Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory88.0 B

Variable types

Numeric2
Categorical4
Text3
DateTime1

Dataset

Description경기도 성남시 분당구 행정복지센터에 현황에 대한 데이터로 읍면동, 우편번호, 주소, 전화번호, 관할구, 구연락처 등 항목을 제공하고 있습니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15093649/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
관할구 has constant value ""Constant
구연락처 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
읍면동 has unique valuesUnique
우편번호 has unique valuesUnique
주 소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:58:37.133088
Analysis finished2023-12-12 07:58:38.224844
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

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
2023-12-12T16:58:38.298295image/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
2023-12-12T16:58:38.434373image/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%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
성남시
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 22
100.0%

Length

2023-12-12T16:58:38.585893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:38.719928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남시 22
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
분당구
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 22
100.0%

Length

2023-12-12T16:58:38.833650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:38.940968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 22
100.0%

읍면동
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T16:58:39.167324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.6818182
Min length7

Characters and Unicode

Total characters169
Distinct characters32
Distinct categories3 ?
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 row분당동주민센터
2nd row수내1동주민센터
3rd row수내2동주민센터
4th row수내3동주민센터
5th row정자동주민센터
ValueCountFrequency (%)
분당동주민센터 1
 
4.3%
야탑1동주민센터 1
 
4.3%
백현동주민센터 1
 
4.3%
삼평동주민센터 1
 
4.3%
판교동주민센터 1
 
4.3%
구미1동주민센터 1
 
4.3%
구미동주민센터 1
 
4.3%
금곡동주민센터 1
 
4.3%
주민센터 1
 
4.3%
야탑3동 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T16:58:39.628968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
13.0%
주 22
13.0%
민 22
13.0%
센 22
13.0%
터 22
13.0%
1 6
 
3.6%
2 5
 
3.0%
정 4
 
2.4%
자 4
 
2.4%
현 3
 
1.8%
Other values (22) 37
21.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
91.1%
Decimal Number 14
 
8.3%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
14.3%
주 22
14.3%
민 22
14.3%
센 22
14.3%
터 22
14.3%
정 4
 
2.6%
자 4
 
2.6%
현 3
 
1.9%
탑 3
 
1.9%
내 3
 
1.9%
Other values (18) 27
17.5%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
2 5
35.7%
3 3
21.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
91.1%
Common 15
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
14.3%
주 22
14.3%
민 22
14.3%
센 22
14.3%
터 22
14.3%
정 4
 
2.6%
자 4
 
2.6%
현 3
 
1.9%
탑 3
 
1.9%
내 3
 
1.9%
Other values (18) 27
17.5%
Common
ValueCountFrequency (%)
1 6
40.0%
2 5
33.3%
3 3
20.0%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
91.1%
ASCII 15
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
14.3%
주 22
14.3%
민 22
14.3%
센 22
14.3%
터 22
14.3%
정 4
 
2.6%
자 4
 
2.6%
현 3
 
1.9%
탑 3
 
1.9%
내 3
 
1.9%
Other values (18) 27
17.5%
ASCII
ValueCountFrequency (%)
1 6
40.0%
2 5
33.3%
3 3
20.0%
1
 
6.7%

우편번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13562.636
Minimum13466
Maximum13627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T16:58:39.758744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13466
5-th percentile13479.55
Q113520.75
median13584
Q313602.25
95-th percentile13621.65
Maximum13627
Range161
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation50.978563
Coefficient of variation (CV)0.0037587502
Kurtosis-1.1508276
Mean13562.636
Median Absolute Deviation (MAD)30.5
Skewness-0.5350234
Sum298378
Variance2598.8139
MonotonicityNot monotonic
2023-12-12T16:58:39.927092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
13582 1
 
4.5%
13506 1
 
4.5%
13466 1
 
4.5%
13532 1
 
4.5%
13490 1
 
4.5%
13479 1
 
4.5%
13627 1
 
4.5%
13622 1
 
4.5%
13615 1
 
4.5%
13504 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
13466 1
4.5%
13479 1
4.5%
13490 1
4.5%
13504 1
4.5%
13506 1
4.5%
13520 1
4.5%
13523 1
4.5%
13532 1
4.5%
13554 1
4.5%
13566 1
4.5%
ValueCountFrequency (%)
13627 1
4.5%
13622 1
4.5%
13615 1
4.5%
13612 1
4.5%
13607 1
4.5%
13603 1
4.5%
13600 1
4.5%
13599 1
4.5%
13597 1
4.5%
13588 1
4.5%

주 소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T16:58:40.186291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25.5
Mean length23.545455
Min length19

Characters and Unicode

Total characters518
Distinct characters56
Distinct categories5 ?
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 row성남시 분당구 불정로 312(분당동 42)
2nd row성남시 분당구 내정로173번길 21(수내동)
3rd row성남시 분당구 내정로166번길 17 (수내동)
4th row성남시 분당구 돌마로356번길 43(수내동)
5th row성남시 분당구 황새울로 18번길 14(정자동 147)
ValueCountFrequency (%)
성남시 22
22.7%
분당구 22
22.7%
10 2
 
2.1%
312(분당동 1
 
1.0%
돌마로90번길 1
 
1.0%
장미로86번길 1
 
1.0%
18(야탑동 1
 
1.0%
야탑로76번길 1
 
1.0%
5(야탑동 1
 
1.0%
야탑로167번길 1
 
1.0%
Other values (44) 44
45.4%
2023-12-12T16:58:40.553448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
14.5%
성 25
 
4.8%
구 25
 
4.8%
남 25
 
4.8%
동 24
 
4.6%
분 23
 
4.4%
당 23
 
4.4%
( 22
 
4.2%
시 22
 
4.2%
로 22
 
4.2%
Other values (46) 232
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
59.3%
Decimal Number 92
 
17.8%
Space Separator 75
 
14.5%
Open Punctuation 22
 
4.2%
Close Punctuation 22
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 25
 
8.1%
구 25
 
8.1%
남 25
 
8.1%
동 24
 
7.8%
분 23
 
7.5%
당 23
 
7.5%
시 22
 
7.2%
로 22
 
7.2%
번 17
 
5.5%
길 17
 
5.5%
Other values (33) 84
27.4%
Decimal Number
ValueCountFrequency (%)
1 22
23.9%
7 13
14.1%
6 11
12.0%
2 10
10.9%
3 9
9.8%
4 8
 
8.7%
9 6
 
6.5%
0 5
 
5.4%
8 5
 
5.4%
5 3
 
3.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
59.3%
Common 211
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 25
 
8.1%
구 25
 
8.1%
남 25
 
8.1%
동 24
 
7.8%
분 23
 
7.5%
당 23
 
7.5%
시 22
 
7.2%
로 22
 
7.2%
번 17
 
5.5%
길 17
 
5.5%
Other values (33) 84
27.4%
Common
ValueCountFrequency (%)
75
35.5%
( 22
 
10.4%
) 22
 
10.4%
1 22
 
10.4%
7 13
 
6.2%
6 11
 
5.2%
2 10
 
4.7%
3 9
 
4.3%
4 8
 
3.8%
9 6
 
2.8%
Other values (3) 13
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
59.3%
ASCII 211
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
35.5%
( 22
 
10.4%
) 22
 
10.4%
1 22
 
10.4%
7 13
 
6.2%
6 11
 
5.2%
2 10
 
4.7%
3 9
 
4.3%
4 8
 
3.8%
9 6
 
2.8%
Other values (3) 13
 
6.2%
Hangul
ValueCountFrequency (%)
성 25
 
8.1%
구 25
 
8.1%
남 25
 
8.1%
동 24
 
7.8%
분 23
 
7.5%
당 23
 
7.5%
시 22
 
7.2%
로 22
 
7.2%
번 17
 
5.5%
길 17
 
5.5%
Other values (33) 84
27.4%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T16:58:40.737077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
Distinct characters10
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

Unique22 ?
Unique (%)100.0%

Sample

1st row031-729-7610
2nd row031-729-7630
3rd row031-729-7650
4th row031-729-7670
5th row031-729-7690
ValueCountFrequency (%)
031-729-7610 1
 
4.5%
031-729-7630 1
 
4.5%
031-729-8310 1
 
4.5%
031-729-7990 1
 
4.5%
031-729-7890 1
 
4.5%
031-729-7930 1
 
4.5%
031-729-7950 1
 
4.5%
031-729-7910 1
 
4.5%
031-729-7870 1
 
4.5%
031-729-7850 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T16:58:41.160936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 51
19.3%
0 44
16.7%
- 44
16.7%
9 31
11.7%
3 27
10.2%
1 27
10.2%
2 23
8.7%
8 7
 
2.7%
6 6
 
2.3%
5 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 51
23.2%
0 44
20.0%
9 31
14.1%
3 27
12.3%
1 27
12.3%
2 23
10.5%
8 7
 
3.2%
6 6
 
2.7%
5 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 51
19.3%
0 44
16.7%
- 44
16.7%
9 31
11.7%
3 27
10.2%
1 27
10.2%
2 23
8.7%
8 7
 
2.7%
6 6
 
2.3%
5 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 51
19.3%
0 44
16.7%
- 44
16.7%
9 31
11.7%
3 27
10.2%
1 27
10.2%
2 23
8.7%
8 7
 
2.7%
6 6
 
2.3%
5 4
 
1.5%

관할구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
분당구청
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구청 22
100.0%

Length

2023-12-12T16:58:41.388361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:41.540509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구청 22
100.0%

구연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
031-729-7073
22 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-729-7073
2nd row031-729-7073
3rd row031-729-7073
4th row031-729-7073
5th row031-729-7073

Common Values

ValueCountFrequency (%)
031-729-7073 22
100.0%

Length

2023-12-12T16:58:41.652213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:41.768951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-729-7073 22
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-10-16 00:00:00
Maximum2023-10-16 00:00:00
2023-12-12T16:58:41.854061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:41.961677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:58:37.640495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:37.419858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:37.775765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:37.514436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:58:42.042168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동우편번호주 소전화번호
연번1.0001.0000.6971.0001.000
읍면동1.0001.0001.0001.0001.000
우편번호0.6971.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-12T16:58:42.159837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.000-0.395
우편번호-0.3951.000

Missing values

2023-12-12T16:58:37.949952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:58:38.158247image/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

연번시도시군구읍면동우편번호주 소전화번호관할구구연락처데이터기준일
01성남시분당구분당동주민센터13582성남시 분당구 불정로 312(분당동 42)031-729-7610분당구청031-729-70732023-10-16
12성남시분당구수내1동주민센터13597성남시 분당구 내정로173번길 21(수내동)031-729-7630분당구청031-729-70732023-10-16
23성남시분당구수내2동주민센터13599성남시 분당구 내정로166번길 17 (수내동)031-729-7650분당구청031-729-70732023-10-16
34성남시분당구수내3동주민센터13600성남시 분당구 돌마로356번길 43(수내동)031-729-7670분당구청031-729-70732023-10-16
45성남시분당구정자동주민센터13612성남시 분당구 황새울로 18번길 14(정자동 147)031-729-7690분당구청031-729-70732023-10-16
56성남시분당구정자1동주민센터13554성남시 분당구 성남대로407번길 12(정자동)031-729-8260분당구청031-729-70732023-10-16
67성남시분당구정자2동주민센터13607성남시 분당구 내정로 66(정자동)031-729-7710분당구청031-729-70732023-10-16
78성남시분당구정자3동주민센터13603성남시 분당구 돌마로 242(정자동)031-729-7730분당구청031-729-70732023-10-16
89성남시분당구서현1동주민센터13588성남시 분당구 중앙공원로39번길 35(서현동)031-729-7750분당구청031-729-70732023-10-16
910성남시분당구서현2동주민센터13586성남시 분당구 돌마로476번길 17(서현동)031-729-7770분당구청031-729-70732023-10-16
연번시도시군구읍면동우편번호주 소전화번호관할구구연락처데이터기준일
1213성남시분당구야탑1동주민센터13506성남시 분당구 장미로86번길 18(야탑동)031-729-7830분당구청031-729-70732023-10-16
1314성남시분당구야탑2동주민센터13520성남시 분당구 야탑로76번길 5(야탑동)031-729-7850분당구청031-729-70732023-10-16
1415성남시분당구야탑3동 주민센터13504성남시 분당구 야탑로167번길 12(야탑동)031-729-7870분당구청031-729-70732023-10-16
1516성남시분당구금곡동주민센터13615성남시 분당구 성남대로171번길 14(금곡동)031-729-7910분당구청031-729-70732023-10-16
1617성남시분당구구미동주민센터13622성남시 분당구 구미로 130(구미동)031-729-7950분당구청031-729-70732023-10-16
1718성남시분당구구미1동주민센터13627성남시 분당구 돌마로90번길 8(구미동)031-729-7930분당구청031-729-70732023-10-16
1819성남시분당구판교동주민센터13479성남시 분당구 서판교로32번길 9 (판교동)031-729-7890분당구청031-729-70732023-10-16
1920성남시분당구삼평동주민센터13490성남시 분당구 동판교로266번길 7 (삼평동)031-729-7990분당구청031-729-70732023-10-16
2021성남시분당구백현동주민센터13532성남시 분당구 동판교로 21 (백현동)031-729-8310분당구청031-729-70732023-10-16
2122성남시분당구운중동주민센터13466성남시 분당구 운중로138번길 10 (운중동)031-729-7970분당구청031-729-70732023-10-16