Overview

Dataset statistics

Number of variables9
Number of observations149
Missing cells75
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory74.9 B

Variable types

Categorical2
Text5
Numeric2

Dataset

Description2022년 기준 성북구 협동조합 설립신고 현황에 대한 데이터로 협동조합명, 대표자, 사업장주소지, 연락처, 위경도 정보 제공
Author서울특별시 성북구
URLhttps://www.data.go.kr/data/15075858/fileData.do

Alerts

위도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 위도High correlation
전화번호 has 75 (50.3%) missing valuesMissing
협동조합명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:03:59.669695
Analysis finished2023-12-12 21:04:00.840026
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반협동조합
119 
사회적협동조합
30 

Length

Max length7
Median length6
Mean length6.2013423
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반협동조합 119
79.9%
사회적협동조합 30
 
20.1%

Length

2023-12-13T06:04:00.898580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:00.987178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반협동조합 119
79.9%
사회적협동조합 30
 
20.1%

협동조합명
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:04:01.158179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length10.892617
Min length6

Characters and Unicode

Total characters1623
Distinct characters295
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)100.0%

Sample

1st row한국웰니스사회적협동조합
2nd row한국의류자원순환사회적협동조합
3rd row나무와열매사회적협동조합
4th row함께살이성북사회적협동조합
5th row너른마당 사회적협동조합
ValueCountFrequency (%)
협동조합 27
 
13.2%
사회적협동조합 18
 
8.8%
한국웰니스사회적협동조합 1
 
0.5%
원진앤지(wonjin&g)협동조합 1
 
0.5%
7번출구협동조합 1
 
0.5%
전국식자재유통협동조합 1
 
0.5%
한국교사강사연합회협동조합 1
 
0.5%
디자인과봉제협동조합 1
 
0.5%
전국청년문화예술 1
 
0.5%
아인클랑 1
 
0.5%
Other values (152) 152
74.1%
2023-12-13T06:04:01.492615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 154
 
9.5%
합 153
 
9.4%
조 150
 
9.2%
협 148
 
9.1%
57
 
3.5%
사 43
 
2.6%
회 36
 
2.2%
적 30
 
1.8%
성 23
 
1.4%
한 21
 
1.3%
Other values (285) 808
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1547
95.3%
Space Separator 57
 
3.5%
Lowercase Letter 6
 
0.4%
Decimal Number 5
 
0.3%
Uppercase Letter 5
 
0.3%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 154
 
10.0%
합 153
 
9.9%
조 150
 
9.7%
협 148
 
9.6%
사 43
 
2.8%
회 36
 
2.3%
적 30
 
1.9%
성 23
 
1.5%
한 21
 
1.4%
마 18
 
1.2%
Other values (266) 771
49.8%
Lowercase Letter
ValueCountFrequency (%)
n 2
33.3%
i 1
16.7%
j 1
16.7%
o 1
16.7%
w 1
16.7%
Decimal Number
ValueCountFrequency (%)
7 1
20.0%
1 1
20.0%
3 1
20.0%
6 1
20.0%
9 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
T 1
20.0%
G 1
20.0%
M 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1547
95.3%
Common 65
 
4.0%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 154
 
10.0%
합 153
 
9.9%
조 150
 
9.7%
협 148
 
9.6%
사 43
 
2.8%
회 36
 
2.3%
적 30
 
1.9%
성 23
 
1.5%
한 21
 
1.4%
마 18
 
1.2%
Other values (266) 771
49.8%
Latin
ValueCountFrequency (%)
n 2
18.2%
I 1
9.1%
T 1
9.1%
G 1
9.1%
i 1
9.1%
j 1
9.1%
o 1
9.1%
w 1
9.1%
M 1
9.1%
C 1
9.1%
Common
ValueCountFrequency (%)
57
87.7%
7 1
 
1.5%
& 1
 
1.5%
) 1
 
1.5%
( 1
 
1.5%
1 1
 
1.5%
3 1
 
1.5%
6 1
 
1.5%
9 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1547
95.3%
ASCII 76
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 154
 
10.0%
합 153
 
9.9%
조 150
 
9.7%
협 148
 
9.6%
사 43
 
2.8%
회 36
 
2.3%
적 30
 
1.9%
성 23
 
1.5%
한 21
 
1.4%
마 18
 
1.2%
Other values (266) 771
49.8%
ASCII
ValueCountFrequency (%)
57
75.0%
n 2
 
2.6%
7 1
 
1.3%
I 1
 
1.3%
T 1
 
1.3%
& 1
 
1.3%
G 1
 
1.3%
) 1
 
1.3%
i 1
 
1.3%
j 1
 
1.3%
Other values (9) 9
 
11.8%

대표자
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:04:01.819231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0268456
Min length3

Characters and Unicode

Total characters451
Distinct characters123
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)100.0%

Sample

1st row안홍준
2nd row권혜원
3rd row김경예
4th row김경서
5th row배미영
ValueCountFrequency (%)
안홍준 1
 
0.7%
박현실 1
 
0.7%
이상훈 1
 
0.7%
하장호 1
 
0.7%
조덕섭 1
 
0.7%
김웅기 1
 
0.7%
강의석 1
 
0.7%
이병익 1
 
0.7%
김범준 1
 
0.7%
허재만 1
 
0.7%
Other values (139) 139
93.3%
2023-12-13T06:04:02.242990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 27
 
6.0%
이 23
 
5.1%
정 15
 
3.3%
영 15
 
3.3%
경 13
 
2.9%
유 11
 
2.4%
박 11
 
2.4%
성 9
 
2.0%
진 9
 
2.0%
석 9
 
2.0%
Other values (113) 309
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 27
 
6.0%
이 23
 
5.1%
정 15
 
3.3%
영 15
 
3.3%
경 13
 
2.9%
유 11
 
2.4%
박 11
 
2.4%
성 9
 
2.0%
진 9
 
2.0%
석 9
 
2.0%
Other values (113) 309
68.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 27
 
6.0%
이 23
 
5.1%
정 15
 
3.3%
영 15
 
3.3%
경 13
 
2.9%
유 11
 
2.4%
박 11
 
2.4%
성 9
 
2.0%
진 9
 
2.0%
석 9
 
2.0%
Other values (113) 309
68.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 27
 
6.0%
이 23
 
5.1%
정 15
 
3.3%
영 15
 
3.3%
경 13
 
2.9%
유 11
 
2.4%
박 11
 
2.4%
성 9
 
2.0%
진 9
 
2.0%
석 9
 
2.0%
Other values (113) 309
68.5%

사업내용
Text

Distinct142
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:04:02.523094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length15.154362
Min length4

Characters and Unicode

Total characters2258
Distinct characters275
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)94.0%

Sample

1st row마을 자원 지역개발 컨설팅 등
2nd row재활용 의류수거함 설치유지관리
3rd row장애인 활동지원, 돌봄
4th row지역공동체 네트워크 협력
5th row장애인 청소년 사회성 발달 및 심리 정서지원
ValueCountFrequency (%)
및 41
 
7.3%
사업 32
 
5.7%
운영 18
 
3.2%
등 17
 
3.0%
교육 12
 
2.1%
관련 11
 
1.9%
위한 9
 
1.6%
판매 8
 
1.4%
지역아동센터 7
 
1.2%
활성화 7
 
1.2%
Other values (320) 403
71.3%
2023-12-13T06:04:02.924003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
419
 
18.6%
업 73
 
3.2%
사 73
 
3.2%
, 61
 
2.7%
화 46
 
2.0%
지 42
 
1.9%
및 41
 
1.8%
공 40
 
1.8%
교 38
 
1.7%
문 37
 
1.6%
Other values (265) 1388
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1763
78.1%
Space Separator 419
 
18.6%
Other Punctuation 66
 
2.9%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 73
 
4.1%
사 73
 
4.1%
화 46
 
2.6%
지 42
 
2.4%
및 41
 
2.3%
공 40
 
2.3%
교 38
 
2.2%
문 37
 
2.1%
육 35
 
2.0%
제 29
 
1.6%
Other values (254) 1309
74.2%
Other Punctuation
ValueCountFrequency (%)
, 61
92.4%
· 3
 
4.5%
& 1
 
1.5%
/ 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
419
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1763
78.1%
Common 492
 
21.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 73
 
4.1%
사 73
 
4.1%
화 46
 
2.6%
지 42
 
2.4%
및 41
 
2.3%
공 40
 
2.3%
교 38
 
2.2%
문 37
 
2.1%
육 35
 
2.0%
제 29
 
1.6%
Other values (254) 1309
74.2%
Common
ValueCountFrequency (%)
419
85.2%
, 61
 
12.4%
· 3
 
0.6%
) 3
 
0.6%
( 3
 
0.6%
& 1
 
0.2%
2 1
 
0.2%
/ 1
 
0.2%
Latin
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1763
78.1%
ASCII 492
 
21.8%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
419
85.2%
, 61
 
12.4%
) 3
 
0.6%
( 3
 
0.6%
& 1
 
0.2%
Z 1
 
0.2%
M 1
 
0.2%
D 1
 
0.2%
2 1
 
0.2%
/ 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 73
 
4.1%
사 73
 
4.1%
화 46
 
2.6%
지 42
 
2.4%
및 41
 
2.3%
공 40
 
2.3%
교 38
 
2.2%
문 37
 
2.1%
육 35
 
2.0%
제 29
 
1.6%
Other values (254) 1309
74.2%
None
ValueCountFrequency (%)
· 3
100.0%

주소
Text

Distinct148
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:04:03.286304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length27.597315
Min length16

Characters and Unicode

Total characters4112
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)98.7%

Sample

1st row서울특별시 성북구 서경로 124 서경대본관 707호(정릉4동)
2nd row서울특별시 성북구 종암로34길 15-10(월곡1동)
3rd row서울특별시 성북구 동소문로 260, 길음환승주차빌딩 7층(길음2동)
4th row서울특별시 성북구 돌곶이로22가길 12, 2층(석관동)
5th row서울특별시 성북구 동소문로20다길 10, 세창빌딩(동선동)
ValueCountFrequency (%)
서울특별시 149
 
20.8%
성북구 149
 
20.8%
화랑로 7
 
1.0%
11 6
 
0.8%
동소문로 6
 
0.8%
2층 5
 
0.7%
정릉동 5
 
0.7%
종암로25길 4
 
0.6%
정릉로 4
 
0.6%
성북로 4
 
0.6%
Other values (324) 376
52.6%
2023-12-13T06:04:03.764673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
13.8%
1 176
 
4.3%
북 175
 
4.3%
성 174
 
4.2%
동 161
 
3.9%
서 155
 
3.8%
구 152
 
3.7%
별 150
 
3.6%
특 149
 
3.6%
시 149
 
3.6%
Other values (127) 2103
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2469
60.0%
Decimal Number 716
 
17.4%
Space Separator 568
 
13.8%
Open Punctuation 127
 
3.1%
Close Punctuation 127
 
3.1%
Other Punctuation 68
 
1.7%
Dash Punctuation 32
 
0.8%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 175
 
7.1%
성 174
 
7.0%
동 161
 
6.5%
서 155
 
6.3%
구 152
 
6.2%
별 150
 
6.1%
특 149
 
6.0%
시 149
 
6.0%
울 149
 
6.0%
로 148
 
6.0%
Other values (111) 907
36.7%
Decimal Number
ValueCountFrequency (%)
1 176
24.6%
2 129
18.0%
4 74
10.3%
3 68
 
9.5%
0 51
 
7.1%
5 50
 
7.0%
8 49
 
6.8%
7 47
 
6.6%
6 40
 
5.6%
9 32
 
4.5%
Space Separator
ValueCountFrequency (%)
568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2469
60.0%
Common 1638
39.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 175
 
7.1%
성 174
 
7.0%
동 161
 
6.5%
서 155
 
6.3%
구 152
 
6.2%
별 150
 
6.1%
특 149
 
6.0%
시 149
 
6.0%
울 149
 
6.0%
로 148
 
6.0%
Other values (111) 907
36.7%
Common
ValueCountFrequency (%)
568
34.7%
1 176
 
10.7%
2 129
 
7.9%
( 127
 
7.8%
) 127
 
7.8%
4 74
 
4.5%
, 68
 
4.2%
3 68
 
4.2%
0 51
 
3.1%
5 50
 
3.1%
Other values (5) 200
 
12.2%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2469
60.0%
ASCII 1643
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
34.6%
1 176
 
10.7%
2 129
 
7.9%
( 127
 
7.7%
) 127
 
7.7%
4 74
 
4.5%
, 68
 
4.1%
3 68
 
4.1%
0 51
 
3.1%
5 50
 
3.0%
Other values (6) 205
 
12.5%
Hangul
ValueCountFrequency (%)
북 175
 
7.1%
성 174
 
7.0%
동 161
 
6.5%
서 155
 
6.3%
구 152
 
6.2%
별 150
 
6.1%
특 149
 
6.0%
시 149
 
6.0%
울 149
 
6.0%
로 148
 
6.0%
Other values (111) 907
36.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.601931
Minimum37.5801
Maximum37.620872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:04:03.935349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.5801
5-th percentile37.584539
Q137.593226
median37.603424
Q337.609701
95-th percentile37.615395
Maximum37.620872
Range0.040772
Interquartile range (IQR)0.01647553

Descriptive statistics

Standard deviation0.0099406406
Coefficient of variation (CV)0.00026436516
Kurtosis-0.91396623
Mean37.601931
Median Absolute Deviation (MAD)0.007874
Skewness-0.30513464
Sum5602.6877
Variance9.8816335 × 10-5
MonotonicityNot monotonic
2023-12-13T06:04:04.091028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.600132 3
 
2.0%
37.615047 2
 
1.3%
37.61847041 2
 
1.3%
37.58387155 2
 
1.3%
37.591484 2
 
1.3%
37.58870342 2
 
1.3%
37.59555 2
 
1.3%
37.60326 2
 
1.3%
37.612186 2
 
1.3%
37.58991 1
 
0.7%
Other values (129) 129
86.6%
ValueCountFrequency (%)
37.5801 1
0.7%
37.58058 1
0.7%
37.580673 1
0.7%
37.58265 1
0.7%
37.58381 1
0.7%
37.58387 1
0.7%
37.58387155 2
1.3%
37.58554 1
0.7%
37.58641014 1
0.7%
37.58745 1
0.7%
ValueCountFrequency (%)
37.620872 1
0.7%
37.62047 1
0.7%
37.61888 1
0.7%
37.618477 1
0.7%
37.61847041 2
1.3%
37.61598069 1
0.7%
37.615627 1
0.7%
37.615047 2
1.3%
37.61416648 1
0.7%
37.6136 1
0.7%

경도
Real number (ℝ)

Distinct138
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.35472
Minimum27.02084
Maximum127.06853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:04:04.294148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.02084
5-th percentile126.99733
Q1127.01048
median127.02108
Q3127.04028
95-th percentile127.05802
Maximum127.06853
Range100.0477
Interquartile range (IQR)0.0298

Descriptive statistics

Standard deviation8.192755
Coefficient of variation (CV)0.064839324
Kurtosis148.99842
Mean126.35472
Median Absolute Deviation (MAD)0.01216
Skewness-12.206459
Sum18826.854
Variance67.121234
MonotonicityNot monotonic
2023-12-13T06:04:04.459435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.03146 3
 
2.0%
127.01336 2
 
1.3%
127.0316983 2
 
1.3%
127.010506 2
 
1.3%
127.0193243 2
 
1.3%
127.0459809 2
 
1.3%
127.03145 2
 
1.3%
127.00857 2
 
1.3%
126.99534 2
 
1.3%
127.04104 2
 
1.3%
Other values (128) 128
85.9%
ValueCountFrequency (%)
27.02084 1
0.7%
126.99098 1
0.7%
126.9910324 1
0.7%
126.9943944 1
0.7%
126.99534 2
1.3%
126.99699 1
0.7%
126.9973036 1
0.7%
126.9973672 1
0.7%
127.0025558 1
0.7%
127.00283 1
0.7%
ValueCountFrequency (%)
127.068535 1
0.7%
127.0658631 1
0.7%
127.06431 1
0.7%
127.06128 1
0.7%
127.06005 1
0.7%
127.05975 1
0.7%
127.059654 1
0.7%
127.0580383 1
0.7%
127.0580032 1
0.7%
127.05796 1
0.7%

전화번호
Text

MISSING 

Distinct73
Distinct (%)98.6%
Missing75
Missing (%)50.3%
Memory size1.3 KiB
2023-12-13T06:04:04.713383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.364865
Min length9

Characters and Unicode

Total characters841
Distinct characters11
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

Unique72 ?
Unique (%)97.3%

Sample

1st row02-830-7804
2nd row02-942-7032
3rd row02-4998-4305
4th row02-943-3683
5th row02-942-7766
ValueCountFrequency (%)
02-830-7804 2
 
2.7%
02-926-0527 1
 
1.4%
02-924-0191 1
 
1.4%
02-909-5295 1
 
1.4%
02-922-5452 1
 
1.4%
02-744-7996 1
 
1.4%
02-924-0939 1
 
1.4%
070-8644-8175 1
 
1.4%
02-919-9257 1
 
1.4%
070-7321-7279 1
 
1.4%
Other values (63) 63
85.1%
2023-12-13T06:04:05.118074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 146
17.4%
0 133
15.8%
2 128
15.2%
9 95
11.3%
7 59
7.0%
1 58
 
6.9%
4 54
 
6.4%
3 47
 
5.6%
8 42
 
5.0%
5 42
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 695
82.6%
Dash Punctuation 146
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
19.1%
2 128
18.4%
9 95
13.7%
7 59
8.5%
1 58
8.3%
4 54
7.8%
3 47
 
6.8%
8 42
 
6.0%
5 42
 
6.0%
6 37
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 841
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 146
17.4%
0 133
15.8%
2 128
15.2%
9 95
11.3%
7 59
7.0%
1 58
 
6.9%
4 54
 
6.4%
3 47
 
5.6%
8 42
 
5.0%
5 42
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 146
17.4%
0 133
15.8%
2 128
15.2%
9 95
11.3%
7 59
7.0%
1 58
 
6.9%
4 54
 
6.4%
3 47
 
5.6%
8 42
 
5.0%
5 42
 
5.0%

행정동
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
성북동
13 
석관동
12 
종암동
11 
삼선동
11 
정릉4동
 
8
Other values (23)
94 

Length

Max length6
Median length3
Mean length3.5436242
Min length3

Unique

Unique5 ?
Unique (%)3.4%

Sample

1st row정릉4동
2nd row월곡1동
3rd row월곡1동
4th row석관동
5th row동선동

Common Values

ValueCountFrequency (%)
성북동 13
 
8.7%
석관동 12
 
8.1%
종암동 11
 
7.4%
삼선동 11
 
7.4%
정릉4동 8
 
5.4%
장위2동 8
 
5.4%
보문동 7
 
4.7%
동선동 7
 
4.7%
월곡1동 7
 
4.7%
장위1동 6
 
4.0%
Other values (18) 59
39.6%

Length

2023-12-13T06:04:05.307555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성북동 13
 
8.7%
석관동 12
 
8.1%
종암동 11
 
7.4%
삼선동 11
 
7.4%
정릉4동 8
 
5.4%
장위2동 8
 
5.4%
보문동 7
 
4.7%
동선동 7
 
4.7%
월곡1동 7
 
4.7%
장위1동 6
 
4.0%
Other values (18) 59
39.6%

Interactions

2023-12-13T06:04:00.495264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:00.315110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:00.583282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:04:00.419054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:04:05.420791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위도경도전화번호행정동
구분1.0000.0000.0000.0000.000
위도0.0001.0000.3261.0000.897
경도0.0000.3261.0001.0000.000
전화번호0.0001.0001.0001.0001.000
행정동0.0000.8970.0001.0001.000
2023-12-13T06:04:05.560194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정동
구분1.0000.000
행정동0.0001.000
2023-12-13T06:04:05.973572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분행정동
위도1.0000.4370.0000.559
경도0.4371.0000.0000.000
구분0.0000.0001.0000.000
행정동0.5590.0000.0001.000

Missing values

2023-12-13T06:04:00.678411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:04:00.794907image/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

구분협동조합명대표자사업내용주소위도경도전화번호행정동
0사회적협동조합한국웰니스사회적협동조합안홍준마을 자원 지역개발 컨설팅 등서울특별시 성북구 서경로 124 서경대본관 707호(정릉4동)37.615047127.0133602-830-7804정릉4동
1사회적협동조합한국의류자원순환사회적협동조합권혜원재활용 의류수거함 설치유지관리서울특별시 성북구 종암로34길 15-10(월곡1동)37.605553127.0328<NA>월곡1동
2사회적협동조합나무와열매사회적협동조합김경예장애인 활동지원, 돌봄서울특별시 성북구 동소문로 260, 길음환승주차빌딩 7층(길음2동)37.60412127.02583<NA>월곡1동
3사회적협동조합함께살이성북사회적협동조합김경서지역공동체 네트워크 협력서울특별시 성북구 돌곶이로22가길 12, 2층(석관동)37.60981127.059654<NA>석관동
4사회적협동조합너른마당 사회적협동조합배미영장애인 청소년 사회성 발달 및 심리 정서지원서울특별시 성북구 동소문로20다길 10, 세창빌딩(동선동)37.59165127.01735<NA>동선동
5사회적협동조합성북공동육아사회적협동조합박한나공동육아서울특별시 성북구 아리랑로19다길 38-14(정릉2동)37.599094127.007902-942-7032정릉2동
6사회적협동조합계성샛별사회적협동조합조수연교육서비스서울특별시 성북구 길음로 63(길음1동)37.60728127.0201402-4998-4305길음1동
7사회적협동조합마을인시장사회적협동조합이미경전통시장 서비스서울특별시 성북구 보국문로11길 18-2(정릉4동)37.60873127.00909402-943-3683정릉4동
8사회적협동조합청소년의숲사회적협동조합신희경청소년 마을학교, 지역커뮤니티서울특별시 성북구 서경로2길 21(정릉1동)37.60515127.0156102-942-7766정릉1동
9사회적협동조합행복한숲아이 사회적협동조합차일용숲활동 지원사업, 숲체험서비스서울특별시 성북구 한천로68길 39(석관동)37.609464127.06586302-965-9438석관동
구분협동조합명대표자사업내용주소위도경도전화번호행정동
139일반협동조합마인드푸드 협동조합연희경교육연구, 문화체험 사업서울특별시 성북구 성북로 170, 수월암37.59522126.99098<NA>성북동
140일반협동조합더이음문화예술교육협동조합이영욱문화예술교육 관련 콘텐츠개발서울특별시 성북구 종암로25길 29 (종암동, 마을사회적경제센터)37.60029127.03145<NA>종암동
141일반협동조합협동조합 소셜아트고래이해성예술콘텐츠개발, 소셜아트서비스 제공서울특별시 성북구 솔샘로6길 52, 지층(정릉동)37.60941127.00778070-8261-2117정릉동
142일반협동조합정릉골상인회협동조합임연민정릉골 지역상권 활성화 사업서울특별시 성북구 보국문로16길 34, 1층(정릉동)37.61162127.0094802-919-1300정릉동
143일반협동조합알록달록 협동조합신선화다문화 가족지원서울특별시 성북구 보문로 9537.58387127.01989<NA>보문동
144일반협동조합평화디엠지협동조합오홍석농촌체험, 역사문화현장 학습, DMZ평화통일 현장체험 및 국내외 여행업 관련 품목 유통 등서울특별시 성북구 화랑로11길 8, 2층 1호(하월곡동)37.60288127.0415602-957-6780하월곡동
145일반협동조합한국창의여성연구협동조합박화연정책연구과제, 정부 유관기관 해외사례 조사, 분석, 연구, 부분대행, 통계 등서울특별시 성북구 화랑로11길 17-9 모노빌딩 5층37.60326127.0410402-6215-1222하월곡동
146일반협동조합에너지협동조합 햇볕은쨍쨍이선임시민참여 신재생에너지발전소 건설 및 운영, 기후변화와 환경 및 재생에너지 관련 대중교육사업 등서울특별시 성북구 정릉로26가길 3037.60326127.04104<NA>정릉동
147일반협동조합IT융합기술 협동조합김유성정보통신업 사업, 교육서비스업서울특별시 성북구 한천로 713, 513동 601호37.62047127.053<NA>장위동
148일반협동조합협동조합 디에스엔터테인먼트김영규대중문화예술 제작업 등서울특별시 성북구 아리랑로19길 1137.60263127.01272<NA>정릉동