Overview

Dataset statistics

Number of variables9
Number of observations42
Missing cells5
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory77.1 B

Variable types

Numeric2
Text4
DateTime1
Categorical2

Dataset

Description부산광역시_산업단지조성현황_20230101
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3076463

Alerts

기관 is highly overall correlated with 연락처High correlation
연락처 is highly overall correlated with 기관High correlation
지정일자 has 5 (11.9%) missing valuesMissing
연번 has unique valuesUnique
단지명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:51:54.696051
Analysis finished2023-12-10 16:51:56.112450
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.547619
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T01:51:56.228210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum43
Range42
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.348995
Coefficient of variation (CV)0.57310253
Kurtosis-1.1695053
Mean21.547619
Median Absolute Deviation (MAD)10.5
Skewness0.022170564
Sum905
Variance152.49768
MonotonicityStrictly increasing
2023-12-11T01:51:56.438317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
43 1
2.4%
42 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

단지명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:51:56.833245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.404762
Min length4

Characters and Unicode

Total characters437
Distinct characters97
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row신평·장림 일반산업단지(면적-기존)
2nd row신평·장림 일반산업단지(면적-협업)
3rd row정관 농공단지
4th row녹산 국가산업단지
5th row신호 일반산업단지
ValueCountFrequency (%)
일반산업단지 27
33.3%
도시첨단산업단지 4
 
4.9%
신평·장림 2
 
2.5%
정관 2
 
2.5%
사상재생사업지구 1
 
1.2%
국제산업물류도시 1
 
1.2%
1단계 1
 
1.2%
오리 1
 
1.2%
에코장안 1
 
1.2%
정주 1
 
1.2%
Other values (40) 40
49.4%
2023-12-11T01:51:57.357159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 42
 
9.6%
산 42
 
9.6%
지 41
 
9.4%
업 39
 
8.9%
39
 
8.9%
반 31
 
7.1%
일 30
 
6.9%
시 7
 
1.6%
사 5
 
1.1%
장 5
 
1.1%
Other values (87) 156
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
87.2%
Space Separator 39
 
8.9%
Decimal Number 5
 
1.1%
Other Punctuation 4
 
0.9%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 42
 
11.0%
산 42
 
11.0%
지 41
 
10.8%
업 39
 
10.2%
반 31
 
8.1%
일 30
 
7.9%
시 7
 
1.8%
사 5
 
1.3%
장 5
 
1.3%
도 5
 
1.3%
Other values (80) 134
35.2%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Other Punctuation
ValueCountFrequency (%)
· 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
87.2%
Common 56
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 42
 
11.0%
산 42
 
11.0%
지 41
 
10.8%
업 39
 
10.2%
반 31
 
8.1%
일 30
 
7.9%
시 7
 
1.8%
사 5
 
1.3%
장 5
 
1.3%
도 5
 
1.3%
Other values (80) 134
35.2%
Common
ValueCountFrequency (%)
39
69.6%
2 4
 
7.1%
· 4
 
7.1%
( 3
 
5.4%
) 3
 
5.4%
- 2
 
3.6%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
87.2%
ASCII 52
 
11.9%
None 4
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 42
 
11.0%
산 42
 
11.0%
지 41
 
10.8%
업 39
 
10.2%
반 31
 
8.1%
일 30
 
7.9%
시 7
 
1.8%
사 5
 
1.3%
장 5
 
1.3%
도 5
 
1.3%
Other values (80) 134
35.2%
ASCII
ValueCountFrequency (%)
39
75.0%
2 4
 
7.7%
( 3
 
5.8%
) 3
 
5.8%
- 2
 
3.8%
1 1
 
1.9%
None
ValueCountFrequency (%)
· 4
100.0%

위치
Text

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:51:57.663562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length12.833333
Min length9

Characters and Unicode

Total characters539
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)47.6%

Sample

1st row사하구 신평 장림 다대동 일원
2nd row사하구 신평 장림 다대동 일원
3rd row기장군 정관면 일원
4th row강서구 송정동 일원
5th row강서구 신호동 일원(경제자유구역)
ValueCountFrequency (%)
일원 37
26.1%
강서구 20
14.1%
기장군 13
 
9.2%
지사동 11
 
7.7%
장안읍 10
 
7.0%
일원(경제자유구역 6
 
4.2%
사하구 3
 
2.1%
다대동 3
 
2.1%
정관면 3
 
2.1%
해운대구 3
 
2.1%
Other values (28) 33
23.2%
2023-12-11T01:51:58.196255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
18.6%
원 43
 
8.0%
일 43
 
8.0%
동 39
 
7.2%
구 36
 
6.7%
장 25
 
4.6%
강 22
 
4.1%
서 20
 
3.7%
사 16
 
3.0%
기 15
 
2.8%
Other values (53) 180
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
78.5%
Space Separator 100
 
18.6%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Other Punctuation 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 43
 
10.2%
일 43
 
10.2%
동 39
 
9.2%
구 36
 
8.5%
장 25
 
5.9%
강 22
 
5.2%
서 20
 
4.7%
사 16
 
3.8%
기 15
 
3.5%
군 13
 
3.1%
Other values (48) 151
35.7%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
78.5%
Common 116
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 43
 
10.2%
일 43
 
10.2%
동 39
 
9.2%
구 36
 
8.5%
장 25
 
5.9%
강 22
 
5.2%
서 20
 
4.7%
사 16
 
3.8%
기 15
 
3.5%
군 13
 
3.1%
Other values (48) 151
35.7%
Common
ValueCountFrequency (%)
100
86.2%
) 6
 
5.2%
( 6
 
5.2%
· 3
 
2.6%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
78.5%
ASCII 113
 
21.0%
None 3
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
88.5%
) 6
 
5.3%
( 6
 
5.3%
2 1
 
0.9%
Hangul
ValueCountFrequency (%)
원 43
 
10.2%
일 43
 
10.2%
동 39
 
9.2%
구 36
 
8.5%
장 25
 
5.9%
강 22
 
5.2%
서 20
 
4.7%
사 16
 
3.8%
기 15
 
3.5%
군 13
 
3.1%
Other values (48) 151
35.7%
None
ValueCountFrequency (%)
· 3
100.0%

면적(천제곱미터)
Real number (ℝ)

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1124.881
Minimum11
Maximum6998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T01:51:58.421546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile46.4
Q1101
median526.5
Q31544
95-th percentile3557.1
Maximum6998
Range6987
Interquartile range (IQR)1443

Descriptive statistics

Standard deviation1519.0409
Coefficient of variation (CV)1.3504015
Kurtosis5.8970277
Mean1124.881
Median Absolute Deviation (MAD)464.5
Skewness2.2840081
Sum47245
Variance2307485.2
MonotonicityNot monotonic
2023-12-11T01:51:58.682547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
46 2
 
4.8%
885 1
 
2.4%
5710 1
 
2.4%
608 1
 
2.4%
201 1
 
2.4%
97 1
 
2.4%
1478 1
 
2.4%
659 1
 
2.4%
3021 1
 
2.4%
54 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
11 1
2.4%
46 2
4.8%
54 1
2.4%
61 1
2.4%
63 1
2.4%
83 1
2.4%
84 1
2.4%
97 1
2.4%
99 1
2.4%
100 1
2.4%
ValueCountFrequency (%)
6998 1
2.4%
5710 1
2.4%
3580 1
2.4%
3122 1
2.4%
3021 1
2.4%
2448 1
2.4%
1962 1
2.4%
1930 1
2.4%
1912 1
2.4%
1740 1
2.4%

지정일자
Date

MISSING 

Distinct35
Distinct (%)94.6%
Missing5
Missing (%)11.9%
Memory size468.0 B
Minimum1980-09-22 00:00:00
Maximum2020-03-18 00:00:00
2023-12-11T01:51:58.935015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:51:59.214854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

사업기간
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:51:59.583592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters378
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)85.7%

Sample

1st row1980-1984
2nd row1988-1990
3rd row1987-1988
4th row1989-2002
5th row1993-2007
ValueCountFrequency (%)
2009-2023 2
 
4.8%
1991-2008 2
 
4.8%
2017-2023 2
 
4.8%
2017-2028 1
 
2.4%
2014-2020 1
 
2.4%
2022-2025 1
 
2.4%
2015-2030 1
 
2.4%
2013-2018 1
 
2.4%
2010-2019 1
 
2.4%
2013-2019 1
 
2.4%
Other values (29) 29
69.0%
2023-12-11T01:52:00.160844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 101
26.7%
2 95
25.1%
1 58
15.3%
- 42
11.1%
9 22
 
5.8%
3 17
 
4.5%
8 16
 
4.2%
7 11
 
2.9%
5 7
 
1.9%
4 5
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
88.9%
Dash Punctuation 42
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
30.1%
2 95
28.3%
1 58
17.3%
9 22
 
6.5%
3 17
 
5.1%
8 16
 
4.8%
7 11
 
3.3%
5 7
 
2.1%
4 5
 
1.5%
6 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 101
26.7%
2 95
25.1%
1 58
15.3%
- 42
11.1%
9 22
 
5.8%
3 17
 
4.5%
8 16
 
4.2%
7 11
 
2.9%
5 7
 
1.9%
4 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 101
26.7%
2 95
25.1%
1 58
15.3%
- 42
11.1%
9 22
 
5.8%
3 17
 
4.5%
8 16
 
4.2%
7 11
 
2.9%
5 7
 
1.9%
4 5
 
1.3%

추진상황
Text

Distinct28
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T01:52:00.442112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.4285714
Min length3

Characters and Unicode

Total characters396
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)57.1%

Sample

1st row조성완료(2084.6)
2nd row조성완료(2090.6)
3rd row조성완료(2088.12)
4th row조성완료(2002.4)
5th row조성완료(2007.01)
ValueCountFrequency (%)
조성중 10
23.8%
조성계획 4
 
9.5%
조성완료(2016.12 2
 
4.8%
조성완료(2014.12 2
 
4.8%
조성완료(2013.12 1
 
2.4%
조성완료(2090.6 1
 
2.4%
조성완료(2020.9 1
 
2.4%
조성완료(2019.12 1
 
2.4%
조성완료(2020.3 1
 
2.4%
조성완료(2019.10 1
 
2.4%
Other values (18) 18
42.9%
2023-12-11T01:52:00.887632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
10.9%
조 42
10.6%
성 42
10.6%
2 38
9.6%
1 35
8.8%
완 28
7.1%
료 28
7.1%
( 28
7.1%
. 28
7.1%
) 28
7.1%
Other values (10) 56
14.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
39.9%
Decimal Number 154
38.9%
Open Punctuation 28
 
7.1%
Other Punctuation 28
 
7.1%
Close Punctuation 28
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
27.9%
2 38
24.7%
1 35
22.7%
4 8
 
5.2%
8 7
 
4.5%
7 6
 
3.9%
6 5
 
3.2%
3 5
 
3.2%
9 4
 
2.6%
5 3
 
1.9%
Other Letter
ValueCountFrequency (%)
조 42
26.6%
성 42
26.6%
완 28
17.7%
료 28
17.7%
중 10
 
6.3%
획 4
 
2.5%
계 4
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
60.1%
Hangul 158
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
18.1%
2 38
16.0%
1 35
14.7%
( 28
11.8%
. 28
11.8%
) 28
11.8%
4 8
 
3.4%
8 7
 
2.9%
7 6
 
2.5%
6 5
 
2.1%
Other values (3) 12
 
5.0%
Hangul
ValueCountFrequency (%)
조 42
26.6%
성 42
26.6%
완 28
17.7%
료 28
17.7%
중 10
 
6.3%
획 4
 
2.5%
계 4
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
60.1%
Hangul 158
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
18.1%
2 38
16.0%
1 35
14.7%
( 28
11.8%
. 28
11.8%
) 28
11.8%
4 8
 
3.4%
8 7
 
2.9%
7 6
 
2.5%
6 5
 
2.1%
Other values (3) 12
 
5.0%
Hangul
ValueCountFrequency (%)
조 42
26.6%
성 42
26.6%
완 28
17.7%
료 28
17.7%
중 10
 
6.3%
획 4
 
2.5%
계 4
 
2.5%

기관
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
부산경제진흥원
21 
부산광역시 산업입지과
9 
부산광역시 도시균형개발과
4 
부산·진해경제자유구역청
3 
한국산업단지공단
 
2
Other values (3)
3 

Length

Max length13
Median length12.5
Mean length9.047619
Min length7

Unique

Unique3 ?
Unique (%)7.1%

Sample

1st row신평·장림산업단지공단
2nd row한국산업단지공단
3rd row부산경제진흥원
4th row한국산업단지공단
5th row부산경제진흥원

Common Values

ValueCountFrequency (%)
부산경제진흥원 21
50.0%
부산광역시 산업입지과 9
21.4%
부산광역시 도시균형개발과 4
 
9.5%
부산·진해경제자유구역청 3
 
7.1%
한국산업단지공단 2
 
4.8%
신평·장림산업단지공단 1
 
2.4%
명례산업단지공단 1
 
2.4%
부산진해경제자유구역청 1
 
2.4%

Length

2023-12-11T01:52:01.090758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:01.278307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산경제진흥원 21
38.2%
부산광역시 13
23.6%
산업입지과 9
16.4%
도시균형개발과 4
 
7.3%
부산·진해경제자유구역청 3
 
5.5%
한국산업단지공단 2
 
3.6%
신평·장림산업단지공단 1
 
1.8%
명례산업단지공단 1
 
1.8%
부산진해경제자유구역청 1
 
1.8%

연락처
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
051-728-8047
10 
051-600-1832
9 
051-979-5324
3 
051-888-4924
3 
051-742-8701
2 
Other values (15)
15 

Length

Max length13
Median length12
Mean length12.047619
Min length12

Unique

Unique15 ?
Unique (%)35.7%

Sample

1st row051-205-0212
2nd row070-8895-7861
3rd row051-728-8047
4th row070-8895-7842
5th row051-600-1832

Common Values

ValueCountFrequency (%)
051-728-8047 10
23.8%
051-600-1832 9
21.4%
051-979-5324 3
 
7.1%
051-888-4924 3
 
7.1%
051-742-8701 2
 
4.8%
051-888-2852 1
 
2.4%
070-8895-7842 1
 
2.4%
051-915-7772 1
 
2.4%
051-979-5325 1
 
2.4%
051-888-4922 1
 
2.4%
Other values (10) 10
23.8%

Length

2023-12-11T01:52:01.489526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-728-8047 10
23.8%
051-600-1832 9
21.4%
051-979-5324 3
 
7.1%
051-888-4924 3
 
7.1%
051-742-8701 2
 
4.8%
051-888-4932 1
 
2.4%
051-205-0212 1
 
2.4%
051-888-4921 1
 
2.4%
051-888-2812 1
 
2.4%
051-888-4942 1
 
2.4%
Other values (10) 10
23.8%

Interactions

2023-12-11T01:51:55.476018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:51:55.237693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:51:55.614910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:51:55.358413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:01.618200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명위치면적(천제곱미터)지정일자사업기간추진상황기관연락처
연번1.0001.0000.7500.0000.8261.0000.9190.6610.644
단지명1.0001.0001.0001.0001.0001.0001.0001.0001.000
위치0.7501.0001.0000.9850.9460.9700.7450.8380.967
면적(천제곱미터)0.0001.0000.9851.0001.0000.9900.8810.7330.839
지정일자0.8261.0000.9461.0001.0000.9650.9850.0000.974
사업기간1.0001.0000.9700.9900.9651.0000.9880.7570.893
추진상황0.9191.0000.7450.8810.9850.9881.0000.7520.000
기관0.6611.0000.8380.7330.0000.7570.7521.0000.980
연락처0.6441.0000.9670.8390.9740.8930.0000.9801.000
2023-12-11T01:52:01.803742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연락처기관
연락처1.0000.703
기관0.7031.000
2023-12-11T01:52:01.937301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(천제곱미터)기관연락처
연번1.000-0.1660.3590.121
면적(천제곱미터)-0.1661.0000.3180.414
기관0.3590.3181.0000.703
연락처0.1210.4140.7031.000

Missing values

2023-12-11T01:51:55.804559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:51:56.025095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번단지명위치면적(천제곱미터)지정일자사업기간추진상황기관연락처
01신평·장림 일반산업단지(면적-기존)사하구 신평 장림 다대동 일원8851980-09-221980-1984조성완료(2084.6)신평·장림산업단지공단051-205-0212
12신평·장림 일반산업단지(면적-협업)사하구 신평 장림 다대동 일원19301986-12-311988-1990조성완료(2090.6)한국산업단지공단070-8895-7861
23정관 농공단지기장군 정관면 일원2581987-02-251987-1988조성완료(2088.12)부산경제진흥원051-728-8047
34녹산 국가산업단지강서구 송정동 일원69981989-10-201989-2002조성완료(2002.4)한국산업단지공단070-8895-7842
45신호 일반산업단지강서구 신호동 일원(경제자유구역)31221994-01-271993-2007조성완료(2007.01)부산경제진흥원051-600-1832
56센텀시티일반산업단지해운대구 재송동·우동 일원11781997-08-012005-2008조성완료(2007.06)부산경제진흥원051-742-8701
67기룡 일반산업단지기장군 장안읍 기룡리 일원832005-11-021991-2008조성완료(2008.08)부산경제진흥원051-728-8047
78부산과학 일반산업단지강서구 지사동 일원(경제자유구역)19621991-12-211991-2008조성완료(2008.11)부산경제진흥원051-600-1832
89정관 일반산업단지기장군 정관면 일원12102001-10-252001-2010조성완료(2010.3)부산경제진흥원051-728-8047
910화전 일반산업단지강서구 신호·화전동 일원(경제자유구역)24482003-10-302003-2011조성완료(2011.1)부산경제진흥원051-600-1832
연번단지명위치면적(천제곱미터)지정일자사업기간추진상황기관연락처
3233명동 일반산업단지강서구 지사동 일원5062009-07-312009-2023조성중부산진해경제자유구역청051-979-5324
3334기장대우 일반산업단지기장군 장안읍 오리 일원3432010-05-042010-2023조성중부산광역시 산업입지과051-888-4941
3435지사글로벌 일반산업단지강서구 지사동 일원4162017-02-152017-2023조성중부산광역시 산업입지과051-888-4932
3536강서해성 일반산업단지강서구 지사동 일원1002017-07-122017-2023조성중부산광역시 산업입지과051-888-4924
3637금곡 도시첨단산업단지북구 금곡동 일원462020-03-182018-2023조성중부산광역시 산업입지과051-888-4931
3738센텀2지구 도시첨단산업단지해운대구 반여동 반송동 일원1912<NA>2016-2027조성중부산광역시 산업입지과051-888-4942
3839연구개발특구강서구 대저동 일원1740<NA>2012-2030조성계획부산광역시 도시균형개발과051-888-2812
3940서부산권 복합산업유통단지강서구 강동동 일원1390<NA>2017-2028조성계획부산광역시 도시균형개발과051-888-2815
4042명서 일반산업단지강서구 지사동 일원120<NA>2022-2025조성계획부산광역시 산업입지과051-888-4924
4143명동2 일반산업단지강서구 지사동 일원260<NA>2021-2026조성계획부산광역시 산업입지과051-888-4924