Overview

Dataset statistics

Number of variables7
Number of observations1992
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.1 KiB
Average record size in memory56.1 B

Variable types

Text2
Categorical4
DateTime1

Dataset

Description서울특별시 관악구 장난감도서관 대여 현황에 대한 데이터로 등록번호, 지점명, 장난감명, 상품분류, 등록일자, 도로명주소, 전화번호 등 항목을 제공합니다.
Author서울특별시 관악구
URLhttps://www.data.go.kr/data/3075788/fileData.do

Alerts

지점명 has constant value ""Constant
도로명주소 has constant value ""Constant
전화번호 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:40:42.859280
Analysis finished2023-12-12 10:40:43.610964
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct1992
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
2023-12-12T19:40:43.945566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters13944
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1992 ?
Unique (%)100.0%

Sample

1st rowT000245
2nd rowT000260
3rd rowT000421
4th rowT000422
5th rowT000424
ValueCountFrequency (%)
t000245 1
 
0.1%
t210439 1
 
0.1%
t210404 1
 
0.1%
t210403 1
 
0.1%
t210402 1
 
0.1%
t210401 1
 
0.1%
t210400 1
 
0.1%
t210399 1
 
0.1%
t210398 1
 
0.1%
t210397 1
 
0.1%
Other values (1982) 1982
99.5%
2023-12-12T19:40:44.540827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3373
24.2%
T 1992
14.3%
1 1961
14.1%
2 1670
12.0%
5 948
 
6.8%
4 842
 
6.0%
6 679
 
4.9%
9 648
 
4.6%
8 619
 
4.4%
3 615
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11952
85.7%
Uppercase Letter 1992
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3373
28.2%
1 1961
16.4%
2 1670
14.0%
5 948
 
7.9%
4 842
 
7.0%
6 679
 
5.7%
9 648
 
5.4%
8 619
 
5.2%
3 615
 
5.1%
7 597
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
T 1992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11952
85.7%
Latin 1992
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3373
28.2%
1 1961
16.4%
2 1670
14.0%
5 948
 
7.9%
4 842
 
7.0%
6 679
 
5.7%
9 648
 
5.4%
8 619
 
5.2%
3 615
 
5.1%
7 597
 
5.0%
Latin
ValueCountFrequency (%)
T 1992
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3373
24.2%
T 1992
14.3%
1 1961
14.1%
2 1670
12.0%
5 948
 
6.8%
4 842
 
6.0%
6 679
 
4.9%
9 648
 
4.6%
8 619
 
4.4%
3 615
 
4.4%

지점명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
꿈노리숲
1992 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
꿈노리숲 1992
100.0%

Length

2023-12-12T19:40:44.699848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:44.830531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
꿈노리숲 1992
100.0%
Distinct1146
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
2023-12-12T19:40:45.142097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length9.063253
Min length2

Characters and Unicode

Total characters18054
Distinct characters673
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

Unique508 ?
Unique (%)25.5%

Sample

1st row걸음마붕붕카
2nd rowTOMY 걸음마&붕붕카
3rd row볼링놀이
4th row볼링놀이
5th row볼링놀이
ValueCountFrequency (%)
뽀로로 44
 
1.1%
세트 34
 
0.8%
퍼즐 30
 
0.7%
원목 30
 
0.7%
22
 
0.5%
블록 21
 
0.5%
멜로디 21
 
0.5%
핑크퐁 21
 
0.5%
알파벳 20
 
0.5%
맥포머스 20
 
0.5%
Other values (1543) 3791
93.5%
2023-12-12T19:40:45.790752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2062
 
11.4%
692
 
3.8%
462
 
2.6%
414
 
2.3%
364
 
2.0%
315
 
1.7%
281
 
1.6%
255
 
1.4%
211
 
1.2%
210
 
1.2%
Other values (663) 12788
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14963
82.9%
Space Separator 2062
 
11.4%
Decimal Number 342
 
1.9%
Lowercase Letter 268
 
1.5%
Dash Punctuation 126
 
0.7%
Uppercase Letter 115
 
0.6%
Close Punctuation 75
 
0.4%
Open Punctuation 75
 
0.4%
Other Punctuation 24
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
692
 
4.6%
462
 
3.1%
414
 
2.8%
364
 
2.4%
315
 
2.1%
281
 
1.9%
255
 
1.7%
211
 
1.4%
210
 
1.4%
186
 
1.2%
Other values (597) 11573
77.3%
Lowercase Letter
ValueCountFrequency (%)
c 37
13.8%
s 35
13.1%
l 32
11.9%
p 30
11.2%
a 24
9.0%
o 22
8.2%
r 15
 
5.6%
n 12
 
4.5%
e 11
 
4.1%
i 8
 
3.0%
Other values (11) 42
15.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
12.2%
C 13
11.3%
A 11
9.6%
P 11
9.6%
Q 9
 
7.8%
E 8
 
7.0%
N 7
 
6.1%
X 6
 
5.2%
S 5
 
4.3%
O 5
 
4.3%
Other values (11) 26
22.6%
Decimal Number
ValueCountFrequency (%)
1 91
26.6%
2 51
14.9%
4 42
12.3%
3 34
 
9.9%
6 30
 
8.8%
0 30
 
8.8%
8 24
 
7.0%
5 22
 
6.4%
9 12
 
3.5%
7 6
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 13
54.2%
/ 3
 
12.5%
? 2
 
8.3%
! 2
 
8.3%
2
 
8.3%
: 2
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 73
97.3%
] 2
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 73
97.3%
[ 2
 
2.7%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
~ 2
50.0%
Space Separator
ValueCountFrequency (%)
2062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14963
82.9%
Common 2708
 
15.0%
Latin 383
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
692
 
4.6%
462
 
3.1%
414
 
2.8%
364
 
2.4%
315
 
2.1%
281
 
1.9%
255
 
1.7%
211
 
1.4%
210
 
1.4%
186
 
1.2%
Other values (597) 11573
77.3%
Latin
ValueCountFrequency (%)
c 37
 
9.7%
s 35
 
9.1%
l 32
 
8.4%
p 30
 
7.8%
a 24
 
6.3%
o 22
 
5.7%
r 15
 
3.9%
B 14
 
3.7%
C 13
 
3.4%
n 12
 
3.1%
Other values (32) 149
38.9%
Common
ValueCountFrequency (%)
2062
76.1%
- 126
 
4.7%
1 91
 
3.4%
) 73
 
2.7%
( 73
 
2.7%
2 51
 
1.9%
4 42
 
1.6%
3 34
 
1.3%
6 30
 
1.1%
0 30
 
1.1%
Other values (14) 96
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14963
82.9%
ASCII 3089
 
17.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2062
66.8%
- 126
 
4.1%
1 91
 
2.9%
) 73
 
2.4%
( 73
 
2.4%
2 51
 
1.7%
4 42
 
1.4%
c 37
 
1.2%
s 35
 
1.1%
3 34
 
1.1%
Other values (55) 465
 
15.1%
Hangul
ValueCountFrequency (%)
692
 
4.6%
462
 
3.1%
414
 
2.8%
364
 
2.4%
315
 
2.1%
281
 
1.9%
255
 
1.7%
211
 
1.4%
210
 
1.4%
186
 
1.2%
Other values (597) 11573
77.3%
None
ValueCountFrequency (%)
2
100.0%

상품분류
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
탐색조작
958 
역할
563 
신체
287 
음률
184 

Length

Max length4
Median length2
Mean length2.9618474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
탐색조작 958
48.1%
역할 563
28.3%
신체 287
 
14.4%
음률 184
 
9.2%

Length

2023-12-12T19:40:45.992108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:46.154905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탐색조작 958
48.1%
역할 563
28.3%
신체 287
 
14.4%
음률 184
 
9.2%
Distinct106
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
Minimum2009-08-26 00:00:00
Maximum2022-08-04 00:00:00
2023-12-12T19:40:46.346889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:40:46.558515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
서울특별시 관악구 남부순환로 1491+ 2층
1992 

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 관악구 남부순환로 1491+ 2층
2nd row서울특별시 관악구 남부순환로 1491+ 2층
3rd row서울특별시 관악구 남부순환로 1491+ 2층
4th row서울특별시 관악구 남부순환로 1491+ 2층
5th row서울특별시 관악구 남부순환로 1491+ 2층

Common Values

ValueCountFrequency (%)
서울특별시 관악구 남부순환로 1491+ 2층 1992
100.0%

Length

2023-12-12T19:40:46.733252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:46.863464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 1992
20.0%
관악구 1992
20.0%
남부순환로 1992
20.0%
1491 1992
20.0%
2층 1992
20.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
02-871-2836
1992 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-871-2836
2nd row02-871-2836
3rd row02-871-2836
4th row02-871-2836
5th row02-871-2836

Common Values

ValueCountFrequency (%)
02-871-2836 1992
100.0%

Length

2023-12-12T19:40:46.991146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:40:47.095919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-871-2836 1992
100.0%

Missing values

2023-12-12T19:40:43.393093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:40:43.544091image/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

등록번호지점명장난감명상품분류등록일자도로명주소전화번호
0T000245꿈노리숲걸음마붕붕카신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1T000260꿈노리숲TOMY 걸음마&붕붕카신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
2T000421꿈노리숲볼링놀이신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
3T000422꿈노리숲볼링놀이신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
4T000424꿈노리숲볼링놀이신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
5T000425꿈노리숲흔들 코끼리(파랑)신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
6T000490꿈노리숲파란말신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
7T000491꿈노리숲파란말신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
8T000496꿈노리숲걸음마붕붕카신체2009-08-26서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
9T000609꿈노리숲카메라탐색조작2010-09-18서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
등록번호지점명장난감명상품분류등록일자도로명주소전화번호
1982T211064꿈노리숲픽 마이 애플 게임탐색조작2022-06-02서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1983T211065꿈노리숲과학원리학습 건설현장세트탐색조작2022-06-02서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1984T211066꿈노리숲페라리 F1경주로탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1985T211067꿈노리숲페라리 F1경주로탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1986T211068꿈노리숲페라리 운전연습 2 in 1탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1987T211069꿈노리숲페라리 운전연습 2 in 1탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1988T211070꿈노리숲페라리 신호등길탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1989T211071꿈노리숲페라리 신호등길탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1990T211072꿈노리숲페라리 신호등길탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836
1991T211073꿈노리숲페라리 시티 드라이빙탐색조작2022-08-04서울특별시 관악구 남부순환로 1491+ 2층02-871-2836