.6%
및 67
 
14.0%
광업 7
 
1.5%
기타 6
 
1.3%
기계 5
 
1.0%
제품 5
 
1.0%
종이 5
 
1.0%
제외 4
 
0.8%
장비 4
 
0.8%
처리업 3
 
0.6%
Other values (251) 279
58.2%
2023-12-11T01:52:29.659692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
 
16.8%
제 149
 
7.1%
업 128
 
6.1%
. 123
 
5.8%
조 110
 
5.2%
1 83
 
3.9%
2 80
 
3.8%
및 67
 
3.2%
기 54
 
2.6%
3 53
 
2.5%
Other values (182) 910
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1246
59.0%
Space Separator 356
 
16.8%
Decimal Number 345
 
16.3%
Other Punctuation 158
 
7.5%
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 149
 
12.0%
업 128
 
10.3%
조 110
 
8.8%
및 67
 
5.4%
기 54
 
4.3%
품 51
 
4.1%
가 21
 
1.7%
비 21
 
1.7%
장 19
 
1.5%
물 19
 
1.5%
Other values (162) 607
48.7%
Decimal Number
ValueCountFrequency (%)
1 83
24.1%
2 80
23.2%
3 53
15.4%
0 38
11.0%
4 20
 
5.8%
6 16
 
4.6%
5 15
 
4.3%
8 14
 
4.1%
7 13
 
3.8%
9 13
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 123
77.8%
, 27
 
17.1%
; 6
 
3.8%
· 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
356
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 1246
59.0%
Common 865
40.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 149
 
12.0%
업 128
 
10.3%
조 110
 
8.8%
및 67
 
5.4%
기 54
 
4.3%
품 51
 
4.1%
가 21
 
1.7%
비 21
 
1.7%
장 19
 
1.5%
물 19
 
1.5%
Other values (162) 607
48.7%
Common
ValueCountFrequency (%)
356
41.2%
. 123
 
14.2%
1 83
 
9.6%
2 80
 
9.2%
3 53
 
6.1%
0 38
 
4.4%
, 27
 
3.1%
4 20
 
2.3%
6 16
 
1.8%
5 15
 
1.7%
Other values (8) 54
 
6.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1246
59.0%
ASCII 865
40.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
41.2%
. 123
 
14.2%
1 83
 
9.6%
2 80
 
9.2%
3 53
 
6.1%
0 38
 
4.4%
, 27
 
3.1%
4 20
 
2.3%
6 16
 
1.8%
5 15
 
1.7%
Other values (9) 54
 
6.2%
Hangul
ValueCountFrequency (%)
제 149
 
12.0%
업 128
 
10.3%
조 110
 
8.8%
및 67
 
5.4%
기 54
 
4.3%
품 51
 
4.1%
가 21
 
1.7%
비 21
 
1.7%
장 19
 
1.5%
물 19
 
1.5%
Other values (162) 607
48.7%
None
ValueCountFrequency (%)
· 2
100.0%

연제구 사업체수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.95122
Minimum0
Maximum695
Zeros47
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:29.869901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile67.7
Maximum695
Range695
Interquartile range (IQR)9

Descriptive statistics

Standard deviation66.644869
Coefficient of variation (CV)3.9315678
Kurtosis89.547941
Mean16.95122
Median Absolute Deviation (MAD)2
Skewness8.9472577
Sum2085
Variance4441.5386
MonotonicityNot monotonic
2023-12-11T01:52:30.099443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 47
38.2%
1 14
 
11.4%
2 9
 
7.3%
4 8
 
6.5%
3 7
 
5.7%
11 3
 
2.4%
6 3
 
2.4%
9 3
 
2.4%
25 2
 
1.6%
78 2
 
1.6%
Other values (22) 25
20.3%
ValueCountFrequency (%)
0 47
38.2%
1 14
 
11.4%
2 9
 
7.3%
3 7
 
5.7%
4 8
 
6.5%
5 1
 
0.8%
6 3
 
2.4%
7 2
 
1.6%
9 3
 
2.4%
11 3
 
2.4%
ValueCountFrequency (%)
695 1
0.8%
172 1
0.8%
138 1
0.8%
78 2
1.6%
69 1
0.8%
68 1
0.8%
65 1
0.8%
50 1
0.8%
47 1
0.8%
46 1
0.8%

연제구 종사자수
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.560976
Minimum0
Maximum2770
Zeros47
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:30.349028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q347.5
95-th percentile261.2
Maximum2770
Range2770
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation262.32473
Coefficient of variation (CV)3.8827848
Kurtosis94.087871
Mean67.560976
Median Absolute Deviation (MAD)5
Skewness9.2180313
Sum8310
Variance68814.265
MonotonicityNot monotonic
2023-12-11T01:52:30.621768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 47
38.2%
1 4
 
3.3%
5 4
 
3.3%
4 4
 
3.3%
3 4
 
3.3%
8 3
 
2.4%
85 3
 
2.4%
22 3
 
2.4%
93 3
 
2.4%
14 3
 
2.4%
Other values (38) 45
36.6%
ValueCountFrequency (%)
0 47
38.2%
1 4
 
3.3%
2 2
 
1.6%
3 4
 
3.3%
4 4
 
3.3%
5 4
 
3.3%
6 2
 
1.6%
8 3
 
2.4%
9 1
 
0.8%
14 3
 
2.4%
ValueCountFrequency (%)
2770 1
0.8%
537 1
0.8%
506 1
0.8%
363 1
0.8%
284 1
0.8%
267 1
0.8%
262 1
0.8%
254 1
0.8%
228 1
0.8%
213 1
0.8%

거제1동 사업체수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2195122
Minimum0
Maximum50
Zeros96
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:30.866729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.9
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8545003
Coefficient of variation (CV)3.9806903
Kurtosis84.940893
Mean1.2195122
Median Absolute Deviation (MAD)0
Skewness8.5986525
Sum150
Variance23.566174
MonotonicityNot monotonic
2023-12-11T01:52:31.150536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 96
78.0%
1 7
 
5.7%
3 5
 
4.1%
5 4
 
3.3%
4 2
 
1.6%
6 2
 
1.6%
2 2
 
1.6%
50 1
 
0.8%
7 1
 
0.8%
8 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 96
78.0%
1 7
 
5.7%
2 2
 
1.6%
3 5
 
4.1%
4 2
 
1.6%
5 4
 
3.3%
6 2
 
1.6%
7 1
 
0.8%
8 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
50 1
 
0.8%
10 1
 
0.8%
9 1
 
0.8%
8 1
 
0.8%
7 1
 
0.8%
6 2
 
1.6%
5 4
3.3%
4 2
 
1.6%
3 5
4.1%
2 2
 
1.6%

거제1동 종사자수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4878049
Minimum0
Maximum143
Zeros96
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:31.431259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.9
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.053391
Coefficient of variation (CV)4.0292939
Kurtosis81.032627
Mean3.4878049
Median Absolute Deviation (MAD)0
Skewness8.3776351
Sum429
Variance197.4978
MonotonicityNot monotonic
2023-12-11T01:52:31.687666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 96
78.0%
1 4
 
3.3%
6 4
 
3.3%
12 3
 
2.4%
10 2
 
1.6%
13 2
 
1.6%
16 2
 
1.6%
35 2
 
1.6%
8 2
 
1.6%
143 1
 
0.8%
Other values (5) 5
 
4.1%
ValueCountFrequency (%)
0 96
78.0%
1 4
 
3.3%
2 1
 
0.8%
4 1
 
0.8%
6 4
 
3.3%
8 2
 
1.6%
10 2
 
1.6%
12 3
 
2.4%
13 2
 
1.6%
15 1
 
0.8%
ValueCountFrequency (%)
143 1
 
0.8%
35 2
1.6%
20 1
 
0.8%
17 1
 
0.8%
16 2
1.6%
15 1
 
0.8%
13 2
1.6%
12 3
2.4%
10 2
1.6%
8 2
1.6%

거제2동 사업체수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0731707
Minimum0
Maximum44
Zeros83
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:31.897934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.2080538
Coefficient of variation (CV)3.9211411
Kurtosis90.534364
Mean1.0731707
Median Absolute Deviation (MAD)0
Skewness9.0140443
Sum132
Variance17.707717
MonotonicityNot monotonic
2023-12-11T01:52:32.073301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 83
67.5%
1 17
 
13.8%
2 13
 
10.6%
3 5
 
4.1%
10 2
 
1.6%
44 1
 
0.8%
6 1
 
0.8%
4 1
 
0.8%
ValueCountFrequency (%)
0 83
67.5%
1 17
 
13.8%
2 13
 
10.6%
3 5
 
4.1%
4 1
 
0.8%
6 1
 
0.8%
10 2
 
1.6%
44 1
 
0.8%
ValueCountFrequency (%)
44 1
 
0.8%
10 2
 
1.6%
6 1
 
0.8%
4 1
 
0.8%
3 5
 
4.1%
2 13
 
10.6%
1 17
 
13.8%
0 83
67.5%

거제2동 종사자수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4634146
Minimum0
Maximum347
Zeros83
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:32.269294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile49.8
Maximum347
Range347
Interquartile range (IQR)2

Descriptive statistics

Standard deviation35.955412
Coefficient of variation (CV)4.248334
Kurtosis66.582018
Mean8.4634146
Median Absolute Deviation (MAD)0
Skewness7.5827009
Sum1041
Variance1292.7917
MonotonicityNot monotonic
2023-12-11T01:52:32.551044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 83
67.5%
2 6
 
4.9%
1 6
 
4.9%
8 4
 
3.3%
5 3
 
2.4%
3 3
 
2.4%
6 2
 
1.6%
13 2
 
1.6%
125 2
 
1.6%
7 2
 
1.6%
Other values (10) 10
 
8.1%
ValueCountFrequency (%)
0 83
67.5%
1 6
 
4.9%
2 6
 
4.9%
3 3
 
2.4%
5 3
 
2.4%
6 2
 
1.6%
7 2
 
1.6%
8 4
 
3.3%
11 1
 
0.8%
13 2
 
1.6%
ValueCountFrequency (%)
347 1
0.8%
125 2
1.6%
56 1
0.8%
54 1
0.8%
53 1
0.8%
52 1
0.8%
30 1
0.8%
29 1
0.8%
18 1
0.8%
15 1
0.8%

거제3동 사업체수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.902439
Minimum0
Maximum78
Zeros81
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:32.851483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.9
Maximum78
Range78
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.683722
Coefficient of variation (CV)4.0388795
Kurtosis80.785435
Mean1.902439
Median Absolute Deviation (MAD)0
Skewness8.4469357
Sum234
Variance59.039584
MonotonicityNot monotonic
2023-12-11T01:52:33.059941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 81
65.9%
1 17
 
13.8%
2 7
 
5.7%
3 5
 
4.1%
6 4
 
3.3%
4 2
 
1.6%
7 2
 
1.6%
10 2
 
1.6%
78 1
 
0.8%
26 1
 
0.8%
ValueCountFrequency (%)
0 81
65.9%
1 17
 
13.8%
2 7
 
5.7%
3 5
 
4.1%
4 2
 
1.6%
6 4
 
3.3%
7 2
 
1.6%
10 2
 
1.6%
18 1
 
0.8%
26 1
 
0.8%
ValueCountFrequency (%)
78 1
 
0.8%
26 1
 
0.8%
18 1
 
0.8%
10 2
 
1.6%
7 2
 
1.6%
6 4
 
3.3%
4 2
 
1.6%
3 5
 
4.1%
2 7
5.7%
1 17
13.8%

거제3동 종사자수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3170732
Minimum0
Maximum382
Zeros81
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:33.245948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile43.7
Maximum382
Range382
Interquartile range (IQR)3

Descriptive statistics

Standard deviation37.90677
Coefficient of variation (CV)4.0685277
Kurtosis77.908574
Mean9.3170732
Median Absolute Deviation (MAD)0
Skewness8.1894879
Sum1146
Variance1436.9232
MonotonicityNot monotonic
2023-12-11T01:52:33.403758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 81
65.9%
2 6
 
4.9%
1 4
 
3.3%
3 3
 
2.4%
10 3
 
2.4%
7 3
 
2.4%
4 3
 
2.4%
12 2
 
1.6%
40 2
 
1.6%
90 2
 
1.6%
Other values (13) 14
 
11.4%
ValueCountFrequency (%)
0 81
65.9%
1 4
 
3.3%
2 6
 
4.9%
3 3
 
2.4%
4 3
 
2.4%
5 2
 
1.6%
6 1
 
0.8%
7 3
 
2.4%
8 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
382 1
0.8%
90 2
1.6%
74 1
0.8%
71 1
0.8%
62 1
0.8%
44 1
0.8%
41 1
0.8%
40 2
1.6%
31 1
0.8%
19 1
0.8%

거제4동 사업체수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70731707
Minimum0
Maximum29
Zeros96
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:33.599295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8736557
Coefficient of variation (CV)4.0627546
Kurtosis78.532946
Mean0.70731707
Median Absolute Deviation (MAD)0
Skewness8.2540218
Sum87
Variance8.2578968
MonotonicityNot monotonic
2023-12-11T01:52:33.755319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 96
78.0%
1 13
 
10.6%
2 8
 
6.5%
29 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
8 1
 
0.8%
7 1
 
0.8%
3 1
 
0.8%
ValueCountFrequency (%)
0 96
78.0%
1 13
 
10.6%
2 8
 
6.5%
3 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%
7 1
 
0.8%
8 1
 
0.8%
29 1
 
0.8%
ValueCountFrequency (%)
29 1
 
0.8%
8 1
 
0.8%
7 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
3 1
 
0.8%
2 8
 
6.5%
1 13
 
10.6%
0 96
78.0%

거제4동 종사자수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0243902
Minimum0
Maximum165
Zeros96
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:33.892611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.7
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.136608
Coefficient of variation (CV)4.2581874
Kurtosis65.829975
Mean4.0243902
Median Absolute Deviation (MAD)0
Skewness7.5197025
Sum495
Variance293.66333
MonotonicityNot monotonic
2023-12-11T01:52:34.037393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 96
78.0%
3 5
 
4.1%
9 4
 
3.3%
4 4
 
3.3%
1 2
 
1.6%
7 2
 
1.6%
6 2
 
1.6%
22 2
 
1.6%
165 1
 
0.8%
8 1
 
0.8%
Other values (4) 4
 
3.3%
ValueCountFrequency (%)
0 96
78.0%
1 2
 
1.6%
3 5
 
4.1%
4 4
 
3.3%
6 2
 
1.6%
7 2
 
1.6%
8 1
 
0.8%
9 4
 
3.3%
22 2
 
1.6%
32 1
 
0.8%
ValueCountFrequency (%)
165 1
 
0.8%
61 1
 
0.8%
54 1
 
0.8%
36 1
 
0.8%
32 1
 
0.8%
22 2
1.6%
9 4
3.3%
8 1
 
0.8%
7 2
1.6%
6 2
1.6%

연산1동 사업체수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6097561
Minimum0
Maximum66
Zeros80
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:34.177436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum66
Range66
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.5394567
Coefficient of variation (CV)4.0623898
Kurtosis78.714575
Mean1.6097561
Median Absolute Deviation (MAD)0
Skewness8.3030288
Sum198
Variance42.764494
MonotonicityNot monotonic
2023-12-11T01:52:34.290541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 80
65.0%
1 22
 
17.9%
2 8
 
6.5%
3 4
 
3.3%
5 2
 
1.6%
13 2
 
1.6%
66 1
 
0.8%
19 1
 
0.8%
17 1
 
0.8%
6 1
 
0.8%
ValueCountFrequency (%)
0 80
65.0%
1 22
 
17.9%
2 8
 
6.5%
3 4
 
3.3%
4 1
 
0.8%
5 2
 
1.6%
6 1
 
0.8%
13 2
 
1.6%
17 1
 
0.8%
19 1
 
0.8%
ValueCountFrequency (%)
66 1
 
0.8%
19 1
 
0.8%
17 1
 
0.8%
13 2
 
1.6%
6 1
 
0.8%
5 2
 
1.6%
4 1
 
0.8%
3 4
 
3.3%
2 8
 
6.5%
1 22
17.9%

연산1동 종사자수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum164
Zeros80
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:34.397392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16.6
Maximum164
Range164
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.539074
Coefficient of variation (CV)4.1347686
Kurtosis73.46916
Mean4
Median Absolute Deviation (MAD)0
Skewness7.9768999
Sum492
Variance273.54098
MonotonicityNot monotonic
2023-12-11T01:52:34.508393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 80
65.0%
1 11
 
8.9%
2 7
 
5.7%
3 4
 
3.3%
4 4
 
3.3%
5 3
 
2.4%
7 2
 
1.6%
49 2
 
1.6%
9 2
 
1.6%
6 1
 
0.8%
Other values (7) 7
 
5.7%
ValueCountFrequency (%)
0 80
65.0%
1 11
 
8.9%
2 7
 
5.7%
3 4
 
3.3%
4 4
 
3.3%
5 3
 
2.4%
6 1
 
0.8%
7 2
 
1.6%
8 1
 
0.8%
9 2
 
1.6%
ValueCountFrequency (%)
164 1
0.8%
49 2
1.6%
35 1
0.8%
32 1
0.8%
19 1
0.8%
17 1
0.8%
13 1
0.8%
9 2
1.6%
8 1
0.8%
7 2
1.6%

연산2동 사업체수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6341463
Minimum0
Maximum67
Zeros85
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:34.646300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum67
Range67
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.6828239
Coefficient of variation (CV)4.0894893
Kurtosis77.140911
Mean1.6341463
Median Absolute Deviation (MAD)0
Skewness8.243183
Sum201
Variance44.660136
MonotonicityNot monotonic
2023-12-11T01:52:34.745818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 85
69.1%
1 17
 
13.8%
4 6
 
4.9%
2 5
 
4.1%
6 3
 
2.4%
67 1
 
0.8%
24 1
 
0.8%
18 1
 
0.8%
5 1
 
0.8%
3 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 85
69.1%
1 17
 
13.8%
2 5
 
4.1%
3 1
 
0.8%
4 6
 
4.9%
5 1
 
0.8%
6 3
 
2.4%
7 1
 
0.8%
8 1
 
0.8%
18 1
 
0.8%
ValueCountFrequency (%)
67 1
 
0.8%
24 1
 
0.8%
18 1
 
0.8%
8 1
 
0.8%
7 1
 
0.8%
6 3
2.4%
5 1
 
0.8%
4 6
4.9%
3 1
 
0.8%
2 5
4.1%

연산2동 종사자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3170732
Minimum0
Maximum218
Zeros85
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:34.863091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile29.5
Maximum218
Range218
Interquartile range (IQR)2

Descriptive statistics

Standard deviation21.175425
Coefficient of variation (CV)3.9825341
Kurtosis84.802702
Mean5.3170732
Median Absolute Deviation (MAD)0
Skewness8.5996597
Sum654
Variance448.39864
MonotonicityNot monotonic
2023-12-11T01:52:34.972575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 85
69.1%
3 6
 
4.9%
2 6
 
4.9%
1 3
 
2.4%
6 2
 
1.6%
32 2
 
1.6%
25 2
 
1.6%
30 2
 
1.6%
4 2
 
1.6%
16 2
 
1.6%
Other values (9) 11
 
8.9%
ValueCountFrequency (%)
0 85
69.1%
1 3
 
2.4%
2 6
 
4.9%
3 6
 
4.9%
4 2
 
1.6%
5 2
 
1.6%
6 2
 
1.6%
7 1
 
0.8%
11 2
 
1.6%
12 1
 
0.8%
ValueCountFrequency (%)
218 1
0.8%
47 1
0.8%
34 1
0.8%
32 2
1.6%
30 2
1.6%
25 2
1.6%
23 1
0.8%
22 1
0.8%
16 2
1.6%
12 1
0.8%

연산3동 사업체수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41463415
Minimum0
Maximum17
Zeros105
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:35.093696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.9
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8058504
Coefficient of variation (CV)4.3552862
Kurtosis61.284626
Mean0.41463415
Median Absolute Deviation (MAD)0
Skewness7.2969347
Sum51
Variance3.2610956
MonotonicityNot monotonic
2023-12-11T01:52:35.234259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 105
85.4%
1 11
 
8.9%
2 3
 
2.4%
7 2
 
1.6%
17 1
 
0.8%
3 1
 
0.8%
ValueCountFrequency (%)
0 105
85.4%
1 11
 
8.9%
2 3
 
2.4%
3 1
 
0.8%
7 2
 
1.6%
17 1
 
0.8%
ValueCountFrequency (%)
17 1
 
0.8%
7 2
 
1.6%
3 1
 
0.8%
2 3
 
2.4%
1 11
 
8.9%
0 105
85.4%

연산3동 종사자수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum0
Maximum41
Zeros105
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:35.390114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.9
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3097297
Coefficient of variation (CV)4.3097297
Kurtosis62.246675
Mean1
Median Absolute Deviation (MAD)0
Skewness7.22719
Sum123
Variance18.57377
MonotonicityNot monotonic
2023-12-11T01:52:35.531007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 105
85.4%
1 5
 
4.1%
2 4
 
3.3%
12 3
 
2.4%
41 1
 
0.8%
8 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
3 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
0 105
85.4%
1 5
 
4.1%
2 4
 
3.3%
3 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%
8 1
 
0.8%
11 1
 
0.8%
12 3
 
2.4%
41 1
 
0.8%
ValueCountFrequency (%)
41 1
 
0.8%
12 3
 
2.4%
11 1
 
0.8%
8 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
3 1
 
0.8%
2 4
 
3.3%
1 5
 
4.1%
0 105
85.4%

연산4동 사업체수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6829268
Minimum0
Maximum69
Zeros87
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:35.659926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum69
Range69
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.8212747
Coefficient of variation (CV)4.0532212
Kurtosis79.366534
Mean1.6829268
Median Absolute Deviation (MAD)0
Skewness8.3146202
Sum207
Variance46.529788
MonotonicityNot monotonic
2023-12-11T01:52:36.090091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 87
70.7%
1 18
 
14.6%
5 3
 
2.4%
9 2
 
1.6%
2 2
 
1.6%
6 2
 
1.6%
3 2
 
1.6%
7 2
 
1.6%
69 1
 
0.8%
21 1
 
0.8%
Other values (3) 3
 
2.4%
ValueCountFrequency (%)
0 87
70.7%
1 18
 
14.6%
2 2
 
1.6%
3 2
 
1.6%
4 1
 
0.8%
5 3
 
2.4%
6 2
 
1.6%
7 2
 
1.6%
9 2
 
1.6%
10 1
 
0.8%
ValueCountFrequency (%)
69 1
 
0.8%
21 1
 
0.8%
16 1
 
0.8%
10 1
 
0.8%
9 2
1.6%
7 2
1.6%
6 2
1.6%
5 3
2.4%
4 1
 
0.8%
3 2
1.6%

연산4동 종사자수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5365854
Minimum0
Maximum145
Zeros87
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:36.220725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum145
Range145
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.17646
Coefficient of variation (CV)4.0085162
Kurtosis82.656559
Mean3.5365854
Median Absolute Deviation (MAD)0
Skewness8.4737997
Sum435
Variance200.97201
MonotonicityNot monotonic
2023-12-11T01:52:36.351691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 87
70.7%
1 8
 
6.5%
2 5
 
4.1%
3 4
 
3.3%
4 2
 
1.6%
23 2
 
1.6%
7 2
 
1.6%
9 2
 
1.6%
18 2
 
1.6%
24 1
 
0.8%
Other values (8) 8
 
6.5%
ValueCountFrequency (%)
0 87
70.7%
1 8
 
6.5%
2 5
 
4.1%
3 4
 
3.3%
4 2
 
1.6%
7 2
 
1.6%
8 1
 
0.8%
9 2
 
1.6%
10 1
 
0.8%
11 1
 
0.8%
ValueCountFrequency (%)
145 1
0.8%
35 1
0.8%
24 1
0.8%
23 2
1.6%
22 1
0.8%
18 2
1.6%
16 1
0.8%
12 1
0.8%
11 1
0.8%
10 1
0.8%

연산5동 사업체수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2682927
Minimum0
Maximum52
Zeros87
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:36.466679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum52
Range52
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.9158045
Coefficient of variation (CV)3.8759228
Kurtosis94.664796
Mean1.2682927
Median Absolute Deviation (MAD)0
Skewness9.2168768
Sum156
Variance24.165134
MonotonicityNot monotonic
2023-12-11T01:52:36.620605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 87
70.7%
1 13
 
10.6%
3 6
 
4.9%
4 5
 
4.1%
5 4
 
3.3%
2 3
 
2.4%
7 3
 
2.4%
52 1
 
0.8%
6 1
 
0.8%
ValueCountFrequency (%)
0 87
70.7%
1 13
 
10.6%
2 3
 
2.4%
3 6
 
4.9%
4 5
 
4.1%
5 4
 
3.3%
6 1
 
0.8%
7 3
 
2.4%
52 1
 
0.8%
ValueCountFrequency (%)
52 1
 
0.8%
7 3
 
2.4%
6 1
 
0.8%
5 4
 
3.3%
4 5
 
4.1%
3 6
 
4.9%
2 3
 
2.4%
1 13
 
10.6%
0 87
70.7%

연산5동 종사자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3414634
Minimum0
Maximum383
Zeros87
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:36.753622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile47
Maximum383
Range383
Interquartile range (IQR)3

Descriptive statistics

Standard deviation37.681328
Coefficient of variation (CV)4.0337714
Kurtosis80.687996
Mean9.3414634
Median Absolute Deviation (MAD)0
Skewness8.3657531
Sum1149
Variance1419.8824
MonotonicityNot monotonic
2023-12-11T01:52:36.929284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 87
70.7%
7 4
 
3.3%
9 4
 
3.3%
3 3
 
2.4%
53 2
 
1.6%
32 2
 
1.6%
1 2
 
1.6%
2 2
 
1.6%
5 2
 
1.6%
28 2
 
1.6%
Other values (11) 13
 
10.6%
ValueCountFrequency (%)
0 87
70.7%
1 2
 
1.6%
2 2
 
1.6%
3 3
 
2.4%
5 2
 
1.6%
6 2
 
1.6%
7 4
 
3.3%
9 4
 
3.3%
11 1
 
0.8%
14 1
 
0.8%
ValueCountFrequency (%)
383 1
0.8%
99 1
0.8%
88 1
0.8%
53 2
1.6%
52 1
0.8%
47 2
1.6%
38 1
0.8%
32 2
1.6%
28 2
1.6%
23 1
0.8%

연산6동 사업체수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4878049
Minimum0
Maximum61
Zeros89
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:37.068559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum61
Range61
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.0684158
Coefficient of variation (CV)4.0787712
Kurtosis77.616355
Mean1.4878049
Median Absolute Deviation (MAD)0
Skewness8.2421059
Sum183
Variance36.82567
MonotonicityNot monotonic
2023-12-11T01:52:37.187591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 89
72.4%
1 12
 
9.8%
4 8
 
6.5%
3 5
 
4.1%
2 4
 
3.3%
61 1
 
0.8%
19 1
 
0.8%
17 1
 
0.8%
12 1
 
0.8%
7 1
 
0.8%
ValueCountFrequency (%)
0 89
72.4%
1 12
 
9.8%
2 4
 
3.3%
3 5
 
4.1%
4 8
 
6.5%
7 1
 
0.8%
12 1
 
0.8%
17 1
 
0.8%
19 1
 
0.8%
61 1
 
0.8%
ValueCountFrequency (%)
61 1
 
0.8%
19 1
 
0.8%
17 1
 
0.8%
12 1
 
0.8%
7 1
 
0.8%
4 8
 
6.5%
3 5
 
4.1%
2 4
 
3.3%
1 12
 
9.8%
0 89
72.4%

연산6동 종사자수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1463415
Minimum0
Maximum129
Zeros89
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:37.320212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8.9
Maximum129
Range129
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.613214
Coefficient of variation (CV)4.0088509
Kurtosis82.832016
Mean3.1463415
Median Absolute Deviation (MAD)0
Skewness8.5300601
Sum387
Variance159.09316
MonotonicityNot monotonic
2023-12-11T01:52:37.464727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 89
72.4%
4 7
 
5.7%
7 6
 
4.9%
3 3
 
2.4%
8 3
 
2.4%
31 2
 
1.6%
9 2
 
1.6%
2 2
 
1.6%
1 2
 
1.6%
6 2
 
1.6%
Other values (4) 5
 
4.1%
ValueCountFrequency (%)
0 89
72.4%
1 2
 
1.6%
2 2
 
1.6%
3 3
 
2.4%
4 7
 
5.7%
5 2
 
1.6%
6 2
 
1.6%
7 6
 
4.9%
8 3
 
2.4%
9 2
 
1.6%
ValueCountFrequency (%)
129 1
 
0.8%
31 2
 
1.6%
28 1
 
0.8%
19 1
 
0.8%
9 2
 
1.6%
8 3
2.4%
7 6
4.9%
6 2
 
1.6%
5 2
 
1.6%
4 7
5.7%

연산8동 사업체수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.804878
Minimum0
Maximum74
Zeros89
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:37.580711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum74
Range74
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.1845218
Coefficient of variation (CV)3.9806134
Kurtosis84.923369
Mean1.804878
Median Absolute Deviation (MAD)0
Skewness8.5996455
Sum222
Variance51.617353
MonotonicityNot monotonic
2023-12-11T01:52:37.720800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 89
72.4%
1 11
 
8.9%
2 7
 
5.7%
11 4
 
3.3%
10 4
 
3.3%
4 3
 
2.4%
3 2
 
1.6%
74 1
 
0.8%
8 1
 
0.8%
13 1
 
0.8%
ValueCountFrequency (%)
0 89
72.4%
1 11
 
8.9%
2 7
 
5.7%
3 2
 
1.6%
4 3
 
2.4%
8 1
 
0.8%
10 4
 
3.3%
11 4
 
3.3%
13 1
 
0.8%
74 1
 
0.8%
ValueCountFrequency (%)
74 1
 
0.8%
13 1
 
0.8%
11 4
 
3.3%
10 4
 
3.3%
8 1
 
0.8%
4 3
 
2.4%
3 2
 
1.6%
2 7
 
5.7%
1 11
 
8.9%
0 89
72.4%

연산8동 종사자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7804878
Minimum0
Maximum278
Zeros89
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:37.838886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile27.8
Maximum278
Range278
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.271673
Coefficient of variation (CV)4.1695633
Kurtosis71.655437
Mean6.7804878
Median Absolute Deviation (MAD)0
Skewness7.9103359
Sum834
Variance799.28749
MonotonicityNot monotonic
2023-12-11T01:52:37.945489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 89
72.4%
1 4
 
3.3%
3 4
 
3.3%
5 3
 
2.4%
16 3
 
2.4%
28 2
 
1.6%
14 2
 
1.6%
11 2
 
1.6%
97 2
 
1.6%
4 2
 
1.6%
Other values (9) 10
 
8.1%
ValueCountFrequency (%)
0 89
72.4%
1 4
 
3.3%
2 1
 
0.8%
3 4
 
3.3%
4 2
 
1.6%
5 3
 
2.4%
6 1
 
0.8%
11 2
 
1.6%
14 2
 
1.6%
15 1
 
0.8%
ValueCountFrequency (%)
278 1
 
0.8%
97 2
1.6%
31 1
 
0.8%
29 1
 
0.8%
28 2
1.6%
26 1
 
0.8%
22 1
 
0.8%
19 2
1.6%
16 3
2.4%
15 1
 
0.8%

연산9동 사업체수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1463415
Minimum0
Maximum88
Zeros76
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:38.091181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.9
Maximum88
Range88
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.3985585
Coefficient of variation (CV)3.9129648
Kurtosis91.332812
Mean2.1463415
Median Absolute Deviation (MAD)0
Skewness9.0692024
Sum264
Variance70.535786
MonotonicityNot monotonic
2023-12-11T01:52:38.207127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 76
61.8%
1 15
 
12.2%
2 7
 
5.7%
3 6
 
4.9%
5 5
 
4.1%
4 4
 
3.3%
6 3
 
2.4%
7 2
 
1.6%
8 2
 
1.6%
88 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
0 76
61.8%
1 15
 
12.2%
2 7
 
5.7%
3 6
 
4.9%
4 4
 
3.3%
5 5
 
4.1%
6 3
 
2.4%
7 2
 
1.6%
8 2
 
1.6%
18 1
 
0.8%
ValueCountFrequency (%)
88 1
 
0.8%
22 1
 
0.8%
18 1
 
0.8%
8 2
 
1.6%
7 2
 
1.6%
6 3
2.4%
5 5
4.1%
4 4
3.3%
3 6
4.9%
2 7
5.7%

연산9동 종사자수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1463415
Minimum0
Maximum375
Zeros76
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:52:38.352110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile40.9
Maximum375
Range375
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation35.672849
Coefficient of variation (CV)3.9002315
Kurtosis92.297324
Mean9.1463415
Median Absolute Deviation (MAD)0
Skewness9.0743493
Sum1125
Variance1272.5522
MonotonicityNot monotonic
2023-12-11T01:52:38.524463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 76
61.8%
1 6
 
4.9%
4 4
 
3.3%
3 3
 
2.4%
2 3
 
2.4%
16 2
 
1.6%
8 2
 
1.6%
5 2
 
1.6%
24 2
 
1.6%
9 2
 
1.6%
Other values (17) 21
 
17.1%
ValueCountFrequency (%)
0 76
61.8%
1 6
 
4.9%
2 3
 
2.4%
3 3
 
2.4%
4 4
 
3.3%
5 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
9 2
 
1.6%
10 1
 
0.8%
ValueCountFrequency (%)
375 1
0.8%
58 2
1.6%
53 1
0.8%
48 1
0.8%
45 1
0.8%
41 1
0.8%
40 1
0.8%
31 1
0.8%
30 1
0.8%
29 2
1.6%

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
0A.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 제조업4293000061214234161151813341116816
114320.가구 제조업4293000061214234161151813341116816
11533.기타 제품 제조업782671017313744291349823212612623471028730
116331.귀금속 및 장신용품 제조업24000000000011000013000000
117332.악기제조업12000000000000000000000012
118333.운동 및 경기용구 제조업42911000000000011113000000114
119334.인형,장난감 및 오락용품 제조업24000013000000001100000000
120339.그외 기타 제품 제조업692289163136412913497221148520471028514
12134.산업용 기계 및 장비 수리업2535361122142322120057441133
122340.산업용 기계 및 장비 수리업2535361122142322120057441133