Overview

Dataset statistics

Number of variables11
Number of observations294
Missing cells40
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 KiB
Average record size in memory90.4 B

Variable types

Categorical5
Text4
Numeric2

Dataset

Description파주시 문화누리카드 가맹점에 대한 데이터로서 읍면동, 분야, 업체명, 주소, 위경도, 전화번호, 상세분야 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15113602/fileData.do

Alerts

관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
분야 is highly overall correlated with 상세분야High correlation
상세분야 is highly overall correlated with 분야High correlation
위도 is highly overall correlated with 읍면동High correlation
경도 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
소재지지번주소 has 12 (4.1%) missing valuesMissing
전화번호 has 27 (9.2%) missing valuesMissing

Reproduction

Analysis started2024-04-21 02:23:17.317570
Analysis finished2024-04-21 02:23:20.658682
Duration3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
탄현면
54 
교하동
38 
문산읍
28 
금촌1동
24 
운정3동
20 
Other values (15)
130 

Length

Max length4
Median length3
Mean length3.3877551
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
탄현면 54
18.4%
교하동 38
12.9%
문산읍 28
9.5%
금촌1동 24
 
8.2%
운정3동 20
 
6.8%
운정2동 17
 
5.8%
금촌2동 14
 
4.8%
운정5동 14
 
4.8%
조리읍 13
 
4.4%
운정1동 12
 
4.1%
Other values (10) 60
20.4%

Length

2024-04-21T11:23:20.759112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탄현면 54
18.4%
교하동 38
12.9%
문산읍 28
9.5%
금촌1동 24
 
8.2%
운정3동 20
 
6.8%
운정2동 17
 
5.8%
금촌2동 14
 
4.8%
운정5동 14
 
4.8%
조리읍 13
 
4.4%
운정1동 12
 
4.1%
Other values (10) 60
20.4%

분야
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
문화
159 
체육
69 
관광
66 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화 159
54.1%
체육 69
23.5%
관광 66
22.4%

Length

2024-04-21T11:23:20.922811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:21.040564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화 159
54.1%
체육 69
23.5%
관광 66
22.4%

업체명
Text

Distinct292
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-21T11:23:21.271809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length9.952381
Min length2

Characters and Unicode

Total characters2926
Distinct characters429
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

Unique290 ?
Unique (%)98.6%

Sample

1st row마을사진관
2nd row문산사진관
3rd row이영식사진관
4th rowCGV 파주문산
5th row스위티공예공간
ValueCountFrequency (%)
삼천리자전거 7
 
1.6%
파주 7
 
1.6%
주식회사 6
 
1.4%
파주점 6
 
1.4%
알파문구 5
 
1.1%
운정점 5
 
1.1%
롯데컬처웍스㈜롯데시네마 4
 
0.9%
경기 4
 
0.9%
메가박스 3
 
0.7%
워라밸 2
 
0.5%
Other values (365) 386
88.7%
2024-04-21T11:23:21.686914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
4.8%
) 94
 
3.2%
( 92
 
3.1%
주 81
 
2.8%
스 71
 
2.4%
파 69
 
2.4%
이 55
 
1.9%
점 50
 
1.7%
리 46
 
1.6%
사 44
 
1.5%
Other values (419) 2183
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2440
83.4%
Space Separator 141
 
4.8%
Close Punctuation 94
 
3.2%
Open Punctuation 92
 
3.1%
Uppercase Letter 79
 
2.7%
Lowercase Letter 51
 
1.7%
Other Symbol 14
 
0.5%
Decimal Number 11
 
0.4%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 81
 
3.3%
스 71
 
2.9%
파 69
 
2.8%
이 55
 
2.3%
점 50
 
2.0%
리 46
 
1.9%
사 44
 
1.8%
관 41
 
1.7%
문 36
 
1.5%
정 31
 
1.3%
Other values (365) 1916
78.5%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
8.9%
M 6
 
7.6%
B 6
 
7.6%
L 5
 
6.3%
C 5
 
6.3%
G 5
 
6.3%
E 4
 
5.1%
N 4
 
5.1%
U 4
 
5.1%
O 4
 
5.1%
Other values (14) 29
36.7%
Lowercase Letter
ValueCountFrequency (%)
o 9
17.6%
e 5
 
9.8%
n 4
 
7.8%
i 3
 
5.9%
l 3
 
5.9%
y 3
 
5.9%
a 3
 
5.9%
t 3
 
5.9%
s 3
 
5.9%
d 2
 
3.9%
Other values (8) 13
25.5%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
0 2
18.2%
1 2
18.2%
5 2
18.2%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2454
83.9%
Common 342
 
11.7%
Latin 130
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 81
 
3.3%
스 71
 
2.9%
파 69
 
2.8%
이 55
 
2.2%
점 50
 
2.0%
리 46
 
1.9%
사 44
 
1.8%
관 41
 
1.7%
문 36
 
1.5%
정 31
 
1.3%
Other values (366) 1930
78.6%
Latin
ValueCountFrequency (%)
o 9
 
6.9%
T 7
 
5.4%
M 6
 
4.6%
B 6
 
4.6%
e 5
 
3.8%
L 5
 
3.8%
C 5
 
3.8%
G 5
 
3.8%
n 4
 
3.1%
E 4
 
3.1%
Other values (32) 74
56.9%
Common
ValueCountFrequency (%)
141
41.2%
) 94
27.5%
( 92
26.9%
2 4
 
1.2%
0 2
 
0.6%
1 2
 
0.6%
5 2
 
0.6%
& 2
 
0.6%
- 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2440
83.4%
ASCII 472
 
16.1%
None 14
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
29.9%
) 94
19.9%
( 92
19.5%
o 9
 
1.9%
T 7
 
1.5%
M 6
 
1.3%
B 6
 
1.3%
e 5
 
1.1%
L 5
 
1.1%
C 5
 
1.1%
Other values (43) 102
21.6%
Hangul
ValueCountFrequency (%)
주 81
 
3.3%
스 71
 
2.9%
파 69
 
2.8%
이 55
 
2.3%
점 50
 
2.0%
리 46
 
1.9%
사 44
 
1.8%
관 41
 
1.7%
문 36
 
1.5%
정 31
 
1.3%
Other values (365) 1916
78.5%
None
ValueCountFrequency (%)
㈜ 14
100.0%

소재지도로명주소
Text

Distinct253
Distinct (%)86.3%
Missing1
Missing (%)0.3%
Memory size2.4 KiB
2024-04-21T11:23:21.995491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length18.617747
Min length13

Characters and Unicode

Total characters5455
Distinct characters167
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

Unique230 ?
Unique (%)78.5%

Sample

1st row경기도 파주시 문산읍 문산역로 141
2nd row경기도 파주시 문산읍 문향로 70
3rd row경기도 파주시 문산읍 문산역로 139
4th row경기도 파주시 문산읍 방촌로 1719-10
5th row경기도 파주시 문산읍 개포래로 34
ValueCountFrequency (%)
경기도 293
22.3%
파주시 293
22.3%
탄현면 54
 
4.1%
헤이리마을길 33
 
2.5%
문산읍 28
 
2.1%
회동길 24
 
1.8%
조리읍 13
 
1.0%
와석순환로 11
 
0.8%
청암로17번길 11
 
0.8%
법원읍 10
 
0.8%
Other values (347) 543
41.4%
2024-04-21T11:23:22.423552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1020
18.7%
파 307
 
5.6%
주 300
 
5.5%
기 300
 
5.5%
경 299
 
5.5%
시 296
 
5.4%
도 294
 
5.4%
1 210
 
3.8%
로 190
 
3.5%
길 143
 
2.6%
Other values (157) 2096
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3350
61.4%
Space Separator 1020
 
18.7%
Decimal Number 1003
 
18.4%
Dash Punctuation 82
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 307
 
9.2%
주 300
 
9.0%
기 300
 
9.0%
경 299
 
8.9%
시 296
 
8.8%
도 294
 
8.8%
로 190
 
5.7%
길 143
 
4.3%
면 85
 
2.5%
탄 63
 
1.9%
Other values (145) 1073
32.0%
Decimal Number
ValueCountFrequency (%)
1 210
20.9%
3 139
13.9%
2 126
12.6%
5 84
 
8.4%
4 83
 
8.3%
7 82
 
8.2%
6 79
 
7.9%
9 77
 
7.7%
0 64
 
6.4%
8 59
 
5.9%
Space Separator
ValueCountFrequency (%)
1020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3350
61.4%
Common 2105
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 307
 
9.2%
주 300
 
9.0%
기 300
 
9.0%
경 299
 
8.9%
시 296
 
8.8%
도 294
 
8.8%
로 190
 
5.7%
길 143
 
4.3%
면 85
 
2.5%
탄 63
 
1.9%
Other values (145) 1073
32.0%
Common
ValueCountFrequency (%)
1020
48.5%
1 210
 
10.0%
3 139
 
6.6%
2 126
 
6.0%
5 84
 
4.0%
4 83
 
3.9%
- 82
 
3.9%
7 82
 
3.9%
6 79
 
3.8%
9 77
 
3.7%
Other values (2) 123
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3350
61.4%
ASCII 2105
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1020
48.5%
1 210
 
10.0%
3 139
 
6.6%
2 126
 
6.0%
5 84
 
4.0%
4 83
 
3.9%
- 82
 
3.9%
7 82
 
3.9%
6 79
 
3.8%
9 77
 
3.7%
Other values (2) 123
 
5.8%
Hangul
ValueCountFrequency (%)
파 307
 
9.2%
주 300
 
9.0%
기 300
 
9.0%
경 299
 
8.9%
시 296
 
8.8%
도 294
 
8.8%
로 190
 
5.7%
길 143
 
4.3%
면 85
 
2.5%
탄 63
 
1.9%
Other values (145) 1073
32.0%

소재지지번주소
Text

MISSING 

Distinct241
Distinct (%)85.5%
Missing12
Missing (%)4.1%
Memory size2.4 KiB
2024-04-21T11:23:22.783695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.170213
Min length15

Characters and Unicode

Total characters5406
Distinct characters98
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

Unique218 ?
Unique (%)77.3%

Sample

1st row경기도 파주시 문산읍 문산리 17-185
2nd row경기도 파주시 문산읍 문산리 9-26
3rd row경기도 파주시 문산읍 문산리 17-186
4th row경기도 파주시 문산읍 당동리 892
5th row경기도 파주시 문산읍 문산리 35-8
ValueCountFrequency (%)
경기도 282
22.2%
파주시 282
22.2%
탄현면 53
 
4.2%
법흥리 35
 
2.7%
문발동 33
 
2.6%
금촌동 31
 
2.4%
문산읍 28
 
2.2%
동패동 19
 
1.5%
목동동 17
 
1.3%
문산리 15
 
1.2%
Other values (304) 478
37.5%
2024-04-21T11:23:23.309011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
992
18.3%
파 294
 
5.4%
주 290
 
5.4%
기 285
 
5.3%
도 283
 
5.2%
경 282
 
5.2%
시 282
 
5.2%
- 230
 
4.3%
동 215
 
4.0%
1 213
 
3.9%
Other values (88) 2040
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2972
55.0%
Decimal Number 1212
22.4%
Space Separator 992
 
18.3%
Dash Punctuation 230
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 294
9.9%
주 290
 
9.8%
기 285
 
9.6%
도 283
 
9.5%
경 282
 
9.5%
시 282
 
9.5%
동 215
 
7.2%
리 151
 
5.1%
면 82
 
2.8%
문 77
 
2.6%
Other values (76) 731
24.6%
Decimal Number
ValueCountFrequency (%)
1 213
17.6%
2 170
14.0%
5 151
12.5%
3 143
11.8%
6 115
9.5%
4 92
7.6%
9 91
7.5%
7 89
7.3%
0 74
 
6.1%
8 74
 
6.1%
Space Separator
ValueCountFrequency (%)
992
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2972
55.0%
Common 2434
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 294
9.9%
주 290
 
9.8%
기 285
 
9.6%
도 283
 
9.5%
경 282
 
9.5%
시 282
 
9.5%
동 215
 
7.2%
리 151
 
5.1%
면 82
 
2.8%
문 77
 
2.6%
Other values (76) 731
24.6%
Common
ValueCountFrequency (%)
992
40.8%
- 230
 
9.4%
1 213
 
8.8%
2 170
 
7.0%
5 151
 
6.2%
3 143
 
5.9%
6 115
 
4.7%
4 92
 
3.8%
9 91
 
3.7%
7 89
 
3.7%
Other values (2) 148
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2972
55.0%
ASCII 2434
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
992
40.8%
- 230
 
9.4%
1 213
 
8.8%
2 170
 
7.0%
5 151
 
6.2%
3 143
 
5.9%
6 115
 
4.7%
4 92
 
3.8%
9 91
 
3.7%
7 89
 
3.7%
Other values (2) 148
 
6.1%
Hangul
ValueCountFrequency (%)
파 294
9.9%
주 290
 
9.8%
기 285
 
9.6%
도 283
 
9.5%
경 282
 
9.5%
시 282
 
9.5%
동 215
 
7.2%
리 151
 
5.1%
면 82
 
2.8%
문 77
 
2.6%
Other values (76) 731
24.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct254
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.776232
Minimum37.699049
Maximum38.001075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-21T11:23:23.463305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.699049
5-th percentile37.708481
Q137.726135
median37.763307
Q337.791407
95-th percentile37.891829
Maximum38.001075
Range0.30202548
Interquartile range (IQR)0.06527158

Descriptive statistics

Standard deviation0.062693402
Coefficient of variation (CV)0.0016595991
Kurtosis0.84553823
Mean37.776232
Median Absolute Deviation (MAD)0.035673885
Skewness1.1295436
Sum11106.212
Variance0.0039304627
MonotonicityNot monotonic
2024-04-21T11:23:23.634920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.79140653 9
 
3.1%
37.70848115 7
 
2.4%
37.71029342 4
 
1.4%
37.72613495 3
 
1.0%
37.70751398 3
 
1.0%
37.72402922 3
 
1.0%
37.78950759 2
 
0.7%
37.79042089 2
 
0.7%
37.76487936 2
 
0.7%
37.77744452 2
 
0.7%
Other values (244) 257
87.4%
ValueCountFrequency (%)
37.69904934 1
 
0.3%
37.70296866 1
 
0.3%
37.70453653 2
 
0.7%
37.70572952 1
 
0.3%
37.70751398 3
1.0%
37.70763801 1
 
0.3%
37.70848115 7
2.4%
37.70882997 1
 
0.3%
37.70890728 1
 
0.3%
37.70935931 1
 
0.3%
ValueCountFrequency (%)
38.00107482 1
0.3%
37.96934813 2
0.7%
37.96230395 1
0.3%
37.96113004 1
0.3%
37.96024459 1
0.3%
37.95506675 1
0.3%
37.95497454 1
0.3%
37.93663192 1
0.3%
37.90630562 2
0.7%
37.90075358 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct254
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.75787
Minimum126.68359
Maximum126.99215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-21T11:23:23.804883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68359
5-th percentile126.68679
Q1126.69957
median126.75131
Q3126.78303
95-th percentile126.88066
Maximum126.99215
Range0.3085686
Interquartile range (IQR)0.08346375

Descriptive statistics

Standard deviation0.062017426
Coefficient of variation (CV)0.000489259
Kurtosis1.1628117
Mean126.75787
Median Absolute Deviation (MAD)0.03615485
Skewness1.0896821
Sum37266.812
Variance0.0038461612
MonotonicityNot monotonic
2024-04-21T11:23:24.004169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6962488 9
 
3.1%
126.6867933 7
 
2.4%
126.6878339 4
 
1.4%
126.7177714 3
 
1.0%
126.6875815 3
 
1.0%
126.7513065 3
 
1.0%
126.6993783 2
 
0.7%
126.6849976 2
 
0.7%
126.7745263 2
 
0.7%
126.6876939 2
 
0.7%
Other values (244) 257
87.4%
ValueCountFrequency (%)
126.6835861 1
0.3%
126.6849046 2
0.7%
126.6849976 2
0.7%
126.685002 1
0.3%
126.6854948 1
0.3%
126.686076 1
0.3%
126.6861473 1
0.3%
126.6862666 1
0.3%
126.6863742 1
0.3%
126.686417 1
0.3%
ValueCountFrequency (%)
126.9921547 1
0.3%
126.9579228 1
0.3%
126.9519163 2
0.7%
126.9244097 1
0.3%
126.9232971 1
0.3%
126.9220532 1
0.3%
126.9204693 1
0.3%
126.919089 1
0.3%
126.9164736 1
0.3%
126.9094268 1
0.3%

전화번호
Text

MISSING 

Distinct245
Distinct (%)91.8%
Missing27
Missing (%)9.2%
Memory size2.4 KiB
2024-04-21T11:23:24.280320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.921348
Min length9

Characters and Unicode

Total characters3183
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)86.5%

Sample

1st row070-4134-3629
2nd row031-952-7217
3rd row031-952-1125
4th row1544-1122
5th row031-953-0798
ValueCountFrequency (%)
1544-8855 4
 
1.5%
1544-7788 3
 
1.1%
031-955-3333 3
 
1.1%
031-955-0081 3
 
1.1%
031-940-5235 3
 
1.1%
1644-2992 3
 
1.1%
1544-0070 3
 
1.1%
1544-1122 2
 
0.7%
031-946-9838 2
 
0.7%
031-958-3600 2
 
0.7%
Other values (235) 239
89.5%
2024-04-21T11:23:24.682278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 515
16.2%
0 461
14.5%
1 380
11.9%
3 361
11.3%
9 339
10.7%
4 282
8.9%
5 270
8.5%
7 179
 
5.6%
8 158
 
5.0%
2 131
 
4.1%
Other values (2) 107
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2667
83.8%
Dash Punctuation 515
 
16.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 461
17.3%
1 380
14.2%
3 361
13.5%
9 339
12.7%
4 282
10.6%
5 270
10.1%
7 179
 
6.7%
8 158
 
5.9%
2 131
 
4.9%
6 106
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 515
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 515
16.2%
0 461
14.5%
1 380
11.9%
3 361
11.3%
9 339
10.7%
4 282
8.9%
5 270
8.5%
7 179
 
5.6%
8 158
 
5.0%
2 131
 
4.1%
Other values (2) 107
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 515
16.2%
0 461
14.5%
1 380
11.9%
3 361
11.3%
9 339
10.7%
4 282
8.9%
5 270
8.5%
7 179
 
5.6%
8 158
 
5.0%
2 131
 
4.1%
Other values (2) 107
 
3.4%

상세분야
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
체육시설
55 
도서
44 
전시
25 
문화체험
23 
숙박
22 
Other values (18)
125 

Length

Max length7
Median length5
Mean length3.0680272
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row사진관
2nd row사진관
3rd row사진관
4th row영화
5th row문화체험

Common Values

ValueCountFrequency (%)
체육시설 55
18.7%
도서 44
15.0%
전시 25
8.5%
문화체험 23
7.8%
숙박 22
 
7.5%
사진관 20
 
6.8%
공예 19
 
6.5%
영화 14
 
4.8%
체육용품 14
 
4.8%
체험관광 10
 
3.4%
Other values (13) 48
16.3%

Length

2024-04-21T11:23:24.823344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육시설 55
18.7%
도서 44
15.0%
전시 25
8.5%
문화체험 23
7.8%
숙박 22
 
7.5%
사진관 20
 
6.8%
공예 19
 
6.5%
영화 14
 
4.8%
체육용품 14
 
4.8%
체험관광 10
 
3.4%
Other values (13) 48
16.3%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
031-940-8547
294 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-8547
2nd row031-940-8547
3rd row031-940-8547
4th row031-940-8547
5th row031-940-8547

Common Values

ValueCountFrequency (%)
031-940-8547 294
100.0%

Length

2024-04-21T11:23:24.943736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:25.032366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-8547 294
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-04
294 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-04
2nd row2024-04-04
3rd row2024-04-04
4th row2024-04-04
5th row2024-04-04

Common Values

ValueCountFrequency (%)
2024-04-04 294
100.0%

Length

2024-04-21T11:23:25.127931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:23:25.232857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-04 294
100.0%

Interactions

2024-04-21T11:23:19.951952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:23:19.689943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:23:20.065798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:23:19.852905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:23:25.289623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동분야위도경도상세분야
읍면동1.0000.6420.9560.9570.649
분야0.6421.0000.5000.5351.000
위도0.9560.5001.0000.9110.605
경도0.9570.5350.9111.0000.612
상세분야0.6491.0000.6050.6121.000
2024-04-21T11:23:25.389866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야상세분야읍면동
분야1.0000.9650.421
상세분야0.9651.0000.233
읍면동0.4210.2331.000
2024-04-21T11:23:25.488998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동분야상세분야
위도1.0000.4360.6570.3430.266
경도0.4361.0000.6610.3750.270
읍면동0.6570.6611.0000.4210.233
분야0.3430.3750.4211.0000.965
상세분야0.2660.2700.2330.9651.000

Missing values

2024-04-21T11:23:20.277907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:23:20.455633image/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.
2024-04-21T11:23:20.587056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

읍면동분야업체명소재지도로명주소소재지지번주소위도경도전화번호상세분야관리부서전화번호데이터기준일자
0문산읍문화마을사진관경기도 파주시 문산읍 문산역로 141경기도 파주시 문산읍 문산리 17-18537.858949126.787327070-4134-3629사진관031-940-85472024-04-04
1문산읍문화문산사진관경기도 파주시 문산읍 문향로 70경기도 파주시 문산읍 문산리 9-2637.857957126.785481031-952-7217사진관031-940-85472024-04-04
2문산읍문화이영식사진관경기도 파주시 문산읍 문산역로 139경기도 파주시 문산읍 문산리 17-18637.858847126.787317031-952-1125사진관031-940-85472024-04-04
3문산읍문화CGV 파주문산경기도 파주시 문산읍 방촌로 1719-10경기도 파주시 문산읍 당동리 89237.866645126.7840941544-1122영화031-940-85472024-04-04
4문산읍문화스위티공예공간경기도 파주시 문산읍 개포래로 34경기도 파주시 문산읍 문산리 35-837.852754126.784898<NA>문화체험031-940-85472024-04-04
5문산읍문화봄사진관경기도 파주시 문산읍 문향로 31경기도 파주시 문산읍 문산리 21-237.854784126.785812031-953-0798사진관031-940-85472024-04-04
6문산읍문화중앙문구서적경기도 파주시 문산읍 문향로67번길 16경기도 파주시 문산읍 문산리 61-1037.858365126.784405031-953-9667도서031-940-85472024-04-04
7문산읍문화임진각평화누리(경기관광공사)경기도 파주시 문산읍 임진각로 148-33경기도 파주시 문산읍 마정리 1320-137.890302126.742241031-259-4700문화체험031-940-85472024-04-04
8문산읍문화결보컬교습소경기도 파주시 문산읍 방촌로 1719경기도 파주시 문산읍 당동리 89937.866076126.784358<NA>문화체험031-940-85472024-04-04
9문산읍문화파란문구경기도 파주시 문산읍 독서울1길 39경기도 파주시 문산읍 선유리 139437.867923126.801365<NA>공예031-940-85472024-04-04
읍면동분야업체명소재지도로명주소소재지지번주소위도경도전화번호상세분야관리부서전화번호데이터기준일자
284금촌2동체육비룡태권도장경기도 파주시 후곡로 77경기도 파주시 금촌동 100837.749573126.774159031-948-5020체육시설031-940-85472024-04-04
285금촌2동체육Top태권도경기도 파주시 새꽃로 62경기도 파주시 금촌동 246-3737.755555126.768898031-946-6661체육시설031-940-85472024-04-04
286금촌2동체육삼천리자전거 금촌금릉점경기도 파주시 금빛로 15경기도 파주시 금촌동 986-537.750934126.76664031-941-7477체육용품031-940-85472024-04-04
287금촌2동체육용인대태비태권도경기도 파주시 쇠재로 128경기도 파주시 금릉동 433-137.752618126.777844031-942-0114체육시설031-940-85472024-04-04
288금촌3동문화율곡서점경기도 파주시 정담길 30경기도 파주시 아동동 275-1437.769589126.77723031-946-6589도서031-940-85472024-04-04
289금촌3동관광캠핑고래 파주점경기도 파주시 월롱산로 31<NA>37.779544126.766162031-941-8890휴양림/캠핑장031-940-85472024-04-04
290금촌3동체육사랑가득상무태권도장(상무태권도)경기도 파주시 송화로 13경기도 파주시 야동동 72-637.771668126.775048031-941-9119체육시설031-940-85472024-04-04
291금촌3동체육늘픔스포츠(성공)경기도 파주시 시청로 310경기도 파주시 야동동 94-2037.768863126.765302031-957-2714체육용품031-940-85472024-04-04
292금촌3동체육스타핀((주)태륜)경기도 파주시 월롱산로 68경기도 파주시 야동동 259-337.782104126.763812070-4612-8585체육시설031-940-85472024-04-04
293금촌3동체육비호태권도장경기도 파주시 경의로 1821경기도 파주시 아동동 298-237.768344126.777298031-944-8808체육시설031-940-85472024-04-04