Overview

Dataset statistics

Number of variables6
Number of observations848
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.9 KiB
Average record size in memory48.2 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description성남시 문화유통업(노래연습장업, 인터넷컴퓨터게임시설제공업, 복합유통게임제공업, 일반게임제공업, 청소년게임제공업, 비디오물감상실업)현황입니다. (구별,업종,상호명,소재지)
URLhttps://www.data.go.kr/data/3073822/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구별 is highly overall correlated with 동별High correlation
동별 is highly overall correlated with 구별High correlation

Reproduction

Analysis started2023-12-12 17:57:48.136876
Analysis finished2023-12-12 17:57:48.850343
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
중원구
317 
수정구
309 
분당구
222 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중원구 317
37.4%
수정구 309
36.4%
분당구 222
26.2%

Length

2023-12-13T02:57:48.911315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:57:49.022367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중원구 317
37.4%
수정구 309
36.4%
분당구 222
26.2%

동별
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
신흥동
116 
상대원동
104 
수진동
100 
성남동
87 
금광동
61 
Other values (25)
380 

Length

Max length4
Median length3
Mean length3.1273585
Min length2

Unique

Unique6 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
신흥동 116
13.7%
상대원동 104
12.3%
수진동 100
11.8%
성남동 87
10.3%
금광동 61
 
7.2%
야탑동 59
 
7.0%
정자동 44
 
5.2%
구미동 40
 
4.7%
서현동 36
 
4.2%
은행동 32
 
3.8%
Other values (20) 169
19.9%

Length

2023-12-13T02:57:49.157890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신흥동 116
13.7%
상대원동 104
12.3%
수진동 100
11.8%
성남동 87
10.3%
금광동 61
 
7.2%
야탑동 59
 
7.0%
정자동 44
 
5.2%
구미동 40
 
4.7%
서현동 36
 
4.2%
은행동 32
 
3.8%
Other values (20) 169
19.9%

업종
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
노래연습장업
488 
인터넷컴퓨터게임시설제공업
245 
일반게임제공업
53 
청소년게임제공업
 
42
복합유통게임제공업
 
20

Length

Max length13
Median length6
Mean length8.254717
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 488
57.5%
인터넷컴퓨터게임시설제공업 245
28.9%
일반게임제공업 53
 
6.2%
청소년게임제공업 42
 
5.0%
복합유통게임제공업 20
 
2.4%

Length

2023-12-13T02:57:49.352577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:57:49.501177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 488
57.5%
인터넷컴퓨터게임시설제공업 245
28.9%
일반게임제공업 53
 
6.2%
청소년게임제공업 42
 
5.0%
복합유통게임제공업 20
 
2.4%

상호명
Text

Distinct749
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-13T02:57:49.927510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length7.5707547
Min length1

Characters and Unicode

Total characters6420
Distinct characters467
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)80.7%

Sample

1st row스타노래연습장
2nd row퀸
3rd row코러스 노래연습장
4th row논골 노래연습장
5th row팡팡 노래연습장
ValueCountFrequency (%)
노래연습장 261
 
19.9%
pc 39
 
3.0%
pc방 21
 
1.6%
코인노래연습장 19
 
1.4%
팡팡 9
 
0.7%
짱 8
 
0.6%
cafe 6
 
0.5%
게임장 6
 
0.5%
여기서놀자 6
 
0.5%
필 5
 
0.4%
Other values (780) 934
71.1%
2023-12-13T02:57:50.574406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 488
 
7.6%
468
 
7.3%
노 467
 
7.3%
래 462
 
7.2%
연 459
 
7.1%
습 456
 
7.1%
P 260
 
4.0%
C 256
 
4.0%
스 118
 
1.8%
이 84
 
1.3%
Other values (457) 2902
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5065
78.9%
Uppercase Letter 709
 
11.0%
Space Separator 468
 
7.3%
Decimal Number 57
 
0.9%
Lowercase Letter 57
 
0.9%
Open Punctuation 21
 
0.3%
Close Punctuation 21
 
0.3%
Other Punctuation 18
 
0.3%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 488
 
9.6%
노 467
 
9.2%
래 462
 
9.1%
연 459
 
9.1%
습 456
 
9.0%
스 118
 
2.3%
이 84
 
1.7%
방 76
 
1.5%
임 71
 
1.4%
게 71
 
1.4%
Other values (397) 2313
45.7%
Uppercase Letter
ValueCountFrequency (%)
P 260
36.7%
C 256
36.1%
O 27
 
3.8%
M 14
 
2.0%
A 14
 
2.0%
E 13
 
1.8%
K 12
 
1.7%
N 11
 
1.6%
J 11
 
1.6%
B 10
 
1.4%
Other values (16) 81
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
15.8%
c 8
14.0%
a 7
12.3%
i 6
10.5%
l 5
8.8%
t 3
 
5.3%
f 3
 
5.3%
p 3
 
5.3%
u 2
 
3.5%
w 2
 
3.5%
Other values (7) 9
15.8%
Decimal Number
ValueCountFrequency (%)
2 14
24.6%
3 10
17.5%
0 10
17.5%
1 9
15.8%
8 5
 
8.8%
9 4
 
7.0%
7 3
 
5.3%
4 1
 
1.8%
6 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 9
50.0%
& 7
38.9%
' 1
 
5.6%
, 1
 
5.6%
Space Separator
ValueCountFrequency (%)
468
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5065
78.9%
Latin 766
 
11.9%
Common 589
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 488
 
9.6%
노 467
 
9.2%
래 462
 
9.1%
연 459
 
9.1%
습 456
 
9.0%
스 118
 
2.3%
이 84
 
1.7%
방 76
 
1.5%
임 71
 
1.4%
게 71
 
1.4%
Other values (397) 2313
45.7%
Latin
ValueCountFrequency (%)
P 260
33.9%
C 256
33.4%
O 27
 
3.5%
M 14
 
1.8%
A 14
 
1.8%
E 13
 
1.7%
K 12
 
1.6%
N 11
 
1.4%
J 11
 
1.4%
B 10
 
1.3%
Other values (33) 138
18.0%
Common
ValueCountFrequency (%)
468
79.5%
( 21
 
3.6%
) 21
 
3.6%
2 14
 
2.4%
3 10
 
1.7%
0 10
 
1.7%
1 9
 
1.5%
. 9
 
1.5%
& 7
 
1.2%
8 5
 
0.8%
Other values (7) 15
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5065
78.9%
ASCII 1355
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 488
 
9.6%
노 467
 
9.2%
래 462
 
9.1%
연 459
 
9.1%
습 456
 
9.0%
스 118
 
2.3%
이 84
 
1.7%
방 76
 
1.5%
임 71
 
1.4%
게 71
 
1.4%
Other values (397) 2313
45.7%
ASCII
ValueCountFrequency (%)
468
34.5%
P 260
19.2%
C 256
18.9%
O 27
 
2.0%
( 21
 
1.5%
) 21
 
1.5%
2 14
 
1.0%
M 14
 
1.0%
A 14
 
1.0%
E 13
 
1.0%
Other values (50) 247
18.2%

소재지도로명주소
Text

Distinct834
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-13T02:57:50.918855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length32.991745
Min length23

Characters and Unicode

Total characters27977
Distinct characters247
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique820 ?
Unique (%)96.7%

Sample

1st row경기도 성남시 수정구 산성대로 413 (단대동)
2nd row경기도 성남시 수정구 논골로 13 (단대동)
3rd row경기도 성남시 수정구 논골로 11 (단대동)
4th row경기도 성남시 수정구 산성대로475번길 8, 지층 (단대동)
5th row경기도 성남시 수정구 산성대로 435 (단대동)
ValueCountFrequency (%)
경기도 848
 
14.4%
성남시 848
 
14.4%
중원구 317
 
5.4%
수정구 309
 
5.3%
분당구 222
 
3.8%
1층 123
 
2.1%
신흥동 109
 
1.9%
수진동 90
 
1.5%
상대원동 89
 
1.5%
2층 89
 
1.5%
Other values (958) 2832
48.2%
2023-12-13T02:57:51.596385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5045
 
18.0%
성 1155
 
4.1%
1 1093
 
3.9%
남 1087
 
3.9%
구 896
 
3.2%
시 886
 
3.2%
동 873
 
3.1%
도 865
 
3.1%
) 854
 
3.1%
( 854
 
3.1%
Other values (237) 14369
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16113
57.6%
Space Separator 5045
 
18.0%
Decimal Number 4091
 
14.6%
Close Punctuation 854
 
3.1%
Open Punctuation 854
 
3.1%
Other Punctuation 819
 
2.9%
Dash Punctuation 141
 
0.5%
Uppercase Letter 51
 
0.2%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 1155
 
7.2%
남 1087
 
6.7%
구 896
 
5.6%
시 886
 
5.5%
동 873
 
5.4%
도 865
 
5.4%
로 853
 
5.3%
경 849
 
5.3%
기 848
 
5.3%
수 549
 
3.4%
Other values (212) 7252
45.0%
Decimal Number
ValueCountFrequency (%)
1 1093
26.7%
2 584
14.3%
3 506
12.4%
0 411
 
10.0%
4 330
 
8.1%
5 318
 
7.8%
6 267
 
6.5%
7 215
 
5.3%
8 208
 
5.1%
9 159
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 36
70.6%
S 5
 
9.8%
C 3
 
5.9%
R 3
 
5.9%
A 2
 
3.9%
N 1
 
2.0%
G 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 817
99.8%
. 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5045
100.0%
Close Punctuation
ValueCountFrequency (%)
) 854
100.0%
Open Punctuation
ValueCountFrequency (%)
( 854
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16113
57.6%
Common 11813
42.2%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 1155
 
7.2%
남 1087
 
6.7%
구 896
 
5.6%
시 886
 
5.5%
동 873
 
5.4%
도 865
 
5.4%
로 853
 
5.3%
경 849
 
5.3%
기 848
 
5.3%
수 549
 
3.4%
Other values (212) 7252
45.0%
Common
ValueCountFrequency (%)
5045
42.7%
1 1093
 
9.3%
) 854
 
7.2%
( 854
 
7.2%
, 817
 
6.9%
2 584
 
4.9%
3 506
 
4.3%
0 411
 
3.5%
4 330
 
2.8%
5 318
 
2.7%
Other values (8) 1001
 
8.5%
Latin
ValueCountFrequency (%)
B 36
70.6%
S 5
 
9.8%
C 3
 
5.9%
R 3
 
5.9%
A 2
 
3.9%
N 1
 
2.0%
G 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16113
57.6%
ASCII 11864
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5045
42.5%
1 1093
 
9.2%
) 854
 
7.2%
( 854
 
7.2%
, 817
 
6.9%
2 584
 
4.9%
3 506
 
4.3%
0 411
 
3.5%
4 330
 
2.8%
5 318
 
2.7%
Other values (15) 1052
 
8.9%
Hangul
ValueCountFrequency (%)
성 1155
 
7.2%
남 1087
 
6.7%
구 896
 
5.6%
시 886
 
5.5%
동 873
 
5.4%
도 865
 
5.4%
로 853
 
5.3%
경 849
 
5.3%
기 848
 
5.3%
수 549
 
3.4%
Other values (212) 7252
45.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2023-06-22 00:00:00
Maximum2023-06-22 00:00:00
2023-12-13T02:57:51.768643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:57:51.893644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T02:57:51.986075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별업종
구별1.0001.0000.273
동별1.0001.0000.540
업종0.2730.5401.000
2023-12-13T02:57:52.098735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구별동별
업종1.0000.2140.261
구별0.2141.0000.984
동별0.2610.9841.000
2023-12-13T02:57:52.227735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별업종
구별1.0000.9840.214
동별0.9841.0000.261
업종0.2140.2611.000

Missing values

2023-12-13T02:57:48.696371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:57:48.806654image/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

구별동별업종상호명소재지도로명주소데이터기준일자
0수정구단대동노래연습장업스타노래연습장경기도 성남시 수정구 산성대로 413 (단대동)2023-06-22
1수정구단대동노래연습장업퀸경기도 성남시 수정구 논골로 13 (단대동)2023-06-22
2수정구단대동노래연습장업코러스 노래연습장경기도 성남시 수정구 논골로 11 (단대동)2023-06-22
3수정구단대동노래연습장업논골 노래연습장경기도 성남시 수정구 산성대로475번길 8, 지층 (단대동)2023-06-22
4수정구단대동노래연습장업팡팡 노래연습장경기도 성남시 수정구 산성대로 435 (단대동)2023-06-22
5수정구단대동노래연습장업뉴나이스 노래연습장경기도 성남시 수정구 산성대로 431 (단대동)2023-06-22
6수정구복정동노래연습장업라이브 노래연습장경기도 성남시 수정구 성남대로 1524 (복정동)2023-06-22
7수정구복정동노래연습장업락휴 노래연습장경기도 성남시 수정구 복정로 57 (복정동)2023-06-22
8수정구복정동노래연습장업스마트 코인노래연습장경기도 성남시 수정구 복정로 69, 지하1층 (복정동)2023-06-22
9수정구복정동노래연습장업레몬트리노래연습장경기도 성남시 수정구 복정로 63 (복정동)2023-06-22
구별동별업종상호명소재지도로명주소데이터기준일자
838분당구금곡동일반게임제공업노다지게임랜드경기도 성남시 분당구 성남대로 165, 천사의도시1 오피스텔 지하1층 (금곡동)2023-06-22
839분당구금곡동일반게임제공업월드성인게임장경기도 성남시 분당구 성남대로 170, 지하1층 106호 (금곡동)2023-06-22
840분당구서현동청소년게임제공업대빵오락실경기도 성남시 분당구 서현로210번길 10, 다두프라자 1층 101-6호 (서현동)2023-06-22
841분당구서현동청소년게임제공업퍼니펀 플스방경기도 성남시 분당구 서현로210번길 10, 다두프라자 401호 (서현동)2023-06-22
842분당구서현동청소년게임제공업게임파크경기도 성남시 분당구 서현로210번길 14, 유성트윈프라자2차 201,203호 (서현동)2023-06-22
843분당구서현동청소년게임제공업새별기업 더게임경기도 성남시 분당구 서현로210번길 2, 성지하이츠텔 지하1층 B01,B02,B03호 (서현동)2023-06-22
844분당구서현동청소년게임제공업타이토스테이션 (주)피에프엔터테인먼트분당점경기도 성남시 분당구 서현로210번길 20, 코코프라자 지하1층 (서현동)2023-06-22
845분당구서현동청소년게임제공업서현짱노리터 2호점경기도 성남시 분당구 황새울로360번길 12, 대명프라자 102호 (서현동)2023-06-22
846분당구야탑동청소년게임제공업스위치(Switch)경기도 성남시 분당구 성남대로925번길 16, 지하2층 933호 (야탑동, 성남(분당)여객자동차터미널)2023-06-22
847분당구야탑동청소년게임제공업메가플스 야탑점경기도 성남시 분당구 성남대로926번길 20, 야탑동빌딩 302호 (야탑동)2023-06-22