Overview

Dataset statistics

Number of variables34
Number of observations5154
Missing cells67780
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory287.0 B

Variable types

Numeric7
Categorical9
DateTime5
Unsupported6
Text7

Dataset

Description2023-08-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123161

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
항목값1 has constant value ""Constant
영업상태구분코드 is highly imbalanced (69.2%)Imbalance
영업상태명 is highly imbalanced (69.2%)Imbalance
상세영업상태코드 is highly imbalanced (75.4%)Imbalance
상세영업상태명 is highly imbalanced (75.4%)Imbalance
데이터갱신구분 is highly imbalanced (88.1%)Imbalance
인허가일자 has 195 (3.8%) missing valuesMissing
인허가취소일자 has 5154 (100.0%) missing valuesMissing
폐업일자 has 4612 (89.5%) missing valuesMissing
휴업시작일자 has 4640 (90.0%) missing valuesMissing
휴업종료일자 has 5154 (100.0%) missing valuesMissing
재개업일자 has 5154 (100.0%) missing valuesMissing
소재지전화 has 3471 (67.3%) missing valuesMissing
소재지면적 has 5154 (100.0%) missing valuesMissing
소재지우편번호 has 177 (3.4%) missing valuesMissing
소재지전체주소 has 61 (1.2%) missing valuesMissing
도로명전체주소 has 3432 (66.6%) missing valuesMissing
도로명우편번호 has 4703 (91.2%) missing valuesMissing
업태구분명 has 5154 (100.0%) missing valuesMissing
좌표정보(x) has 3064 (59.4%) missing valuesMissing
좌표정보(y) has 3064 (59.4%) missing valuesMissing
소재지 has 2746 (53.3%) missing valuesMissing
지정일자 has 4466 (86.7%) missing valuesMissing
신청일자 has 2225 (43.2%) missing valuesMissing
Unnamed: 33 has 5154 (100.0%) missing valuesMissing
신청일자 is highly skewed (γ1 = 26.39330668)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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
소재지면적 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
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 23:34:30.867880
Analysis finished2024-04-17 23:34:32.053858
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2577.5
Minimum1
Maximum5154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:32.122102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.65
Q11289.25
median2577.5
Q33865.75
95-th percentile4896.35
Maximum5154
Range5153
Interquartile range (IQR)2576.5

Descriptive statistics

Standard deviation1487.976
Coefficient of variation (CV)0.57729427
Kurtosis-1.2
Mean2577.5
Median Absolute Deviation (MAD)1288.5
Skewness0
Sum13284435
Variance2214072.5
MonotonicityStrictly increasing
2024-04-18T08:34:32.268000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3464 1
 
< 0.1%
3442 1
 
< 0.1%
3441 1
 
< 0.1%
3440 1
 
< 0.1%
3439 1
 
< 0.1%
3438 1
 
< 0.1%
3437 1
 
< 0.1%
3436 1
 
< 0.1%
3435 1
 
< 0.1%
Other values (5144) 5144
99.8%
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 (%)
5154 1
< 0.1%
5153 1
< 0.1%
5152 1
< 0.1%
5151 1
< 0.1%
5150 1
< 0.1%
5149 1
< 0.1%
5148 1
< 0.1%
5147 1
< 0.1%
5146 1
< 0.1%
5145 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
쓰레기종량제봉투판매업
5154 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쓰레기종량제봉투판매업 5154
100.0%

Length

2024-04-18T08:34:32.384904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:32.474099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 5154
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
09_30_13_P
5154 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_13_P
2nd row09_30_13_P
3rd row09_30_13_P
4th row09_30_13_P
5th row09_30_13_P

Common Values

ValueCountFrequency (%)
09_30_13_P 5154
100.0%

Length

2024-04-18T08:34:32.555321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:32.630173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 5154
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322537.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:32.706876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13280000
median3310000
Q33380000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation50071.18
Coefficient of variation (CV)0.015070161
Kurtosis-1.4370564
Mean3322537.8
Median Absolute Deviation (MAD)40000
Skewness0.25389424
Sum1.712436 × 1010
Variance2.5071231 × 109
MonotonicityNot monotonic
2024-04-18T08:34:32.813588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3390000 779
15.1%
3270000 751
14.6%
3380000 544
10.6%
3310000 506
9.8%
3280000 465
9.0%
3290000 431
8.4%
3250000 387
7.5%
3300000 368
7.1%
3330000 326
6.3%
3400000 269
 
5.2%
Other values (3) 328
6.4%
ValueCountFrequency (%)
3250000 387
7.5%
3270000 751
14.6%
3280000 465
9.0%
3290000 431
8.4%
3300000 368
7.1%
3310000 506
9.8%
3330000 326
6.3%
3340000 162
 
3.1%
3350000 16
 
0.3%
3360000 150
 
2.9%
ValueCountFrequency (%)
3400000 269
 
5.2%
3390000 779
15.1%
3380000 544
10.6%
3360000 150
 
2.9%
3350000 16
 
0.3%
3340000 162
 
3.1%
3330000 326
6.3%
3310000 506
9.8%
3300000 368
7.1%
3290000 431
8.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.322538 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:32.940976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500001 × 1017
5-th percentile3.2500001 × 1017
Q13.2800001 × 1017
median3.3100001 × 1017
Q33.3800001 × 1017
95-th percentile3.4000001 × 1017
Maximum3.4000001 × 1017
Range1.5 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation5.007118 × 1015
Coefficient of variation (CV)0.01507016
Kurtosis-1.4370564
Mean3.322538 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness0.25389424
Sum-3.1111257 × 1018
Variance2.5071231 × 1031
MonotonicityNot monotonic
2024-04-18T08:34:33.078595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201400009 1
 
< 0.1%
327000014200000285 1
 
< 0.1%
327000014200000265 1
 
< 0.1%
327000014200000264 1
 
< 0.1%
327000014200000263 1
 
< 0.1%
327000014200000262 1
 
< 0.1%
327000014200000261 1
 
< 0.1%
327000014200000260 1
 
< 0.1%
327000014200000259 1
 
< 0.1%
327000014200000258 1
 
< 0.1%
Other values (5144) 5144
99.8%
ValueCountFrequency (%)
325000014199400001 1
< 0.1%
325000014199400002 1
< 0.1%
325000014199400003 1
< 0.1%
325000014199400004 1
< 0.1%
325000014199400005 1
< 0.1%
325000014199400006 1
< 0.1%
325000014199400007 1
< 0.1%
325000014199400008 1
< 0.1%
325000014199400009 1
< 0.1%
325000014199400010 1
< 0.1%
ValueCountFrequency (%)
340000014200400277 1
< 0.1%
340000014200400276 1
< 0.1%
340000014200400275 1
< 0.1%
340000014200400274 1
< 0.1%
340000014200400273 1
< 0.1%
340000014200400272 1
< 0.1%
340000014200400271 1
< 0.1%
340000014200400270 1
< 0.1%
340000014200300269 1
< 0.1%
340000014200300268 1
< 0.1%

인허가일자
Date

MISSING 

Distinct1173
Distinct (%)23.7%
Missing195
Missing (%)3.8%
Memory size40.4 KiB
Minimum1966-03-08 00:00:00
Maximum2023-04-05 00:00:00
2024-04-18T08:34:33.204389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:33.337861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
1
4610 
3
543 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 4610
89.4%
3 543
 
10.5%
2 1
 
< 0.1%

Length

2024-04-18T08:34:33.458469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:33.546340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4610
89.4%
3 543
 
10.5%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
영업/정상
4610 
폐업
543 
휴업
 
1

Length

Max length5
Median length5
Mean length4.6833527
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 4610
89.4%
폐업 543
 
10.5%
휴업 1
 
< 0.1%

Length

2024-04-18T08:34:33.649383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:33.739860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4610
89.4%
폐업 543
 
10.5%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
11
4609 
2
543 
0
 
1
1
 
1

Length

Max length2
Median length2
Mean length1.8942569
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 4609
89.4%
2 543
 
10.5%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-04-18T08:34:33.834545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:33.929785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 4609
89.4%
2 543
 
10.5%
0 1
 
< 0.1%
1 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
영업
4609 
폐업
543 
<NA>
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.000388
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 4609
89.4%
폐업 543
 
10.5%
<NA> 1
 
< 0.1%
휴업 1
 
< 0.1%

Length

2024-04-18T08:34:34.032457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:34.146404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4609
89.4%
폐업 543
 
10.5%
na 1
 
< 0.1%
휴업 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct50
Distinct (%)9.2%
Missing4612
Missing (%)89.5%
Memory size40.4 KiB
Minimum2000-10-11 00:00:00
Maximum2021-05-06 00:00:00
2024-04-18T08:34:34.263610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:34.391864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct31
Distinct (%)6.0%
Missing4640
Missing (%)90.0%
Memory size40.4 KiB
Minimum2000-01-01 00:00:00
Maximum2019-11-11 00:00:00
2024-04-18T08:34:34.511501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:34.620181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

소재지전화
Text

MISSING 

Distinct1609
Distinct (%)95.6%
Missing3471
Missing (%)67.3%
Memory size40.4 KiB
2024-04-18T08:34:34.887191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.651218
Min length7

Characters and Unicode

Total characters17926
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1550 ?
Unique (%)92.1%

Sample

1st row051-250-2921
2nd row051-248-8106
3rd row0514667980
4th row0512546667
5th row0512469329
ValueCountFrequency (%)
051 1046
32.8%
416 86
 
2.7%
417 57
 
1.8%
412 46
 
1.4%
418 44
 
1.4%
405 42
 
1.3%
413 42
 
1.3%
415 38
 
1.2%
404 21
 
0.7%
403 20
 
0.6%
Other values (1629) 1748
54.8%
2024-04-18T08:34:35.276680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2914
16.3%
5 2603
14.5%
0 2525
14.1%
4 1693
9.4%
1513
8.4%
3 1411
7.9%
2 1363
7.6%
6 1244
6.9%
7 1016
 
5.7%
8 928
 
5.2%
Other values (2) 716
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16327
91.1%
Space Separator 1513
 
8.4%
Dash Punctuation 86
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2914
17.8%
5 2603
15.9%
0 2525
15.5%
4 1693
10.4%
3 1411
8.6%
2 1363
8.3%
6 1244
7.6%
7 1016
 
6.2%
8 928
 
5.7%
9 630
 
3.9%
Space Separator
ValueCountFrequency (%)
1513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17926
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2914
16.3%
5 2603
14.5%
0 2525
14.1%
4 1693
9.4%
1513
8.4%
3 1411
7.9%
2 1363
7.6%
6 1244
6.9%
7 1016
 
5.7%
8 928
 
5.2%
Other values (2) 716
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2914
16.3%
5 2603
14.5%
0 2525
14.1%
4 1693
9.4%
1513
8.4%
3 1411
7.9%
2 1363
7.6%
6 1244
6.9%
7 1016
 
5.7%
8 928
 
5.2%
Other values (2) 716
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

소재지우편번호
Text

MISSING 

Distinct419
Distinct (%)8.4%
Missing177
Missing (%)3.4%
Memory size40.4 KiB
2024-04-18T08:34:35.594573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters34839
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)2.0%

Sample

1st row600-111
2nd row600-111
3rd row600-111
4th row600-052
5th row600-062
ValueCountFrequency (%)
601-062 70
 
1.4%
601-012 63
 
1.3%
612-051 60
 
1.2%
612-082 57
 
1.1%
612-081 56
 
1.1%
601-013 55
 
1.1%
606-072 53
 
1.1%
606-081 53
 
1.1%
608-043 52
 
1.0%
601-064 52
 
1.0%
Other values (409) 4406
88.5%
2024-04-18T08:34:36.025094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6990
20.1%
6 6266
18.0%
1 6062
17.4%
- 4977
14.3%
2 2140
 
6.1%
8 2053
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1499
 
4.3%
9 823
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29862
85.7%
Dash Punctuation 4977
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6990
23.4%
6 6266
21.0%
1 6062
20.3%
2 2140
 
7.2%
8 2053
 
6.9%
3 1834
 
6.1%
4 1511
 
5.1%
7 1499
 
5.0%
9 823
 
2.8%
5 684
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4977
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6990
20.1%
6 6266
18.0%
1 6062
17.4%
- 4977
14.3%
2 2140
 
6.1%
8 2053
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1499
 
4.3%
9 823
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6990
20.1%
6 6266
18.0%
1 6062
17.4%
- 4977
14.3%
2 2140
 
6.1%
8 2053
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1499
 
4.3%
9 823
 
2.4%

소재지전체주소
Text

MISSING 

Distinct4602
Distinct (%)90.4%
Missing61
Missing (%)1.2%
Memory size40.4 KiB
2024-04-18T08:34:36.359707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.335951
Min length14

Characters and Unicode

Total characters123943
Distinct characters273
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4229 ?
Unique (%)83.0%

Sample

1st row부산광역시 중구 대청동1가 37-1번지 코모도에스테이트 108호
2nd row부산광역시 중구 남포동6가 3번지 신천지
3rd row부산광역시 중구 영주동 142-24번지 문화빌리지
4th row부산광역시 중구 영주동 640-28 2통2반
5th row부산광역시 중구 영주동 28번지 8통3반
ValueCountFrequency (%)
부산광역시 5093
 
19.8%
번지 2069
 
8.0%
사상구 780
 
3.0%
761
 
3.0%
동구 751
 
2.9%
수영구 543
 
2.1%
남구 504
 
2.0%
영도구 465
 
1.8%
부산진구 432
 
1.7%
동래구 368
 
1.4%
Other values (4750) 13962
54.3%
2024-04-18T08:34:36.837534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24486
19.8%
6207
 
5.0%
1 5828
 
4.7%
5688
 
4.6%
5587
 
4.5%
5425
 
4.4%
5110
 
4.1%
5096
 
4.1%
5036
 
4.1%
4953
 
4.0%
Other values (263) 50527
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69888
56.4%
Decimal Number 25210
 
20.3%
Space Separator 24486
 
19.8%
Dash Punctuation 4261
 
3.4%
Uppercase Letter 45
 
< 0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6207
 
8.9%
5688
 
8.1%
5587
 
8.0%
5425
 
7.8%
5110
 
7.3%
5096
 
7.3%
5036
 
7.2%
4953
 
7.1%
4846
 
6.9%
1200
 
1.7%
Other values (227) 20740
29.7%
Uppercase Letter
ValueCountFrequency (%)
A 18
40.0%
B 14
31.1%
T 2
 
4.4%
O 2
 
4.4%
E 1
 
2.2%
F 1
 
2.2%
W 1
 
2.2%
P 1
 
2.2%
S 1
 
2.2%
I 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5828
23.1%
2 3274
13.0%
3 2701
10.7%
4 2479
9.8%
5 2349
9.3%
6 1855
 
7.4%
7 1789
 
7.1%
0 1749
 
6.9%
8 1660
 
6.6%
9 1526
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 20
47.6%
@ 12
28.6%
/ 9
21.4%
' 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
k 1
20.0%
r 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
24486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4261
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69888
56.4%
Common 54005
43.6%
Latin 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6207
 
8.9%
5688
 
8.1%
5587
 
8.0%
5425
 
7.8%
5110
 
7.3%
5096
 
7.3%
5036
 
7.2%
4953
 
7.1%
4846
 
6.9%
1200
 
1.7%
Other values (227) 20740
29.7%
Common
ValueCountFrequency (%)
24486
45.3%
1 5828
 
10.8%
- 4261
 
7.9%
2 3274
 
6.1%
3 2701
 
5.0%
4 2479
 
4.6%
5 2349
 
4.3%
6 1855
 
3.4%
7 1789
 
3.3%
0 1749
 
3.2%
Other values (9) 3234
 
6.0%
Latin
ValueCountFrequency (%)
A 18
36.0%
B 14
28.0%
T 2
 
4.0%
O 2
 
4.0%
a 2
 
4.0%
E 1
 
2.0%
F 1
 
2.0%
W 1
 
2.0%
k 1
 
2.0%
P 1
 
2.0%
Other values (7) 7
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69888
56.4%
ASCII 54055
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24486
45.3%
1 5828
 
10.8%
- 4261
 
7.9%
2 3274
 
6.1%
3 2701
 
5.0%
4 2479
 
4.6%
5 2349
 
4.3%
6 1855
 
3.4%
7 1789
 
3.3%
0 1749
 
3.2%
Other values (26) 3284
 
6.1%
Hangul
ValueCountFrequency (%)
6207
 
8.9%
5688
 
8.1%
5587
 
8.0%
5425
 
7.8%
5110
 
7.3%
5096
 
7.3%
5036
 
7.2%
4953
 
7.1%
4846
 
6.9%
1200
 
1.7%
Other values (227) 20740
29.7%

도로명전체주소
Text

MISSING 

Distinct1606
Distinct (%)93.3%
Missing3432
Missing (%)66.6%
Memory size40.4 KiB
2024-04-18T08:34:37.174584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.926829
Min length19

Characters and Unicode

Total characters46368
Distinct characters285
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1510 ?
Unique (%)87.7%

Sample

1st row부산광역시 중구 중앙대로 2 (중앙동7가)
2nd row부산광역시 중구 대청로 121-1, 108호 (대청동1가, 코모도에스테이트)
3rd row부산광역시 중구 자갈치로 33, 신천지 (남포동6가)
4th row부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)
5th row부산광역시 중구 대영로242번안길 7 (영주동)
ValueCountFrequency (%)
부산광역시 1722
 
19.5%
사상구 468
 
5.3%
남구 424
 
4.8%
중구 233
 
2.6%
대연동 160
 
1.8%
사하구 140
 
1.6%
기장군 136
 
1.5%
문현동 106
 
1.2%
용호동 102
 
1.2%
주례동 94
 
1.1%
Other values (1665) 5259
59.5%
2024-04-18T08:34:37.677831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8291
 
17.9%
1980
 
4.3%
1889
 
4.1%
1831
 
3.9%
1814
 
3.9%
1751
 
3.8%
1723
 
3.7%
1637
 
3.5%
1606
 
3.5%
( 1597
 
3.4%
Other values (275) 22249
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27336
59.0%
Space Separator 8291
 
17.9%
Decimal Number 6962
 
15.0%
Open Punctuation 1597
 
3.4%
Close Punctuation 1597
 
3.4%
Dash Punctuation 308
 
0.7%
Other Punctuation 252
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1980
 
7.2%
1889
 
6.9%
1831
 
6.7%
1814
 
6.6%
1751
 
6.4%
1723
 
6.3%
1637
 
6.0%
1606
 
5.9%
977
 
3.6%
896
 
3.3%
Other values (249) 11232
41.1%
Decimal Number
ValueCountFrequency (%)
1 1557
22.4%
2 956
13.7%
3 822
11.8%
4 707
10.2%
6 537
 
7.7%
0 532
 
7.6%
5 529
 
7.6%
7 469
 
6.7%
9 462
 
6.6%
8 391
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
57.9%
A 4
 
21.1%
C 1
 
5.3%
E 1
 
5.3%
W 1
 
5.3%
D 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
a 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 243
96.4%
@ 9
 
3.6%
Space Separator
ValueCountFrequency (%)
8291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27336
59.0%
Common 19010
41.0%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1980
 
7.2%
1889
 
6.9%
1831
 
6.7%
1814
 
6.6%
1751
 
6.4%
1723
 
6.3%
1637
 
6.0%
1606
 
5.9%
977
 
3.6%
896
 
3.3%
Other values (249) 11232
41.1%
Common
ValueCountFrequency (%)
8291
43.6%
( 1597
 
8.4%
) 1597
 
8.4%
1 1557
 
8.2%
2 956
 
5.0%
3 822
 
4.3%
4 707
 
3.7%
6 537
 
2.8%
0 532
 
2.8%
5 529
 
2.8%
Other values (7) 1885
 
9.9%
Latin
ValueCountFrequency (%)
B 11
50.0%
A 4
 
18.2%
g 1
 
4.5%
C 1
 
4.5%
E 1
 
4.5%
W 1
 
4.5%
a 1
 
4.5%
D 1
 
4.5%
s 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27336
59.0%
ASCII 19032
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8291
43.6%
( 1597
 
8.4%
) 1597
 
8.4%
1 1557
 
8.2%
2 956
 
5.0%
3 822
 
4.3%
4 707
 
3.7%
6 537
 
2.8%
0 532
 
2.8%
5 529
 
2.8%
Other values (16) 1907
 
10.0%
Hangul
ValueCountFrequency (%)
1980
 
7.2%
1889
 
6.9%
1831
 
6.7%
1814
 
6.6%
1751
 
6.4%
1723
 
6.3%
1637
 
6.0%
1606
 
5.9%
977
 
3.6%
896
 
3.3%
Other values (249) 11232
41.1%

도로명우편번호
Text

MISSING 

Distinct170
Distinct (%)37.7%
Missing4703
Missing (%)91.2%
Memory size40.4 KiB
2024-04-18T08:34:37.993533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.4634146
Min length5

Characters and Unicode

Total characters2915
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)16.0%

Sample

1st row600-017
2nd row48932
3rd row48982
4th row48914
5th row600-110
ValueCountFrequency (%)
619-903 19
 
4.2%
617-818 11
 
2.4%
617-800 10
 
2.2%
617-833 10
 
2.2%
617-802 10
 
2.2%
600-110 9
 
2.0%
617-841 9
 
2.0%
48953 9
 
2.0%
617-807 8
 
1.8%
617-836 8
 
1.8%
Other values (160) 348
77.2%
2024-04-18T08:34:38.429891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 425
14.6%
6 405
13.9%
8 381
13.1%
- 330
11.3%
7 300
10.3%
0 298
10.2%
9 263
9.0%
4 200
6.9%
3 137
 
4.7%
2 96
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2585
88.7%
Dash Punctuation 330
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 425
16.4%
6 405
15.7%
8 381
14.7%
7 300
11.6%
0 298
11.5%
9 263
10.2%
4 200
7.7%
3 137
 
5.3%
2 96
 
3.7%
5 80
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2915
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 425
14.6%
6 405
13.9%
8 381
13.1%
- 330
11.3%
7 300
10.3%
0 298
10.2%
9 263
9.0%
4 200
6.9%
3 137
 
4.7%
2 96
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 425
14.6%
6 405
13.9%
8 381
13.1%
- 330
11.3%
7 300
10.3%
0 298
10.2%
9 263
9.0%
4 200
6.9%
3 137
 
4.7%
2 96
 
3.3%
Distinct3243
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-04-18T08:34:38.718550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length5.1078774
Min length1

Characters and Unicode

Total characters26326
Distinct characters551
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2528 ?
Unique (%)49.0%

Sample

1st row롯데쇼핑(주) 롯데마트 광복점
2nd row세븐일레븐 부산코모도점
3rd row자갈치 탑마트
4th rowGS25 부산터널점
5th row봉래슈퍼마켓
ValueCountFrequency (%)
슈퍼 136
 
2.4%
럭키슈퍼 48
 
0.8%
훼미리마트 39
 
0.7%
담배가게 34
 
0.6%
구멍가게 33
 
0.6%
경북상회 30
 
0.5%
빅세일마트 30
 
0.5%
미화당슈퍼 26
 
0.5%
상회 25
 
0.4%
세븐일레븐 25
 
0.4%
Other values (3291) 5273
92.5%
2024-04-18T08:34:39.116666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2004
 
7.6%
1753
 
6.7%
1020
 
3.9%
961
 
3.7%
894
 
3.4%
773
 
2.9%
595
 
2.3%
547
 
2.1%
390
 
1.5%
367
 
1.4%
Other values (541) 17022
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24519
93.1%
Space Separator 547
 
2.1%
Decimal Number 477
 
1.8%
Uppercase Letter 392
 
1.5%
Open Punctuation 163
 
0.6%
Close Punctuation 163
 
0.6%
Lowercase Letter 38
 
0.1%
Dash Punctuation 12
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.1%
1020
 
4.2%
961
 
3.9%
894
 
3.6%
773
 
3.2%
595
 
2.4%
390
 
1.6%
367
 
1.5%
363
 
1.5%
Other values (485) 15399
62.8%
Uppercase Letter
ValueCountFrequency (%)
G 117
29.8%
S 84
21.4%
L 46
 
11.7%
C 33
 
8.4%
A 16
 
4.1%
K 14
 
3.6%
P 12
 
3.1%
T 11
 
2.8%
M 10
 
2.6%
J 9
 
2.3%
Other values (12) 40
 
10.2%
Lowercase Letter
ValueCountFrequency (%)
i 8
21.1%
n 6
15.8%
g 4
10.5%
e 3
 
7.9%
o 3
 
7.9%
s 3
 
7.9%
k 2
 
5.3%
c 2
 
5.3%
y 1
 
2.6%
m 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
2 208
43.6%
5 153
32.1%
4 37
 
7.8%
1 28
 
5.9%
3 19
 
4.0%
0 10
 
2.1%
8 10
 
2.1%
6 7
 
1.5%
7 5
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
547
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24520
93.1%
Common 1376
 
5.2%
Latin 430
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.1%
1020
 
4.2%
961
 
3.9%
894
 
3.6%
773
 
3.2%
595
 
2.4%
390
 
1.6%
367
 
1.5%
363
 
1.5%
Other values (486) 15400
62.8%
Latin
ValueCountFrequency (%)
G 117
27.2%
S 84
19.5%
L 46
 
10.7%
C 33
 
7.7%
A 16
 
3.7%
K 14
 
3.3%
P 12
 
2.8%
T 11
 
2.6%
M 10
 
2.3%
J 9
 
2.1%
Other values (27) 78
18.1%
Common
ValueCountFrequency (%)
547
39.8%
2 208
 
15.1%
( 163
 
11.8%
) 163
 
11.8%
5 153
 
11.1%
4 37
 
2.7%
1 28
 
2.0%
3 19
 
1.4%
- 12
 
0.9%
0 10
 
0.7%
Other values (8) 36
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24519
93.1%
ASCII 1806
 
6.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.1%
1020
 
4.2%
961
 
3.9%
894
 
3.6%
773
 
3.2%
595
 
2.4%
390
 
1.6%
367
 
1.5%
363
 
1.5%
Other values (485) 15399
62.8%
ASCII
ValueCountFrequency (%)
547
30.3%
2 208
 
11.5%
( 163
 
9.0%
) 163
 
9.0%
5 153
 
8.5%
G 117
 
6.5%
S 84
 
4.7%
L 46
 
2.5%
4 37
 
2.0%
C 33
 
1.8%
Other values (45) 255
14.1%
None
ValueCountFrequency (%)
1
100.0%
Distinct1531
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2007-07-07 09:58:56
Maximum2023-07-05 20:22:48
2024-04-18T08:34:39.255312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:39.401248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
I
5071 
U
 
83

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5071
98.4%
U 83
 
1.6%

Length

2024-04-18T08:34:39.515196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:39.599842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5071
98.4%
u 83
 
1.6%
Distinct103
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-07 02:40:00
2024-04-18T08:34:39.697218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:39.842937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1871
Distinct (%)89.5%
Missing3064
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean387933.55
Minimum370283.36
Maximum408017.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:39.982661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370283.36
5-th percentile379697.1
Q1381760.29
median386946.47
Q3392548.08
95-th percentile401465.92
Maximum408017.31
Range37733.954
Interquartile range (IQR)10787.796

Descriptive statistics

Standard deviation6505.5935
Coefficient of variation (CV)0.016769865
Kurtosis-0.12869016
Mean387933.55
Median Absolute Deviation (MAD)5455.8601
Skewness0.58796569
Sum8.1078113 × 108
Variance42322747
MonotonicityNot monotonic
2024-04-18T08:34:40.119344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385558.912351386 5
 
0.1%
385230.605157267 5
 
0.1%
385576.893648772 5
 
0.1%
390195.849928706 4
 
0.1%
381345.772891816 4
 
0.1%
388577.664510707 4
 
0.1%
385570.015221682 4
 
0.1%
386296.184967112 4
 
0.1%
373499.123572701 4
 
0.1%
379554.826788489 4
 
0.1%
Other values (1861) 2047
39.7%
(Missing) 3064
59.4%
ValueCountFrequency (%)
370283.356710759 1
 
< 0.1%
373348.883144037 1
 
< 0.1%
373499.123572701 4
0.1%
375687.207326494 2
< 0.1%
375806.291316533 1
 
< 0.1%
376066.307716551 1
 
< 0.1%
376323.373375018 2
< 0.1%
377247.719697649 1
 
< 0.1%
377251.892703857 1
 
< 0.1%
377428.060273734 1
 
< 0.1%
ValueCountFrequency (%)
408017.311050022 1
< 0.1%
408001.930942479 1
< 0.1%
407556.883860416 1
< 0.1%
407183.523403722 1
< 0.1%
407121.780972478 1
< 0.1%
406941.374909645 1
< 0.1%
405695.504047813 1
< 0.1%
405674.293308155 1
< 0.1%
405671.882820521 1
< 0.1%
405636.515481036 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1871
Distinct (%)89.5%
Missing3064
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean185743.06
Minimum173895.66
Maximum210111.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:40.918504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178634.32
Q1181471.46
median184651.64
Q3189051.59
95-th percentile196023.88
Maximum210111.93
Range36216.274
Interquartile range (IQR)7580.1213

Descriptive statistics

Standard deviation5792.7382
Coefficient of variation (CV)0.031186835
Kurtosis1.096268
Mean185743.06
Median Absolute Deviation (MAD)3592.7121
Skewness0.99014209
Sum3.88203 × 108
Variance33555815
MonotonicityNot monotonic
2024-04-18T08:34:41.054348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182474.551700716 5
 
0.1%
181026.921498134 5
 
0.1%
185778.180339864 5
 
0.1%
183602.493480861 4
 
0.1%
189447.844867645 4
 
0.1%
178279.998453366 4
 
0.1%
187424.7082035 4
 
0.1%
182709.735940952 4
 
0.1%
181704.648037241 4
 
0.1%
184301.128962727 4
 
0.1%
Other values (1861) 2047
39.7%
(Missing) 3064
59.4%
ValueCountFrequency (%)
173895.655729558 1
 
< 0.1%
174087.295724335 1
 
< 0.1%
174140.916066183 3
0.1%
174581.422989481 1
 
< 0.1%
174641.982653379 1
 
< 0.1%
174726.119275798 1
 
< 0.1%
174811.513941025 1
 
< 0.1%
174835.290190726 2
< 0.1%
175046.234022708 1
 
< 0.1%
175305.892570274 1
 
< 0.1%
ValueCountFrequency (%)
210111.930055851 1
< 0.1%
210070.139497292 1
< 0.1%
208045.649878874 1
< 0.1%
205746.641292244 1
< 0.1%
205731.410874073 1
< 0.1%
205657.798299973 1
< 0.1%
205511.039663436 1
< 0.1%
205498.396301384 1
< 0.1%
205453.320815192 1
< 0.1%
205450.374566703 1
< 0.1%

업소구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
지정
2607 
<NA>
2175 
종료
372 

Length

Max length4
Median length2
Mean length2.8440047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row지정
3rd row지정
4th row지정
5th row종료

Common Values

ValueCountFrequency (%)
지정 2607
50.6%
<NA> 2175
42.2%
종료 372
 
7.2%

Length

2024-04-18T08:34:41.206117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:41.310214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 2607
50.6%
na 2175
42.2%
종료 372
 
7.2%

소재지
Text

MISSING 

Distinct2116
Distinct (%)87.9%
Missing2746
Missing (%)53.3%
Memory size40.4 KiB
2024-04-18T08:34:41.651637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length11.298588
Min length2

Characters and Unicode

Total characters27207
Distinct characters212
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1998 ?
Unique (%)83.0%

Sample

1st row부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트 108호
2nd row부산광역시 중구 영주동 142번지 24호 문화빌리지
3rd row부산광역시 중구 영주동 640-28번지 2 통 2 반
4th row부산광역시 중구 영주동 28번지 8 통 3 반
5th row부산광역시 중구 영주동 525번지 18 통 1 반
ValueCountFrequency (%)
부산광역시 640
 
11.7%
중구 309
 
5.7%
사상구 296
 
5.4%
1호 80
 
1.5%
68
 
1.2%
영주동 56
 
1.0%
괘법동 51
 
0.9%
대라리 46
 
0.8%
2호 38
 
0.7%
감전동 35
 
0.6%
Other values (2248) 3835
70.3%
2024-04-18T08:34:42.185434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3347
 
12.3%
1 2458
 
9.0%
2 1473
 
5.4%
- 1422
 
5.2%
3 1112
 
4.1%
1063
 
3.9%
5 999
 
3.7%
4 944
 
3.5%
799
 
2.9%
785
 
2.9%
Other values (202) 12805
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11511
42.3%
Decimal Number 10716
39.4%
Space Separator 3347
 
12.3%
Dash Punctuation 1422
 
5.2%
Other Punctuation 111
 
0.4%
Close Punctuation 41
 
0.2%
Open Punctuation 41
 
0.2%
Uppercase Letter 15
 
0.1%
Modifier Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1063
 
9.2%
799
 
6.9%
785
 
6.8%
717
 
6.2%
686
 
6.0%
666
 
5.8%
663
 
5.8%
653
 
5.7%
644
 
5.6%
598
 
5.2%
Other values (179) 4237
36.8%
Decimal Number
ValueCountFrequency (%)
1 2458
22.9%
2 1473
13.7%
3 1112
10.4%
5 999
9.3%
4 944
 
8.8%
0 784
 
7.3%
6 776
 
7.2%
7 770
 
7.2%
8 712
 
6.6%
9 688
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 92
82.9%
@ 13
 
11.7%
, 6
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
53.3%
A 6
40.0%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15680
57.6%
Hangul 11511
42.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1063
 
9.2%
799
 
6.9%
785
 
6.8%
717
 
6.2%
686
 
6.0%
666
 
5.8%
663
 
5.8%
653
 
5.7%
644
 
5.6%
598
 
5.2%
Other values (179) 4237
36.8%
Common
ValueCountFrequency (%)
3347
21.3%
1 2458
15.7%
2 1473
9.4%
- 1422
9.1%
3 1112
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 776
 
4.9%
7 770
 
4.9%
Other values (9) 1595
10.2%
Latin
ValueCountFrequency (%)
B 8
50.0%
A 6
37.5%
C 1
 
6.2%
a 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15696
57.7%
Hangul 11510
42.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3347
21.3%
1 2458
15.7%
2 1473
9.4%
- 1422
9.1%
3 1112
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 776
 
4.9%
7 770
 
4.9%
Other values (13) 1611
10.3%
Hangul
ValueCountFrequency (%)
1063
 
9.2%
799
 
6.9%
785
 
6.8%
717
 
6.2%
686
 
6.0%
666
 
5.8%
663
 
5.8%
653
 
5.7%
644
 
5.6%
598
 
5.2%
Other values (178) 4236
36.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)50.0%
Missing4466
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean20053634
Minimum19950301
Maximum20230530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:42.326550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090602
Q320110422
95-th percentile20210820
Maximum20230530
Range280229
Interquartile range (IQR)160121

Descriptive statistics

Standard deviation93189.582
Coefficient of variation (CV)0.0046470173
Kurtosis-1.3694088
Mean20053634
Median Absolute Deviation (MAD)100304.5
Skewness0.10354833
Sum1.37969 × 1010
Variance8.6842982 × 109
MonotonicityNot monotonic
2024-04-18T08:34:42.459574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
5.5%
20110308 4
 
0.1%
20110504 3
 
0.1%
20090914 3
 
0.1%
20100316 3
 
0.1%
20090102 3
 
0.1%
20100525 3
 
0.1%
20110523 3
 
0.1%
20110421 3
 
0.1%
20170620 2
 
< 0.1%
Other values (334) 378
 
7.3%
(Missing) 4466
86.7%
ValueCountFrequency (%)
19950301 283
5.5%
20060203 1
 
< 0.1%
20070724 1
 
< 0.1%
20070726 1
 
< 0.1%
20070731 1
 
< 0.1%
20070802 1
 
< 0.1%
20070807 2
 
< 0.1%
20070829 1
 
< 0.1%
20070906 1
 
< 0.1%
20070911 2
 
< 0.1%
ValueCountFrequency (%)
20230530 1
< 0.1%
20230321 1
< 0.1%
20230213 1
< 0.1%
20230209 1
< 0.1%
20221220 1
< 0.1%
20221201 1
< 0.1%
20221111 2
< 0.1%
20221031 1
< 0.1%
20221027 2
< 0.1%
20221025 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct714
Distinct (%)24.4%
Missing2225
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean19995997
Minimum1995010
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:42.593776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995010
5-th percentile19950101
Q119950301
median19960322
Q320010102
95-th percentile20120267
Maximum50000504
Range48005494
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation649709.9
Coefficient of variation (CV)0.032491999
Kurtosis1755.2961
Mean19995997
Median Absolute Deviation (MAD)10221
Skewness26.393307
Sum5.8568274 × 1010
Variance4.2212295 × 1011
MonotonicityNot monotonic
2024-04-18T08:34:42.729100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 704
 
13.7%
20010102 399
 
7.7%
19950101 246
 
4.8%
19960308 133
 
2.6%
19960101 115
 
2.2%
19950501 107
 
2.1%
19941221 59
 
1.1%
19960501 46
 
0.9%
19970501 40
 
0.8%
19950215 36
 
0.7%
Other values (704) 1044
20.3%
(Missing) 2225
43.2%
ValueCountFrequency (%)
1995010 1
 
< 0.1%
19550501 2
 
< 0.1%
19660308 3
 
0.1%
19920101 3
 
0.1%
19930101 6
 
0.1%
19930901 1
 
< 0.1%
19940101 1
 
< 0.1%
19941219 15
 
0.3%
19941221 59
1.1%
19941225 1
 
< 0.1%
ValueCountFrequency (%)
50000504 1
< 0.1%
20230530 1
< 0.1%
20230405 1
< 0.1%
20230321 1
< 0.1%
20230213 1
< 0.1%
20230209 1
< 0.1%
20221219 1
< 0.1%
20221128 1
< 0.1%
20221107 1
< 0.1%
20221102 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
관급봉투
5154 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 5154
100.0%

Length

2024-04-18T08:34:42.855195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:42.941121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 5154
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
01쓰레기종량제봉투판매업09_30_13_P32500003250000142014000092014-08-05<NA>1영업/정상0<NA><NA>2016-08-07<NA><NA>051-250-2921<NA><NA><NA>부산광역시 중구 중앙대로 2 (중앙동7가)600-017롯데쇼핑(주) 롯데마트 광복점2022-04-22 14:46:12U2022-04-24 02:40:00<NA>385590.814677179553.867032지정<NA>2022042220220422관급봉투<NA>
12쓰레기종량제봉투판매업09_30_13_P32500003250000142018000122018-11-05<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37-1번지 코모도에스테이트 108호부산광역시 중구 대청로 121-1, 108호 (대청동1가, 코모도에스테이트)48932세븐일레븐 부산코모도점2018-11-05 10:07:46I2018-11-07 02:37:55<NA>385306.698877180120.939471지정부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트 108호2018110520181105관급봉투<NA>
23쓰레기종량제봉투판매업09_30_13_P32500003250000142019000012019-01-11<NA>1영업/정상11영업<NA><NA><NA><NA>051-248-8106<NA><NA>부산광역시 중구 남포동6가 3번지 신천지부산광역시 중구 자갈치로 33, 신천지 (남포동6가)48982자갈치 탑마트2019-01-11 17:51:39I2019-01-13 02:20:47<NA>384836.914456179432.73458지정<NA>2019011120190111관급봉투<NA>
34쓰레기종량제봉투판매업09_30_13_P32500003250000142019000022019-03-19<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 142-24번지 문화빌리지부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)48914GS25 부산터널점2019-03-19 11:05:38I2019-03-21 02:21:57<NA>385234.390509181142.867958지정부산광역시 중구 영주동 142번지 24호 문화빌리지2019031920190318관급봉투<NA>
45쓰레기종량제봉투판매업09_30_13_P32500003250000141994000011994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 640-28 2통2반부산광역시 중구 대영로242번안길 7 (영주동)600-110봉래슈퍼마켓2021-02-02 12:09:45U2021-02-04 02:40:00<NA>385551.263008180920.368072종료부산광역시 중구 영주동 640-28번지 2 통 2 반<NA>19941221관급봉투<NA>
56쓰레기종량제봉투판매업09_30_13_P32500003250000141994000031994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 28번지 8통3반<NA><NA>경북상회2013-12-30 12:54:53I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 영주동 28번지 8 통 3 반<NA>19941221관급봉투<NA>
67쓰레기종량제봉투판매업09_30_13_P32500003250000141994000041994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 525번지 18통1반<NA><NA>잡화상2007-07-07 10:00:50I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 영주동 525번지 18 통 1 반<NA>19941221관급봉투<NA>
78쓰레기종량제봉투판매업09_30_13_P32500003250000141994000051994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-052부산광역시 중구 창선동2가 40번지<NA><NA>창선담배집2013-12-30 12:58:01I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 창선동2가 40번지<NA>19941221관급봉투<NA>
89쓰레기종량제봉투판매업09_30_13_P32500003250000141994000061994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-062부산광역시 중구 신창동2가 22번지부산광역시 중구 광복로43번길 11 (신창동2가)<NA>신생아파트2013-12-30 12:59:01I2018-08-31 23:59:59<NA>384985.998766179790.331106지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
910쓰레기종량제봉투판매업09_30_13_P32500003250000141994000071994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-061부산광역시 중구 신창동1가 4번지부산광역시 중구 광복중앙로 27 (신창동1가)<NA>용두산맨션2013-12-30 12:59:47I2018-08-31 23:59:59<NA>385081.060358179965.026159지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
51445145쓰레기종량제봉투판매업09_30_13_P33300003330000141999130011999-05-01<NA>1영업/정상11영업<NA><NA><NA><NA>07841040<NA>612-051부산광역시 해운대구 재송동 152번지부산광역시 해운대구 재반로64번길 42 (재송동)<NA>명유그린관리소2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393833.419763189479.649739지정152<NA>19990501관급봉투<NA>
51455146쓰레기종량제봉투판매업09_30_13_P33300003330000141999130021999-05-01<NA>1영업/정상11영업<NA><NA><NA><NA>7814150<NA>612-051부산광역시 해운대구 재송동 1089-14번지<NA><NA>매일슈퍼2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393417.319333189499.009728지정1089-14<NA>19990501관급봉투<NA>
51465147쓰레기종량제봉투판매업09_30_13_P33300003330000141999130031999-05-01<NA>1영업/정상11영업<NA><NA><NA><NA>7841303<NA>612-051부산광역시 해운대구 재송동 151-11번지<NA><NA>근대화슈퍼2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393764.081471189430.43849지정151-11<NA>19990501관급봉투<NA>
51475148쓰레기종량제봉투판매업09_30_13_P33300003330000141999130041999-05-01<NA>1영업/정상11영업<NA><NA><NA><NA>7813235<NA>612-051부산광역시 해운대구 재송동 131번지부산광역시 해운대구 재반로60번길 46-6 (재송동)<NA>농심가2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393812.295569189343.258996지정131<NA>19990501관급봉투<NA>
51485149쓰레기종량제봉투판매업09_30_13_P33300003330000141999900021999-07-19<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-063부산광역시 해운대구 반여동 1575-10번지<NA><NA>사랑상회2007-07-07 10:18:30I2018-08-31 23:59:59<NA>394356.716367191343.051442지정1575-10<NA>19990719관급봉투<NA>
51495150쓰레기종량제봉투판매업09_30_13_P33300003330000142000010012000-05-01<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-081부산광역시 해운대구 반송동 2501115번지<NA><NA>부식슈퍼2007-07-07 10:18:30I2018-08-31 23:59:59<NA><NA><NA>지정250-1115<NA>20000501관급봉투<NA>
51505151쓰레기종량제봉투판매업09_30_13_P33300003330000142000010022000-05-01<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-081부산광역시 해운대구 반송동 250-1091번지<NA><NA>경산상회2007-07-07 10:18:30I2018-08-31 23:59:59<NA>395612.137415193507.808791지정250-1091<NA>20000501관급봉투<NA>
51515152쓰레기종량제봉투판매업09_30_13_P33300003330000142000010032000-05-01<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-070부산광역시 해운대구 석대동 234번지부산광역시 해운대구 반송로607번길 17 (석대동)<NA>석대슈퍼2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393822.599194193336.504032지정석대동234<NA>20000501관급봉투<NA>
51525153쓰레기종량제봉투판매업09_30_13_P33300003330000142000010042000-05-01<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-070부산광역시 해운대구 석대동 231-33번지<NA><NA>석대새마을금고2007-07-07 10:18:30I2018-08-31 23:59:59<NA>393798.792591193251.776875지정231-33<NA>20000501관급봉투<NA>
51535154쓰레기종량제봉투판매업09_30_13_P33300003330000142000100332000-08-02<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612-063부산광역시 해운대구 반여동 1582-13번지<NA><NA>미화당대경슈퍼2007-07-07 10:18:30I2018-08-31 23:59:59<NA>394352.510288191184.822403<NA><NA><NA><NA>관급봉투<NA>