Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory57.0 B

Variable types

Numeric3
Text2
DateTime1

Dataset

Description서울특별시 강남구 동주민센터 현황에 대한 데이터입니다. 동주민센터의 주소, 위도, 경도 등의 소재지 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15116896/fileData.do

Alerts

기준일자 has constant value ""Constant
연번 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
주민센터명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:17:49.384961
Analysis finished2023-12-12 13:17:50.448125
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:17:50.499067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T22:17:50.597991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

주민센터명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:17:50.776886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8181818
Min length3

Characters and Unicode

Total characters84
Distinct characters29
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row신사동
2nd row논현1동
3rd row논현2동
4th row압구정동
5th row청담동
ValueCountFrequency (%)
신사동 1
 
4.5%
논현1동 1
 
4.5%
수서동 1
 
4.5%
일원1동 1
 
4.5%
일원본동 1
 
4.5%
개포4동 1
 
4.5%
개포3동 1
 
4.5%
개포2동 1
 
4.5%
개포1동 1
 
4.5%
도곡2동 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T22:17:51.389871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
26.2%
1 7
 
8.3%
2 6
 
7.1%
개 4
 
4.8%
포 4
 
4.8%
삼 4
 
4.8%
곡 3
 
3.6%
치 3
 
3.6%
대 3
 
3.6%
일 2
 
2.4%
Other values (19) 26
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
81.0%
Decimal Number 16
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
32.4%
개 4
 
5.9%
포 4
 
5.9%
삼 4
 
5.9%
곡 3
 
4.4%
치 3
 
4.4%
대 3
 
4.4%
일 2
 
2.9%
성 2
 
2.9%
현 2
 
2.9%
Other values (15) 19
27.9%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
4 2
 
12.5%
3 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
81.0%
Common 16
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
32.4%
개 4
 
5.9%
포 4
 
5.9%
삼 4
 
5.9%
곡 3
 
4.4%
치 3
 
4.4%
대 3
 
4.4%
일 2
 
2.9%
성 2
 
2.9%
현 2
 
2.9%
Other values (15) 19
27.9%
Common
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
4 2
 
12.5%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
81.0%
ASCII 16
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
32.4%
개 4
 
5.9%
포 4
 
5.9%
삼 4
 
5.9%
곡 3
 
4.4%
치 3
 
4.4%
대 3
 
4.4%
일 2
 
2.9%
성 2
 
2.9%
현 2
 
2.9%
Other values (15) 19
27.9%
ASCII
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
4 2
 
12.5%
3 1
 
6.2%

소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:17:51.609817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.954545
Min length17

Characters and Unicode

Total characters417
Distinct characters46
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 압구정로 128
2nd row서울특별시 강남구 학동로20길 25
3rd row서울특별시 강남구 학동로43길 17
4th row서울특별시 강남구 압구정로33길 48
5th row서울특별시 강남구 압구정로79길 26
ValueCountFrequency (%)
서울특별시 22
25.0%
강남구 22
25.0%
개포로 3
 
3.4%
봉은사로 2
 
2.3%
25 2
 
2.3%
광평로 2
 
2.3%
도곡로18길 1
 
1.1%
57 1
 
1.1%
남부순환로378길 1
 
1.1%
34-9 1
 
1.1%
Other values (31) 31
35.2%
2023-12-12T22:17:52.005478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
15.8%
구 25
 
6.0%
남 24
 
5.8%
서 22
 
5.3%
특 22
 
5.3%
별 22
 
5.3%
시 22
 
5.3%
강 22
 
5.3%
울 22
 
5.3%
로 22
 
5.3%
Other values (36) 148
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
64.0%
Decimal Number 82
 
19.7%
Space Separator 66
 
15.8%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 25
9.4%
남 24
9.0%
서 22
8.2%
특 22
8.2%
별 22
8.2%
시 22
8.2%
강 22
8.2%
울 22
8.2%
로 22
8.2%
길 13
 
4.9%
Other values (24) 51
19.1%
Decimal Number
ValueCountFrequency (%)
1 13
15.9%
3 13
15.9%
2 10
12.2%
4 9
11.0%
6 8
9.8%
7 8
9.8%
5 7
8.5%
9 5
 
6.1%
8 5
 
6.1%
0 4
 
4.9%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
64.0%
Common 150
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 25
9.4%
남 24
9.0%
서 22
8.2%
특 22
8.2%
별 22
8.2%
시 22
8.2%
강 22
8.2%
울 22
8.2%
로 22
8.2%
길 13
 
4.9%
Other values (24) 51
19.1%
Common
ValueCountFrequency (%)
66
44.0%
1 13
 
8.7%
3 13
 
8.7%
2 10
 
6.7%
4 9
 
6.0%
6 8
 
5.3%
7 8
 
5.3%
5 7
 
4.7%
9 5
 
3.3%
8 5
 
3.3%
Other values (2) 6
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
64.0%
ASCII 150
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
44.0%
1 13
 
8.7%
3 13
 
8.7%
2 10
 
6.7%
4 9
 
6.0%
6 8
 
5.3%
7 8
 
5.3%
5 7
 
4.7%
9 5
 
3.3%
8 5
 
3.3%
Other values (2) 6
 
4.0%
Hangul
ValueCountFrequency (%)
구 25
9.4%
남 24
9.0%
서 22
8.2%
특 22
8.2%
별 22
8.2%
시 22
8.2%
강 22
8.2%
울 22
8.2%
로 22
8.2%
길 13
 
4.9%
Other values (24) 51
19.1%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.498556
Minimum37.469049
Maximum37.530617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:17:52.162597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.469049
5-th percentile37.477447
Q137.488459
median37.494309
Q337.51143
95-th percentile37.525036
Maximum37.530617
Range0.06156798
Interquartile range (IQR)0.022971167

Descriptive statistics

Standard deviation0.016533768
Coefficient of variation (CV)0.00044091745
Kurtosis-0.62744024
Mean37.498556
Median Absolute Deviation (MAD)0.01075794
Skewness0.38912109
Sum824.96824
Variance0.00027336547
MonotonicityNot monotonic
2023-12-12T22:17:52.282643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.52397448 1
 
4.5%
37.4883103 1
 
4.5%
37.46904926 1
 
4.5%
37.4889031 1
 
4.5%
37.49185469 1
 
4.5%
37.48337906 1
 
4.5%
37.47714039 1
 
4.5%
37.49215148 1
 
4.5%
37.48978362 1
 
4.5%
37.48328034 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.46904926 1
4.5%
37.47714039 1
4.5%
37.48328034 1
4.5%
37.48337906 1
4.5%
37.48372308 1
4.5%
37.4883103 1
4.5%
37.4889031 1
4.5%
37.48978362 1
4.5%
37.49185469 1
4.5%
37.49215148 1
4.5%
ValueCountFrequency (%)
37.53061724 1
4.5%
37.52509211 1
4.5%
37.52397448 1
4.5%
37.51728313 1
4.5%
37.51435594 1
4.5%
37.5115038 1
4.5%
37.51120727 1
4.5%
37.50230433 1
4.5%
37.49972974 1
4.5%
37.49597383 1
4.5%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05703
Minimum127.0228
Maximum127.10691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:17:52.440121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0228
5-th percentile127.02864
Q1127.04065
median127.05207
Q3127.06785
95-th percentile127.10414
Maximum127.10691
Range0.0841161
Interquartile range (IQR)0.0272

Descriptive statistics

Standard deviation0.023449503
Coefficient of variation (CV)0.00018455889
Kurtosis-0.041209593
Mean127.05703
Median Absolute Deviation (MAD)0.0140286
Skewness0.74568633
Sum2795.2546
Variance0.0005498792
MonotonicityNot monotonic
2023-12-12T22:17:52.562464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.0227964 1
 
4.5%
127.0388804 1
 
4.5%
127.1069125 1
 
4.5%
127.1049911 1
 
4.5%
127.0880264 1
 
4.5%
127.0864829 1
 
4.5%
127.0497487 1
 
4.5%
127.0736788 1
 
4.5%
127.0690768 1
 
4.5%
127.0543931 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
127.0227964 1
4.5%
127.0285345 1
4.5%
127.0306522 1
4.5%
127.0332838 1
4.5%
127.0372042 1
4.5%
127.0388804 1
4.5%
127.0459769 1
4.5%
127.046407 1
4.5%
127.046815 1
4.5%
127.0492911 1
4.5%
ValueCountFrequency (%)
127.1069125 1
4.5%
127.1049911 1
4.5%
127.0880264 1
4.5%
127.0864829 1
4.5%
127.0736788 1
4.5%
127.0690768 1
4.5%
127.0641877 1
4.5%
127.0626072 1
4.5%
127.0578495 1
4.5%
127.056775 1
4.5%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-07-19 00:00:00
Maximum2023-07-19 00:00:00
2023-12-12T22:17:52.668015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:52.765970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:17:50.056244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.572885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.815729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:50.123801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.667636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.897671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:50.215042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.742867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:17:49.975373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:17:52.836594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주민센터명소재지위도경도
연번1.0001.0001.0000.8870.644
주민센터명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
위도0.8871.0001.0001.0000.000
경도0.6441.0001.0000.0001.000
2023-12-12T22:17:52.931990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.8840.772
위도-0.8841.000-0.546
경도0.772-0.5461.000

Missing values

2023-12-12T22:17:50.314622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:17:50.413141image/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

연번주민센터명소재지위도경도기준일자
01신사동서울특별시 강남구 압구정로 12837.523974127.0227962023-07-19
12논현1동서울특별시 강남구 학동로20길 2537.511504127.0285352023-07-19
23논현2동서울특별시 강남구 학동로43길 1737.517283127.0372042023-07-19
34압구정동서울특별시 강남구 압구정로33길 4837.530617127.0306522023-07-19
45청담동서울특별시 강남구 압구정로79길 2637.525092127.0492912023-07-19
56삼성1동서울특별시 강남구 봉은사로 61637.514356127.0626072023-07-19
67삼성2동서울특별시 강남구 봉은사로 41937.511207127.0459772023-07-19
78대치1동서울특별시 강남구 남부순환로391길 1937.493245127.0567752023-07-19
89대치2동서울특별시 강남구 영동대로65길 2437.502304127.0641882023-07-19
910대치4동서울특별시 강남구 도곡로77길 2337.49973127.057852023-07-19
연번주민센터명소재지위도경도기준일자
1213도곡1동서울특별시 강남구 도곡로18길 5737.48831127.038882023-07-19
1314도곡2동서울특별시 강남구 남부순환로378길 34-937.483723127.0464072023-07-19
1415개포1동서울특별시 강남구 개포로 30337.48328127.0543932023-07-19
1516개포2동서울특별시 강남구 개포로 51137.489784127.0690772023-07-19
1617개포3동서울특별시 강남구 개포로 60737.492151127.0736792023-07-19
1718개포4동서울특별시 강남구 개포로24길 3337.47714127.0497492023-07-19
1819일원본동서울특별시 강남구 광평로 12637.483379127.0864832023-07-19
1920일원1동서울특별시 강남구 양재대로55길 1437.491855127.0880262023-07-19
2021수서동서울특별시 강남구 광평로 301-437.488903127.1049912023-07-19
2122세곡동서울특별시 강남구 밤고개로 28637.469049127.1069132023-07-19