Overview

Dataset statistics

Number of variables33
Number of observations1425
Missing cells14367
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory395.3 KiB
Average record size in memory284.1 B

Variable types

Numeric8
Categorical8
Text6
Unsupported10
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123189

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (86.5%)Imbalance
시설구분명 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 1425 (100.0%) missing valuesMissing
폐업일자 has 1425 (100.0%) missing valuesMissing
휴업시작일자 has 1425 (100.0%) missing valuesMissing
휴업종료일자 has 1425 (100.0%) missing valuesMissing
재개업일자 has 1425 (100.0%) missing valuesMissing
소재지전화 has 1425 (100.0%) missing valuesMissing
소재지우편번호 has 1425 (100.0%) missing valuesMissing
도로명우편번호 has 112 (7.9%) missing valuesMissing
업태구분명 has 1425 (100.0%) missing valuesMissing
해제일자 has 1425 (100.0%) missing valuesMissing
Unnamed: 32 has 1425 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지전화 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 18:28:56.562842
Analysis finished2024-04-17 18:28:57.475458
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713
Minimum1
Maximum1425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:28:57.525212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.2
Q1357
median713
Q31069
95-th percentile1353.8
Maximum1425
Range1424
Interquartile range (IQR)712

Descriptive statistics

Standard deviation411.50638
Coefficient of variation (CV)0.5771478
Kurtosis-1.2
Mean713
Median Absolute Deviation (MAD)356
Skewness0
Sum1016025
Variance169337.5
MonotonicityStrictly increasing
2024-04-18T03:28:57.627300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
937 1
 
0.1%
957 1
 
0.1%
956 1
 
0.1%
955 1
 
0.1%
954 1
 
0.1%
953 1
 
0.1%
952 1
 
0.1%
951 1
 
0.1%
950 1
 
0.1%
Other values (1415) 1415
99.3%
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 (%)
1425 1
0.1%
1424 1
0.1%
1423 1
0.1%
1422 1
0.1%
1421 1
0.1%
1420 1
0.1%
1419 1
0.1%
1418 1
0.1%
1417 1
0.1%
1416 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
민방위대피시설
1425 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민방위대피시설 1425
100.0%

Length

2024-04-18T03:28:57.726262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:58.009840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민방위대피시설 1425
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
11_46_02_P
1425 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_46_02_P
2nd row11_46_02_P
3rd row11_46_02_P
4th row11_46_02_P
5th row11_46_02_P

Common Values

ValueCountFrequency (%)
11_46_02_P 1425
100.0%

Length

2024-04-18T03:28:58.102109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:58.184074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_46_02_p 1425
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325101.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:28:58.278341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33370000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation41807.899
Coefficient of variation (CV)0.01257342
Kurtosis-1.1179897
Mean3325101.8
Median Absolute Deviation (MAD)30000
Skewness0.029359021
Sum4.73827 × 109
Variance1.7479005 × 109
MonotonicityNot monotonic
2024-04-18T03:28:58.397962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3280000 142
10.0%
3370000 132
9.3%
3380000 128
9.0%
3300000 126
8.8%
3330000 118
8.3%
3310000 117
8.2%
3320000 99
 
6.9%
3390000 94
 
6.6%
3290000 93
 
6.5%
3350000 88
 
6.2%
Other values (6) 288
20.2%
ValueCountFrequency (%)
3250000 53
 
3.7%
3260000 74
5.2%
3270000 30
 
2.1%
3280000 142
10.0%
3290000 93
6.5%
3300000 126
8.8%
3310000 117
8.2%
3320000 99
6.9%
3330000 118
8.3%
3340000 84
5.9%
ValueCountFrequency (%)
3400000 21
 
1.5%
3390000 94
6.6%
3380000 128
9.0%
3370000 132
9.3%
3360000 26
 
1.8%
3350000 88
6.2%
3340000 84
5.9%
3330000 118
8.3%
3320000 99
6.9%
3310000 117
8.2%

관리번호
Text

UNIQUE 

Distinct1425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-04-18T03:28:58.593737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters25650
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1425 ?
Unique (%)100.0%

Sample

1st row3380000-S200000005
2nd row3280000-S201900001
3rd row3390000-S201900001
4th row3390000-S201900002
5th row3390000-S201900003
ValueCountFrequency (%)
3380000-s200000005 1
 
0.1%
3280000-s199800002 1
 
0.1%
3310000-s200000002 1
 
0.1%
3310000-s199300020 1
 
0.1%
3310000-s199600008 1
 
0.1%
3310000-s201100002 1
 
0.1%
3310000-s197600001 1
 
0.1%
3310000-s199000004 1
 
0.1%
3310000-s199300021 1
 
0.1%
3310000-s199300019 1
 
0.1%
Other values (1415) 1415
99.3%
2024-04-18T03:28:58.896012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12052
47.0%
3 2924
 
11.4%
9 1967
 
7.7%
1 1894
 
7.4%
2 1502
 
5.9%
- 1425
 
5.6%
S 1425
 
5.6%
8 693
 
2.7%
5 460
 
1.8%
6 440
 
1.7%
Other values (2) 868
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22800
88.9%
Dash Punctuation 1425
 
5.6%
Uppercase Letter 1425
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12052
52.9%
3 2924
 
12.8%
9 1967
 
8.6%
1 1894
 
8.3%
2 1502
 
6.6%
8 693
 
3.0%
5 460
 
2.0%
6 440
 
1.9%
4 436
 
1.9%
7 432
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1425
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24225
94.4%
Latin 1425
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12052
49.8%
3 2924
 
12.1%
9 1967
 
8.1%
1 1894
 
7.8%
2 1502
 
6.2%
- 1425
 
5.9%
8 693
 
2.9%
5 460
 
1.9%
6 440
 
1.8%
4 436
 
1.8%
Latin
ValueCountFrequency (%)
S 1425
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12052
47.0%
3 2924
 
11.4%
9 1967
 
7.7%
1 1894
 
7.4%
2 1502
 
5.9%
- 1425
 
5.6%
S 1425
 
5.6%
8 693
 
2.7%
5 460
 
1.8%
6 440
 
1.7%
Other values (2) 868
 
3.4%

인허가일자
Real number (ℝ)

Distinct680
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19984599
Minimum19671204
Maximum20201118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:28:59.020468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19671204
5-th percentile19840630
Q119930613
median19971112
Q320031011
95-th percentile20160760
Maximum20201118
Range529914
Interquartile range (IQR)100398

Descriptive statistics

Standard deviation92532.23
Coefficient of variation (CV)0.0046301769
Kurtosis0.066634066
Mean19984599
Median Absolute Deviation (MAD)49289
Skewness0.21387549
Sum2.8478054 × 1010
Variance8.5622136 × 109
MonotonicityNot monotonic
2024-04-18T03:28:59.137414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020121 35
 
2.5%
19990802 32
 
2.2%
19880101 26
 
1.8%
19970101 26
 
1.8%
19940101 25
 
1.8%
19930315 24
 
1.7%
19950301 21
 
1.5%
20060220 14
 
1.0%
20000101 12
 
0.8%
20020117 12
 
0.8%
Other values (670) 1198
84.1%
ValueCountFrequency (%)
19671204 1
0.1%
19700610 1
0.1%
19721230 1
0.1%
19731109 1
0.1%
19750301 1
0.1%
19760706 1
0.1%
19761230 2
0.1%
19771230 1
0.1%
19780102 1
0.1%
19780630 1
0.1%
ValueCountFrequency (%)
20201118 2
0.1%
20201106 2
0.1%
20201021 2
0.1%
20201014 2
0.1%
20200922 1
 
0.1%
20200828 3
0.2%
20200421 2
0.1%
20200225 1
 
0.1%
20191118 2
0.1%
20191028 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
1
1425 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1425
100.0%

Length

2024-04-18T03:28:59.237009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:59.307878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1425
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
영업/정상
1425 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 1425
100.0%

Length

2024-04-18T03:28:59.384867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:59.455950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1425
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
18
1425 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 1425
100.0%

Length

2024-04-18T03:28:59.529927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:59.600233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 1425
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
사용중
1425 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 1425
100.0%

Length

2024-04-18T03:28:59.686200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:28:59.759967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 1425
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

소재지면적
Real number (ℝ)

Distinct979
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3084.4098
Minimum33
Maximum113334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:28:59.839485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile168.6
Q1429
median1205
Q33976
95-th percentile9665.8
Maximum113334
Range113301
Interquartile range (IQR)3547

Descriptive statistics

Standard deviation6280.1483
Coefficient of variation (CV)2.036094
Kurtosis128.55351
Mean3084.4098
Median Absolute Deviation (MAD)941
Skewness9.5676829
Sum4395284
Variance39440263
MonotonicityNot monotonic
2024-04-18T03:28:59.940314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 49
 
3.4%
264.0 17
 
1.2%
660.0 16
 
1.1%
462.0 13
 
0.9%
396.0 13
 
0.9%
9900.0 12
 
0.8%
165.0 11
 
0.8%
495.0 11
 
0.8%
198.0 10
 
0.7%
627.0 10
 
0.7%
Other values (969) 1263
88.6%
ValueCountFrequency (%)
33.0 1
 
0.1%
43.0 1
 
0.1%
62.0 1
 
0.1%
65.0 1
 
0.1%
66.0 4
0.3%
70.0 1
 
0.1%
73.0 1
 
0.1%
83.0 2
0.1%
84.0 1
 
0.1%
85.0 1
 
0.1%
ValueCountFrequency (%)
113334.0 1
0.1%
85594.0 1
0.1%
81489.0 1
0.1%
75770.0 1
0.1%
71205.0 1
0.1%
47741.0 1
0.1%
42215.0 1
0.1%
29277.0 1
0.1%
28624.0 1
0.1%
25874.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

소재지전체주소
Text

Distinct1263
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-04-18T03:29:00.227264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length21.622456
Min length16

Characters and Unicode

Total characters30812
Distinct characters200
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1209 ?
Unique (%)84.8%

Sample

1st row부산광역시 수영구 망미동 877번지 13호
2nd row부산광역시 영도구 청학동 536번지
3rd row부산광역시 사상구 괘법동 522번지 3호
4th row부산광역시 사상구 괘법동 499번지 3호
5th row부산광역시 사상구 감전동 961번지
ValueCountFrequency (%)
부산광역시 1425
 
21.2%
1호 275
 
4.1%
영도구 142
 
2.1%
연제구 132
 
2.0%
수영구 128
 
1.9%
동래구 126
 
1.9%
해운대구 118
 
1.8%
남구 117
 
1.7%
북구 99
 
1.5%
연산동 96
 
1.4%
Other values (1110) 4068
60.5%
2024-04-18T03:29:00.629000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5301
17.2%
동 1675
 
5.4%
산 1637
 
5.3%
부 1588
 
5.2%
광 1483
 
4.8%
구 1447
 
4.7%
역 1427
 
4.6%
지 1425
 
4.6%
시 1425
 
4.6%
번 1412
 
4.6%
Other values (190) 11992
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19726
64.0%
Decimal Number 5764
 
18.7%
Space Separator 5301
 
17.2%
Uppercase Letter 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%
Decimal Number
ValueCountFrequency (%)
1 1355
23.5%
2 790
13.7%
3 627
10.9%
4 528
 
9.2%
5 483
 
8.4%
8 443
 
7.7%
6 432
 
7.5%
7 407
 
7.1%
0 370
 
6.4%
9 329
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
V 1
14.3%
I 1
14.3%
E 1
14.3%
H 1
14.3%
W 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
e 2
33.3%
i 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
5301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19726
64.0%
Common 11073
35.9%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%
Common
ValueCountFrequency (%)
5301
47.9%
1 1355
 
12.2%
2 790
 
7.1%
3 627
 
5.7%
4 528
 
4.8%
5 483
 
4.4%
8 443
 
4.0%
6 432
 
3.9%
7 407
 
3.7%
0 370
 
3.3%
Other values (4) 337
 
3.0%
Latin
ValueCountFrequency (%)
l 2
15.4%
e 2
15.4%
K 1
7.7%
S 1
7.7%
V 1
7.7%
I 1
7.7%
E 1
7.7%
H 1
7.7%
i 1
7.7%
s 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19726
64.0%
ASCII 11086
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5301
47.8%
1 1355
 
12.2%
2 790
 
7.1%
3 627
 
5.7%
4 528
 
4.8%
5 483
 
4.4%
8 443
 
4.0%
6 432
 
3.9%
7 407
 
3.7%
0 370
 
3.3%
Other values (15) 350
 
3.2%
Hangul
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%

도로명전체주소
Text

Distinct1300
Distinct (%)91.3%
Missing1
Missing (%)0.1%
Memory size11.3 KiB
2024-04-18T03:29:00.912841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length30.591292
Min length15

Characters and Unicode

Total characters43562
Distinct characters435
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

Unique1257 ?
Unique (%)88.3%

Sample

1st row부산광역시 수영구 망미배산로 86 (망미동)
2nd row부산광역시 영도구 태종로 260 (청학동, 영도신도브래뉴)
3rd row부산광역시 사상구 광장로21번길 66 (괘법동, 괘법엘에이치아파트)
4th row부산광역시 사상구 사상로148번길 39 (괘법동)
5th row부산광역시 사상구 백양대로 539 (감전동, 감전 엘에이치아파트)
ValueCountFrequency (%)
부산광역시 1424
 
17.5%
영도구 142
 
1.7%
연제구 132
 
1.6%
수영구 128
 
1.6%
동래구 126
 
1.5%
해운대구 118
 
1.5%
남구 116
 
1.4%
북구 99
 
1.2%
연산동 95
 
1.2%
사상구 94
 
1.2%
Other values (2227) 5659
69.6%
2024-04-18T03:29:01.338215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6709
 
15.4%
동 1873
 
4.3%
산 1760
 
4.0%
부 1669
 
3.8%
광 1589
 
3.6%
시 1533
 
3.5%
구 1513
 
3.5%
역 1486
 
3.4%
( 1407
 
3.2%
) 1407
 
3.2%
Other values (425) 22616
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27894
64.0%
Space Separator 6709
 
15.4%
Decimal Number 5046
 
11.6%
Open Punctuation 1407
 
3.2%
Close Punctuation 1407
 
3.2%
Other Punctuation 876
 
2.0%
Dash Punctuation 173
 
0.4%
Uppercase Letter 42
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1873
 
6.7%
산 1760
 
6.3%
부 1669
 
6.0%
광 1589
 
5.7%
시 1533
 
5.5%
구 1513
 
5.4%
역 1486
 
5.3%
로 1405
 
5.0%
대 762
 
2.7%
길 507
 
1.8%
Other values (391) 13797
49.5%
Uppercase Letter
ValueCountFrequency (%)
K 9
21.4%
S 6
14.3%
I 4
9.5%
L 3
 
7.1%
V 3
 
7.1%
E 3
 
7.1%
W 3
 
7.1%
T 3
 
7.1%
G 3
 
7.1%
C 2
 
4.8%
Other values (2) 3
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1103
21.9%
2 724
14.3%
3 557
11.0%
0 507
10.0%
4 423
 
8.4%
5 403
 
8.0%
7 364
 
7.2%
6 359
 
7.1%
9 329
 
6.5%
8 277
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 873
99.7%
. 1
 
0.1%
& 1
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
l 2
25.0%
i 1
 
12.5%
s 1
 
12.5%
Space Separator
ValueCountFrequency (%)
6709
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27894
64.0%
Common 15618
35.9%
Latin 50
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1873
 
6.7%
산 1760
 
6.3%
부 1669
 
6.0%
광 1589
 
5.7%
시 1533
 
5.5%
구 1513
 
5.4%
역 1486
 
5.3%
로 1405
 
5.0%
대 762
 
2.7%
길 507
 
1.8%
Other values (391) 13797
49.5%
Common
ValueCountFrequency (%)
6709
43.0%
( 1407
 
9.0%
) 1407
 
9.0%
1 1103
 
7.1%
, 873
 
5.6%
2 724
 
4.6%
3 557
 
3.6%
0 507
 
3.2%
4 423
 
2.7%
5 403
 
2.6%
Other values (8) 1505
 
9.6%
Latin
ValueCountFrequency (%)
K 9
18.0%
S 6
12.0%
I 4
8.0%
e 4
8.0%
L 3
 
6.0%
V 3
 
6.0%
E 3
 
6.0%
W 3
 
6.0%
T 3
 
6.0%
G 3
 
6.0%
Other values (6) 9
18.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27894
64.0%
ASCII 15667
36.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6709
42.8%
( 1407
 
9.0%
) 1407
 
9.0%
1 1103
 
7.0%
, 873
 
5.6%
2 724
 
4.6%
3 557
 
3.6%
0 507
 
3.2%
4 423
 
2.7%
5 403
 
2.6%
Other values (23) 1554
 
9.9%
Hangul
ValueCountFrequency (%)
동 1873
 
6.7%
산 1760
 
6.3%
부 1669
 
6.0%
광 1589
 
5.7%
시 1533
 
5.5%
구 1513
 
5.4%
역 1486
 
5.3%
로 1405
 
5.0%
대 762
 
2.7%
길 507
 
1.8%
Other values (391) 13797
49.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct857
Distinct (%)65.3%
Missing112
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean175908
Minimum46009
Maximum618814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:29:01.459291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46009
5-th percentile46302
Q147705
median48414
Q349446
95-th percentile613823.4
Maximum618814
Range572805
Interquartile range (IQR)1741

Descriptive statistics

Standard deviation235714.71
Coefficient of variation (CV)1.3399886
Kurtosis-0.30894541
Mean175908
Median Absolute Deviation (MAD)1005
Skewness1.3003347
Sum2.309672 × 108
Variance5.5561426 × 1010
MonotonicityNot monotonic
2024-04-18T03:29:01.570596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
606762 26
 
1.8%
48305 21
 
1.5%
611752 14
 
1.0%
611751 13
 
0.9%
49108 9
 
0.6%
613756 9
 
0.6%
613101 8
 
0.6%
48482 6
 
0.4%
48516 6
 
0.4%
606818 5
 
0.4%
Other values (847) 1196
83.9%
(Missing) 112
 
7.9%
ValueCountFrequency (%)
46009 1
0.1%
46010 1
0.1%
46011 1
0.1%
46012 1
0.1%
46014 1
0.1%
46015 1
0.1%
46016 1
0.1%
46023 1
0.1%
46043 1
0.1%
46051 1
0.1%
ValueCountFrequency (%)
618814 1
 
0.1%
618807 1
 
0.1%
618708 1
 
0.1%
618230 1
 
0.1%
618142 1
 
0.1%
616842 1
 
0.1%
616834 1
 
0.1%
616833 1
 
0.1%
616827 3
0.2%
616821 1
 
0.1%

사업장명
Text

Distinct1377
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-04-18T03:29:01.767098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length8.0708772
Min length2

Characters and Unicode

Total characters11501
Distinct characters451
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

Unique1346 ?
Unique (%)94.5%

Sample

1st row양지중앙교회
2nd row신도브래뉴아파트
3rd row괘법LH아파트
4th row은하하우스
5th row감전LH아파트
ValueCountFrequency (%)
지하주차장 40
 
2.1%
지하철 30
 
1.6%
주차장 27
 
1.4%
삼익비치타운아파트 22
 
1.2%
지하 15
 
0.8%
행정복지센터 14
 
0.7%
망미주공 13
 
0.7%
현대아파트 12
 
0.6%
아파트 12
 
0.6%
부산은행 11
 
0.6%
Other values (1456) 1714
89.7%
2024-04-18T03:29:02.056452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 667
 
5.8%
파 641
 
5.6%
트 634
 
5.5%
485
 
4.2%
동 482
 
4.2%
지 331
 
2.9%
1 284
 
2.5%
하 189
 
1.6%
대 188
 
1.6%
차 183
 
1.6%
Other values (441) 7417
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10037
87.3%
Decimal Number 849
 
7.4%
Space Separator 485
 
4.2%
Uppercase Letter 83
 
0.7%
Other Punctuation 25
 
0.2%
Lowercase Letter 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
Uppercase Letter
ValueCountFrequency (%)
K 20
24.1%
S 15
18.1%
G 10
12.0%
L 8
 
9.6%
B 6
 
7.2%
T 5
 
6.0%
I 4
 
4.8%
C 4
 
4.8%
E 3
 
3.6%
H 3
 
3.6%
Other values (3) 5
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 284
33.5%
2 165
19.4%
0 152
17.9%
3 97
 
11.4%
4 66
 
7.8%
5 33
 
3.9%
6 23
 
2.7%
9 12
 
1.4%
8 9
 
1.1%
7 8
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
k 3
37.5%
t 2
25.0%
e 2
25.0%
s 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 18
72.0%
· 6
 
24.0%
& 1
 
4.0%
Space Separator
ValueCountFrequency (%)
485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10037
87.3%
Common 1373
 
11.9%
Latin 91
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
Common
ValueCountFrequency (%)
485
35.3%
1 284
20.7%
2 165
 
12.0%
0 152
 
11.1%
3 97
 
7.1%
4 66
 
4.8%
5 33
 
2.4%
6 23
 
1.7%
, 18
 
1.3%
9 12
 
0.9%
Other values (7) 38
 
2.8%
Latin
ValueCountFrequency (%)
K 20
22.0%
S 15
16.5%
G 10
11.0%
L 8
 
8.8%
B 6
 
6.6%
T 5
 
5.5%
I 4
 
4.4%
C 4
 
4.4%
k 3
 
3.3%
E 3
 
3.3%
Other values (7) 13
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10037
87.3%
ASCII 1458
 
12.7%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
ASCII
ValueCountFrequency (%)
485
33.3%
1 284
19.5%
2 165
 
11.3%
0 152
 
10.4%
3 97
 
6.7%
4 66
 
4.5%
5 33
 
2.3%
6 23
 
1.6%
K 20
 
1.4%
, 18
 
1.2%
Other values (23) 115
 
7.9%
None
ValueCountFrequency (%)
· 6
100.0%

최종수정시점
Real number (ℝ)

Distinct1423
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0195982 × 1013
Minimum2.0170411 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:29:02.167208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0170411 × 1013
5-th percentile2.0190412 × 1013
Q12.0191029 × 1013
median2.0191211 × 1013
Q32.0201119 × 1013
95-th percentile2.0210105 × 1013
Maximum2.0210129 × 1013
Range3.971801 × 1010
Interquartile range (IQR)1.0090108 × 1010

Descriptive statistics

Standard deviation6.2829616 × 109
Coefficient of variation (CV)0.00031109959
Kurtosis-0.32510395
Mean2.0195982 × 1013
Median Absolute Deviation (MAD)8.091062 × 108
Skewness0.38918713
Sum2.8779274 × 1016
Variance3.9475606 × 1019
MonotonicityNot monotonic
2024-04-18T03:29:02.279853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191113162805 2
 
0.1%
20191206155211 2
 
0.1%
20210104171720 1
 
0.1%
20190603150738 1
 
0.1%
20210104171838 1
 
0.1%
20200710171056 1
 
0.1%
20200908090603 1
 
0.1%
20190603113814 1
 
0.1%
20190402094934 1
 
0.1%
20210104171906 1
 
0.1%
Other values (1413) 1413
99.2%
ValueCountFrequency (%)
20170411170259 1
0.1%
20180517111733 1
0.1%
20180528112130 1
0.1%
20180716142101 1
0.1%
20180716142502 1
0.1%
20180716152311 1
0.1%
20180716155921 1
0.1%
20180717093636 1
0.1%
20180717093729 1
0.1%
20180717100215 1
0.1%
ValueCountFrequency (%)
20210129180014 1
0.1%
20210129173104 1
0.1%
20210129172842 1
0.1%
20210129172801 1
0.1%
20210125144340 1
0.1%
20210121165551 1
0.1%
20210119131406 1
0.1%
20210119130450 1
0.1%
20210119125933 1
0.1%
20210115160047 1
0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
U
1398 
I
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 1398
98.1%
I 27
 
1.9%

Length

2024-04-18T03:29:02.382884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:29:02.460739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 1398
98.1%
i 27
 
1.9%

데이터갱신일자
Date

Distinct139
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-18T03:29:02.536701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:29:02.638439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

좌표정보(x)
Real number (ℝ)

Distinct1256
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean388038.36
Minimum366942.83
Maximum403382.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:29:02.739580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366942.83
5-th percentile380165.14
Q1384453.6
median388577.66
Q3391481.32
95-th percentile397226.63
Maximum403382.32
Range36439.491
Interquartile range (IQR)7027.7255

Descriptive statistics

Standard deviation5092.3962
Coefficient of variation (CV)0.013123435
Kurtosis0.72552075
Mean388038.36
Median Absolute Deviation (MAD)3449.3975
Skewness-0.21898461
Sum5.5217859 × 108
Variance25932499
MonotonicityNot monotonic
2024-04-18T03:29:02.841872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388577.664510255 26
 
1.8%
392799.184299776 20
 
1.4%
392213.196659025 19
 
1.3%
391504.565166144 14
 
1.0%
392032.567082461 9
 
0.6%
392474.578116018 6
 
0.4%
388757.900608134 6
 
0.4%
388014.370428964 5
 
0.4%
391328.065336967 5
 
0.4%
387618.822819234 5
 
0.4%
Other values (1246) 1308
91.8%
ValueCountFrequency (%)
366942.832752271 1
0.1%
367397.014357092 1
0.1%
367753.838455399 1
0.1%
369169.330139889 2
0.1%
371070.269343027 2
0.1%
371094.285732956 1
0.1%
371290.690707476 1
0.1%
373016.981172454 2
0.1%
373194.989526646 1
0.1%
373264.423690818 1
0.1%
ValueCountFrequency (%)
403382.323810557 1
0.1%
402395.207126 1
0.1%
402053.277487772 1
0.1%
401936.99129 1
0.1%
401785.335134213 1
0.1%
401459.744803988 1
0.1%
401329.016921291 1
0.1%
401214.764542904 1
0.1%
401196.043572806 1
0.1%
401189.985835 1
0.1%

좌표정보(y)
Real number (ℝ)

Distinct1257
Distinct (%)88.3%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean186315.24
Minimum173958.92
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2024-04-18T03:29:02.943150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173958.92
5-th percentile177668.15
Q1181168.94
median186764.38
Q3190339.38
95-th percentile195725.58
Maximum206343.36
Range32384.435
Interquartile range (IQR)9170.4424

Descriptive statistics

Standard deviation5769.6451
Coefficient of variation (CV)0.030967113
Kurtosis-0.27989522
Mean186315.24
Median Absolute Deviation (MAD)4229.9591
Skewness0.19015862
Sum2.6512659 × 108
Variance33288804
MonotonicityNot monotonic
2024-04-18T03:29:03.042441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178279.998453376 26
 
1.8%
184697.475665759 20
 
1.4%
188726.670895527 19
 
1.3%
189919.185343166 14
 
1.0%
186765.892414642 9
 
0.6%
183052.21115244 6
 
0.4%
189315.654411623 6
 
0.4%
191847.114440687 5
 
0.4%
186273.478853367 5
 
0.4%
176595.034934652 5
 
0.4%
Other values (1247) 1308
91.8%
ValueCountFrequency (%)
173958.923870305 1
0.1%
174158.704112303 1
0.1%
174173.508031304 1
0.1%
174214.851510997 1
0.1%
174307.148168245 1
0.1%
174835.290190736 1
0.1%
174914.414620229 1
0.1%
175314.286676535 1
0.1%
175471.635227692 1
0.1%
175506.826710111 1
0.1%
ValueCountFrequency (%)
206343.359052 1
0.1%
206233.738108 1
0.1%
205890.701956 1
0.1%
205608.605006 1
0.1%
205517.174415 1
0.1%
205448.916034 1
0.1%
205039.277946 1
0.1%
204882.482287 1
0.1%
201921.509048528 1
0.1%
201677.693320986 1
0.1%

비상시설위치
Text

Distinct1263
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-04-18T03:29:03.318011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length21.622456
Min length16

Characters and Unicode

Total characters30812
Distinct characters200
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1209 ?
Unique (%)84.8%

Sample

1st row부산광역시 수영구 망미동 877번지 13호
2nd row부산광역시 영도구 청학동 536번지
3rd row부산광역시 사상구 괘법동 522번지 3호
4th row부산광역시 사상구 괘법동 499번지 3호
5th row부산광역시 사상구 감전동 961번지
ValueCountFrequency (%)
부산광역시 1425
 
21.2%
1호 275
 
4.1%
영도구 142
 
2.1%
연제구 132
 
2.0%
수영구 128
 
1.9%
동래구 126
 
1.9%
해운대구 118
 
1.8%
남구 117
 
1.7%
북구 99
 
1.5%
연산동 96
 
1.4%
Other values (1110) 4068
60.5%
2024-04-18T03:29:03.703024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5301
17.2%
동 1675
 
5.4%
산 1637
 
5.3%
부 1588
 
5.2%
광 1483
 
4.8%
구 1447
 
4.7%
역 1427
 
4.6%
지 1425
 
4.6%
시 1425
 
4.6%
번 1412
 
4.6%
Other values (190) 11992
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19726
64.0%
Decimal Number 5764
 
18.7%
Space Separator 5301
 
17.2%
Uppercase Letter 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%
Decimal Number
ValueCountFrequency (%)
1 1355
23.5%
2 790
13.7%
3 627
10.9%
4 528
 
9.2%
5 483
 
8.4%
8 443
 
7.7%
6 432
 
7.5%
7 407
 
7.1%
0 370
 
6.4%
9 329
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
V 1
14.3%
I 1
14.3%
E 1
14.3%
H 1
14.3%
W 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
e 2
33.3%
i 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
5301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19726
64.0%
Common 11073
35.9%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%
Common
ValueCountFrequency (%)
5301
47.9%
1 1355
 
12.2%
2 790
 
7.1%
3 627
 
5.7%
4 528
 
4.8%
5 483
 
4.4%
8 443
 
4.0%
6 432
 
3.9%
7 407
 
3.7%
0 370
 
3.3%
Other values (4) 337
 
3.0%
Latin
ValueCountFrequency (%)
l 2
15.4%
e 2
15.4%
K 1
7.7%
S 1
7.7%
V 1
7.7%
I 1
7.7%
E 1
7.7%
H 1
7.7%
i 1
7.7%
s 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19726
64.0%
ASCII 11086
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5301
47.8%
1 1355
 
12.2%
2 790
 
7.1%
3 627
 
5.7%
4 528
 
4.8%
5 483
 
4.4%
8 443
 
4.0%
6 432
 
3.9%
7 407
 
3.7%
0 370
 
3.3%
Other values (15) 350
 
3.2%
Hangul
ValueCountFrequency (%)
동 1675
 
8.5%
산 1637
 
8.3%
부 1588
 
8.1%
광 1483
 
7.5%
구 1447
 
7.3%
역 1427
 
7.2%
지 1425
 
7.2%
시 1425
 
7.2%
번 1412
 
7.2%
호 993
 
5.0%
Other values (165) 5214
26.4%

시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
공공시설
1424 
정부지원시설
 
1

Length

Max length6
Median length4
Mean length4.0014035
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 1424
99.9%
정부지원시설 1
 
0.1%

Length

2024-04-18T03:29:03.819583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:29:04.112594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 1424
99.9%
정부지원시설 1
 
0.1%

시설명건물명
Text

Distinct1377
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2024-04-18T03:29:04.272105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length8.0708772
Min length2

Characters and Unicode

Total characters11501
Distinct characters451
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

Unique1346 ?
Unique (%)94.5%

Sample

1st row양지중앙교회
2nd row신도브래뉴아파트
3rd row괘법LH아파트
4th row은하하우스
5th row감전LH아파트
ValueCountFrequency (%)
지하주차장 40
 
2.1%
지하철 30
 
1.6%
주차장 27
 
1.4%
삼익비치타운아파트 22
 
1.2%
지하 15
 
0.8%
행정복지센터 14
 
0.7%
망미주공 13
 
0.7%
현대아파트 12
 
0.6%
아파트 12
 
0.6%
부산은행 11
 
0.6%
Other values (1456) 1714
89.7%
2024-04-18T03:29:04.594188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 667
 
5.8%
파 641
 
5.6%
트 634
 
5.5%
485
 
4.2%
동 482
 
4.2%
지 331
 
2.9%
1 284
 
2.5%
하 189
 
1.6%
대 188
 
1.6%
차 183
 
1.6%
Other values (441) 7417
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10037
87.3%
Decimal Number 849
 
7.4%
Space Separator 485
 
4.2%
Uppercase Letter 83
 
0.7%
Other Punctuation 25
 
0.2%
Lowercase Letter 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
Uppercase Letter
ValueCountFrequency (%)
K 20
24.1%
S 15
18.1%
G 10
12.0%
L 8
 
9.6%
B 6
 
7.2%
T 5
 
6.0%
I 4
 
4.8%
C 4
 
4.8%
E 3
 
3.6%
H 3
 
3.6%
Other values (3) 5
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 284
33.5%
2 165
19.4%
0 152
17.9%
3 97
 
11.4%
4 66
 
7.8%
5 33
 
3.9%
6 23
 
2.7%
9 12
 
1.4%
8 9
 
1.1%
7 8
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
k 3
37.5%
t 2
25.0%
e 2
25.0%
s 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 18
72.0%
· 6
 
24.0%
& 1
 
4.0%
Space Separator
ValueCountFrequency (%)
485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10037
87.3%
Common 1373
 
11.9%
Latin 91
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
Common
ValueCountFrequency (%)
485
35.3%
1 284
20.7%
2 165
 
12.0%
0 152
 
11.1%
3 97
 
7.1%
4 66
 
4.8%
5 33
 
2.4%
6 23
 
1.7%
, 18
 
1.3%
9 12
 
0.9%
Other values (7) 38
 
2.8%
Latin
ValueCountFrequency (%)
K 20
22.0%
S 15
16.5%
G 10
11.0%
L 8
 
8.8%
B 6
 
6.6%
T 5
 
5.5%
I 4
 
4.4%
C 4
 
4.4%
k 3
 
3.3%
E 3
 
3.3%
Other values (7) 13
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10037
87.3%
ASCII 1458
 
12.7%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 667
 
6.6%
파 641
 
6.4%
트 634
 
6.3%
동 482
 
4.8%
지 331
 
3.3%
하 189
 
1.9%
대 188
 
1.9%
차 183
 
1.8%
주 183
 
1.8%
산 146
 
1.5%
Other values (407) 6393
63.7%
ASCII
ValueCountFrequency (%)
485
33.3%
1 284
19.5%
2 165
 
11.3%
0 152
 
10.4%
3 97
 
6.7%
4 66
 
4.5%
5 33
 
2.3%
6 23
 
1.6%
K 20
 
1.4%
, 18
 
1.2%
Other values (23) 115
 
7.9%
None
ValueCountFrequency (%)
· 6
100.0%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1425
Missing (%)100.0%
Memory size12.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)비상시설위치시설구분명시설명건물명해제일자Unnamed: 32
01민방위대피시설11_46_02_P33800003380000-S20000000520000509<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>348.0<NA>부산광역시 수영구 망미동 877번지 13호부산광역시 수영구 망미배산로 86 (망미동)48200양지중앙교회20190129104915I2019-01-31 02:21:05.0<NA>391172.671138188221.060833부산광역시 수영구 망미동 877번지 13호공공시설양지중앙교회<NA><NA>
12민방위대피시설11_46_02_P32800003280000-S20190000120190208<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2937.0<NA>부산광역시 영도구 청학동 536번지부산광역시 영도구 태종로 260 (청학동, 영도신도브래뉴)49021신도브래뉴아파트20201228150412U2020-12-30 02:40:00.0<NA>387392.208557179480.522545부산광역시 영도구 청학동 536번지공공시설신도브래뉴아파트<NA><NA>
23민방위대피시설11_46_02_P33900003390000-S20190000120190226<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4282.0<NA>부산광역시 사상구 괘법동 522번지 3호부산광역시 사상구 광장로21번길 66 (괘법동, 괘법엘에이치아파트)46962괘법LH아파트20190710163058U2019-07-12 02:40:00.0<NA>380335.442783187041.949738부산광역시 사상구 괘법동 522번지 3호공공시설괘법LH아파트<NA><NA>
34민방위대피시설11_46_02_P33900003390000-S20190000220190226<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1683.0<NA>부산광역시 사상구 괘법동 499번지 3호부산광역시 사상구 사상로148번길 39 (괘법동)46975은하하우스20190710163214U2019-07-12 02:40:00.0<NA>381183.334073186343.955931부산광역시 사상구 괘법동 499번지 3호공공시설은하하우스<NA><NA>
45민방위대피시설11_46_02_P33900003390000-S20190000320190226<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2463.0<NA>부산광역시 사상구 감전동 961번지부산광역시 사상구 백양대로 539 (감전동, 감전 엘에이치아파트)46992감전LH아파트20190710164823U2019-07-12 02:40:00.0<NA>381587.130755185925.139456부산광역시 사상구 감전동 961번지공공시설감전LH아파트<NA><NA>
56민방위대피시설11_46_02_P33300003330000-S20190000120190426<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1485.0<NA>부산광역시 해운대구 재송동 1223번지부산광역시 해운대구 해운대로 253 (재송동, 해운대더샵센텀누리)48057해운대더샵센텀누리아파트20191118102928U2019-11-20 02:40:00.0<NA>393832.66996188601.233669부산광역시 해운대구 재송동 1223번지공공시설해운대더샵센텀누리아파트<NA><NA>
67민방위대피시설11_46_02_P33300003330000-S20190000220190426<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1869.0<NA>부산광역시 해운대구 재송동 1324번지부산광역시 해운대구 해운대로38번길 60 (재송동, 센텀협성르네상스타운)48047센텀협성르네상스아파트20191118102854U2019-11-20 02:40:00.0<NA>392811.177134190160.114643부산광역시 해운대구 재송동 1324번지공공시설센텀협성르네상스아파트<NA><NA>
78민방위대피시설11_46_02_P33300003330000-S20190000320190426<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3065.0<NA>부산광역시 해운대구 재송동 1302번지부산광역시 해운대구 수영강변대로 382 (재송동, 센텀피오레1차아파트)48047센텀피오레1차아파트20191118103005U2019-11-20 02:40:00.0<NA>392674.059779190206.026676부산광역시 해운대구 재송동 1302번지공공시설센텀피오레1차아파트<NA><NA>
89민방위대피시설11_46_02_P33200003320000-S20190000120190729<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4471.0<NA>부산광역시 북구 구포동 972번지 54호부산광역시 북구 낙동북로 692 (구포동, 해피투모로우)46635해피투모로우아파트20200708133820U2020-07-10 02:40:00.0<NA>382018.829821190784.619433부산광역시 북구 구포동 972번지 54호공공시설해피투모로우아파트<NA><NA>
910민방위대피시설11_46_02_P33200003320000-S20190000220190729<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4657.0<NA>부산광역시 북구 구포동 1293번지부산광역시 북구 낙동북로 737 (구포동, 유림노르웨이숲아파트)46638유림노르웨이숲아파트(1차)20200708133934U2020-07-10 02:40:00.0<NA>382294.875431190361.486815부산광역시 북구 구포동 1293번지공공시설유림노르웨이숲아파트(1차)<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)비상시설위치시설구분명시설명건물명해제일자Unnamed: 32
14151416민방위대피시설11_46_02_P33000003300000-S20200000320201021<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>802.0<NA>부산광역시 동래구 안락동 1259 안락동리인아파트부산광역시 동래구 온천천로471번길 10 (안락동, 안락동리인아파트)47899안락경동리인아파트 2단지20201216140234U2020-12-18 02:40:00.0<NA>391710.145216190063.332984부산광역시 동래구 안락동 1259 안락동리인아파트공공시설안락경동리인아파트 2단지<NA><NA>
14161417민방위대피시설11_46_02_P33000003300000-S20200000520201106<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2878.0<NA>부산광역시 동래구 명장동 623 e편한세상 동래명장부산광역시 동래구 명장로 65 (명장동, e편한세상 동래명장)47767e편한세상동래명장아파트 1단지20201217164709U2020-12-19 02:40:00.0<NA>391918.250156191541.468721부산광역시 동래구 명장동 623 e편한세상 동래명장공공시설e편한세상동래명장아파트 1단지<NA><NA>
14171418민방위대피시설11_46_02_P33000003300000-S20200000620201106<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>345.0<NA>부산광역시 동래구 명장동 624 e편한세상 동래명장부산광역시 동래구 명장로 65 (명장동, e편한세상 동래명장)47767e편한세상동래명장아파트 2단지20201216140747U2020-12-18 02:40:00.0<NA>391918.250156191541.468721부산광역시 동래구 명장동 624 e편한세상 동래명장공공시설e편한세상동래명장아파트 2단지<NA><NA>
14181419민방위대피시설11_46_02_P33900003390000-S20200000120201118<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2634.0<NA>부산광역시 사상구 덕포동 58 덕포청구아파트 103동부산광역시 사상구 백양대로700번길 23, 103동 (덕포동, 덕포청구아파트)46957덕포청구아파트 103동20201119131416I2020-11-21 00:23:08.0<NA>381206.608421187429.732037부산광역시 사상구 덕포동 58 덕포청구아파트 103동공공시설덕포청구아파트 103동<NA><NA>
14191420민방위대피시설11_46_02_P33900003390000-S20180000420181025<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1319.0<NA>부산광역시 사상구 주례동 221번지 1호부산광역시 사상구 백양대로 372-37 (주례동, 주례센텀아파트)46997주례센텀아파트20190715142013U2019-07-17 02:40:00.0<NA>383153.515259185808.21125부산광역시 사상구 주례동 221번지 1호공공시설주례센텀아파트<NA><NA>
14201421민방위대피시설11_46_02_P33900003390000-S20180000320181029<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1165.0<NA>부산광역시 사상구 엄궁동 567번지 9호부산광역시 사상구 낙동대로 784-13 (엄궁동, 휴그린아파트)47039휴그린아파트20190711132919U2019-07-13 02:40:00.0<NA>379723.869913183052.704349부산광역시 사상구 엄궁동 567번지 9호공공시설휴그린아파트<NA><NA>
14211422민방위대피시설11_46_02_P33500003350000-S20180000120181221<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>81489.0<NA>부산광역시 금정구 장전동 745번지부산광역시 금정구 금정로 20 (장전동, 래미안장전)46298래미안장전20201119202321U2020-11-21 02:40:00.0<NA><NA><NA>부산광역시 금정구 장전동 745번지공공시설래미안장전<NA><NA>
14221423민방위대피시설11_46_02_P33900003390000-S20180000520181105<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3322.0<NA>부산광역시 사상구 주례동 116번지부산광역시 사상구 백양대로 526 (주례동, 경동리인)46993주례경동리인아파트20201021165826U2020-10-23 02:40:00.0<NA>381875.291854185970.169919부산광역시 사상구 주례동 116번지공공시설주례경동리인아파트<NA><NA>
14231424민방위대피시설11_46_02_P33800003380000-S20180000120181128<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1359.0<NA>부산광역시 수영구 망미동 1159번지 망미 이진캐스빌부산광역시 수영구 망미로30번길 51 (망미동, 망미 이진캐스빌)48239망미이진캐스빌아파트 지하주차장20190211152727U2019-02-13 02:40:00.0<NA>391284.537805187662.098992부산광역시 수영구 망미동 1159번지 망미 이진캐스빌공공시설망미이진캐스빌아파트 지하주차장<NA><NA>
14241425민방위대피시설11_46_02_P33900003390000-S20200000220201118<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1248.0<NA>부산광역시 사상구 삼락동 365-8 부산솔빛학교부산광역시 사상구 삼덕로5번길 171, 부산솔빛학교 (삼락동)46908부산솔빛학교20201231184913I2021-01-02 00:23:15.0<NA>380175.812262188781.894612부산광역시 사상구 삼락동 365-8 부산솔빛학교공공시설부산솔빛학교<NA><NA>