Overview

Dataset statistics

Number of variables28
Number of observations1686
Missing cells34665
Missing cells (%)73.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory405.2 KiB
Average record size in memory246.1 B

Variable types

Text4
Numeric4
Categorical1
Unsupported19

Dataset

Description컨텐츠 아이디,공원 명,지번주소 코드,지번주소,도로명주소 코드,도로명주소,X좌표(LNG),Y좌표(LAT),컨텐츠상세필드명1,컨텐츠상세명11,컨텐츠상세필드명12,컨텐츠상세명12,컨텐츠상세필드명13,컨텐츠상세명13,컨텐츠상세필드명14,컨텐츠상세명14,컨텐츠상세필드명15,컨텐츠상세명15,컨텐츠상세필드명16,컨텐츠상세명16,컨텐츠상세필드명17,컨텐츠상세명17,컨텐츠상세필드명18,컨텐츠상세명18,컨텐츠상세필드명19,컨텐츠상세명19,컨텐츠상세필드명20,컨텐츠상세명20
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20884/S/1/datasetView.do

Alerts

컨텐츠상세필드명1 is highly imbalanced (90.9%)Imbalance
지번주소 코드 has 679 (40.3%) missing valuesMissing
도로명주소 코드 has 1597 (94.7%) missing valuesMissing
도로명주소 has 355 (21.1%) missing valuesMissing
컨텐츠상세명11 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명12 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명12 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명13 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명13 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명14 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명14 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명15 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명15 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명16 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명16 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명17 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명17 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명18 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명18 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명19 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명19 has 1686 (100.0%) missing valuesMissing
컨텐츠상세필드명20 has 1686 (100.0%) missing valuesMissing
컨텐츠상세명20 has 1686 (100.0%) missing valuesMissing
지번주소 코드 is highly skewed (γ1 = 21.63595805)Skewed
컨텐츠 아이디 has unique valuesUnique
컨텐츠상세명11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세필드명20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컨텐츠상세명20 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-18 03:06:47.106139
Analysis finished2024-05-18 03:06:48.792971
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

컨텐츠 아이디
Text

UNIQUE 

Distinct1686
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-05-18T12:06:49.219873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length13.614472
Min length5

Characters and Unicode

Total characters22954
Distinct characters420
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1686 ?
Unique (%)100.0%

Sample

1st row중구-서소문구역제5지구소공원-1
2nd row중구-배채어린이공원-1
3rd row중구-순화어린이공원
4th row중구-정동 근린공원-1
5th row중구-순화문화공원-1
ValueCountFrequency (%)
어린이공원-1 61
 
3.3%
한강사업본부-한강시민공원 15
 
0.8%
공원-1 10
 
0.5%
근린공원-1 7
 
0.4%
관악구-관악산 4
 
0.2%
은평구-불광천 4
 
0.2%
음수대-1 4
 
0.2%
마을마당-1 4
 
0.2%
서대문구-홍제천변 4
 
0.2%
어린이 4
 
0.2%
Other values (1715) 1739
93.7%
2024-05-18T12:06:50.224800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3328
 
14.5%
원 1690
 
7.4%
공 1541
 
6.7%
구 1442
 
6.3%
1 1117
 
4.9%
린 640
 
2.8%
이 519
 
2.3%
강 514
 
2.2%
어 456
 
2.0%
서 416
 
1.8%
Other values (410) 11291
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17273
75.3%
Dash Punctuation 3328
 
14.5%
Decimal Number 1867
 
8.1%
Space Separator 170
 
0.7%
Close Punctuation 154
 
0.7%
Open Punctuation 154
 
0.7%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1690
 
9.8%
공 1541
 
8.9%
구 1442
 
8.3%
린 640
 
3.7%
이 519
 
3.0%
강 514
 
3.0%
어 456
 
2.6%
서 416
 
2.4%
한 361
 
2.1%
지 350
 
2.0%
Other values (390) 9344
54.1%
Decimal Number
ValueCountFrequency (%)
1 1117
59.8%
2 228
 
12.2%
3 135
 
7.2%
4 95
 
5.1%
5 76
 
4.1%
6 53
 
2.8%
7 52
 
2.8%
8 40
 
2.1%
9 38
 
2.0%
0 33
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
D 2
25.0%
P 1
12.5%
C 1
12.5%
T 1
12.5%
S 1
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 3328
100.0%
Space Separator
ValueCountFrequency (%)
170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17273
75.3%
Common 5673
 
24.7%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1690
 
9.8%
공 1541
 
8.9%
구 1442
 
8.3%
린 640
 
3.7%
이 519
 
3.0%
강 514
 
3.0%
어 456
 
2.6%
서 416
 
2.4%
한 361
 
2.1%
지 350
 
2.0%
Other values (390) 9344
54.1%
Common
ValueCountFrequency (%)
- 3328
58.7%
1 1117
 
19.7%
2 228
 
4.0%
170
 
3.0%
) 154
 
2.7%
( 154
 
2.7%
3 135
 
2.4%
4 95
 
1.7%
5 76
 
1.3%
6 53
 
0.9%
Other values (4) 163
 
2.9%
Latin
ValueCountFrequency (%)
E 2
25.0%
D 2
25.0%
P 1
12.5%
C 1
12.5%
T 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17273
75.3%
ASCII 5681
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3328
58.6%
1 1117
 
19.7%
2 228
 
4.0%
170
 
3.0%
) 154
 
2.7%
( 154
 
2.7%
3 135
 
2.4%
4 95
 
1.7%
5 76
 
1.3%
6 53
 
0.9%
Other values (10) 171
 
3.0%
Hangul
ValueCountFrequency (%)
원 1690
 
9.8%
공 1541
 
8.9%
구 1442
 
8.3%
린 640
 
3.7%
이 519
 
3.0%
강 514
 
3.0%
어 456
 
2.6%
서 416
 
2.4%
한 361
 
2.1%
지 350
 
2.0%
Other values (390) 9344
54.1%

공원 명
Text

Distinct984
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-05-18T12:06:50.805452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.2372479
Min length2

Characters and Unicode

Total characters12202
Distinct characters419
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique795 ?
Unique (%)47.2%

Sample

1st row서소문구역제5지구소공원
2nd row배재어린이공원
3rd row중구-순화어린이공원
4th row정동 근린공원
5th row순화문화공원
ValueCountFrequency (%)
어린이공원 62
 
3.3%
서울대공원 60
 
3.2%
월드컵공원 28
 
1.5%
현충원 25
 
1.3%
한강시민공원(뚝섬지구 22
 
1.2%
한강시민공원 21
 
1.1%
한강시민공원(여의도안내센터 20
 
1.1%
한강시민공원(이촌지구 19
 
1.0%
응봉근린공원 18
 
1.0%
올림픽공원 18
 
1.0%
Other values (1011) 1561
84.2%
2024-05-18T12:06:52.174639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1539
 
12.6%
공 1453
 
11.9%
린 657
 
5.4%
이 533
 
4.4%
어 468
 
3.8%
구 224
 
1.8%
한 201
 
1.6%
근 195
 
1.6%
지 194
 
1.6%
시 180
 
1.5%
Other values (409) 6558
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11510
94.3%
Space Separator 171
 
1.4%
Close Punctuation 158
 
1.3%
Open Punctuation 158
 
1.3%
Dash Punctuation 115
 
0.9%
Decimal Number 82
 
0.7%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1539
 
13.4%
공 1453
 
12.6%
린 657
 
5.7%
이 533
 
4.6%
어 468
 
4.1%
구 224
 
1.9%
한 201
 
1.7%
근 195
 
1.7%
지 194
 
1.7%
시 180
 
1.6%
Other values (390) 5866
51.0%
Decimal Number
ValueCountFrequency (%)
1 44
53.7%
2 11
 
13.4%
7 7
 
8.5%
3 6
 
7.3%
9 6
 
7.3%
0 3
 
3.7%
5 2
 
2.4%
4 2
 
2.4%
8 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
D 2
25.0%
C 1
12.5%
T 1
12.5%
S 1
12.5%
P 1
12.5%
Space Separator
ValueCountFrequency (%)
171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11510
94.3%
Common 684
 
5.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1539
 
13.4%
공 1453
 
12.6%
린 657
 
5.7%
이 533
 
4.6%
어 468
 
4.1%
구 224
 
1.9%
한 201
 
1.7%
근 195
 
1.7%
지 194
 
1.7%
시 180
 
1.6%
Other values (390) 5866
51.0%
Common
ValueCountFrequency (%)
171
25.0%
) 158
23.1%
( 158
23.1%
- 115
16.8%
1 44
 
6.4%
2 11
 
1.6%
7 7
 
1.0%
3 6
 
0.9%
9 6
 
0.9%
0 3
 
0.4%
Other values (3) 5
 
0.7%
Latin
ValueCountFrequency (%)
E 2
25.0%
D 2
25.0%
C 1
12.5%
T 1
12.5%
S 1
12.5%
P 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11510
94.3%
ASCII 692
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1539
 
13.4%
공 1453
 
12.6%
린 657
 
5.7%
이 533
 
4.6%
어 468
 
4.1%
구 224
 
1.9%
한 201
 
1.7%
근 195
 
1.7%
지 194
 
1.7%
시 180
 
1.6%
Other values (390) 5866
51.0%
ASCII
ValueCountFrequency (%)
171
24.7%
) 158
22.8%
( 158
22.8%
- 115
16.6%
1 44
 
6.4%
2 11
 
1.6%
7 7
 
1.0%
3 6
 
0.9%
9 6
 
0.9%
0 3
 
0.4%
Other values (9) 13
 
1.9%

지번주소 코드
Real number (ℝ)

MISSING  SKEWED 

Distinct712
Distinct (%)70.7%
Missing679
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean1.1493891 × 1018
Minimum1.1110103 × 1018
Maximum4.1450124 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T12:06:52.723959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110103 × 1018
5-th percentile1.1140162 × 1018
Q11.1230105 × 1018
median1.1440112 × 1018
Q31.1650102 × 1018
95-th percentile1.1740102 × 1018
Maximum4.1450124 × 1018
Range3.0340021 × 1018
Interquartile range (IQR)4.19997 × 1016

Descriptive statistics

Standard deviation1.3526147 × 1017
Coefficient of variation (CV)0.11768118
Kurtosis478.13564
Mean1.1493891 × 1018
Median Absolute Deviation (MAD)2.09995 × 1016
Skewness21.635958
Sum-4.7100598 × 1018
Variance1.8295665 × 1034
MonotonicityNot monotonic
2024-05-18T12:06:53.141499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1156011000100019968 24
 
1.4%
1171011100100879872 17
 
1.0%
1121510200100179968 15
 
0.9%
1144012700104870144 15
 
0.9%
1144012300102050048 13
 
0.8%
1174010700106370048 11
 
0.7%
1165010700101149952 9
 
0.5%
1120010600101040000 9
 
0.5%
1171010100100009984 8
 
0.5%
1165010600101210112 8
 
0.5%
Other values (702) 878
52.1%
(Missing) 679
40.3%
ValueCountFrequency (%)
1111010300100009984 1
0.1%
1111011500100009984 1
0.1%
1111011800101100032 1
0.1%
1111011900100009984 2
0.1%
1111013000100019968 1
0.1%
1111013100101650048 1
0.1%
1111013200101139968 1
0.1%
1111013800100380032 1
0.1%
1111014000200019968 2
0.1%
1111014300100780032 1
0.1%
ValueCountFrequency (%)
4145012400101740032 2
0.1%
1174010900105270016 1
 
0.1%
1174010900104839936 1
 
0.1%
1174010900103630080 1
 
0.1%
1174010900103600128 3
0.2%
1174010900103510016 1
 
0.1%
1174010900103379968 1
 
0.1%
1174010900103049984 1
 
0.1%
1174010900103000064 1
 
0.1%
1174010900102210048 1
 
0.1%

지번주소
Text

Distinct1389
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-05-18T12:06:54.083512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.836892
Min length15

Characters and Unicode

Total characters31759
Distinct characters194
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1248 ?
Unique (%)74.0%

Sample

1st row서울특별시 중구 서소문동 111-2
2nd row서울특별시 중구 정동 34-31
3rd row서울특별시 중구 순화동 216
4th row서울특별시 중구 정동 1-45
5th row서울특별시 중구 순화동 151
ValueCountFrequency (%)
서울특별시 1624
 
23.5%
산 152
 
2.2%
송파구 124
 
1.8%
마포구 99
 
1.4%
중랑구 81
 
1.2%
동작구 80
 
1.2%
영등포구 75
 
1.1%
강동구 71
 
1.0%
성동구 71
 
1.0%
서초구 70
 
1.0%
Other values (1559) 4449
64.5%
2024-05-18T12:06:55.491725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5210
16.4%
동 1976
 
6.2%
서 1828
 
5.8%
시 1703
 
5.4%
구 1693
 
5.3%
특 1624
 
5.1%
별 1624
 
5.1%
울 1624
 
5.1%
1 1340
 
4.2%
- 1206
 
3.8%
Other values (184) 11931
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18838
59.3%
Decimal Number 6505
 
20.5%
Space Separator 5210
 
16.4%
Dash Punctuation 1206
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1976
 
10.5%
서 1828
 
9.7%
시 1703
 
9.0%
구 1693
 
9.0%
특 1624
 
8.6%
별 1624
 
8.6%
울 1624
 
8.6%
산 284
 
1.5%
강 240
 
1.3%
천 230
 
1.2%
Other values (172) 6012
31.9%
Decimal Number
ValueCountFrequency (%)
1 1340
20.6%
2 906
13.9%
3 706
10.9%
4 643
9.9%
5 601
9.2%
6 504
 
7.7%
8 495
 
7.6%
7 482
 
7.4%
0 434
 
6.7%
9 394
 
6.1%
Space Separator
ValueCountFrequency (%)
5210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18838
59.3%
Common 12921
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1976
 
10.5%
서 1828
 
9.7%
시 1703
 
9.0%
구 1693
 
9.0%
특 1624
 
8.6%
별 1624
 
8.6%
울 1624
 
8.6%
산 284
 
1.5%
강 240
 
1.3%
천 230
 
1.2%
Other values (172) 6012
31.9%
Common
ValueCountFrequency (%)
5210
40.3%
1 1340
 
10.4%
- 1206
 
9.3%
2 906
 
7.0%
3 706
 
5.5%
4 643
 
5.0%
5 601
 
4.7%
6 504
 
3.9%
8 495
 
3.8%
7 482
 
3.7%
Other values (2) 828
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18838
59.3%
ASCII 12921
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5210
40.3%
1 1340
 
10.4%
- 1206
 
9.3%
2 906
 
7.0%
3 706
 
5.5%
4 643
 
5.0%
5 601
 
4.7%
6 504
 
3.9%
8 495
 
3.8%
7 482
 
3.7%
Other values (2) 828
 
6.4%
Hangul
ValueCountFrequency (%)
동 1976
 
10.5%
서 1828
 
9.7%
시 1703
 
9.0%
구 1693
 
9.0%
특 1624
 
8.6%
별 1624
 
8.6%
울 1624
 
8.6%
산 284
 
1.5%
강 240
 
1.3%
천 230
 
1.2%
Other values (172) 6012
31.9%

도로명주소 코드
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)51.7%
Missing1597
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.2153942 × 1021
Minimum1.111041 × 1021
Maximum4.129032 × 1021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T12:06:56.079971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111041 × 1021
5-th percentile1.115237 × 1021
Q11.1350413 × 1021
median1.1590312 × 1021
Q31.1590312 × 1021
95-th percentile1.1680417 × 1021
Maximum4.129032 × 1021
Range3.0179909 × 1021
Interquartile range (IQR)2.3989888 × 1019

Descriptive statistics

Standard deviation4.4456291 × 1020
Coefficient of variation (CV)0.36577673
Kurtosis41.787974
Mean1.2153942 × 1021
Median Absolute Deviation (MAD)9.0104723 × 1018
Skewness6.5411268
Sum1.0817008 × 1023
Variance1.9763618 × 1041
MonotonicityNot monotonic
2024-05-18T12:06:56.812382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1.159031190090021e+21 25
 
1.5%
1.16503121007001e+21 9
 
0.5%
1.144031130180024e+21 4
 
0.2%
1.1200300501100028e+21 3
 
0.2%
1.1470300001000712e+21 3
 
0.2%
4.1290319501200096e+21 2
 
0.1%
1.1650416358800034e+21 2
 
0.1%
1.1680416678200052e+21 2
 
0.1%
1.165041631980004e+21 2
 
0.1%
1.1620416081400044e+21 1
 
0.1%
Other values (36) 36
 
2.1%
(Missing) 1597
94.7%
ValueCountFrequency (%)
1.111041000200004e+21 1
 
0.1%
1.114031010060028e+21 1
 
0.1%
1.1140410302400372e+21 1
 
0.1%
1.1140410303300038e+21 1
 
0.1%
1.1140410306600002e+21 1
 
0.1%
1.1170310200400136e+21 1
 
0.1%
1.1200300501100028e+21 3
0.2%
1.1260411843700115e+21 1
 
0.1%
1.1290310700300248e+21 1
 
0.1%
1.1305412404700092e+21 1
 
0.1%
ValueCountFrequency (%)
4.1290319501200096e+21 2
 
0.1%
1.1740417234900066e+21 1
 
0.1%
1.1680416678200052e+21 2
 
0.1%
1.1680416624400022e+21 1
 
0.1%
1.1680416604000062e+21 1
 
0.1%
1.1650416358800034e+21 2
 
0.1%
1.165041631980004e+21 2
 
0.1%
1.16503121007001e+21 9
 
0.5%
1.1620416081400044e+21 1
 
0.1%
1.159031190090021e+21 25
1.5%

도로명주소
Text

MISSING 

Distinct1115
Distinct (%)83.8%
Missing355
Missing (%)21.1%
Memory size13.3 KiB
2024-05-18T12:06:57.767355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.204358
Min length15

Characters and Unicode

Total characters25561
Distinct characters266
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1012 ?
Unique (%)76.0%

Sample

1st row서울특별시 중구 세종대로 73
2nd row서울특별시 중구 서소문로11길 34
3rd row서울특별시 중구 서소문로 89-31
4th row서울특별시 중구 정동길 25
5th row서울특별시 중구 칠패로 27
ValueCountFrequency (%)
서울특별시 1325
 
24.9%
송파구 105
 
2.0%
마포구 77
 
1.4%
은평구 67
 
1.3%
관악구 66
 
1.2%
중랑구 64
 
1.2%
서대문구 62
 
1.2%
동작구 62
 
1.2%
노원구 62
 
1.2%
성동구 55
 
1.0%
Other values (1465) 3379
63.5%
2024-05-18T12:06:59.346419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3993
 
15.6%
서 1538
 
6.0%
구 1368
 
5.4%
시 1353
 
5.3%
울 1333
 
5.2%
특 1325
 
5.2%
별 1325
 
5.2%
로 1301
 
5.1%
1 1031
 
4.0%
길 848
 
3.3%
Other values (256) 10146
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16351
64.0%
Decimal Number 4910
 
19.2%
Space Separator 3993
 
15.6%
Dash Punctuation 307
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1538
 
9.4%
구 1368
 
8.4%
시 1353
 
8.3%
울 1333
 
8.2%
특 1325
 
8.1%
별 1325
 
8.1%
로 1301
 
8.0%
길 848
 
5.2%
동 318
 
1.9%
대 211
 
1.3%
Other values (244) 5431
33.2%
Decimal Number
ValueCountFrequency (%)
1 1031
21.0%
2 777
15.8%
3 545
11.1%
4 509
10.4%
5 403
 
8.2%
6 387
 
7.9%
7 365
 
7.4%
0 314
 
6.4%
8 314
 
6.4%
9 265
 
5.4%
Space Separator
ValueCountFrequency (%)
3993
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16351
64.0%
Common 9210
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1538
 
9.4%
구 1368
 
8.4%
시 1353
 
8.3%
울 1333
 
8.2%
특 1325
 
8.1%
별 1325
 
8.1%
로 1301
 
8.0%
길 848
 
5.2%
동 318
 
1.9%
대 211
 
1.3%
Other values (244) 5431
33.2%
Common
ValueCountFrequency (%)
3993
43.4%
1 1031
 
11.2%
2 777
 
8.4%
3 545
 
5.9%
4 509
 
5.5%
5 403
 
4.4%
6 387
 
4.2%
7 365
 
4.0%
0 314
 
3.4%
8 314
 
3.4%
Other values (2) 572
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16351
64.0%
ASCII 9210
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3993
43.4%
1 1031
 
11.2%
2 777
 
8.4%
3 545
 
5.9%
4 509
 
5.5%
5 403
 
4.4%
6 387
 
4.2%
7 365
 
4.0%
0 314
 
3.4%
8 314
 
3.4%
Other values (2) 572
 
6.2%
Hangul
ValueCountFrequency (%)
서 1538
 
9.4%
구 1368
 
8.4%
시 1353
 
8.3%
울 1333
 
8.2%
특 1325
 
8.1%
별 1325
 
8.1%
로 1301
 
8.0%
길 848
 
5.2%
동 318
 
1.9%
대 211
 
1.3%
Other values (244) 5431
33.2%

X좌표(LNG)
Real number (ℝ)

Distinct1593
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99742
Minimum126.81194
Maximum127.17443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T12:06:59.865244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.81194
5-th percentile126.85319
Q1126.92509
median127.01194
Q3127.06361
95-th percentile127.12827
Maximum127.17443
Range0.36248596
Interquartile range (IQR)0.13852618

Descriptive statistics

Standard deviation0.084904316
Coefficient of variation (CV)0.0006685515
Kurtosis-0.95191662
Mean126.99742
Median Absolute Deviation (MAD)0.0684028
Skewness-0.12495268
Sum214117.65
Variance0.0072087428
MonotonicityNot monotonic
2024-05-18T12:07:00.952687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9086111 7
 
0.4%
127.1169444 3
 
0.2%
126.9333333 3
 
0.2%
127.0430556 3
 
0.2%
126.8869444 3
 
0.2%
127.0119444 3
 
0.2%
126.8486111 3
 
0.2%
126.8536111 3
 
0.2%
127.1311111 3
 
0.2%
127.03525 3
 
0.2%
Other values (1583) 1652
98.0%
ValueCountFrequency (%)
126.8119444 1
0.1%
126.8141667 1
0.1%
126.8152778 1
0.1%
126.817416938 1
0.1%
126.818 1
0.1%
126.8188889 1
0.1%
126.819606729 1
0.1%
126.819803716 1
0.1%
126.8205556 1
0.1%
126.822466894 1
0.1%
ValueCountFrequency (%)
127.174430356 1
0.1%
127.1741667 1
0.1%
127.1738889 1
0.1%
127.171502371 1
0.1%
127.1697222 1
0.1%
127.16863113 1
0.1%
127.1661111 2
0.1%
127.165072121 1
0.1%
127.1644444 1
0.1%
127.1641667 1
0.1%

Y좌표(LAT)
Real number (ℝ)

Distinct1551
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.545361
Minimum37.417833
Maximum37.691644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2024-05-18T12:07:01.625973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.417833
5-th percentile37.459473
Q137.504711
median37.545797
Q337.580925
95-th percentile37.646459
Maximum37.691644
Range0.27381039
Interquartile range (IQR)0.076214293

Descriptive statistics

Standard deviation0.056122409
Coefficient of variation (CV)0.0014947894
Kurtosis-0.34623816
Mean37.545361
Median Absolute Deviation (MAD)0.038367883
Skewness0.1111105
Sum63301.478
Variance0.0031497248
MonotonicityNot monotonic
2024-05-18T12:07:02.133693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.52722222 6
 
0.4%
37.46861111 5
 
0.3%
37.55111111 5
 
0.3%
37.55194444 5
 
0.3%
37.54388889 4
 
0.2%
37.50805556 4
 
0.2%
37.5125 4
 
0.2%
37.56022222 3
 
0.2%
37.65361111 3
 
0.2%
37.52111111 3
 
0.2%
Other values (1541) 1644
97.5%
ValueCountFrequency (%)
37.41783333 1
0.1%
37.41816667 1
0.1%
37.41930556 1
0.1%
37.419379534 1
0.1%
37.420610592 1
0.1%
37.420874457 1
0.1%
37.420901002 1
0.1%
37.42205556 1
0.1%
37.42219444 1
0.1%
37.422523193 1
0.1%
ValueCountFrequency (%)
37.691643718 1
0.1%
37.691535692 1
0.1%
37.689454854 1
0.1%
37.68919444 1
0.1%
37.688992224 1
0.1%
37.688909387 1
0.1%
37.685579159 1
0.1%
37.68386111 1
0.1%
37.681514286 1
0.1%
37.68066667 1
0.1%

컨텐츠상세필드명1
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
공원명
1617 
상세위치
 
31
공원
 
20
상세주소
 
9
개미어린이공원
 
1
Other values (8)
 
8

Length

Max length10
Median length3
Mean length3.0308422
Min length2

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st row공원명
2nd row공원명
3rd row상세위치
4th row공원명
5th row공원명

Common Values

ValueCountFrequency (%)
공원명 1617
95.9%
상세위치 31
 
1.8%
공원 20
 
1.2%
상세주소 9
 
0.5%
개미어린이공원 1
 
0.1%
<NA> 1
 
0.1%
청솔어린이공원 1
 
0.1%
꿈동산어린이공원 1
 
0.1%
양천구-신오근린공원 1
 
0.1%
종달새어린이공원 1
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-05-18T12:07:02.693964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공원명 1617
95.9%
상세위치 31
 
1.8%
공원 20
 
1.2%
상세주소 9
 
0.5%
개미어린이공원 1
 
0.1%
na 1
 
0.1%
청솔어린이공원 1
 
0.1%
꿈동산어린이공원 1
 
0.1%
양천구-신오근린공원 1
 
0.1%
종달새어린이공원 1
 
0.1%
Other values (3) 3
 
0.2%

컨텐츠상세명11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세필드명20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

컨텐츠상세명20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1686
Missing (%)100.0%
Memory size14.9 KiB

Sample

컨텐츠 아이디공원 명지번주소 코드지번주소도로명주소 코드도로명주소X좌표(LNG)Y좌표(LAT)컨텐츠상세필드명1컨텐츠상세명11컨텐츠상세필드명12컨텐츠상세명12컨텐츠상세필드명13컨텐츠상세명13컨텐츠상세필드명14컨텐츠상세명14컨텐츠상세필드명15컨텐츠상세명15컨텐츠상세필드명16컨텐츠상세명16컨텐츠상세필드명17컨텐츠상세명17컨텐츠상세필드명18컨텐츠상세명18컨텐츠상세필드명19컨텐츠상세명19컨텐츠상세필드명20컨텐츠상세명20
0중구-서소문구역제5지구소공원-1서소문구역제5지구소공원1114016600101159936서울특별시 중구 서소문동 111-2<NA>서울특별시 중구 세종대로 73126.9756237.562935공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1중구-배채어린이공원-1배재어린이공원1114016700100339968서울특별시 중구 정동 34-31<NA>서울특별시 중구 서소문로11길 34126.97277837.564306공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2중구-순화어린이공원중구-순화어린이공원<NA>서울특별시 중구 순화동 216<NA>서울특별시 중구 서소문로 89-31126.97128537.563439상세위치<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3중구-정동 근린공원-1정동 근린공원1114016700100150016서울특별시 중구 정동 1-45<NA>서울특별시 중구 정동길 25126.97166737.567361공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4중구-순화문화공원-1순화문화공원1114016800102160000서울특별시 중구 순화동 151<NA>서울특별시 중구 칠패로 27126.97155637.560417공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5중구-서울로 7017-2서울로 70171114011800100840064서울특별시 중구 남대문로5가 84-17<NA>서울특별시 중구 퇴계로 15126.974537.556778공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6종로구-내수2근린공원-1내수2근린공원1111013100101650048서울특별시 종로구 내수동 110-50<NA>서울특별시 종로구 경희궁2길 8-3126.97152437.572464공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7중구-서울로 7017-3서울로 70171114012000101219968서울특별시 중구 봉래동2가 122<NA>서울특별시 중구 청파로 426126.969537.55675공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8중부녹지-남산공원(회현자락)-3남산공원(회현자락)1114012100101000192서울특별시 중구 회현동1가 산 1-2<NA>서울특별시 중구 소파로 46126.97891737.555361공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9종로구-내수1근린공원-1내수1근린공원1111011800101100032서울특별시 종로구 내수동 110-8<NA>서울특별시 종로구 경희궁2길 5-6126.97094437.573528공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
컨텐츠 아이디공원 명지번주소 코드지번주소도로명주소 코드도로명주소X좌표(LNG)Y좌표(LAT)컨텐츠상세필드명1컨텐츠상세명11컨텐츠상세필드명12컨텐츠상세명12컨텐츠상세필드명13컨텐츠상세명13컨텐츠상세필드명14컨텐츠상세명14컨텐츠상세필드명15컨텐츠상세명15컨텐츠상세필드명16컨텐츠상세명16컨텐츠상세필드명17컨텐츠상세명17컨텐츠상세필드명18컨텐츠상세명18컨텐츠상세필드명19컨텐츠상세명19컨텐츠상세필드명20컨텐츠상세명20
1676강동구-동명공원-3동명공원1174010200102149888서울특별시 강동구 고덕동 215<NA>서울특별시 강동구 고덕로83길 55127.16611137.559167공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1677강동구-동명공원-4동명공원1174010200102289920서울특별시 강동구 고덕동 215<NA>서울특별시 강동구 고덕로83길 55127.16863137.560151공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1678송파구-천마공원-1천마공원<NA>서울특별시 송파구 마천동 582<NA>서울특별시 송파구 성내천로37길 37127.15833337.500278공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1679강동구-말우물어린이공원-1말우물어린이공원1174010200101779968서울특별시 강동구 고덕동 179-4<NA>서울특별시 강동구 상일로21길 14-8127.16972237.56공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1680송파구-천마공원-2천마공원<NA>서울특별시 송파구 마천동 산 2<NA>서울특별시 송파구 성내천로35길 53127.16055637.5공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1681송파구-천상어린이공원-1천상어린이공원1171011400106099968서울특별시 송파구 마천동 605<NA>서울특별시 송파구 성내천로47길 22127.15861137.493889공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1682강동구-게내수변공원-1게내수변공원<NA>서울특별시 강동구 고덕동 201-4<NA>서울특별시 강동구 상일로 125127.17150237.557993공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1683강동구-능골근린공원-1능골근린공원<NA>서울특별시 강동구 상일동 536<NA><NA>127.1744337.556417공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1684광암정수-광암정수장-1광암정수장4145012400101740032경기도 하남시 광암동 378<NA>경기도 하남시 서하남로 293127.17388937.519722공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1685광암정수-광암정수장-2광암정수장4145012400101740032경기도 하남시 광암동 202<NA>경기도 하남시 서하남로 293127.17416737.519167공원명<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>