Overview

Dataset statistics

Number of variables23
Number of observations2260
Missing cells2260
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory437.1 KiB
Average record size in memory198.1 B

Variable types

Numeric12
Categorical7
Text2
DateTime1
Unsupported1

Dataset

Description광주광역시 광산구 장기미집행 국토계획 중 교통시설에 관한 (시설종류, 시설명, 결정일자, 결정위치, 결정면적, 보상비 등) 현황을 제공합니다.
URLhttps://www.data.go.kr/data/15049620/fileData.do

Alerts

기준연도 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설종류 is highly imbalanced (58.7%)Imbalance
결정최초고시번호 is highly imbalanced (97.0%)Imbalance
결정최종변경고시번호 is highly imbalanced (86.0%)Imbalance
착공일 is highly imbalanced (91.3%)Imbalance
준공일 has 2260 (100.0%) missing valuesMissing
결정면적 is highly skewed (γ1 = 35.64439652)Skewed
집행면적 is highly skewed (γ1 = 35.50253817)Skewed
보상비 is highly skewed (γ1 = 22.64363105)Skewed
사업비 is highly skewed (γ1 = 23.53135456)Skewed
미집행면적_국-공유지 is highly skewed (γ1 = 24.04805978)Skewed
미집행면적_국-공유대지 is highly skewed (γ1 = 44.86686645)Skewed
연번 has unique valuesUnique
준공일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
집행면적 has 772 (34.2%) zerosZeros
보상비 has 2180 (96.5%) zerosZeros
사업비 has 2169 (96.0%) zerosZeros
미집행면적_국-공유지 has 2192 (97.0%) zerosZeros
미집행면적_사유지 has 1434 (63.5%) zerosZeros
미집행면적_국-공유대지 has 2255 (99.8%) zerosZeros
미집행면적_사유대지 has 1733 (76.7%) zerosZeros
보상비_사유지 has 1434 (63.5%) zerosZeros
보상비_사유대지 has 1733 (76.7%) zerosZeros
공사비 has 1420 (62.8%) zerosZeros

Reproduction

Analysis started2023-12-12 19:49:42.693869
Analysis finished2023-12-12 19:49:43.235875
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2260
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1130.5
Minimum1
Maximum2260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:43.328001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile113.95
Q1565.75
median1130.5
Q31695.25
95-th percentile2147.05
Maximum2260
Range2259
Interquartile range (IQR)1129.5

Descriptive statistics

Standard deviation652.55013
Coefficient of variation (CV)0.57722258
Kurtosis-1.2
Mean1130.5
Median Absolute Deviation (MAD)565
Skewness0
Sum2554930
Variance425821.67
MonotonicityStrictly increasing
2023-12-13T04:49:43.520699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1512 1
 
< 0.1%
1506 1
 
< 0.1%
1507 1
 
< 0.1%
1508 1
 
< 0.1%
1509 1
 
< 0.1%
1510 1
 
< 0.1%
1511 1
 
< 0.1%
1513 1
 
< 0.1%
1504 1
 
< 0.1%
Other values (2250) 2250
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2260 1
< 0.1%
2259 1
< 0.1%
2258 1
< 0.1%
2257 1
< 0.1%
2256 1
< 0.1%
2255 1
< 0.1%
2254 1
< 0.1%
2253 1
< 0.1%
2252 1
< 0.1%
2251 1
< 0.1%

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2022
2260 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 2260
100.0%

Length

2023-12-13T04:49:43.671530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:49:43.774576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 2260
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
광산구
2260 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산구 2260
100.0%

Length

2023-12-13T04:49:43.884817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:49:44.000525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 2260
100.0%

시설종류
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
일반도로
1873 
보행자전용도로
246 
노외주차장
 
140
자동차전용도로
 
1

Length

Max length7
Median length4
Mean length4.389823
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반도로 1873
82.9%
보행자전용도로 246
 
10.9%
노외주차장 140
 
6.2%
자동차전용도로 1
 
< 0.1%

Length

2023-12-13T04:49:44.156291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:49:44.297765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반도로 1873
82.9%
보행자전용도로 246
 
10.9%
노외주차장 140
 
6.2%
자동차전용도로 1
 
< 0.1%

시설명
Text

Distinct2216
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-13T04:49:44.625317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.8933628
Min length3

Characters and Unicode

Total characters15579
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2177 ?
Unique (%)96.3%

Sample

1st row주차장
2nd row주차장
3rd row신흥신기1 주차장
4th row흑석동 주차장
5th row신흥신기2 주차장
ValueCountFrequency (%)
주차장 139
 
5.7%
선암 48
 
2.0%
왕동 5
 
0.2%
신동화산.학동 4
 
0.2%
신촌 3
 
0.1%
동.서복 3
 
0.1%
신촌소로3-1 3
 
0.1%
신촌소로3-2 3
 
0.1%
소로3-4 2
 
0.1%
본촌소로3-4 2
 
0.1%
Other values (2202) 2242
91.4%
2023-12-13T04:49:45.220037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2153
 
13.8%
2 1554
 
10.0%
3 1398
 
9.0%
1 1293
 
8.3%
택 698
 
4.5%
로 423
 
2.7%
소 405
 
2.6%
4 379
 
2.4%
5 349
 
2.2%
산 322
 
2.1%
Other values (124) 6605
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6942
44.6%
Decimal Number 6211
39.9%
Dash Punctuation 2153
 
13.8%
Space Separator 194
 
1.2%
Other Punctuation 75
 
0.5%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
택 698
 
10.1%
로 423
 
6.1%
소 405
 
5.8%
산 322
 
4.6%
수 304
 
4.4%
완 293
 
4.2%
남 279
 
4.0%
정 277
 
4.0%
중 268
 
3.9%
송 261
 
3.8%
Other values (109) 3412
49.2%
Decimal Number
ValueCountFrequency (%)
2 1554
25.0%
3 1398
22.5%
1 1293
20.8%
4 379
 
6.1%
5 349
 
5.6%
6 308
 
5.0%
7 275
 
4.4%
8 231
 
3.7%
9 219
 
3.5%
0 205
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 2153
100.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Other Punctuation
ValueCountFrequency (%)
. 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8637
55.4%
Hangul 6942
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
택 698
 
10.1%
로 423
 
6.1%
소 405
 
5.8%
산 322
 
4.6%
수 304
 
4.4%
완 293
 
4.2%
남 279
 
4.0%
정 277
 
4.0%
중 268
 
3.9%
송 261
 
3.8%
Other values (109) 3412
49.2%
Common
ValueCountFrequency (%)
- 2153
24.9%
2 1554
18.0%
3 1398
16.2%
1 1293
15.0%
4 379
 
4.4%
5 349
 
4.0%
6 308
 
3.6%
7 275
 
3.2%
8 231
 
2.7%
9 219
 
2.5%
Other values (5) 478
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8637
55.4%
Hangul 6942
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2153
24.9%
2 1554
18.0%
3 1398
16.2%
1 1293
15.0%
4 379
 
4.4%
5 349
 
4.0%
6 308
 
3.6%
7 275
 
3.2%
8 231
 
2.7%
9 219
 
2.5%
Other values (5) 478
 
5.5%
Hangul
ValueCountFrequency (%)
택 698
 
10.1%
로 423
 
6.1%
소 405
 
5.8%
산 322
 
4.6%
수 304
 
4.4%
완 293
 
4.2%
남 279
 
4.0%
정 277
 
4.0%
중 268
 
3.9%
송 261
 
3.8%
Other values (109) 3412
49.2%

결정일자
Date

Distinct131
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
Minimum1975-02-08 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T04:49:45.435691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:49:45.633598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결정최초고시번호
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
확인중
2236 
광고91(99.07.31)
 
3
광고91(99.07.19)
 
2
광고26(93.03.10)
 
2
광고56(91.05.22)
 
2
Other values (15)
 
15

Length

Max length23
Median length3
Mean length3.1331858
Min length3

Unique

Unique15 ?
Unique (%)0.7%

Sample

1st row광주광역시 고시 제2022-169호
2nd row광주광역시 고시 제2019-286호
3rd row확인중
4th row확인중
5th row확인중

Common Values

ValueCountFrequency (%)
확인중 2236
98.9%
광고91(99.07.31) 3
 
0.1%
광고91(99.07.19) 2
 
0.1%
광고26(93.03.10) 2
 
0.1%
광고56(91.05.22) 2
 
0.1%
광고64(99.05.29) 1
 
< 0.1%
광산구고시 제2022-163호 1
 
< 0.1%
광산구고시 제2022-185호 1
 
< 0.1%
광산구고시 제2021-28호 1
 
< 0.1%
건설부고시1975-24호(75.02.18) 1
 
< 0.1%
Other values (10) 10
 
0.4%

Length

2023-12-13T04:49:45.818362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
확인중 2236
98.4%
광산구고시 9
 
0.4%
광고91(99.07.31 3
 
0.1%
고시 2
 
0.1%
광주광역시 2
 
0.1%
광고26(93.03.10 2
 
0.1%
광고91(99.07.19 2
 
0.1%
광고56(91.05.22 2
 
0.1%
광고64(99.05.29 1
 
< 0.1%
제2020-153호 1
 
< 0.1%
Other values (13) 13
 
0.6%

결정최종변경고시번호
Categorical

IMBALANCE 

Distinct25
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
확인중
2064 
광산구고시 제2020-118호
 
99
광산구고시 제2017-148호
 
31
광산구고시 제2017-116호
 
24
광산구 고시 제2020-118호
 
7
Other values (20)
 
35

Length

Max length20
Median length3
Mean length4.1314159
Min length3

Unique

Unique15 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
확인중 2064
91.3%
광산구고시 제2020-118호 99
 
4.4%
광산구고시 제2017-148호 31
 
1.4%
광산구고시 제2017-116호 24
 
1.1%
광산구 고시 제2020-118호 7
 
0.3%
광산구고시 제2020-145호 7
 
0.3%
광산구고시 제2020-123호 6
 
0.3%
광산구고시 제2022-163호 3
 
0.1%
광주광역시 광산구 제2020-123호 2
 
0.1%
광산구 고시 제2020-123호 2
 
0.1%
Other values (15) 15
 
0.7%

Length

2023-12-13T04:49:46.013227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
확인중 2064
83.6%
광산구고시 180
 
7.3%
제2020-118호 106
 
4.3%
제2017-148호 31
 
1.3%
제2017-116호 24
 
1.0%
광산구 15
 
0.6%
고시 12
 
0.5%
제2020-123호 10
 
0.4%
제2020-145호 8
 
0.3%
제2022-163호 3
 
0.1%
Other values (14) 17
 
0.7%

결정위치
Text

Distinct1972
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-13T04:49:46.375143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length16.283186
Min length5

Characters and Unicode

Total characters36800
Distinct characters139
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1819 ?
Unique (%)80.5%

Sample

1st row쌍암동 653-1
2nd row송정동 501
3rd row신촌동 1067-12
4th row흑석동 158-15
5th row신촌동 산99-1
ValueCountFrequency (%)
수완동 276
 
3.9%
장덕동 275
 
3.9%
신창동 255
 
3.6%
신가동 231
 
3.3%
송정동 134
 
1.9%
소로3-1 129
 
1.8%
도산동 126
 
1.8%
소촌동 125
 
1.8%
비아동 81
 
1.2%
쌍암동 75
 
1.1%
Other values (2346) 5312
75.7%
2023-12-13T04:49:46.902310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4759
 
12.9%
- 3602
 
9.8%
1 3442
 
9.4%
동 2833
 
7.7%
2 2469
 
6.7%
, 2008
 
5.5%
3 1909
 
5.2%
4 1300
 
3.5%
6 1166
 
3.2%
5 1105
 
3.0%
Other values (129) 12207
33.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14805
40.2%
Other Letter 11456
31.1%
Space Separator 4759
 
12.9%
Dash Punctuation 3602
 
9.8%
Other Punctuation 2009
 
5.5%
Math Symbol 102
 
0.3%
Close Punctuation 27
 
0.1%
Open Punctuation 27
 
0.1%
Uppercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2833
24.7%
소 1092
 
9.5%
중 616
 
5.4%
신 608
 
5.3%
로 574
 
5.0%
산 571
 
5.0%
수 344
 
3.0%
덕 325
 
2.8%
대 295
 
2.6%
장 291
 
2.5%
Other values (107) 3907
34.1%
Decimal Number
ValueCountFrequency (%)
1 3442
23.2%
2 2469
16.7%
3 1909
12.9%
4 1300
 
8.8%
6 1166
 
7.9%
5 1105
 
7.5%
7 918
 
6.2%
9 874
 
5.9%
0 811
 
5.5%
8 811
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
46.2%
A 3
23.1%
L 2
 
15.4%
C 1
 
7.7%
M 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 2008
> 99.9%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4759
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3602
100.0%
Math Symbol
ValueCountFrequency (%)
~ 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25331
68.8%
Hangul 11456
31.1%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2833
24.7%
소 1092
 
9.5%
중 616
 
5.4%
신 608
 
5.3%
로 574
 
5.0%
산 571
 
5.0%
수 344
 
3.0%
덕 325
 
2.8%
대 295
 
2.6%
장 291
 
2.5%
Other values (107) 3907
34.1%
Common
ValueCountFrequency (%)
4759
18.8%
- 3602
14.2%
1 3442
13.6%
2 2469
9.7%
, 2008
7.9%
3 1909
7.5%
4 1300
 
5.1%
6 1166
 
4.6%
5 1105
 
4.4%
7 918
 
3.6%
Other values (7) 2653
10.5%
Latin
ValueCountFrequency (%)
B 6
46.2%
A 3
23.1%
L 2
 
15.4%
C 1
 
7.7%
M 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25344
68.9%
Hangul 11454
31.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4759
18.8%
- 3602
14.2%
1 3442
13.6%
2 2469
9.7%
, 2008
7.9%
3 1909
7.5%
4 1300
 
5.1%
6 1166
 
4.6%
5 1105
 
4.4%
7 918
 
3.6%
Other values (12) 2666
10.5%
Hangul
ValueCountFrequency (%)
동 2833
24.7%
소 1092
 
9.5%
중 616
 
5.4%
신 608
 
5.3%
로 574
 
5.0%
산 571
 
5.0%
수 344
 
3.0%
덕 325
 
2.8%
대 295
 
2.6%
장 291
 
2.5%
Other values (106) 3905
34.1%
Compat Jamo
ValueCountFrequency (%)
ㅡ 2
100.0%

결정면적
Real number (ℝ)

SKEWED 

Distinct1101
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2311.3659
Minimum6
Maximum569490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:47.064502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile99.8
Q1420
median888
Q31812
95-th percentile6168.55
Maximum569490
Range569484
Interquartile range (IQR)1392

Descriptive statistics

Standard deviation13252.615
Coefficient of variation (CV)5.7336723
Kurtosis1492.1997
Mean2311.3659
Median Absolute Deviation (MAD)582
Skewness35.644397
Sum5223687
Variance1.756318 × 108
MonotonicityNot monotonic
2023-12-13T04:49:47.214666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 27
 
1.2%
96 21
 
0.9%
240 18
 
0.8%
300 17
 
0.8%
180 16
 
0.7%
60 15
 
0.7%
800 14
 
0.6%
108 14
 
0.6%
102 12
 
0.5%
138 10
 
0.4%
Other values (1091) 2096
92.7%
ValueCountFrequency (%)
6 1
 
< 0.1%
12 1
 
< 0.1%
42 9
0.4%
50 4
 
0.2%
56 1
 
< 0.1%
60 15
0.7%
64 2
 
0.1%
66 1
 
< 0.1%
68 4
 
0.2%
72 10
0.4%
ValueCountFrequency (%)
569490 1
< 0.1%
119070 1
< 0.1%
100785 1
< 0.1%
95790 1
< 0.1%
67120 1
< 0.1%
63495 1
< 0.1%
62010 1
< 0.1%
61080 1
< 0.1%
50000 1
< 0.1%
35385 1
< 0.1%

집행면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct799
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1934.2128
Minimum0
Maximum569490
Zeros772
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:47.345353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median366
Q31341
95-th percentile6102.65
Maximum569490
Range569490
Interquartile range (IQR)1341

Descriptive statistics

Standard deviation13280.552
Coefficient of variation (CV)6.8661278
Kurtosis1483.6908
Mean1934.2128
Median Absolute Deviation (MAD)366
Skewness35.502538
Sum4371321
Variance1.7637307 × 108
MonotonicityNot monotonic
2023-12-13T04:49:47.480993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 772
34.2%
90 27
 
1.2%
96 20
 
0.9%
300 15
 
0.7%
180 14
 
0.6%
60 14
 
0.6%
800 13
 
0.6%
240 12
 
0.5%
108 12
 
0.5%
102 11
 
0.5%
Other values (789) 1350
59.7%
ValueCountFrequency (%)
0 772
34.2%
6 1
 
< 0.1%
12 1
 
< 0.1%
40 1
 
< 0.1%
42 9
 
0.4%
50 4
 
0.2%
60 14
 
0.6%
64 1
 
< 0.1%
66 1
 
< 0.1%
68 4
 
0.2%
ValueCountFrequency (%)
569490 1
< 0.1%
119070 1
< 0.1%
100785 1
< 0.1%
95790 1
< 0.1%
67120 1
< 0.1%
63495 1
< 0.1%
62010 1
< 0.1%
61080 1
< 0.1%
50000 1
< 0.1%
35385 1
< 0.1%

착공일
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
<NA>
2153 
2001-04-19
 
69
2001-10-31
 
14
2007-10-15
 
3
2006-03-28
 
3
Other values (15)
 
18

Length

Max length10
Median length4
Mean length4.2840708
Min length4

Unique

Unique12 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2153
95.3%
2001-04-19 69
 
3.1%
2001-10-31 14
 
0.6%
2007-10-15 3
 
0.1%
2006-03-28 3
 
0.1%
2007-12-24 2
 
0.1%
2006-02-15 2
 
0.1%
2010-11-05 2
 
0.1%
2007-03-19 1
 
< 0.1%
2006-06-15 1
 
< 0.1%
Other values (10) 10
 
0.4%

Length

2023-12-13T04:49:47.626763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2153
95.3%
2001-04-19 69
 
3.1%
2001-10-31 14
 
0.6%
2007-10-15 3
 
0.1%
2006-03-28 3
 
0.1%
2007-12-24 2
 
0.1%
2006-02-15 2
 
0.1%
2010-11-05 2
 
0.1%
2012-10-25 1
 
< 0.1%
2018-04-12 1
 
< 0.1%
Other values (10) 10
 
0.4%

준공일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2260
Missing (%)100.0%
Memory size20.0 KiB

보상비
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.225221
Minimum0
Maximum4613
Zeros2180
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:47.753027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4613
Range4613
Interquartile range (IQR)0

Descriptive statistics

Standard deviation150.71864
Coefficient of variation (CV)12.3285
Kurtosis582.95434
Mean12.225221
Median Absolute Deviation (MAD)0
Skewness22.643631
Sum27629
Variance22716.108
MonotonicityNot monotonic
2023-12-13T04:49:47.887706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2180
96.5%
14 4
 
0.2%
107 3
 
0.1%
16 3
 
0.1%
191 2
 
0.1%
80 2
 
0.1%
77 2
 
0.1%
79 1
 
< 0.1%
4613 1
 
< 0.1%
254 1
 
< 0.1%
Other values (61) 61
 
2.7%
ValueCountFrequency (%)
0 2180
96.5%
14 4
 
0.2%
15 1
 
< 0.1%
16 3
 
0.1%
17 1
 
< 0.1%
20 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
30 1
 
< 0.1%
32 1
 
< 0.1%
ValueCountFrequency (%)
4613 1
< 0.1%
3508 1
< 0.1%
2550 1
< 0.1%
2542 1
< 0.1%
898 1
< 0.1%
691 1
< 0.1%
650 1
< 0.1%
571 1
< 0.1%
505 1
< 0.1%
468 1
< 0.1%

사업비
Real number (ℝ)

SKEWED  ZEROS 

Distinct83
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.144248
Minimum0
Maximum6512
Zeros2169
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:48.055286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6512
Range6512
Interquartile range (IQR)0

Descriptive statistics

Standard deviation222.98014
Coefficient of variation (CV)13.00612
Kurtosis611.57734
Mean17.144248
Median Absolute Deviation (MAD)0
Skewness23.531355
Sum38746
Variance49720.142
MonotonicityNot monotonic
2023-12-13T04:49:48.203705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2169
96.0%
9 4
 
0.2%
10 3
 
0.1%
90 2
 
0.1%
340 2
 
0.1%
151 2
 
0.1%
127 2
 
0.1%
566 1
 
< 0.1%
418 1
 
< 0.1%
6512 1
 
< 0.1%
Other values (73) 73
 
3.2%
ValueCountFrequency (%)
0 2169
96.0%
5 1
 
< 0.1%
9 4
 
0.2%
10 3
 
0.1%
21 1
 
< 0.1%
24 1
 
< 0.1%
30 1
 
< 0.1%
32 1
 
< 0.1%
39 1
 
< 0.1%
42 1
 
< 0.1%
ValueCountFrequency (%)
6512 1
< 0.1%
6036 1
< 0.1%
3600 1
< 0.1%
3578 1
< 0.1%
1404 1
< 0.1%
1003 1
< 0.1%
713 1
< 0.1%
660 1
< 0.1%
635 1
< 0.1%
566 1
< 0.1%

미집행면적_국-공유지
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3522124
Minimum0
Maximum3160
Zeros2192
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:48.349025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3160
Range3160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation87.950854
Coefficient of variation (CV)11.962502
Kurtosis765.08241
Mean7.3522124
Median Absolute Deviation (MAD)0
Skewness24.04806
Sum16616
Variance7735.3527
MonotonicityNot monotonic
2023-12-13T04:49:48.510060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2192
97.0%
5 3
 
0.1%
3 2
 
0.1%
8 2
 
0.1%
50 2
 
0.1%
1 2
 
0.1%
39 2
 
0.1%
20 2
 
0.1%
123 2
 
0.1%
6 1
 
< 0.1%
Other values (50) 50
 
2.2%
ValueCountFrequency (%)
0 2192
97.0%
1 2
 
0.1%
2 1
 
< 0.1%
3 2
 
0.1%
5 3
 
0.1%
6 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
3160 1
< 0.1%
1176 1
< 0.1%
870 1
< 0.1%
858 1
< 0.1%
824 1
< 0.1%
748 1
< 0.1%
744 1
< 0.1%
730 1
< 0.1%
632 1
< 0.1%
597 1
< 0.1%

미집행면적_사유지
Real number (ℝ)

ZEROS 

Distinct585
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.80088
Minimum0
Maximum13432
Zeros1434
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:48.659220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3484.25
95-th percentile1830.3
Maximum13432
Range13432
Interquartile range (IQR)484.25

Descriptive statistics

Standard deviation744.59649
Coefficient of variation (CV)2.0135065
Kurtosis48.234651
Mean369.80088
Median Absolute Deviation (MAD)0
Skewness4.5621842
Sum835750
Variance554423.93
MonotonicityNot monotonic
2023-12-13T04:49:49.140065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1434
63.5%
744 6
 
0.3%
240 6
 
0.3%
576 5
 
0.2%
400 5
 
0.2%
440 5
 
0.2%
436 4
 
0.2%
384 4
 
0.2%
918 4
 
0.2%
330 4
 
0.2%
Other values (575) 783
34.6%
ValueCountFrequency (%)
0 1434
63.5%
7 1
 
< 0.1%
20 1
 
< 0.1%
25 1
 
< 0.1%
32 1
 
< 0.1%
36 1
 
< 0.1%
38 1
 
< 0.1%
41 1
 
< 0.1%
42 1
 
< 0.1%
48 1
 
< 0.1%
ValueCountFrequency (%)
13432 1
< 0.1%
5660 1
< 0.1%
5000 2
0.1%
4893 1
< 0.1%
4455 1
< 0.1%
4290 1
< 0.1%
4230 1
< 0.1%
4080 1
< 0.1%
4000 1
< 0.1%
3963 1
< 0.1%

미집행면적_국-공유대지
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8300885
Minimum0
Maximum3160
Zeros2255
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:49.280914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3160
Range3160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.940815
Coefficient of variation (CV)37.124333
Kurtosis2072.6257
Mean1.8300885
Median Absolute Deviation (MAD)0
Skewness44.866866
Sum4136
Variance4615.9543
MonotonicityNot monotonic
2023-12-13T04:49:49.412668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2255
99.8%
3160 1
 
< 0.1%
632 1
 
< 0.1%
185 1
 
< 0.1%
40 1
 
< 0.1%
119 1
 
< 0.1%
ValueCountFrequency (%)
0 2255
99.8%
40 1
 
< 0.1%
119 1
 
< 0.1%
185 1
 
< 0.1%
632 1
 
< 0.1%
3160 1
 
< 0.1%
ValueCountFrequency (%)
3160 1
 
< 0.1%
632 1
 
< 0.1%
185 1
 
< 0.1%
119 1
 
< 0.1%
40 1
 
< 0.1%
0 2255
99.8%

미집행면적_사유대지
Real number (ℝ)

ZEROS 

Distinct345
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.956637
Minimum0
Maximum5000
Zeros1733
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:49.586266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile426
Maximum5000
Range5000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation227.81591
Coefficient of variation (CV)3.1660166
Kurtosis205.31118
Mean71.956637
Median Absolute Deviation (MAD)0
Skewness11.033363
Sum162622
Variance51900.089
MonotonicityNot monotonic
2023-12-13T04:49:49.775649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1733
76.7%
153 6
 
0.3%
122 6
 
0.3%
121 4
 
0.2%
258 4
 
0.2%
328 4
 
0.2%
100 4
 
0.2%
169 4
 
0.2%
280 4
 
0.2%
144 4
 
0.2%
Other values (335) 487
 
21.5%
ValueCountFrequency (%)
0 1733
76.7%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
0.1%
6 2
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
13 3
 
0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
5000 2
0.1%
2704 1
< 0.1%
1723 1
< 0.1%
1532 1
< 0.1%
1530 1
< 0.1%
1476 1
< 0.1%
1216 1
< 0.1%
1103 1
< 0.1%
1094 1
< 0.1%
1021 1
< 0.1%

보상비_사유지
Real number (ℝ)

ZEROS 

Distinct386
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.71858
Minimum0
Maximum5827
Zeros1434
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:49.981091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3115.5
95-th percentile565
Maximum5827
Range5827
Interquartile range (IQR)115.5

Descriptive statistics

Standard deviation325.90106
Coefficient of variation (CV)2.7684759
Kurtosis102.06421
Mean117.71858
Median Absolute Deviation (MAD)0
Skewness8.0253273
Sum266044
Variance106211.5
MonotonicityNot monotonic
2023-12-13T04:49:50.200161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1434
63.5%
6 13
 
0.6%
8 13
 
0.6%
4 11
 
0.5%
5 10
 
0.4%
14 9
 
0.4%
9 9
 
0.4%
10 9
 
0.4%
23 8
 
0.4%
117 8
 
0.4%
Other values (376) 736
32.6%
ValueCountFrequency (%)
0 1434
63.5%
2 4
 
0.2%
3 2
 
0.1%
4 11
 
0.5%
5 10
 
0.4%
6 13
 
0.6%
7 8
 
0.4%
8 13
 
0.6%
9 9
 
0.4%
10 9
 
0.4%
ValueCountFrequency (%)
5827 1
< 0.1%
5476 1
< 0.1%
4030 1
< 0.1%
4023 1
< 0.1%
2808 1
< 0.1%
2790 1
< 0.1%
2758 1
< 0.1%
2452 1
< 0.1%
2101 1
< 0.1%
2074 1
< 0.1%

보상비_사유대지
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3663717
Minimum0
Maximum331
Zeros1733
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:50.411648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile54.05
Maximum331
Range331
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.00136
Coefficient of variation (CV)2.6692684
Kurtosis38.947231
Mean9.3663717
Median Absolute Deviation (MAD)0
Skewness5.0006995
Sum21168
Variance625.06801
MonotonicityNot monotonic
2023-12-13T04:49:50.601938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1733
76.7%
20 18
 
0.8%
15 17
 
0.8%
18 15
 
0.7%
22 14
 
0.6%
25 14
 
0.6%
2 14
 
0.6%
23 13
 
0.6%
24 12
 
0.5%
12 11
 
0.5%
Other values (103) 399
 
17.7%
ValueCountFrequency (%)
0 1733
76.7%
2 14
 
0.6%
3 3
 
0.1%
4 8
 
0.4%
5 6
 
0.3%
6 6
 
0.3%
7 8
 
0.4%
8 9
 
0.4%
9 3
 
0.1%
10 5
 
0.2%
ValueCountFrequency (%)
331 1
< 0.1%
302 1
< 0.1%
289 1
< 0.1%
226 1
< 0.1%
203 1
< 0.1%
201 1
< 0.1%
189 1
< 0.1%
158 1
< 0.1%
156 1
< 0.1%
154 2
0.1%

공사비
Real number (ℝ)

ZEROS 

Distinct375
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.400442
Minimum0
Maximum2821
Zeros1420
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-13T04:49:50.807595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q388
95-th percentile362
Maximum2821
Range2821
Interquartile range (IQR)88

Descriptive statistics

Standard deviation151.99197
Coefficient of variation (CV)2.1287259
Kurtosis57.687799
Mean71.400442
Median Absolute Deviation (MAD)0
Skewness5.1434207
Sum161365
Variance23101.56
MonotonicityNot monotonic
2023-12-13T04:49:51.002355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1420
62.8%
102 8
 
0.4%
89 8
 
0.4%
48 8
 
0.4%
40 8
 
0.4%
33 7
 
0.3%
43 7
 
0.3%
35 7
 
0.3%
26 6
 
0.3%
140 6
 
0.3%
Other values (365) 775
34.3%
ValueCountFrequency (%)
0 1420
62.8%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 3
 
0.1%
ValueCountFrequency (%)
2821 1
< 0.1%
1530 1
< 0.1%
1200 1
< 0.1%
1189 1
< 0.1%
990 1
< 0.1%
930 1
< 0.1%
901 1
< 0.1%
846 1
< 0.1%
824 1
< 0.1%
816 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2022-12-31
2260 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 2260
100.0%

Length

2023-12-13T04:49:51.177130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:49:51.285276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 2260
100.0%

Sample

연번기준연도시군구명시설종류시설명결정일자결정최초고시번호결정최종변경고시번호결정위치결정면적집행면적착공일준공일보상비사업비미집행면적_국-공유지미집행면적_사유지미집행면적_국-공유대지미집행면적_사유대지보상비_사유지보상비_사유대지공사비데이터기준일자
012022광산구노외주차장주차장2022-06-16광주광역시 고시 제2022-169호확인중쌍암동 653-131600<NA><NA>00316003160000232022-12-31
122022광산구노외주차장주차장2019-11-15광주광역시 고시 제2019-286호확인중송정동 5016320<NA><NA>0063206320001002022-12-31
232022광산구노외주차장신흥신기1 주차장2007-04-20확인중확인중신촌동 1067-121920<NA><NA>001857185020242022-12-31
342022광산구노외주차장흑석동 주차장2009-05-15확인중확인중흑석동 158-1515890<NA><NA>0034012490062901432022-12-31
452022광산구노외주차장신흥신기2 주차장2007-04-20확인중확인중신촌동 산99-14730<NA><NA>00473040000612022-12-31
562022광산구노외주차장내왕산.내등 주차장2006-03-07확인중확인중왕동 237-13330<NA><NA>00033300160432022-12-31
672022광산구노외주차장대덕 주차장2006-03-07확인중확인중동산동 8972180<NA><NA>00021800100282022-12-31
782022광산구노외주차장용봉2 주차장2006-03-07확인중확인중용봉동 213-12720<NA><NA>0002720060352022-12-31
892022광산구노외주차장용봉1 주차장2006-03-07확인중확인중용봉동 2745080<NA><NA>0005080050662022-12-31
9102022광산구노외주차장기룡 주차장2006-03-07확인중확인중하산동 6837300<NA><NA>0073000000942022-12-31
연번기준연도시군구명시설종류시설명결정일자결정최초고시번호결정최종변경고시번호결정위치결정면적집행면적착공일준공일보상비사업비미집행면적_국-공유지미집행면적_사유지미집행면적_국-공유대지미집행면적_사유대지보상비_사유지보상비_사유대지공사비데이터기준일자
225022512022광산구일반도로송정3-1311992-11-19확인중확인중운수동 68-1, 운수동 68-1487449<NA><NA>7610803803811452022-12-31
225122522022광산구일반도로송정3-1301992-11-19확인중확인중운수동 68-1, 운수동 70-4470434<NA><NA>7410403603614262022-12-31
225222532022광산구일반도로비아1-291992-11-19확인중확인중신창동 655, 신창동 683-3632000<NA><NA>00032000027006262022-12-31
225322542022광산구일반도로송정2-2201986-06-04확인중확인중소촌동 457-3, 소촌동 457-3640<NA><NA>0006400190132022-12-31
225422552022광산구일반도로송정2-2181986-06-04확인중확인중도산동 1065-2, 도산동 1051-212640<NA><NA>00012640037902532022-12-31
225522562022광산구일반도로송정2-2171986-06-04확인중확인중송정동 1003-19, 송정동 96519360<NA><NA>00019360058103872022-12-31
225622572022광산구일반도로송정2-2151986-06-04확인중확인중신촌동 709-3, 신촌동 720-227680<NA><NA>00027680083005542022-12-31
225722582022광산구일반도로소로3-352021-09-15광산구고시 제2021-113호광산구고시 제2021-113호지산동17-5,지산동52788008800<NA><NA>0000000002022-12-31
225822592022광산구일반도로중로2-4501992-11-19광산구고시 제1992-150호광산구고시 제2021-82호신가동383,신가동379-2840840<NA><NA>0000000002022-12-31
225922602022광산구일반도로중로3-3202021-06-23광산구고시 제2021-81호광산구고시 제2021-81호신창동1080-31,신창동338-118591859<NA><NA>0000000002022-12-31