Overview

Dataset statistics

Number of variables42
Number of observations49
Missing cells1238
Missing cells (%)60.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory375.7 B

Variable types

Categorical10
Text3
Numeric7
Unsupported21
DateTime1

Dataset

Description부산광역시_사하구_가로수현황_20221221
Author부산광역시 사하구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079307

Alerts

기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
이팝나무 is highly imbalanced (72.4%)Imbalance
회화나무 is highly imbalanced (75.4%)Imbalance
칠엽수 is highly imbalanced (85.6%)Imbalance
팽나무 is highly imbalanced (78.5%)Imbalance
튤립나무 is highly imbalanced (85.6%)Imbalance
후박나무 is highly imbalanced (72.4%)Imbalance
해송 is highly imbalanced (78.5%)Imbalance
개잎갈나무 is highly imbalanced (85.6%)Imbalance
녹나무 is highly imbalanced (85.6%)Imbalance
왕벚나무 has 24 (49.0%) missing valuesMissing
은행나무 has 27 (55.1%) missing valuesMissing
느티나무 has 42 (85.7%) missing valuesMissing
양버즘 has 33 (67.3%) missing valuesMissing
메타세콰이아 has 49 (100.0%) missing valuesMissing
중국단풍 has 49 (100.0%) missing valuesMissing
단풍나무 has 49 (100.0%) missing valuesMissing
벽오동 has 49 (100.0%) missing valuesMissing
대왕참나무 has 49 (100.0%) missing valuesMissing
감나무 has 49 (100.0%) missing valuesMissing
산딸나무 has 49 (100.0%) missing valuesMissing
모과나무 has 49 (100.0%) missing valuesMissing
모감주 has 49 (100.0%) missing valuesMissing
계수나무 has 49 (100.0%) missing valuesMissing
가중나무 has 49 (100.0%) missing valuesMissing
황벽나무 has 49 (100.0%) missing valuesMissing
수양버들 has 49 (100.0%) missing valuesMissing
복자귀 has 49 (100.0%) missing valuesMissing
느릅나무 has 49 (100.0%) missing valuesMissing
대추나무 has 49 (100.0%) missing valuesMissing
먼나무 has 41 (83.7%) missing valuesMissing
가시나무 has 42 (85.7%) missing valuesMissing
구실잣밤나무 has 49 (100.0%) missing valuesMissing
가이즈카향나무 has 49 (100.0%) missing valuesMissing
참식 has 49 (100.0%) missing valuesMissing
주목 has 49 (100.0%) missing valuesMissing
아왜나무 has 49 (100.0%) missing valuesMissing
도로명주소 has unique valuesUnique
메타세콰이아 is an unsupported type, check if it needs cleaning or further analysisUnsupported
중국단풍 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단풍나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
벽오동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대왕참나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
감나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
산딸나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
모과나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
모감주 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계수나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
가중나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
황벽나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수양버들 is an unsupported type, check if it needs cleaning or further analysisUnsupported
복자귀 is an unsupported type, check if it needs cleaning or further analysisUnsupported
느릅나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대추나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구실잣밤나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
가이즈카향나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
참식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주목 is an unsupported type, check if it needs cleaning or further analysisUnsupported
아왜나무 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 17:26:06.853252
Analysis finished2023-12-10 17:26:07.674446
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
부산광역시 사하구
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 사하구
2nd row부산광역시 사하구
3rd row부산광역시 사하구
4th row부산광역시 사하구
5th row부산광역시 사하구

Common Values

ValueCountFrequency (%)
부산광역시 사하구 49
100.0%

Length

2023-12-11T02:26:07.829301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:08.045881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 49
50.0%
사하구 49
50.0%

도로명주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T02:26:08.449072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.122449
Min length15

Characters and Unicode

Total characters888
Distinct characters72
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row부산광역시 사하구 강변대로
2nd row부산광역시 사하구 감천로
3rd row부산광역시 사하구 감천항로
4th row부산광역시 사하구 감천항로 291번길
5th row부산광역시 사하구 구평로
ValueCountFrequency (%)
부산광역시 49
28.5%
사하구 49
28.5%
다대로 7
 
4.1%
하신번영로 6
 
3.5%
다산로 4
 
2.3%
장평로 2
 
1.2%
을숙도대로 2
 
1.2%
신산로 2
 
1.2%
다송로 2
 
1.2%
감천항로 2
 
1.2%
Other values (47) 47
27.3%
2023-12-11T02:26:09.234828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
22.2%
하 57
 
6.4%
산 56
 
6.3%
구 51
 
5.7%
사 50
 
5.6%
부 50
 
5.6%
시 49
 
5.5%
역 49
 
5.5%
광 49
 
5.5%
로 48
 
5.4%
Other values (62) 232
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
70.5%
Space Separator 197
 
22.2%
Decimal Number 64
 
7.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 57
9.1%
산 56
8.9%
구 51
 
8.1%
사 50
 
8.0%
부 50
 
8.0%
시 49
 
7.8%
역 49
 
7.8%
광 49
 
7.8%
로 48
 
7.7%
번 28
 
4.5%
Other values (50) 139
22.2%
Decimal Number
ValueCountFrequency (%)
1 14
21.9%
2 11
17.2%
0 8
12.5%
7 8
12.5%
3 8
12.5%
9 5
 
7.8%
8 4
 
6.2%
6 3
 
4.7%
4 2
 
3.1%
5 1
 
1.6%
Space Separator
ValueCountFrequency (%)
197
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
70.5%
Common 262
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 57
9.1%
산 56
8.9%
구 51
 
8.1%
사 50
 
8.0%
부 50
 
8.0%
시 49
 
7.8%
역 49
 
7.8%
광 49
 
7.8%
로 48
 
7.7%
번 28
 
4.5%
Other values (50) 139
22.2%
Common
ValueCountFrequency (%)
197
75.2%
1 14
 
5.3%
2 11
 
4.2%
0 8
 
3.1%
7 8
 
3.1%
3 8
 
3.1%
9 5
 
1.9%
8 4
 
1.5%
6 3
 
1.1%
4 2
 
0.8%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
70.5%
ASCII 262
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
75.2%
1 14
 
5.3%
2 11
 
4.2%
0 8
 
3.1%
7 8
 
3.1%
3 8
 
3.1%
9 5
 
1.9%
8 4
 
1.5%
6 3
 
1.1%
4 2
 
0.8%
Other values (2) 2
 
0.8%
Hangul
ValueCountFrequency (%)
하 57
9.1%
산 56
8.9%
구 51
 
8.1%
사 50
 
8.0%
부 50
 
8.0%
시 49
 
7.8%
역 49
 
7.8%
광 49
 
7.8%
로 48
 
7.7%
번 28
 
4.5%
Other values (50) 139
22.2%

시점
Text

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T02:26:09.730629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.2244898
Min length3

Characters and Unicode

Total characters305
Distinct characters115
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)79.6%

Sample

1st row사상구경계
2nd row감천삼거리
3rd row화력발전소
4th row삼표산업
5th row구평동 보호수
ValueCountFrequency (%)
사상구경계 2
 
3.5%
하단오거리 2
 
3.5%
구평고개사거리 2
 
3.5%
당리 2
 
3.5%
동원아파트 2
 
3.5%
을숙도대교 2
 
3.5%
다대로교차로 2
 
3.5%
구평택지개발 1
 
1.8%
동국제강 1
 
1.8%
아파트 1
 
1.8%
Other values (40) 40
70.2%
2023-12-11T02:26:10.572045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
4.9%
아 11
 
3.6%
리 11
 
3.6%
교 10
 
3.3%
거 9
 
3.0%
트 9
 
3.0%
사 9
 
3.0%
구 8
 
2.6%
대 8
 
2.6%
파 8
 
2.6%
Other values (105) 207
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 286
93.8%
Space Separator 15
 
4.9%
Decimal Number 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 11
 
3.8%
리 11
 
3.8%
교 10
 
3.5%
거 9
 
3.1%
트 9
 
3.1%
사 9
 
3.1%
구 8
 
2.8%
대 8
 
2.8%
파 8
 
2.8%
평 7
 
2.4%
Other values (100) 196
68.5%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 286
93.8%
Common 17
 
5.6%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 11
 
3.8%
리 11
 
3.8%
교 10
 
3.5%
거 9
 
3.1%
트 9
 
3.1%
사 9
 
3.1%
구 8
 
2.8%
대 8
 
2.8%
파 8
 
2.8%
평 7
 
2.4%
Other values (100) 196
68.5%
Common
ValueCountFrequency (%)
15
88.2%
9 1
 
5.9%
2 1
 
5.9%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 286
93.8%
ASCII 19
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
78.9%
9 1
 
5.3%
S 1
 
5.3%
K 1
 
5.3%
2 1
 
5.3%
Hangul
ValueCountFrequency (%)
아 11
 
3.8%
리 11
 
3.8%
교 10
 
3.5%
거 9
 
3.1%
트 9
 
3.1%
사 9
 
3.1%
구 8
 
2.8%
대 8
 
2.8%
파 8
 
2.8%
평 7
 
2.4%
Other values (100) 196
68.5%

종점
Text

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T02:26:11.096835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.5306122
Min length3

Characters and Unicode

Total characters320
Distinct characters146
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)91.8%

Sample

1st row을숙도대교
2nd row고신대병원
3rd row구평방파제
4th row감천항 부두
5th row쌍용양회
ValueCountFrequency (%)
서구경계 2
 
3.3%
롯데캐슬아파트 2
 
3.3%
아파트 2
 
3.3%
65호광장 2
 
3.3%
해인eng 1
 
1.7%
신평동교차로 1
 
1.7%
구평 1
 
1.7%
자유아파트 1
 
1.7%
하단한신혜성아파트 1
 
1.7%
감천항로 1
 
1.7%
Other values (46) 46
76.7%
2023-12-11T02:26:11.921168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
5.6%
아 11
 
3.4%
트 11
 
3.4%
파 10
 
3.1%
구 9
 
2.8%
대 9
 
2.8%
리 7
 
2.2%
장 6
 
1.9%
신 6
 
1.9%
평 6
 
1.9%
Other values (136) 227
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
90.0%
Space Separator 18
 
5.6%
Decimal Number 9
 
2.8%
Uppercase Letter 5
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 11
 
3.8%
트 11
 
3.8%
파 10
 
3.5%
구 9
 
3.1%
대 9
 
3.1%
리 7
 
2.4%
장 6
 
2.1%
신 6
 
2.1%
평 6
 
2.1%
터 5
 
1.7%
Other values (125) 208
72.2%
Decimal Number
ValueCountFrequency (%)
6 4
44.4%
5 2
22.2%
2 1
 
11.1%
4 1
 
11.1%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
H 1
20.0%
E 1
20.0%
N 1
20.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
90.0%
Common 27
 
8.4%
Latin 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 11
 
3.8%
트 11
 
3.8%
파 10
 
3.5%
구 9
 
3.1%
대 9
 
3.1%
리 7
 
2.4%
장 6
 
2.1%
신 6
 
2.1%
평 6
 
2.1%
터 5
 
1.7%
Other values (125) 208
72.2%
Common
ValueCountFrequency (%)
18
66.7%
6 4
 
14.8%
5 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
3 1
 
3.7%
Latin
ValueCountFrequency (%)
L 1
20.0%
H 1
20.0%
E 1
20.0%
N 1
20.0%
G 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
90.0%
ASCII 32
 
10.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
56.2%
6 4
 
12.5%
5 2
 
6.2%
L 1
 
3.1%
H 1
 
3.1%
E 1
 
3.1%
N 1
 
3.1%
G 1
 
3.1%
2 1
 
3.1%
4 1
 
3.1%
Hangul
ValueCountFrequency (%)
아 11
 
3.8%
트 11
 
3.8%
파 10
 
3.5%
구 9
 
3.1%
대 9
 
3.1%
리 7
 
2.4%
장 6
 
2.1%
신 6
 
2.1%
평 6
 
2.1%
터 5
 
1.7%
Other values (125) 208
72.2%

식재거리(m)
Real number (ℝ)

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1701.6122
Minimum70
Maximum11604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:12.278513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile188
Q1362
median907
Q32436
95-th percentile5060.8
Maximum11604
Range11534
Interquartile range (IQR)2074

Descriptive statistics

Standard deviation2071.3963
Coefficient of variation (CV)1.2173139
Kurtosis10.062615
Mean1701.6122
Median Absolute Deviation (MAD)667
Skewness2.6961316
Sum83379
Variance4290682.6
MonotonicityNot monotonic
2023-12-11T02:26:12.622554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
200 2
 
4.1%
3912 1
 
2.0%
4627 1
 
2.0%
2082 1
 
2.0%
696 1
 
2.0%
760 1
 
2.0%
2040 1
 
2.0%
676 1
 
2.0%
260 1
 
2.0%
990 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
70 1
2.0%
140 1
2.0%
180 1
2.0%
200 2
4.1%
220 1
2.0%
240 1
2.0%
260 1
2.0%
307 1
2.0%
317 1
2.0%
329 1
2.0%
ValueCountFrequency (%)
11604 1
2.0%
5856 1
2.0%
5350 1
2.0%
4627 1
2.0%
4330 1
2.0%
3912 1
2.0%
3524 1
2.0%
3146 1
2.0%
3072 1
2.0%
2869 1
2.0%

왕벚나무
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing24
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean162.76
Minimum4
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:12.939236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.6
Q126
median63
Q3239
95-th percentile579.8
Maximum800
Range796
Interquartile range (IQR)213

Descriptive statistics

Standard deviation210.48679
Coefficient of variation (CV)1.2932342
Kurtosis2.841714
Mean162.76
Median Absolute Deviation (MAD)47
Skewness1.8215065
Sum4069
Variance44304.69
MonotonicityNot monotonic
2023-12-11T02:26:13.255171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
59 1
 
2.0%
294 1
 
2.0%
16 1
 
2.0%
54 1
 
2.0%
331 1
 
2.0%
92 1
 
2.0%
209 1
 
2.0%
87 1
 
2.0%
28 1
 
2.0%
26 1
 
2.0%
Other values (15) 15
30.6%
(Missing) 24
49.0%
ValueCountFrequency (%)
4 1
2.0%
5 1
2.0%
13 1
2.0%
16 1
2.0%
21 1
2.0%
25 1
2.0%
26 1
2.0%
28 1
2.0%
29 1
2.0%
36 1
2.0%
ValueCountFrequency (%)
800 1
2.0%
582 1
2.0%
571 1
2.0%
331 1
2.0%
294 1
2.0%
257 1
2.0%
239 1
2.0%
209 1
2.0%
129 1
2.0%
99 1
2.0%

은행나무
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing27
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean102.54545
Minimum2
Maximum693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:13.602600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q131
median63.5
Q3105.25
95-th percentile200.4
Maximum693
Range691
Interquartile range (IQR)74.25

Descriptive statistics

Standard deviation144.5656
Coefficient of variation (CV)1.4097709
Kurtosis14.25927
Mean102.54545
Median Absolute Deviation (MAD)39.5
Skewness3.5151784
Sum2256
Variance20899.212
MonotonicityNot monotonic
2023-12-11T02:26:13.945918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 2
 
4.1%
693 1
 
2.0%
189 1
 
2.0%
98 1
 
2.0%
14 1
 
2.0%
61 1
 
2.0%
66 1
 
2.0%
83 1
 
2.0%
113 1
 
2.0%
15 1
 
2.0%
Other values (11) 11
22.4%
(Missing) 27
55.1%
ValueCountFrequency (%)
2 2
4.1%
14 1
2.0%
15 1
2.0%
24 1
2.0%
29 1
2.0%
37 1
2.0%
38 1
2.0%
42 1
2.0%
50 1
2.0%
61 1
2.0%
ValueCountFrequency (%)
693 1
2.0%
201 1
2.0%
189 1
2.0%
188 1
2.0%
113 1
2.0%
106 1
2.0%
103 1
2.0%
102 1
2.0%
98 1
2.0%
83 1
2.0%

느티나무
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing42
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean47.857143
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:14.298534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.1
Q115.5
median35
Q371
95-th percentile116.9
Maximum125
Range123
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation46.416335
Coefficient of variation (CV)0.96989358
Kurtosis-0.482486
Mean47.857143
Median Absolute Deviation (MAD)26
Skewness0.95799489
Sum335
Variance2154.4762
MonotonicityNot monotonic
2023-12-11T02:26:14.559608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22 1
 
2.0%
125 1
 
2.0%
9 1
 
2.0%
98 1
 
2.0%
35 1
 
2.0%
44 1
 
2.0%
2 1
 
2.0%
(Missing) 42
85.7%
ValueCountFrequency (%)
2 1
2.0%
9 1
2.0%
22 1
2.0%
35 1
2.0%
44 1
2.0%
98 1
2.0%
125 1
2.0%
ValueCountFrequency (%)
125 1
2.0%
98 1
2.0%
44 1
2.0%
35 1
2.0%
22 1
2.0%
9 1
2.0%
2 1
2.0%

양버즘
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing33
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean99.625
Minimum3
Maximum465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:14.830733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.75
Q148
median65.5
Q3109
95-th percentile273
Maximum465
Range462
Interquartile range (IQR)61

Descriptive statistics

Standard deviation110.23845
Coefficient of variation (CV)1.106534
Kurtosis8.5579981
Mean99.625
Median Absolute Deviation (MAD)36.5
Skewness2.6978245
Sum1594
Variance12152.517
MonotonicityNot monotonic
2023-12-11T02:26:15.097707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
54 2
 
4.1%
8 1
 
2.0%
105 1
 
2.0%
125 1
 
2.0%
465 1
 
2.0%
100 1
 
2.0%
30 1
 
2.0%
3 1
 
2.0%
33 1
 
2.0%
209 1
 
2.0%
Other values (5) 5
 
10.2%
(Missing) 33
67.3%
ValueCountFrequency (%)
3 1
2.0%
8 1
2.0%
30 1
2.0%
33 1
2.0%
53 1
2.0%
54 2
4.1%
65 1
2.0%
66 1
2.0%
100 1
2.0%
103 1
2.0%
ValueCountFrequency (%)
465 1
2.0%
209 1
2.0%
125 1
2.0%
121 1
2.0%
105 1
2.0%
103 1
2.0%
100 1
2.0%
66 1
2.0%
65 1
2.0%
54 2
4.1%

이팝나무
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
44 
153
 
1
20
 
1
19
 
1
237
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length2

Unique

Unique5 ?
Unique (%)10.2%

Sample

1st row153
2nd row<NA>
3rd row<NA>
4th row20
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
153 1
 
2.0%
20 1
 
2.0%
19 1
 
2.0%
237 1
 
2.0%
280 1
 
2.0%

Length

2023-12-11T02:26:15.403346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:15.658385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
153 1
 
2.0%
20 1
 
2.0%
19 1
 
2.0%
237 1
 
2.0%
280 1
 
2.0%

회화나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
47 
7
 
2

Length

Max length4
Median length4
Mean length3.877551
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
95.9%
7 2
 
4.1%

Length

2023-12-11T02:26:15.947465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:16.198944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
95.9%
7 2
 
4.1%

메타세콰이아
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

칠엽수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
3
 
1

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
3 1
 
2.0%

Length

2023-12-11T02:26:16.483045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:16.738461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
3 1
 
2.0%

중국단풍
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

팽나무
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
46 
48
 
1
596
 
1
24
 
1

Length

Max length4
Median length4
Mean length3.8979592
Min length2

Unique

Unique3 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
93.9%
48 1
 
2.0%
596 1
 
2.0%
24 1
 
2.0%

Length

2023-12-11T02:26:17.013496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:17.276342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
93.9%
48 1
 
2.0%
596 1
 
2.0%
24 1
 
2.0%

튤립나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
15
 
1

Length

Max length4
Median length4
Mean length3.9591837
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
15 1
 
2.0%

Length

2023-12-11T02:26:17.562807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:17.803911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
15 1
 
2.0%

단풍나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

벽오동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

대왕참나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

감나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

산딸나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

모과나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

모감주
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

계수나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

가중나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

황벽나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

수양버들
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

복자귀
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

느릅나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

대추나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

후박나무
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
44 
44
 
1
40
 
1
14
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7755102
Min length1

Unique

Unique5 ?
Unique (%)10.2%

Sample

1st row<NA>
2nd row<NA>
3rd row44
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
44 1
 
2.0%
40 1
 
2.0%
14 1
 
2.0%
3 1
 
2.0%
54 1
 
2.0%

Length

2023-12-11T02:26:18.015972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:18.247094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
44 1
 
2.0%
40 1
 
2.0%
14 1
 
2.0%
3 1
 
2.0%
54 1
 
2.0%

먼나무
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing41
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean89.25
Minimum2
Maximum192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:18.454952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.9
Q119.75
median96
Q3133.25
95-th percentile184.3
Maximum192
Range190
Interquartile range (IQR)113.5

Descriptive statistics

Standard deviation72.403137
Coefficient of variation (CV)0.81123963
Kurtosis-1.6054222
Mean89.25
Median Absolute Deviation (MAD)74.5
Skewness0.14386368
Sum714
Variance5242.2143
MonotonicityNot monotonic
2023-12-11T02:26:18.758221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
117 1
 
2.0%
2 1
 
2.0%
21 1
 
2.0%
75 1
 
2.0%
16 1
 
2.0%
170 1
 
2.0%
121 1
 
2.0%
192 1
 
2.0%
(Missing) 41
83.7%
ValueCountFrequency (%)
2 1
2.0%
16 1
2.0%
21 1
2.0%
75 1
2.0%
117 1
2.0%
121 1
2.0%
170 1
2.0%
192 1
2.0%
ValueCountFrequency (%)
192 1
2.0%
170 1
2.0%
121 1
2.0%
117 1
2.0%
75 1
2.0%
21 1
2.0%
16 1
2.0%
2 1
2.0%

해송
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
46 
716
 
1
21
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.877551
Min length1

Unique

Unique3 ?
Unique (%)6.1%

Sample

1st row<NA>
2nd row<NA>
3rd row716
4th row<NA>
5th row21

Common Values

ValueCountFrequency (%)
<NA> 46
93.9%
716 1
 
2.0%
21 1
 
2.0%
1 1
 
2.0%

Length

2023-12-11T02:26:19.126406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:19.356431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
93.9%
716 1
 
2.0%
21 1
 
2.0%
1 1
 
2.0%

가시나무
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing42
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean85.857143
Minimum17
Maximum394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T02:26:19.560134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile17.9
Q120.5
median27
Q361
95-th percentile297.4
Maximum394
Range377
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation137.34316
Coefficient of variation (CV)1.5996707
Kurtosis6.5199336
Mean85.857143
Median Absolute Deviation (MAD)10
Skewness2.5327346
Sum601
Variance18863.143
MonotonicityNot monotonic
2023-12-11T02:26:19.796333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
394 1
 
2.0%
72 1
 
2.0%
20 1
 
2.0%
50 1
 
2.0%
27 1
 
2.0%
21 1
 
2.0%
17 1
 
2.0%
(Missing) 42
85.7%
ValueCountFrequency (%)
17 1
2.0%
20 1
2.0%
21 1
2.0%
27 1
2.0%
50 1
2.0%
72 1
2.0%
394 1
2.0%
ValueCountFrequency (%)
394 1
2.0%
72 1
2.0%
50 1
2.0%
27 1
2.0%
21 1
2.0%
20 1
2.0%
17 1
2.0%

구실잣밤나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

개잎갈나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
1
 
1

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
1 1
 
2.0%

Length

2023-12-11T02:26:20.125546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:20.356204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
1 1
 
2.0%

녹나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
8
 
1

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
8 1
 
2.0%

Length

2023-12-11T02:26:20.589442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:20.840056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
8 1
 
2.0%

가이즈카향나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

참식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

주목
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

아왜나무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2022-12-21 00:00:00
Maximum2022-12-21 00:00:00
2023-12-11T02:26:21.014030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:26:21.210020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

기관명도로명주소시점종점식재거리(m)왕벚나무은행나무느티나무양버즘이팝나무회화나무메타세콰이아칠엽수중국단풍팽나무튤립나무단풍나무벽오동대왕참나무감나무산딸나무모과나무모감주계수나무가중나무황벽나무수양버들복자귀느릅나무대추나무후박나무먼나무해송가시나무구실잣밤나무개잎갈나무녹나무가이즈카향나무참식주목아왜나무데이터기준일자
0부산광역시 사하구부산광역시 사하구 강변대로사상구경계을숙도대교3912800<NA><NA><NA>153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>394<NA><NA><NA><NA><NA><NA><NA>2022-12-21
1부산광역시 사하구부산광역시 사하구 감천로감천삼거리고신대병원217659188<NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
2부산광역시 사하구부산광역시 사하구 감천항로화력발전소구평방파제5350<NA>4222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44117716<NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
3부산광역시 사하구부산광역시 사하구 감천항로 291번길삼표산업감천항 부두200<NA><NA><NA><NA>20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
4부산광역시 사하구부산광역시 사하구 구평로구평동 보호수쌍용양회433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21<NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
5부산광역시 사하구부산광역시 사하구 낙동남로하단오거리65호광장3072129<NA>125<NA><NA>7<NA><NA><NA>48<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>72<NA><NA>8<NA><NA><NA><NA>2022-12-21
6부산광역시 사하구부산광역시 사하구 낙동남로1233번길낙동강문화관을숙도문화회관30763<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
7부산광역시 사하구부산광역시 사하구 낙동대로사상구경계대티터널5856<NA>693<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
8부산광역시 사하구부산광역시 사하구 다대로을숙도대교당리동주민센터116045821899105<NA><NA><NA><NA><NA>596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
9부산광역시 사하구부산광역시 사하구 다대로 170번길성일여고한신실리텍976<NA><NA><NA>125<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
기관명도로명주소시점종점식재거리(m)왕벚나무은행나무느티나무양버즘이팝나무회화나무메타세콰이아칠엽수중국단풍팽나무튤립나무단풍나무벽오동대왕참나무감나무산딸나무모과나무모감주계수나무가중나무황벽나무수양버들복자귀느릅나무대추나무후박나무먼나무해송가시나무구실잣밤나무개잎갈나무녹나무가이즈카향나무참식주목아왜나무데이터기준일자
39부산광역시 사하구부산광역시 사하구 장평로 299번길새마을금고 배고개점신평LH천년나무 아파트70<NA><NA>44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
40부산광역시 사하구부산광역시 사하구 제석로당리 동원아파트부신일과학고교243692<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
41부산광역시 사하구부산광역시 사하구 하신번영로하단SK뷰아파트장림포구433033183<NA>103<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
42부산광역시 사하구부산광역시 사하구 하신번영로 73번길동국제강66호광장468<NA>662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
43부산광역시 사하구부산광역시 사하구 하신번영로 107번길신평역기지창해인ENG445<NA>61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
44부산광역시 사하구부산광역시 사하구 하신번영로 127번길사하보건소중앙섬유392<NA><NA><NA>53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
45부산광역시 사하구부산광역시 사하구 하신번영로 151번길신평역9번출구신평동교차로37054<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
46부산광역시 사하구부산광역시 사하구 하신번영로 201번길하남중학교삼호빌딩1801614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21
47부산광역시 사하구부산광역시 사하구 하신중앙로하단오거리65호광장352429498<NA>54<NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>54<NA><NA>17<NA><NA><NA><NA><NA><NA><NA>2022-12-21
48부산광역시 사하구부산광역시 사하구 구평택지개발 내부도로구평택지개발 내부도로구평택지개발 내부도로2000<NA><NA><NA><NA>280<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>192<NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-12-21