Overview

Dataset statistics

Number of variables18
Number of observations118
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory149.1 B

Variable types

Numeric4
Text4
Categorical9
DateTime1

Dataset

Description서울특별시 금천구 무료와이파이 현황에 관한 데이터로 설치장소명, 설치장소 상세, 설치시도명, 설치시군구명, 설치시설구분, 서비스제공사명, 와이파이SSID, 구축년도, 소재지도로명주소, 소재지지번주소, 관리기관명, 관리기관 전화번호, 위도, 경도, 데이터기준일자, 담당부서, 담당자 정보 등을 공개합니다.
URLhttps://www.data.go.kr/data/15116083/fileData.do

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
서비스제공사명 has constant value ""Constant
서비스 세트 식별자(SSID) has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
담당부서 has constant value ""Constant
담당자 has constant value ""Constant
연번 is highly overall correlated with 구축년도 and 1 other fieldsHigh correlation
구축년도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
설치시설구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
설치시설구분 is highly imbalanced (51.9%)Imbalance
설치장소상세 has 2 (1.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:51:28.235751
Analysis finished2023-12-12 05:51:31.015468
Duration2.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.5
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T14:51:31.086346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.85
Q130.25
median59.5
Q388.75
95-th percentile112.15
Maximum118
Range117
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation34.207699
Coefficient of variation (CV)0.57491931
Kurtosis-1.2
Mean59.5
Median Absolute Deviation (MAD)29.5
Skewness0
Sum7021
Variance1170.1667
MonotonicityStrictly increasing
2023-12-12T14:51:31.226712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
76 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
81 1
 
0.8%
Other values (108) 108
91.5%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%
109 1
0.8%

설치장소명
Text

Distinct100
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:51:31.525708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.186441
Min length3

Characters and Unicode

Total characters1202
Distinct characters118
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

Unique97 ?
Unique (%)82.2%

Sample

1st row금천구청
2nd row금천구청
3rd row금천구청
4th row금천구청
5th row금천구청
ValueCountFrequency (%)
g밸리 35
 
13.5%
디지털산업단지 35
 
13.5%
금천구청 13
 
5.0%
1 9
 
3.5%
2 9
 
3.5%
안양천 8
 
3.1%
구간 8
 
3.1%
3 7
 
2.7%
독산동우시장 6
 
2.3%
독산로 6
 
2.3%
Other values (88) 123
47.5%
2023-12-12T14:51:32.017395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
12.0%
지 72
 
6.0%
산 64
 
5.3%
리 40
 
3.3%
G 35
 
2.9%
밸 35
 
2.9%
디 35
 
2.9%
단 35
 
2.9%
업 35
 
2.9%
털 35
 
2.9%
Other values (108) 672
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
71.4%
Space Separator 144
 
12.0%
Decimal Number 123
 
10.2%
Uppercase Letter 35
 
2.9%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Dash Punctuation 10
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 72
 
8.4%
산 64
 
7.5%
리 40
 
4.7%
밸 35
 
4.1%
디 35
 
4.1%
단 35
 
4.1%
업 35
 
4.1%
털 35
 
4.1%
시 33
 
3.8%
구 29
 
3.4%
Other values (93) 445
51.9%
Decimal Number
ValueCountFrequency (%)
1 34
27.6%
2 26
21.1%
3 23
18.7%
4 9
 
7.3%
6 7
 
5.7%
5 7
 
5.7%
7 5
 
4.1%
9 5
 
4.1%
8 4
 
3.3%
0 3
 
2.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
71.4%
Common 309
 
25.7%
Latin 35
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 72
 
8.4%
산 64
 
7.5%
리 40
 
4.7%
밸 35
 
4.1%
디 35
 
4.1%
단 35
 
4.1%
업 35
 
4.1%
털 35
 
4.1%
시 33
 
3.8%
구 29
 
3.4%
Other values (93) 445
51.9%
Common
ValueCountFrequency (%)
144
46.6%
1 34
 
11.0%
2 26
 
8.4%
3 23
 
7.4%
) 16
 
5.2%
( 16
 
5.2%
- 10
 
3.2%
4 9
 
2.9%
6 7
 
2.3%
5 7
 
2.3%
Other values (4) 17
 
5.5%
Latin
ValueCountFrequency (%)
G 35
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
71.4%
ASCII 344
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
41.9%
G 35
 
10.2%
1 34
 
9.9%
2 26
 
7.6%
3 23
 
6.7%
) 16
 
4.7%
( 16
 
4.7%
- 10
 
2.9%
4 9
 
2.6%
6 7
 
2.0%
Other values (5) 24
 
7.0%
Hangul
ValueCountFrequency (%)
지 72
 
8.4%
산 64
 
7.5%
리 40
 
4.7%
밸 35
 
4.1%
디 35
 
4.1%
단 35
 
4.1%
업 35
 
4.1%
털 35
 
4.1%
시 33
 
3.8%
구 29
 
3.4%
Other values (93) 445
51.9%

설치장소상세
Text

MISSING 

Distinct108
Distinct (%)93.1%
Missing2
Missing (%)1.7%
Memory size1.1 KiB
2023-12-12T14:51:32.417961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length37
Mean length14.37069
Min length3

Characters and Unicode

Total characters1667
Distinct characters260
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)91.4%

Sample

1st row금천구청 B1 평생학습관(1), 전산교육장(1), U통합운영센터(1), 영유아프라자(1), 드림스타트(1)
2nd row금천구청 1F 로비(2), 통합민원실(1),보건소차량기사대기실(1)
3rd row금천구청 2F 건축과(1), 보건소 민원실(1)
4th row금천구청 3F 구의회 복도(1), 보건소 임상병리실(1)
5th row금천구청 4F 구의회 복도(1), 보건소 국민체력 증진센터(1)
ValueCountFrequency (%)
앞 16
 
5.2%
앞(1 13
 
4.2%
금천구청 13
 
4.2%
안양천 8
 
2.6%
구간 8
 
2.6%
산책로(구청-기아대교 8
 
2.6%
독산로 6
 
1.9%
복도(1 4
 
1.3%
보건소 4
 
1.3%
은행나무시장 3
 
1.0%
Other values (203) 225
73.1%
2023-12-12T14:51:33.057265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
11.6%
1 84
 
5.0%
) 75
 
4.5%
( 75
 
4.5%
앞 68
 
4.1%
구 45
 
2.7%
, 35
 
2.1%
산 29
 
1.7%
아 22
 
1.3%
청 22
 
1.3%
Other values (250) 1019
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1074
64.4%
Space Separator 193
 
11.6%
Decimal Number 148
 
8.9%
Close Punctuation 75
 
4.5%
Open Punctuation 75
 
4.5%
Uppercase Letter 40
 
2.4%
Other Punctuation 35
 
2.1%
Lowercase Letter 15
 
0.9%
Dash Punctuation 11
 
0.7%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 68
 
6.3%
구 45
 
4.2%
산 29
 
2.7%
아 22
 
2.0%
청 22
 
2.0%
대 21
 
2.0%
천 21
 
2.0%
로 19
 
1.8%
지 19
 
1.8%
스 18
 
1.7%
Other values (210) 790
73.6%
Lowercase Letter
ValueCountFrequency (%)
t 2
13.3%
m 2
13.3%
k 1
 
6.7%
p 1
 
6.7%
l 1
 
6.7%
r 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
o 1
 
6.7%
x 1
 
6.7%
Other values (3) 3
20.0%
Uppercase Letter
ValueCountFrequency (%)
F 14
35.0%
C 4
 
10.0%
L 4
 
10.0%
G 4
 
10.0%
T 3
 
7.5%
V 3
 
7.5%
P 2
 
5.0%
B 2
 
5.0%
S 2
 
5.0%
U 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 84
56.8%
2 21
 
14.2%
3 11
 
7.4%
0 8
 
5.4%
4 7
 
4.7%
5 4
 
2.7%
9 4
 
2.7%
7 4
 
2.7%
6 3
 
2.0%
8 2
 
1.4%
Space Separator
ValueCountFrequency (%)
193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
64.5%
Common 537
32.2%
Latin 55
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 68
 
6.3%
구 45
 
4.2%
산 29
 
2.7%
아 22
 
2.0%
청 22
 
2.0%
대 21
 
2.0%
천 21
 
2.0%
로 19
 
1.8%
지 19
 
1.8%
스 18
 
1.7%
Other values (211) 791
73.6%
Latin
ValueCountFrequency (%)
F 14
25.5%
C 4
 
7.3%
L 4
 
7.3%
G 4
 
7.3%
T 3
 
5.5%
V 3
 
5.5%
t 2
 
3.6%
P 2
 
3.6%
m 2
 
3.6%
B 2
 
3.6%
Other values (14) 15
27.3%
Common
ValueCountFrequency (%)
193
35.9%
1 84
15.6%
) 75
 
14.0%
( 75
 
14.0%
, 35
 
6.5%
2 21
 
3.9%
3 11
 
2.0%
- 11
 
2.0%
0 8
 
1.5%
4 7
 
1.3%
Other values (5) 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1074
64.4%
ASCII 592
35.5%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
32.6%
1 84
14.2%
) 75
 
12.7%
( 75
 
12.7%
, 35
 
5.9%
2 21
 
3.5%
F 14
 
2.4%
3 11
 
1.9%
- 11
 
1.9%
0 8
 
1.4%
Other values (29) 65
 
11.0%
Hangul
ValueCountFrequency (%)
앞 68
 
6.3%
구 45
 
4.2%
산 29
 
2.7%
아 22
 
2.0%
청 22
 
2.0%
대 21
 
2.0%
천 21
 
2.0%
로 19
 
1.8%
지 19
 
1.8%
스 18
 
1.7%
Other values (210) 790
73.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
서울특별시
118 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 118
100.0%

Length

2023-12-12T14:51:33.222688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:33.343610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 118
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
금천구
118 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금천구 118
100.0%

Length

2023-12-12T14:51:33.450626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:33.547358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금천구 118
100.0%

설치시설구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타
95 
관공서
22 
복지시설
 
1

Length

Max length4
Median length2
Mean length2.2033898
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
기타 95
80.5%
관공서 22
 
18.6%
복지시설 1
 
0.8%

Length

2023-12-12T14:51:33.677353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:33.803595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 95
80.5%
관공서 22
 
18.6%
복지시설 1
 
0.8%

서비스제공사명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
금천구청
118 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금천구청 118
100.0%

Length

2023-12-12T14:51:33.907551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:33.994151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금천구청 118
100.0%

서비스 세트 식별자(SSID)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
PublicWiFi@Geumcheon
118 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPublicWiFi@Geumcheon
2nd rowPublicWiFi@Geumcheon
3rd rowPublicWiFi@Geumcheon
4th rowPublicWiFi@Geumcheon
5th rowPublicWiFi@Geumcheon

Common Values

ValueCountFrequency (%)
PublicWiFi@Geumcheon 118
100.0%

Length

2023-12-12T14:51:34.105253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:34.200659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
publicwifi@geumcheon 118
100.0%

구축년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.322
Minimum2013
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T14:51:34.287675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12019
median2019
Q32019
95-th percentile2021
Maximum2021
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2641062
Coefficient of variation (CV)0.0011217765
Kurtosis1.6170851
Mean2018.322
Median Absolute Deviation (MAD)0
Skewness-1.6895306
Sum238162
Variance5.126177
MonotonicityNot monotonic
2023-12-12T14:51:34.384848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 72
61.0%
2013 16
 
13.6%
2020 13
 
11.0%
2018 8
 
6.8%
2021 8
 
6.8%
2014 1
 
0.8%
ValueCountFrequency (%)
2013 16
 
13.6%
2014 1
 
0.8%
2018 8
 
6.8%
2019 72
61.0%
2020 13
 
11.0%
2021 8
 
6.8%
ValueCountFrequency (%)
2021 8
 
6.8%
2020 13
 
11.0%
2019 72
61.0%
2018 8
 
6.8%
2014 1
 
0.8%
2013 16
 
13.6%

소재지도로명주소
Text

Distinct82
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:51:34.628772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length17.711864
Min length7

Characters and Unicode

Total characters2090
Distinct characters49
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

Unique75 ?
Unique (%)63.6%

Sample

1st row서울특별시 금천구 시흥대로73길 70
2nd row서울특별시 금천구 시흥대로73길 70
3rd row서울특별시 금천구 시흥대로73길 70
4th row서울특별시 금천구 시흥대로73길 70
5th row서울특별시 금천구 시흥대로73길 70
ValueCountFrequency (%)
서울특별시 101
22.9%
금천구 101
22.9%
가산디지털1로 19
 
4.3%
데이터 17
 
3.8%
미집계 17
 
3.8%
시흥대로73길 15
 
3.4%
70 15
 
3.4%
가산디지털2로 10
 
2.3%
독산로 9
 
2.0%
시흥대로 9
 
2.0%
Other values (96) 129
29.2%
2023-12-12T14:51:35.016401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
15.6%
시 131
 
6.3%
금 111
 
5.3%
서 102
 
4.9%
구 101
 
4.8%
별 101
 
4.8%
천 101
 
4.8%
울 101
 
4.8%
특 101
 
4.8%
로 100
 
4.8%
Other values (39) 815
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
66.2%
Decimal Number 371
 
17.8%
Space Separator 326
 
15.6%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 131
 
9.5%
금 111
 
8.0%
서 102
 
7.4%
구 101
 
7.3%
별 101
 
7.3%
천 101
 
7.3%
울 101
 
7.3%
특 101
 
7.3%
로 100
 
7.2%
길 46
 
3.3%
Other values (27) 388
28.1%
Decimal Number
ValueCountFrequency (%)
1 74
19.9%
2 52
14.0%
7 51
13.7%
3 49
13.2%
4 30
8.1%
0 27
 
7.3%
5 25
 
6.7%
6 23
 
6.2%
8 23
 
6.2%
9 17
 
4.6%
Space Separator
ValueCountFrequency (%)
326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
66.2%
Common 707
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 131
 
9.5%
금 111
 
8.0%
서 102
 
7.4%
구 101
 
7.3%
별 101
 
7.3%
천 101
 
7.3%
울 101
 
7.3%
특 101
 
7.3%
로 100
 
7.2%
길 46
 
3.3%
Other values (27) 388
28.1%
Common
ValueCountFrequency (%)
326
46.1%
1 74
 
10.5%
2 52
 
7.4%
7 51
 
7.2%
3 49
 
6.9%
4 30
 
4.2%
0 27
 
3.8%
5 25
 
3.5%
6 23
 
3.3%
8 23
 
3.3%
Other values (2) 27
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
66.2%
ASCII 707
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
46.1%
1 74
 
10.5%
2 52
 
7.4%
7 51
 
7.2%
3 49
 
6.9%
4 30
 
4.2%
0 27
 
3.8%
5 25
 
3.5%
6 23
 
3.3%
8 23
 
3.3%
Other values (2) 27
 
3.8%
Hangul
ValueCountFrequency (%)
시 131
 
9.5%
금 111
 
8.0%
서 102
 
7.4%
구 101
 
7.3%
별 101
 
7.3%
천 101
 
7.3%
울 101
 
7.3%
특 101
 
7.3%
로 100
 
7.2%
길 46
 
3.3%
Other values (27) 388
28.1%

소재지지번주소
Text

Distinct81
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T14:51:35.530104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.152542
Min length7

Characters and Unicode

Total characters2024
Distinct characters31
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

Unique75 ?
Unique (%)63.6%

Sample

1st row서울특별시 금천구 시흥동 1020
2nd row서울특별시 금천구 시흥동 1020
3rd row서울특별시 금천구 시흥동 1020
4th row서울특별시 금천구 시흥동 1020
5th row서울특별시 금천구 시흥동 1020
ValueCountFrequency (%)
서울특별시 99
22.6%
금천구 99
22.6%
시흥동 37
 
8.4%
가산동 35
 
8.0%
독산동 27
 
6.2%
데이터 19
 
4.3%
미집계 19
 
4.3%
1020 15
 
3.4%
산 5
 
1.1%
1017 3
 
0.7%
Other values (78) 81
18.5%
2023-12-12T14:51:35.938890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
15.9%
시 136
 
6.7%
금 99
 
4.9%
동 99
 
4.9%
구 99
 
4.9%
서 99
 
4.9%
울 99
 
4.9%
특 99
 
4.9%
별 99
 
4.9%
천 99
 
4.9%
Other values (21) 775
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1208
59.7%
Decimal Number 430
 
21.2%
Space Separator 321
 
15.9%
Dash Punctuation 65
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 136
11.3%
금 99
8.2%
동 99
8.2%
구 99
8.2%
서 99
8.2%
울 99
8.2%
특 99
8.2%
별 99
8.2%
천 99
8.2%
산 67
 
5.5%
Other values (9) 213
17.6%
Decimal Number
ValueCountFrequency (%)
1 94
21.9%
0 67
15.6%
2 57
13.3%
3 45
10.5%
5 38
8.8%
8 36
 
8.4%
9 30
 
7.0%
4 24
 
5.6%
6 21
 
4.9%
7 18
 
4.2%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1208
59.7%
Common 816
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 136
11.3%
금 99
8.2%
동 99
8.2%
구 99
8.2%
서 99
8.2%
울 99
8.2%
특 99
8.2%
별 99
8.2%
천 99
8.2%
산 67
 
5.5%
Other values (9) 213
17.6%
Common
ValueCountFrequency (%)
321
39.3%
1 94
 
11.5%
0 67
 
8.2%
- 65
 
8.0%
2 57
 
7.0%
3 45
 
5.5%
5 38
 
4.7%
8 36
 
4.4%
9 30
 
3.7%
4 24
 
2.9%
Other values (2) 39
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1208
59.7%
ASCII 816
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
39.3%
1 94
 
11.5%
0 67
 
8.2%
- 65
 
8.0%
2 57
 
7.0%
3 45
 
5.5%
5 38
 
4.7%
8 36
 
4.4%
9 30
 
3.7%
4 24
 
2.9%
Other values (2) 39
 
4.8%
Hangul
ValueCountFrequency (%)
시 136
11.3%
금 99
8.2%
동 99
8.2%
구 99
8.2%
서 99
8.2%
울 99
8.2%
특 99
8.2%
별 99
8.2%
천 99
8.2%
산 67
 
5.5%
Other values (9) 213
17.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
서울특별시 금천구청
118 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 금천구청
2nd row서울특별시 금천구청
3rd row서울특별시 금천구청
4th row서울특별시 금천구청
5th row서울특별시 금천구청

Common Values

ValueCountFrequency (%)
서울특별시 금천구청 118
100.0%

Length

2023-12-12T14:51:36.069705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:36.161734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 118
50.0%
금천구청 118
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
02-2627-1122
118 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2627-1122
2nd row02-2627-1122
3rd row02-2627-1122
4th row02-2627-1122
5th row02-2627-1122

Common Values

ValueCountFrequency (%)
02-2627-1122 118
100.0%

Length

2023-12-12T14:51:36.278671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:36.384256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2627-1122 118
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct102
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.462299
Minimum37.280016
Maximum37.485084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T14:51:36.487659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.280016
5-th percentile37.447356
Q137.455959
median37.463105
Q337.472423
95-th percentile37.482486
Maximum37.485084
Range0.205068
Interquartile range (IQR)0.01646375

Descriptive statistics

Standard deviation0.020255281
Coefficient of variation (CV)0.00054068441
Kurtosis56.159844
Mean37.462299
Median Absolute Deviation (MAD)0.00852
Skewness-6.2669916
Sum4420.5513
Variance0.00041027642
MonotonicityNot monotonic
2023-12-12T14:51:36.638359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.456767 15
 
12.7%
37.466077 2
 
1.7%
37.466652 2
 
1.7%
37.468031 1
 
0.8%
37.449647 1
 
0.8%
37.455541 1
 
0.8%
37.447198 1
 
0.8%
37.447384 1
 
0.8%
37.448104 1
 
0.8%
37.454539 1
 
0.8%
Other values (92) 92
78.0%
ValueCountFrequency (%)
37.280016 1
0.8%
37.438578 1
0.8%
37.438693 1
0.8%
37.438885 1
0.8%
37.440648 1
0.8%
37.447198 1
0.8%
37.447384 1
0.8%
37.448104 1
0.8%
37.449254 1
0.8%
37.449647 1
0.8%
ValueCountFrequency (%)
37.485084 1
0.8%
37.485062 1
0.8%
37.484146 1
0.8%
37.483824 1
0.8%
37.483296 1
0.8%
37.48267 1
0.8%
37.482453 1
0.8%
37.482367 1
0.8%
37.481793 1
0.8%
37.481403 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89186
Minimum126.53473
Maximum126.92032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T14:51:36.801427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53473
5-th percentile126.87881
Q1126.88619
median126.8954
Q3126.90209
95-th percentile126.91096
Maximum126.92032
Range0.385598
Interquartile range (IQR)0.01589725

Descriptive statistics

Standard deviation0.0345685
Coefficient of variation (CV)0.00027242489
Kurtosis99.429639
Mean126.89186
Median Absolute Deviation (MAD)0.0084205
Skewness-9.5638249
Sum14973.239
Variance0.0011949812
MonotonicityNot monotonic
2023-12-12T14:51:36.984444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.895401 15
 
12.7%
126.897272 2
 
1.7%
126.904773 2
 
1.7%
126.900445 2
 
1.7%
126.899739 2
 
1.7%
126.899159 1
 
0.8%
126.893726 1
 
0.8%
126.911292 1
 
0.8%
126.91153 1
 
0.8%
126.910907 1
 
0.8%
Other values (90) 90
76.3%
ValueCountFrequency (%)
126.534726 1
0.8%
126.875468 1
0.8%
126.876812 1
0.8%
126.877416 1
0.8%
126.877774 1
0.8%
126.878267 1
0.8%
126.878902 1
0.8%
126.879611 1
0.8%
126.879968 1
0.8%
126.880619 1
0.8%
ValueCountFrequency (%)
126.920324 1
0.8%
126.914318 1
0.8%
126.912235 1
0.8%
126.911582 1
0.8%
126.91153 1
0.8%
126.911292 1
0.8%
126.910907 1
0.8%
126.910519 1
0.8%
126.910285 1
0.8%
126.90986 1
0.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-05-01 00:00:00
Maximum2023-05-01 00:00:00
2023-12-12T14:51:37.145217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:37.243332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
행정지원과
118 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정지원과 118
100.0%

Length

2023-12-12T14:51:37.380341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:37.495469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정지원과 118
100.0%

담당자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
이현호
118 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이현호 118
100.0%

Length

2023-12-12T14:51:37.593534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:37.721950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이현호 118
100.0%

Interactions

2023-12-12T14:51:30.206007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.167456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.497478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.873138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:30.327917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.256835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.589149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.968627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:30.434081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.340975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.697792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:30.059342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:30.517443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.417324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:29.779897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:51:30.124029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:51:37.783527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치장소명설치시설구분구축년도소재지도로명주소소재지지번주소위도경도
연번1.0000.9940.7010.8510.9590.9580.6560.606
설치장소명0.9941.0001.0001.0000.9990.9990.0000.000
설치시설구분0.7011.0001.0000.4091.0000.9930.2190.000
구축년도0.8511.0000.4091.0000.9150.0000.4010.271
소재지도로명주소0.9590.9991.0000.9151.0000.9990.8811.000
소재지지번주소0.9580.9990.9930.0000.9991.0000.7911.000
위도0.6560.0000.2190.4010.8810.7911.0000.699
경도0.6060.0000.0000.2711.0001.0000.6991.000
2023-12-12T14:51:37.901386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구축년도위도경도설치시설구분
연번1.0000.875-0.2350.3950.541
구축년도0.8751.000-0.0500.1320.628
위도-0.235-0.0501.000-0.6060.207
경도0.3950.132-0.6061.0000.000
설치시설구분0.5410.6280.2070.0001.000

Missing values

2023-12-12T14:51:30.650689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:51:30.915184image/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

연번설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명서비스 세트 식별자(SSID)구축년도소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자담당부서담당자
01금천구청금천구청 B1 평생학습관(1), 전산교육장(1), U통합운영센터(1), 영유아프라자(1), 드림스타트(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
12금천구청금천구청 1F 로비(2), 통합민원실(1),보건소차량기사대기실(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
23금천구청금천구청 2F 건축과(1), 보건소 민원실(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
34금천구청금천구청 3F 구의회 복도(1), 보건소 임상병리실(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
45금천구청금천구청 4F 구의회 복도(1), 보건소 국민체력 증진센터(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
56금천구청금천구청 5F 체력단련실(1), 보건소 건강증진과(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
67금천구청금천구청 6F 기획예산과(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
78금천구청금천구청 7F 사회복지과 앞(1), 아동청년과 앞(1), 복지정책과(1),마을자치과(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
89금천구청금천구청 8F 세무과 앞(1), 재무과 앞(1), 환경과(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
910금천구청금천구청 9F 소회의실 앞 복도(1), 열린 민원실앞 복도(1), 일자리창출과 앞(1)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2013서울특별시 금천구 시흥대로73길 70서울특별시 금천구 시흥동 1020서울특별시 금천구청02-2627-112237.456767126.8954012023-05-01행정지원과이현호
연번설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명서비스 세트 식별자(SSID)구축년도소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자담당부서담당자
108109독산로 169-1독산로 169-1서울특별시금천구기타금천구청PublicWiFi@Geumcheon2021서울특별시 금천구 독산로 169-1데이터 미집계서울특별시 금천구청02-2627-112237.462501126.9041292023-05-01행정지원과이현호
109110독산로 163독산로 163서울특별시금천구기타금천구청PublicWiFi@Geumcheon2021서울특별시 금천구 독산로 163데이터 미집계서울특별시 금천구청02-2627-112237.461713126.9044952023-05-01행정지원과이현호
110111독산로 153독산로 153서울특별시금천구기타금천구청PublicWiFi@Geumcheon2021서울특별시 금천구 독산로 153데이터 미집계서울특별시 금천구청02-2627-112237.460243126.9047732023-05-01행정지원과이현호
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114115산기슭 공원<NA>서울특별시금천구기타금천구청PublicWiFi@Geumcheon2021데이터 미집계서울특별시 금천구 시흥동 산 138-3서울특별시 금천구청02-2627-112237.462709126.9071882023-05-01행정지원과이현호
115116금나래공원 커뮤니티금나래공원 내 커뮤니티서울특별시금천구기타금천구청PublicWiFi@Geumcheon2020데이터 미집계서울특별시 금천구 독산동 1151서울특별시 금천구청02-2627-112237.457254126.8943822023-05-01행정지원과이현호
116117박미보건지소1층(1), 2층(4)서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2021서울특별시 금천구 시흥대로 12길 10-5데이터 미집계서울특별시 금천구청02-2627-112237.438693126.9045452023-05-01행정지원과이현호
117118적환장<NA>서울특별시금천구관공서금천구청PublicWiFi@Geumcheon2020서울특별시 금천구 서부샛길 202데이터 미집계서울특별시 금천구청02-2627-112237.463502126.8886762023-05-01행정지원과이현호