Overview

Dataset statistics

Number of variables8
Number of observations5077
Missing cells2623
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.4 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical1
DateTime2
Text4

Dataset

Description세종특별자치시에 있는 일반음식점, 휴게음식점 현황(2023.1.31.)을 제공합니다 음식점명, 업종, 허가일자, 주소, 전화번호 정보를 제공합니다
Author세종특별자치시
URLhttps://www.data.go.kr/data/15112311/fileData.do

Alerts

등록기준일 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 2583 (50.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:49:01.002597
Analysis finished2023-12-12 19:49:03.057346
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2539
Minimum1
Maximum5077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2023-12-13T04:49:03.261078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile254.8
Q11270
median2539
Q33808
95-th percentile4823.2
Maximum5077
Range5076
Interquartile range (IQR)2538

Descriptive statistics

Standard deviation1465.748
Coefficient of variation (CV)0.57729342
Kurtosis-1.2
Mean2539
Median Absolute Deviation (MAD)1269
Skewness0
Sum12890503
Variance2148417.2
MonotonicityStrictly increasing
2023-12-13T04:49:03.469700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3384 1
 
< 0.1%
3391 1
 
< 0.1%
3390 1
 
< 0.1%
3389 1
 
< 0.1%
3388 1
 
< 0.1%
3387 1
 
< 0.1%
3386 1
 
< 0.1%
3385 1
 
< 0.1%
3383 1
 
< 0.1%
Other values (5067) 5067
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5077 1
< 0.1%
5076 1
< 0.1%
5075 1
< 0.1%
5074 1
< 0.1%
5073 1
< 0.1%
5072 1
< 0.1%
5071 1
< 0.1%
5070 1
< 0.1%
5069 1
< 0.1%
5068 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
일반음식점
3831 
휴게음식점
1246 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3831
75.5%
휴게음식점 1246
 
24.5%

Length

2023-12-13T04:49:03.614386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:49:03.745575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3831
75.5%
휴게음식점 1246
 
24.5%

인허가일자
Date

Distinct2575
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
Minimum1968-08-05 00:00:00
Maximum2023-01-31 00:00:00
2023-12-13T04:49:03.878234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:49:04.037768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct5038
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-13T04:49:04.418553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length7.8134725
Min length1

Characters and Unicode

Total characters39669
Distinct characters957
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5003 ?
Unique (%)98.5%

Sample

1st row세종식당
2nd row더비
3rd row맛샘식당
4th row조치원집
5th row내집닭갈비
ValueCountFrequency (%)
세종점 193
 
2.3%
조치원점 83
 
1.0%
세종나성점 67
 
0.8%
세종시청점 66
 
0.8%
카페 65
 
0.8%
세종 55
 
0.7%
씨유 47
 
0.6%
세종아름점 46
 
0.6%
세븐일레븐 45
 
0.5%
세종새롬점 42
 
0.5%
Other values (5405) 7581
91.4%
2023-12-13T04:49:04.991924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3216
 
8.1%
점 1788
 
4.5%
세 1321
 
3.3%
종 1305
 
3.3%
이 673
 
1.7%
스 632
 
1.6%
리 453
 
1.1%
치 451
 
1.1%
) 396
 
1.0%
( 396
 
1.0%
Other values (947) 29038
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32660
82.3%
Space Separator 3216
 
8.1%
Uppercase Letter 1198
 
3.0%
Lowercase Letter 988
 
2.5%
Decimal Number 630
 
1.6%
Close Punctuation 398
 
1.0%
Open Punctuation 398
 
1.0%
Other Punctuation 166
 
0.4%
Dash Punctuation 11
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1788
 
5.5%
세 1321
 
4.0%
종 1305
 
4.0%
이 673
 
2.1%
스 632
 
1.9%
리 453
 
1.4%
치 451
 
1.4%
피 351
 
1.1%
마 341
 
1.0%
식 341
 
1.0%
Other values (867) 25004
76.6%
Uppercase Letter
ValueCountFrequency (%)
C 122
 
10.2%
S 102
 
8.5%
E 98
 
8.2%
G 93
 
7.8%
A 81
 
6.8%
B 78
 
6.5%
O 70
 
5.8%
F 63
 
5.3%
T 53
 
4.4%
P 46
 
3.8%
Other values (16) 392
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 164
16.6%
a 104
10.5%
o 96
 
9.7%
s 58
 
5.9%
i 57
 
5.8%
n 54
 
5.5%
r 54
 
5.5%
f 50
 
5.1%
t 48
 
4.9%
l 44
 
4.5%
Other values (15) 259
26.2%
Other Punctuation
ValueCountFrequency (%)
& 84
50.6%
, 28
 
16.9%
. 17
 
10.2%
· 8
 
4.8%
' 8
 
4.8%
: 7
 
4.2%
! 4
 
2.4%
; 3
 
1.8%
# 3
 
1.8%
/ 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 142
22.5%
1 111
17.6%
5 92
14.6%
0 71
11.3%
4 44
 
7.0%
9 44
 
7.0%
3 42
 
6.7%
7 36
 
5.7%
8 29
 
4.6%
6 19
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 396
99.5%
] 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 396
99.5%
[ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
3216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32622
82.2%
Common 4823
 
12.2%
Latin 2186
 
5.5%
Han 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1788
 
5.5%
세 1321
 
4.0%
종 1305
 
4.0%
이 673
 
2.1%
스 632
 
1.9%
리 453
 
1.4%
치 451
 
1.4%
피 351
 
1.1%
마 341
 
1.0%
식 341
 
1.0%
Other values (838) 24966
76.5%
Latin
ValueCountFrequency (%)
e 164
 
7.5%
C 122
 
5.6%
a 104
 
4.8%
S 102
 
4.7%
E 98
 
4.5%
o 96
 
4.4%
G 93
 
4.3%
A 81
 
3.7%
B 78
 
3.6%
O 70
 
3.2%
Other values (41) 1178
53.9%
Common
ValueCountFrequency (%)
3216
66.7%
) 396
 
8.2%
( 396
 
8.2%
2 142
 
2.9%
1 111
 
2.3%
5 92
 
1.9%
& 84
 
1.7%
0 71
 
1.5%
4 44
 
0.9%
9 44
 
0.9%
Other values (19) 227
 
4.7%
Han
ValueCountFrequency (%)
家 4
 
10.5%
眞 2
 
5.3%
夜 2
 
5.3%
米 2
 
5.3%
辛 2
 
5.3%
香 2
 
5.3%
樂 2
 
5.3%
都 1
 
2.6%
情 1
 
2.6%
金 1
 
2.6%
Other values (19) 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32620
82.2%
ASCII 6996
 
17.6%
CJK 35
 
0.1%
None 10
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3216
46.0%
) 396
 
5.7%
( 396
 
5.7%
e 164
 
2.3%
2 142
 
2.0%
C 122
 
1.7%
1 111
 
1.6%
a 104
 
1.5%
S 102
 
1.5%
E 98
 
1.4%
Other values (67) 2145
30.7%
Hangul
ValueCountFrequency (%)
점 1788
 
5.5%
세 1321
 
4.0%
종 1305
 
4.0%
이 673
 
2.1%
스 632
 
1.9%
리 453
 
1.4%
치 451
 
1.4%
피 351
 
1.1%
마 341
 
1.0%
식 341
 
1.0%
Other values (836) 24964
76.5%
None
ValueCountFrequency (%)
· 8
80.0%
＆ 2
 
20.0%
CJK
ValueCountFrequency (%)
家 4
 
11.4%
眞 2
 
5.7%
夜 2
 
5.7%
米 2
 
5.7%
辛 2
 
5.7%
香 2
 
5.7%
都 1
 
2.9%
情 1
 
2.9%
金 1
 
2.9%
宴 1
 
2.9%
Other values (17) 17
48.6%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 2
66.7%
李 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅁ 1
50.0%

소재지(도로명)
Text

Distinct4934
Distinct (%)97.9%
Missing39
Missing (%)0.8%
Memory size39.8 KiB
2023-12-13T04:49:05.597308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length57
Mean length34.676657
Min length15

Characters and Unicode

Total characters174701
Distinct characters475
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4844 ?
Unique (%)96.1%

Sample

1st row세종특별자치시 조치원읍 조치원8길 34-6
2nd row세종특별자치시 조치원읍 조치원로 3-1, 1층
3rd row세종특별자치시 조치원읍 조치원8길 32
4th row세종특별자치시 조치원읍 조치원8길 30
5th row세종특별자치시 금남면 대평시장1길 3
ValueCountFrequency (%)
세종특별자치시 5039
 
15.7%
1층 2749
 
8.5%
조치원읍 1043
 
3.2%
2층 637
 
2.0%
한누리대로 591
 
1.8%
나성동 573
 
1.8%
어진동 369
 
1.1%
보람동 359
 
1.1%
도담동 260
 
0.8%
보듬3로 252
 
0.8%
Other values (3227) 20300
63.1%
2023-12-13T04:49:06.393361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27145
 
15.5%
1 11990
 
6.9%
치 6298
 
3.6%
, 6095
 
3.5%
종 5934
 
3.4%
세 5833
 
3.3%
시 5700
 
3.3%
자 5278
 
3.0%
2 5064
 
2.9%
별 5041
 
2.9%
Other values (465) 90323
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98752
56.5%
Decimal Number 33373
 
19.1%
Space Separator 27145
 
15.5%
Other Punctuation 6137
 
3.5%
Open Punctuation 3383
 
1.9%
Close Punctuation 3383
 
1.9%
Dash Punctuation 1113
 
0.6%
Uppercase Letter 918
 
0.5%
Math Symbol 194
 
0.1%
Lowercase Letter 192
 
0.1%
Other values (2) 111
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 6298
 
6.4%
종 5934
 
6.0%
세 5833
 
5.9%
시 5700
 
5.8%
자 5278
 
5.3%
별 5041
 
5.1%
특 5041
 
5.1%
동 4139
 
4.2%
층 3939
 
4.0%
로 3758
 
3.8%
Other values (406) 47791
48.4%
Uppercase Letter
ValueCountFrequency (%)
B 260
28.3%
A 231
25.2%
S 77
 
8.4%
C 48
 
5.2%
G 46
 
5.0%
R 45
 
4.9%
F 42
 
4.6%
M 36
 
3.9%
K 26
 
2.8%
T 25
 
2.7%
Other values (11) 82
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
l 50
26.0%
e 38
19.8%
a 36
18.8%
i 29
15.1%
v 27
14.1%
b 3
 
1.6%
s 2
 
1.0%
d 2
 
1.0%
h 2
 
1.0%
r 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 11990
35.9%
2 5064
15.2%
0 3775
 
11.3%
3 3054
 
9.2%
4 2054
 
6.2%
5 1802
 
5.4%
6 1560
 
4.7%
8 1401
 
4.2%
7 1388
 
4.2%
9 1285
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 6095
99.3%
& 24
 
0.4%
· 6
 
0.1%
. 5
 
0.1%
@ 4
 
0.1%
/ 3
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 48
43.6%
Ⅱ 42
38.2%
Ⅲ 17
 
15.5%
Ⅵ 2
 
1.8%
Ⅳ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
27145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 194
100.0%
Other Number
ValueCountFrequency (%)
① 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98752
56.5%
Common 74729
42.8%
Latin 1220
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 6298
 
6.4%
종 5934
 
6.0%
세 5833
 
5.9%
시 5700
 
5.8%
자 5278
 
5.3%
별 5041
 
5.1%
특 5041
 
5.1%
동 4139
 
4.2%
층 3939
 
4.0%
로 3758
 
3.8%
Other values (406) 47791
48.4%
Latin
ValueCountFrequency (%)
B 260
21.3%
A 231
18.9%
S 77
 
6.3%
l 50
 
4.1%
C 48
 
3.9%
Ⅰ 48
 
3.9%
G 46
 
3.8%
R 45
 
3.7%
F 42
 
3.4%
Ⅱ 42
 
3.4%
Other values (27) 331
27.1%
Common
ValueCountFrequency (%)
27145
36.3%
1 11990
16.0%
, 6095
 
8.2%
2 5064
 
6.8%
0 3775
 
5.1%
( 3383
 
4.5%
) 3383
 
4.5%
3 3054
 
4.1%
4 2054
 
2.7%
5 1802
 
2.4%
Other values (12) 6984
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98752
56.5%
ASCII 75832
43.4%
Number Forms 110
 
0.1%
None 6
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27145
35.8%
1 11990
15.8%
, 6095
 
8.0%
2 5064
 
6.7%
0 3775
 
5.0%
( 3383
 
4.5%
) 3383
 
4.5%
3 3054
 
4.0%
4 2054
 
2.7%
5 1802
 
2.4%
Other values (42) 8087
 
10.7%
Hangul
ValueCountFrequency (%)
치 6298
 
6.4%
종 5934
 
6.0%
세 5833
 
5.9%
시 5700
 
5.8%
자 5278
 
5.3%
별 5041
 
5.1%
특 5041
 
5.1%
동 4139
 
4.2%
층 3939
 
4.0%
로 3758
 
3.8%
Other values (406) 47791
48.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 48
43.6%
Ⅱ 42
38.2%
Ⅲ 17
 
15.5%
Ⅵ 2
 
1.8%
Ⅳ 1
 
0.9%
None
ValueCountFrequency (%)
· 6
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
100.0%

소재지(지번)
Text

Distinct2908
Distinct (%)57.3%
Missing1
Missing (%)< 0.1%
Memory size39.8 KiB
2023-12-13T04:49:06.963129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length24.149724
Min length14

Characters and Unicode

Total characters122584
Distinct characters420
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2265 ?
Unique (%)44.6%

Sample

1st row세종특별자치시 조치원읍 정리 24-4
2nd row세종특별자치시 조치원읍 원리 10-25 1층
3rd row세종특별자치시 조치원읍 정리 24-7
4th row세종특별자치시 조치원읍 정리 24-1
5th row세종특별자치시 금남면 용포리 193-26
ValueCountFrequency (%)
세종특별자치시 5077
 
23.2%
조치원읍 1051
 
4.8%
나성동 573
 
2.6%
어진동 372
 
1.7%
보람동 359
 
1.6%
1층 303
 
1.4%
도담동 260
 
1.2%
고운동 231
 
1.1%
금남면 216
 
1.0%
침산리 212
 
1.0%
Other values (3073) 13231
60.5%
2023-12-13T04:49:07.820779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21551
 
17.6%
치 6197
 
5.1%
종 5701
 
4.7%
세 5569
 
4.5%
시 5471
 
4.5%
자 5270
 
4.3%
별 5079
 
4.1%
특 5078
 
4.1%
1 4491
 
3.7%
동 3368
 
2.7%
Other values (410) 54809
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75949
62.0%
Space Separator 21553
 
17.6%
Decimal Number 21176
 
17.3%
Dash Punctuation 2515
 
2.1%
Uppercase Letter 372
 
0.3%
Open Punctuation 298
 
0.2%
Close Punctuation 298
 
0.2%
Other Punctuation 164
 
0.1%
Lowercase Letter 151
 
0.1%
Letter Number 100
 
0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 6197
 
8.2%
종 5701
 
7.5%
세 5569
 
7.3%
시 5471
 
7.2%
자 5270
 
6.9%
별 5079
 
6.7%
특 5078
 
6.7%
동 3368
 
4.4%
리 2267
 
3.0%
원 1320
 
1.7%
Other values (354) 30629
40.3%
Uppercase Letter
ValueCountFrequency (%)
S 65
17.5%
R 47
12.6%
A 42
11.3%
B 42
11.3%
M 33
8.9%
G 28
7.5%
K 23
 
6.2%
T 22
 
5.9%
W 22
 
5.9%
N 14
 
3.8%
Other values (8) 34
9.1%
Decimal Number
ValueCountFrequency (%)
1 4491
21.2%
2 2701
12.8%
6 2210
10.4%
7 2195
10.4%
3 2154
10.2%
5 1722
 
8.1%
4 1701
 
8.0%
0 1453
 
6.9%
9 1332
 
6.3%
8 1217
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 40
26.5%
e 33
21.9%
i 24
15.9%
v 22
14.6%
a 20
13.2%
c 4
 
2.6%
s 2
 
1.3%
d 2
 
1.3%
r 2
 
1.3%
h 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 122
74.4%
& 19
 
11.6%
. 8
 
4.9%
· 6
 
3.7%
@ 5
 
3.0%
/ 4
 
2.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 41
41.0%
Ⅱ 40
40.0%
Ⅲ 18
18.0%
Ⅳ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
21551
> 99.9%
　 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
∼ 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 2515
100.0%
Open Punctuation
ValueCountFrequency (%)
( 298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Other Number
ValueCountFrequency (%)
① 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75949
62.0%
Common 46012
37.5%
Latin 623
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 6197
 
8.2%
종 5701
 
7.5%
세 5569
 
7.3%
시 5471
 
7.2%
자 5270
 
6.9%
별 5079
 
6.7%
특 5078
 
6.7%
동 3368
 
4.4%
리 2267
 
3.0%
원 1320
 
1.7%
Other values (354) 30629
40.3%
Latin
ValueCountFrequency (%)
S 65
 
10.4%
R 47
 
7.5%
A 42
 
6.7%
B 42
 
6.7%
Ⅰ 41
 
6.6%
Ⅱ 40
 
6.4%
l 40
 
6.4%
M 33
 
5.3%
e 33
 
5.3%
G 28
 
4.5%
Other values (22) 212
34.0%
Common
ValueCountFrequency (%)
21551
46.8%
1 4491
 
9.8%
2 2701
 
5.9%
- 2515
 
5.5%
6 2210
 
4.8%
7 2195
 
4.8%
3 2154
 
4.7%
5 1722
 
3.7%
4 1701
 
3.7%
0 1453
 
3.2%
Other values (14) 3319
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75949
62.0%
ASCII 46525
38.0%
Number Forms 100
 
0.1%
None 8
 
< 0.1%
Math Operators 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21551
46.3%
1 4491
 
9.7%
2 2701
 
5.8%
- 2515
 
5.4%
6 2210
 
4.8%
7 2195
 
4.7%
3 2154
 
4.6%
5 1722
 
3.7%
4 1701
 
3.7%
0 1453
 
3.1%
Other values (38) 3832
 
8.2%
Hangul
ValueCountFrequency (%)
치 6197
 
8.2%
종 5701
 
7.5%
세 5569
 
7.3%
시 5471
 
7.2%
자 5270
 
6.9%
별 5079
 
6.7%
특 5078
 
6.7%
동 3368
 
4.4%
리 2267
 
3.0%
원 1320
 
1.7%
Other values (354) 30629
40.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 41
41.0%
Ⅱ 40
40.0%
Ⅲ 18
18.0%
Ⅳ 1
 
1.0%
None
ValueCountFrequency (%)
· 6
75.0%
　 2
 
25.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
100.0%

소재지전화
Text

MISSING 

Distinct2431
Distinct (%)97.5%
Missing2583
Missing (%)50.9%
Memory size39.8 KiB
2023-12-13T04:49:08.466457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.080994
Min length3

Characters and Unicode

Total characters30130
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

Unique2376 ?
Unique (%)95.3%

Sample

1st row044-865-3356
2nd row044-865-1292
3rd row044-862-1435
4th row044-865-3021
5th row044-865-6661
ValueCountFrequency (%)
044-862-4004 5
 
0.2%
044-861-5540 5
 
0.2%
044-279-3300 3
 
0.1%
044-866-7766 3
 
0.1%
044-866-3592 2
 
0.1%
044-863-2349 2
 
0.1%
044-868-9294 2
 
0.1%
044-862-3862 2
 
0.1%
044-865-7078 2
 
0.1%
044-868-5356 2
 
0.1%
Other values (2418) 2467
98.9%
2023-12-13T04:49:08.979187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5937
19.7%
- 4986
16.5%
0 3819
12.7%
8 3701
12.3%
6 3446
11.4%
2 1623
 
5.4%
5 1561
 
5.2%
7 1421
 
4.7%
3 1306
 
4.3%
9 1164
 
3.9%
Other values (2) 1166
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24982
82.9%
Dash Punctuation 4986
 
16.5%
Space Separator 162
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5937
23.8%
0 3819
15.3%
8 3701
14.8%
6 3446
13.8%
2 1623
 
6.5%
5 1561
 
6.2%
7 1421
 
5.7%
3 1306
 
5.2%
9 1164
 
4.7%
1 1004
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 4986
100.0%
Space Separator
ValueCountFrequency (%)
162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5937
19.7%
- 4986
16.5%
0 3819
12.7%
8 3701
12.3%
6 3446
11.4%
2 1623
 
5.4%
5 1561
 
5.2%
7 1421
 
4.7%
3 1306
 
4.3%
9 1164
 
3.9%
Other values (2) 1166
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5937
19.7%
- 4986
16.5%
0 3819
12.7%
8 3701
12.3%
6 3446
11.4%
2 1623
 
5.4%
5 1561
 
5.2%
7 1421
 
4.7%
3 1306
 
4.3%
9 1164
 
3.9%
Other values (2) 1166
 
3.9%

등록기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
Minimum2023-02-10 00:00:00
Maximum2023-02-10 00:00:00
2023-12-13T04:49:09.174932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:49:09.321069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:49:02.498965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:49:09.419215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.994
업종명0.9941.000
2023-12-13T04:49:09.542388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.930
업종명0.9301.000

Missing values

2023-12-13T04:49:02.657244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:49:02.826346image/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.
2023-12-13T04:49:02.973903image/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

연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화등록기준일
01일반음식점1968-08-05세종식당세종특별자치시 조치원읍 조치원8길 34-6세종특별자치시 조치원읍 정리 24-4044-865-33562023-02-10
12일반음식점1968-08-06더비세종특별자치시 조치원읍 조치원로 3-1, 1층세종특별자치시 조치원읍 원리 10-25 1층044-865-12922023-02-10
23일반음식점1969-02-10맛샘식당세종특별자치시 조치원읍 조치원8길 32세종특별자치시 조치원읍 정리 24-7044-862-14352023-02-10
34일반음식점1969-09-02조치원집세종특별자치시 조치원읍 조치원8길 30세종특별자치시 조치원읍 정리 24-1044-865-30212023-02-10
45일반음식점1972-05-20내집닭갈비세종특별자치시 금남면 대평시장1길 3세종특별자치시 금남면 용포리 193-26<NA>2023-02-10
56일반음식점1973-11-16어순이와돈돌이세종특별자치시 조치원읍 새내12길 14세종특별자치시 조치원읍 원리 15-4044-865-66612023-02-10
67일반음식점1975-02-24삼거리식당세종특별자치시 조치원읍 충현로 63세종특별자치시 조치원읍 죽림리 32-8044-865-31012023-02-10
78일반음식점1976-05-14형제반점세종특별자치시 조치원읍 새내5길 8세종특별자치시 조치원읍 정리 99-3044-866-66072023-02-10
89일반음식점1976-05-18춘화식당세종특별자치시 금남면 용포로 79세종특별자치시 금남면 용포리 193-35044-866-70212023-02-10
910일반음식점1976-05-10부민식당세종특별자치시 연동면 내송길 12세종특별자치시 연동면 내판리 13-5044-864-70182023-02-10
연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화등록기준일
50675068휴게음식점2023-01-04샐라세종특별자치시 한누리대로 2003, 펠리체타워3 1층 108호 (소담동)세종특별자치시 소담동 574 펠리체타워3<NA>2023-02-10
50685069휴게음식점2023-01-05보타닉아쿠아세종특별자치시 시청대로 127, 강남프라자 2층 205우측호 (보람동)세종특별자치시 보람동 705 강남프라자<NA>2023-02-10
50695070휴게음식점2023-01-11빽다방 세종고운하모니점세종특별자치시 마음로 272-28, 하모니타워Ⅱ 1층 102호 (고운동)세종특별자치시 고운동 1380 하모니타워Ⅱ<NA>2023-02-10
50705071휴게음식점2023-01-12카페 루앤비 세종전의산업단지점세종특별자치시 전의면 산단길 22-8, 1층 101호세종특별자치시 전의면 관정리 726<NA>2023-02-10
50715072휴게음식점2023-01-13감성 세종청사점세종특별자치시 도움8로 81, 세종일번가 A동 1층 108호 (어진동)세종특별자치시 어진동 608 세종일번가<NA>2023-02-10
50725073휴게음식점2023-01-16무지개 카페세종특별자치시 조치원읍 죽림로 25, 2층세종특별자치시 조치원읍 죽림리 153-3<NA>2023-02-10
50735074휴게음식점2023-01-17호두네세종특별자치시 한누리대로 2143, 금강시티타워 1층 112호 (보람동)세종특별자치시 보람동 742 금강시티타워 112호<NA>2023-02-10
50745075휴게음식점2023-01-18참토스트 세종소담점세종특별자치시 소담1로 16, 지엘플렉스2 1층 111호 (소담동)세종특별자치시 소담동 580 지엘플렉스2 111호<NA>2023-02-10
50755076휴게음식점2023-01-25노브랜드버거 세종아름점세종특별자치시 보듬3로 101, 1층 105,106호 (아름동)세종특별자치시 아름동 1358<NA>2023-02-10
50765077휴게음식점2023-01-26지엠에스(GMS)기림밀크샵세종특별자치시 가온로 8, 1층 102호 (다정동)세종특별자치시 다정동 971<NA>2023-02-10