Overview

Dataset statistics

Number of variables6
Number of observations429
Missing cells4
Missing cells (%)0.2%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory21.1 KiB
Average record size in memory50.3 B

Variable types

Text2
Numeric2
Categorical2

Dataset

Description전북특별자치도 장수군 전체의 장수군 읍면(장수읍, 산서면, 번암면, 장계면, 천천면, 계남면, 계북면)별 세부 빈집 현황(주소)에 대한 세부 주소 데이터를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15040015/fileData.do

Alerts

담당부서 has constant value ""Constant
담당자 전화번호 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation

Reproduction

Analysis started2024-04-06 08:16:53.074740
Analysis finished2024-04-06 08:16:54.591250
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로명주소
Text

Distinct423
Distinct (%)99.5%
Missing4
Missing (%)0.9%
Memory size3.5 KiB
2024-04-06T17:16:55.184106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length24.049412
Min length21

Characters and Unicode

Total characters10221
Distinct characters172
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

Unique421 ?
Unique (%)99.1%

Sample

1st row전북특별자치도 장수군 장수읍 아건너길 3-4
2nd row전북특별자치도 장수군 장수읍 호비로 3-4
3rd row전북특별자치도 장수군 장수읍 방촌길 23
4th row전북특별자치도 장수군 장수읍 방촌길 25-1
5th row전북특별자치도 장수군 장수읍 준비취락길 14-1
ValueCountFrequency (%)
전북특별자치도 425
20.0%
장수군 425
20.0%
장수읍 84
 
4.0%
산서면 79
 
3.7%
장계면 64
 
3.0%
천천면 61
 
2.9%
계북면 51
 
2.4%
계남면 46
 
2.2%
번암면 40
 
1.9%
장수로 8
 
0.4%
Other values (553) 842
39.6%
2024-04-06T17:16:56.597903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1700
 
16.6%
장 613
 
6.0%
수 522
 
5.1%
북 479
 
4.7%
도 434
 
4.2%
전 433
 
4.2%
치 429
 
4.2%
자 426
 
4.2%
별 425
 
4.2%
군 425
 
4.2%
Other values (162) 4335
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6971
68.2%
Space Separator 1700
 
16.6%
Decimal Number 1276
 
12.5%
Dash Punctuation 274
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 613
 
8.8%
수 522
 
7.5%
북 479
 
6.9%
도 434
 
6.2%
전 433
 
6.2%
치 429
 
6.2%
자 426
 
6.1%
별 425
 
6.1%
군 425
 
6.1%
특 425
 
6.1%
Other values (150) 2360
33.9%
Decimal Number
ValueCountFrequency (%)
1 287
22.5%
2 169
13.2%
3 148
11.6%
5 134
10.5%
4 114
 
8.9%
6 99
 
7.8%
7 99
 
7.8%
9 80
 
6.3%
8 78
 
6.1%
0 68
 
5.3%
Space Separator
ValueCountFrequency (%)
1700
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6971
68.2%
Common 3250
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 613
 
8.8%
수 522
 
7.5%
북 479
 
6.9%
도 434
 
6.2%
전 433
 
6.2%
치 429
 
6.2%
자 426
 
6.1%
별 425
 
6.1%
군 425
 
6.1%
특 425
 
6.1%
Other values (150) 2360
33.9%
Common
ValueCountFrequency (%)
1700
52.3%
1 287
 
8.8%
- 274
 
8.4%
2 169
 
5.2%
3 148
 
4.6%
5 134
 
4.1%
4 114
 
3.5%
6 99
 
3.0%
7 99
 
3.0%
9 80
 
2.5%
Other values (2) 146
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6971
68.2%
ASCII 3250
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1700
52.3%
1 287
 
8.8%
- 274
 
8.4%
2 169
 
5.2%
3 148
 
4.6%
5 134
 
4.1%
4 114
 
3.5%
6 99
 
3.0%
7 99
 
3.0%
9 80
 
2.5%
Other values (2) 146
 
4.5%
Hangul
ValueCountFrequency (%)
장 613
 
8.8%
수 522
 
7.5%
북 479
 
6.9%
도 434
 
6.2%
전 433
 
6.2%
치 429
 
6.2%
자 426
 
6.1%
별 425
 
6.1%
군 425
 
6.1%
특 425
 
6.1%
Other values (150) 2360
33.9%

지번주소
Text

Distinct428
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-06T17:16:57.096579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length24.386946
Min length21

Characters and Unicode

Total characters10462
Distinct characters101
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

Unique427 ?
Unique (%)99.5%

Sample

1st row전북특별자치도 장수군 장수읍 장수리 96-6
2nd row전북특별자치도 장수군 장수읍 장수리 150-2
3rd row전북특별자치도 장수군 장수읍 장수리 287
4th row전북특별자치도 장수군 장수읍 장수리 289
5th row전북특별자치도 장수군 장수읍 장수리 302-25
ValueCountFrequency (%)
전북특별자치도 429
19.9%
장수군 429
19.9%
장수읍 84
 
3.9%
산서면 80
 
3.7%
장계면 64
 
3.0%
천천면 61
 
2.8%
계북면 51
 
2.4%
계남면 47
 
2.2%
번암면 42
 
2.0%
송천리 16
 
0.7%
Other values (473) 849
39.5%
2024-04-06T17:16:57.855690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1727
 
16.5%
장 610
 
5.8%
수 529
 
5.1%
북 480
 
4.6%
전 450
 
4.3%
치 429
 
4.1%
도 429
 
4.1%
자 429
 
4.1%
별 429
 
4.1%
군 429
 
4.1%
Other values (91) 4521
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6871
65.7%
Space Separator 1727
 
16.5%
Decimal Number 1594
 
15.2%
Dash Punctuation 270
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 610
 
8.9%
수 529
 
7.7%
북 480
 
7.0%
전 450
 
6.5%
치 429
 
6.2%
도 429
 
6.2%
자 429
 
6.2%
별 429
 
6.2%
군 429
 
6.2%
특 429
 
6.2%
Other values (79) 2228
32.4%
Decimal Number
ValueCountFrequency (%)
1 377
23.7%
2 158
9.9%
3 155
9.7%
6 151
9.5%
7 143
 
9.0%
5 139
 
8.7%
4 128
 
8.0%
8 124
 
7.8%
0 116
 
7.3%
9 103
 
6.5%
Space Separator
ValueCountFrequency (%)
1727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6871
65.7%
Common 3591
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 610
 
8.9%
수 529
 
7.7%
북 480
 
7.0%
전 450
 
6.5%
치 429
 
6.2%
도 429
 
6.2%
자 429
 
6.2%
별 429
 
6.2%
군 429
 
6.2%
특 429
 
6.2%
Other values (79) 2228
32.4%
Common
ValueCountFrequency (%)
1727
48.1%
1 377
 
10.5%
- 270
 
7.5%
2 158
 
4.4%
3 155
 
4.3%
6 151
 
4.2%
7 143
 
4.0%
5 139
 
3.9%
4 128
 
3.6%
8 124
 
3.5%
Other values (2) 219
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6871
65.7%
ASCII 3591
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1727
48.1%
1 377
 
10.5%
- 270
 
7.5%
2 158
 
4.4%
3 155
 
4.3%
6 151
 
4.2%
7 143
 
4.0%
5 139
 
3.9%
4 128
 
3.6%
8 124
 
3.5%
Other values (2) 219
 
6.1%
Hangul
ValueCountFrequency (%)
장 610
 
8.9%
수 529
 
7.7%
북 480
 
7.0%
전 450
 
6.5%
치 429
 
6.2%
도 429
 
6.2%
자 429
 
6.2%
별 429
 
6.2%
군 429
 
6.2%
특 429
 
6.2%
Other values (79) 2228
32.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct427
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.668221
Minimum35.475893
Maximum35.838632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-06T17:16:58.491804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.475893
5-th percentile35.534355
Q135.589545
median35.683784
Q335.732811
95-th percentile35.799289
Maximum35.838632
Range0.36273905
Interquartile range (IQR)0.14326597

Descriptive statistics

Standard deviation0.084326395
Coefficient of variation (CV)0.0023641884
Kurtosis-1.0211287
Mean35.668221
Median Absolute Deviation (MAD)0.064953483
Skewness-0.15778747
Sum15301.667
Variance0.0071109408
MonotonicityNot monotonic
2024-04-06T17:16:58.807070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.597278099 2
 
0.5%
35.7028501746 2
 
0.5%
35.6462771746 1
 
0.2%
35.7163089866 1
 
0.2%
35.7313254799 1
 
0.2%
35.7348608129 1
 
0.2%
35.7233276243 1
 
0.2%
35.7207740732 1
 
0.2%
35.720552923 1
 
0.2%
35.7129103524 1
 
0.2%
Other values (417) 417
97.2%
ValueCountFrequency (%)
35.4758931443 1
0.2%
35.4769648772 1
0.2%
35.4772004703 1
0.2%
35.4932047159 1
0.2%
35.4933973863 1
0.2%
35.5025057301 1
0.2%
35.5034432346 1
0.2%
35.5036269456 1
0.2%
35.5038117753 1
0.2%
35.5046050311 1
0.2%
ValueCountFrequency (%)
35.838632197 1
0.2%
35.8116924577 1
0.2%
35.8113195468 1
0.2%
35.8112406783 1
0.2%
35.8110351709 1
0.2%
35.8075452748 1
0.2%
35.8073647475 1
0.2%
35.8067170139 1
0.2%
35.8067138057 1
0.2%
35.8063647897 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct427
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.52909
Minimum127.36956
Maximum127.64487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-04-06T17:16:59.210148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.36956
5-th percentile127.39251
Q1127.49646
median127.53438
Q3127.5873
95-th percentile127.63204
Maximum127.64487
Range0.27530536
Interquartile range (IQR)0.090841046

Descriptive statistics

Standard deviation0.073244098
Coefficient of variation (CV)0.00057433248
Kurtosis-0.68275617
Mean127.52909
Median Absolute Deviation (MAD)0.050259687
Skewness-0.50970881
Sum54709.979
Variance0.0053646979
MonotonicityNot monotonic
2024-04-06T17:16:59.632693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4040149324 2
 
0.5%
127.5235565967 2
 
0.5%
127.5232609985 1
 
0.2%
127.5184477235 1
 
0.2%
127.5240023226 1
 
0.2%
127.5285666486 1
 
0.2%
127.5181027155 1
 
0.2%
127.5309230363 1
 
0.2%
127.533140575 1
 
0.2%
127.5125478581 1
 
0.2%
Other values (417) 417
97.2%
ValueCountFrequency (%)
127.3695608091 1
0.2%
127.3727676524 1
0.2%
127.3758850843 1
0.2%
127.3772128874 1
0.2%
127.3773461151 1
0.2%
127.3779078245 1
0.2%
127.3784956273 1
0.2%
127.3836440603 1
0.2%
127.3837669 1
0.2%
127.3850357882 1
0.2%
ValueCountFrequency (%)
127.6448661667 1
0.2%
127.6447025058 1
0.2%
127.6388945553 1
0.2%
127.6384062478 1
0.2%
127.6383675483 1
0.2%
127.6379694374 1
0.2%
127.6376792241 1
0.2%
127.6375805965 1
0.2%
127.637460952 1
0.2%
127.6374009463 1
0.2%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
민원과
429 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민원과 429
100.0%

Length

2024-04-06T17:16:59.928679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:00.127190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민원과 429
100.0%

담당자 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
063-350-2287
429 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row063-350-2287
2nd row063-350-2287
3rd row063-350-2287
4th row063-350-2287
5th row063-350-2287

Common Values

ValueCountFrequency (%)
063-350-2287 429
100.0%

Length

2024-04-06T17:17:00.355432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:17:00.558189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
063-350-2287 429
100.0%

Interactions

2024-04-06T17:16:53.865289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:53.477859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:54.059139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:53.680575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:17:00.687682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.839
경도0.8391.000
2024-04-06T17:17:00.858145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.739
경도0.7391.000

Missing values

2024-04-06T17:16:54.285929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:16:54.506440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

도로명주소지번주소위도경도담당부서담당자 전화번호
0전북특별자치도 장수군 장수읍 아건너길 3-4전북특별자치도 장수군 장수읍 장수리 96-635.646277127.523261민원과063-350-2287
1전북특별자치도 장수군 장수읍 호비로 3-4전북특별자치도 장수군 장수읍 장수리 150-235.646525127.520651민원과063-350-2287
2전북특별자치도 장수군 장수읍 방촌길 23전북특별자치도 장수군 장수읍 장수리 28735.648152127.520079민원과063-350-2287
3전북특별자치도 장수군 장수읍 방촌길 25-1전북특별자치도 장수군 장수읍 장수리 28935.648217127.519979민원과063-350-2287
4전북특별자치도 장수군 장수읍 준비취락길 14-1전북특별자치도 장수군 장수읍 장수리 302-2535.650264127.520676민원과063-350-2287
5전북특별자치도 장수군 장수읍 호비로 48-7전북특별자치도 장수군 장수읍 장수리 311-1335.650136127.521752민원과063-350-2287
6전북특별자치도 장수군 장수읍 호비로 60-5전북특별자치도 장수군 장수읍 장수리 313-535.651583127.521363민원과063-350-2287
7전북특별자치도 장수군 장수읍 하비길 6-3전북특별자치도 장수군 장수읍 장수리 549-235.646029127.516253민원과063-350-2287
8전북특별자치도 장수군 장수읍 하비길 10-4전북특별자치도 장수군 장수읍 장수리 550-435.645964127.51612민원과063-350-2287
9전북특별자치도 장수군 장수읍 송천로 155전북특별자치도 장수군 장수읍 장수리 560-335.646232127.517401민원과063-350-2287
도로명주소지번주소위도경도담당부서담당자 전화번호
419전북특별자치도 장수군 계북면 원촌길 2전북특별자치도 장수군 계북면 원촌리 1257-135.811035127.630258민원과063-350-2287
420전북특별자치도 장수군 계북면 장무로 1337전북특별자치도 장수군 계북면 원촌리 1258-1235.81132127.630011민원과063-350-2287
421전북특별자치도 장수군 계북면 장무로 1341-7전북특별자치도 장수군 계북면 원촌리 1259-135.811692127.629741민원과063-350-2287
422전북특별자치도 장수군 계북면 계향로 330-8전북특별자치도 장수군 계북면 원촌리 1771-135.838632127.618309민원과063-350-2287
423전북특별자치도 장수군 계북면 건재길 1-12전북특별자치도 장수군 계북면 양악리 164-135.806365127.637581민원과063-350-2287
424전북특별자치도 장수군 계북면 건재길 28-8전북특별자치도 장수군 계북면 양악리 170-235.806714127.638895민원과063-350-2287
425전북특별자치도 장수군 계북면 건재길 10전북특별자치도 장수군 계북면 양악리 17535.806059127.638368민원과063-350-2287
426전북특별자치도 장수군 계북면 건재길 19전북특별자치도 장수군 계북면 양악리 201-335.806717127.637679민원과063-350-2287
427전북특별자치도 장수군 계북면 양악길 87-6전북특별자치도 장수군 계북면 양악리 837-235.807545127.636469민원과063-350-2287
428전북특별자치도 장수군 계북면 양악길 87전북특별자치도 장수군 계북면 양악리 837-735.807365127.636266민원과063-350-2287

Duplicate rows

Most frequently occurring

도로명주소지번주소위도경도담당부서담당자 전화번호# duplicates
0전북특별자치도 장수군 천천면 박실아랫담길 10-10전북특별자치도 장수군 천천면 월곡리 568-1135.70285127.523557민원과063-350-22872