Overview

Dataset statistics

Number of variables5
Number of observations3631
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory145.5 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description경상북도 경산시의 음식점(일반음식점 및 휴게음식점) 현황으로 업종명, 업태명, 소재지 등의 항목을 제공하는 데이터입니다.
Author경상북도 경산시
URLhttps://www.data.go.kr/data/15036149/fileData.do

Alerts

업종명 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 03:54:44.231095
Analysis finished2024-03-23 03:54:48.555454
Duration4.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3631
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1816
Minimum1
Maximum3631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.0 KiB
2024-03-23T03:54:49.052761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile182.5
Q1908.5
median1816
Q32723.5
95-th percentile3449.5
Maximum3631
Range3630
Interquartile range (IQR)1815

Descriptive statistics

Standard deviation1048.3237
Coefficient of variation (CV)0.57727078
Kurtosis-1.2
Mean1816
Median Absolute Deviation (MAD)908
Skewness0
Sum6593896
Variance1098982.7
MonotonicityStrictly increasing
2024-03-23T03:54:49.988031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2441 1
 
< 0.1%
2415 1
 
< 0.1%
2416 1
 
< 0.1%
2417 1
 
< 0.1%
2418 1
 
< 0.1%
2419 1
 
< 0.1%
2420 1
 
< 0.1%
2421 1
 
< 0.1%
2422 1
 
< 0.1%
Other values (3621) 3621
99.7%
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 (%)
3631 1
< 0.1%
3630 1
< 0.1%
3629 1
< 0.1%
3628 1
< 0.1%
3627 1
< 0.1%
3626 1
< 0.1%
3625 1
< 0.1%
3624 1
< 0.1%
3623 1
< 0.1%
3622 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
일반음식점
3631 

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 3631
100.0%

Length

2024-03-23T03:54:50.829491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:54:51.803392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3631
100.0%

업태명
Categorical

Distinct22
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
한식
1331 
기타
521 
식육(숯불구이)
422 
호프/통닭
316 
분식
195 
Other values (17)
846 

Length

Max length15
Median length2
Mean length3.6631782
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row한식
3rd row한식
4th row식육(숯불구이)
5th row한식

Common Values

ValueCountFrequency (%)
한식 1331
36.7%
기타 521
 
14.3%
식육(숯불구이) 422
 
11.6%
호프/통닭 316
 
8.7%
분식 195
 
5.4%
경양식 172
 
4.7%
중국식 171
 
4.7%
정종/대포집/소주방 109
 
3.0%
통닭(치킨) 90
 
2.5%
일식 70
 
1.9%
Other values (12) 234
 
6.4%

Length

2024-03-23T03:54:52.365457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1331
36.7%
기타 521
 
14.3%
식육(숯불구이 422
 
11.6%
호프/통닭 316
 
8.7%
분식 195
 
5.4%
경양식 172
 
4.7%
중국식 171
 
4.7%
정종/대포집/소주방 109
 
3.0%
통닭(치킨 90
 
2.5%
일식 70
 
1.9%
Other values (12) 234
 
6.4%

업소명
Text

Distinct3520
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
2024-03-23T03:54:53.361691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length6.5833104
Min length1

Characters and Unicode

Total characters23904
Distinct characters881
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3426 ?
Unique (%)94.4%

Sample

1st row대구식육식당
2nd row경산개발(주)그릴
3rd row중남식당
4th row원조 남산식육식당
5th row대운통닭
ValueCountFrequency (%)
경산점 104
 
2.2%
하양점 52
 
1.1%
영남대점 28
 
0.6%
경산하양점 25
 
0.5%
사동점 20
 
0.4%
진량점 18
 
0.4%
경산사동점 17
 
0.4%
영대점 17
 
0.4%
중산점 14
 
0.3%
경산영대점 12
 
0.3%
Other values (3840) 4416
93.5%
2024-03-23T03:54:55.588753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1092
 
4.6%
점 852
 
3.6%
산 554
 
2.3%
식 476
 
2.0%
이 411
 
1.7%
경 410
 
1.7%
당 369
 
1.5%
대 348
 
1.5%
) 311
 
1.3%
( 311
 
1.3%
Other values (871) 18770
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20973
87.7%
Space Separator 1092
 
4.6%
Uppercase Letter 523
 
2.2%
Lowercase Letter 368
 
1.5%
Close Punctuation 311
 
1.3%
Open Punctuation 311
 
1.3%
Decimal Number 236
 
1.0%
Other Punctuation 80
 
0.3%
Dash Punctuation 5
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 852
 
4.1%
산 554
 
2.6%
식 476
 
2.3%
이 411
 
2.0%
경 410
 
2.0%
당 369
 
1.8%
대 348
 
1.7%
리 298
 
1.4%
치 263
 
1.3%
마 250
 
1.2%
Other values (795) 16742
79.8%
Uppercase Letter
ValueCountFrequency (%)
C 49
 
9.4%
A 49
 
9.4%
O 46
 
8.8%
B 35
 
6.7%
E 35
 
6.7%
N 34
 
6.5%
T 27
 
5.2%
R 25
 
4.8%
H 24
 
4.6%
F 19
 
3.6%
Other values (16) 180
34.4%
Lowercase Letter
ValueCountFrequency (%)
a 42
 
11.4%
e 41
 
11.1%
o 37
 
10.1%
i 27
 
7.3%
n 22
 
6.0%
r 19
 
5.2%
l 18
 
4.9%
k 16
 
4.3%
s 15
 
4.1%
h 15
 
4.1%
Other values (13) 116
31.5%
Decimal Number
ValueCountFrequency (%)
0 51
21.6%
1 41
17.4%
2 32
13.6%
9 23
9.7%
3 20
 
8.5%
5 18
 
7.6%
8 17
 
7.2%
6 12
 
5.1%
4 11
 
4.7%
7 11
 
4.7%
Other Punctuation
ValueCountFrequency (%)
& 43
53.8%
. 14
 
17.5%
, 9
 
11.2%
· 3
 
3.8%
: 3
 
3.8%
? 2
 
2.5%
! 2
 
2.5%
# 2
 
2.5%
' 2
 
2.5%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1092
100.0%
Close Punctuation
ValueCountFrequency (%)
) 311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20960
87.7%
Common 2038
 
8.5%
Latin 893
 
3.7%
Han 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 852
 
4.1%
산 554
 
2.6%
식 476
 
2.3%
이 411
 
2.0%
경 410
 
2.0%
당 369
 
1.8%
대 348
 
1.7%
리 298
 
1.4%
치 263
 
1.3%
마 250
 
1.2%
Other values (784) 16729
79.8%
Latin
ValueCountFrequency (%)
C 49
 
5.5%
A 49
 
5.5%
O 46
 
5.2%
a 42
 
4.7%
e 41
 
4.6%
o 37
 
4.1%
B 35
 
3.9%
E 35
 
3.9%
N 34
 
3.8%
i 27
 
3.0%
Other values (40) 498
55.8%
Common
ValueCountFrequency (%)
1092
53.6%
) 311
 
15.3%
( 311
 
15.3%
0 51
 
2.5%
& 43
 
2.1%
1 41
 
2.0%
2 32
 
1.6%
9 23
 
1.1%
3 20
 
1.0%
5 18
 
0.9%
Other values (16) 96
 
4.7%
Han
ValueCountFrequency (%)
家 2
15.4%
串 2
15.4%
味 1
7.7%
詩 1
7.7%
元 1
7.7%
氣 1
7.7%
好 1
7.7%
李 1
7.7%
水 1
7.7%
香 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20960
87.7%
ASCII 2926
 
12.2%
CJK 13
 
0.1%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1092
37.3%
) 311
 
10.6%
( 311
 
10.6%
0 51
 
1.7%
C 49
 
1.7%
A 49
 
1.7%
O 46
 
1.6%
& 43
 
1.5%
a 42
 
1.4%
1 41
 
1.4%
Other values (64) 891
30.5%
Hangul
ValueCountFrequency (%)
점 852
 
4.1%
산 554
 
2.6%
식 476
 
2.3%
이 411
 
2.0%
경 410
 
2.0%
당 369
 
1.8%
대 348
 
1.7%
리 298
 
1.4%
치 263
 
1.3%
마 250
 
1.2%
Other values (784) 16729
79.8%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
家 2
15.4%
串 2
15.4%
味 1
7.7%
詩 1
7.7%
元 1
7.7%
氣 1
7.7%
好 1
7.7%
李 1
7.7%
水 1
7.7%
香 1
7.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지
Text

Distinct3302
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size28.5 KiB
2024-03-23T03:54:57.298328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length25.439824
Min length17

Characters and Unicode

Total characters92372
Distinct characters308
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

Unique3036 ?
Unique (%)83.6%

Sample

1st row경상북도 경산시 용성면 원효로 1426
2nd row경상북도 경산시 진량읍 일연로 718-42
3rd row경상북도 경산시 하양읍 금송로 37
4th row경상북도 경산시 남산면 산양1길 6
5th row경상북도 경산시 하양읍 대학로 1544, B동 12호 (하양공설시장)
ValueCountFrequency (%)
경상북도 3631
 
17.9%
경산시 3631
 
17.9%
1층 581
 
2.9%
하양읍 509
 
2.5%
진량읍 470
 
2.3%
옥산동 379
 
1.9%
사동 290
 
1.4%
중방동 272
 
1.3%
압량읍 205
 
1.0%
2층 180
 
0.9%
Other values (1883) 10191
50.1%
2024-03-23T03:54:59.644038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16713
18.1%
경 7936
 
8.6%
산 4591
 
5.0%
1 4269
 
4.6%
상 3827
 
4.1%
북 3739
 
4.0%
시 3684
 
4.0%
도 3669
 
4.0%
로 3164
 
3.4%
동 2577
 
2.8%
Other values (298) 38203
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53334
57.7%
Space Separator 16713
 
18.1%
Decimal Number 14976
 
16.2%
Close Punctuation 2263
 
2.4%
Open Punctuation 2263
 
2.4%
Other Punctuation 1623
 
1.8%
Dash Punctuation 992
 
1.1%
Uppercase Letter 183
 
0.2%
Lowercase Letter 20
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 7936
14.9%
산 4591
 
8.6%
상 3827
 
7.2%
북 3739
 
7.0%
시 3684
 
6.9%
도 3669
 
6.9%
로 3164
 
5.9%
동 2577
 
4.8%
길 2010
 
3.8%
읍 1184
 
2.2%
Other values (253) 16953
31.8%
Uppercase Letter
ValueCountFrequency (%)
A 69
37.7%
B 59
32.2%
C 10
 
5.5%
S 8
 
4.4%
M 6
 
3.3%
E 4
 
2.2%
H 4
 
2.2%
T 4
 
2.2%
R 3
 
1.6%
N 3
 
1.6%
Other values (10) 13
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 4269
28.5%
2 2426
16.2%
3 1481
 
9.9%
4 1252
 
8.4%
0 1105
 
7.4%
5 1059
 
7.1%
6 929
 
6.2%
7 873
 
5.8%
9 815
 
5.4%
8 767
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
o 6
30.0%
e 5
25.0%
s 2
 
10.0%
w 2
 
10.0%
r 2
 
10.0%
l 2
 
10.0%
b 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1613
99.4%
. 8
 
0.5%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
16713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 992
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53334
57.7%
Common 38835
42.0%
Latin 203
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 7936
14.9%
산 4591
 
8.6%
상 3827
 
7.2%
북 3739
 
7.0%
시 3684
 
6.9%
도 3669
 
6.9%
로 3164
 
5.9%
동 2577
 
4.8%
길 2010
 
3.8%
읍 1184
 
2.2%
Other values (253) 16953
31.8%
Latin
ValueCountFrequency (%)
A 69
34.0%
B 59
29.1%
C 10
 
4.9%
S 8
 
3.9%
o 6
 
3.0%
M 6
 
3.0%
e 5
 
2.5%
E 4
 
2.0%
H 4
 
2.0%
T 4
 
2.0%
Other values (17) 28
13.8%
Common
ValueCountFrequency (%)
16713
43.0%
1 4269
 
11.0%
2 2426
 
6.2%
) 2263
 
5.8%
( 2263
 
5.8%
, 1613
 
4.2%
3 1481
 
3.8%
4 1252
 
3.2%
0 1105
 
2.8%
5 1059
 
2.7%
Other values (8) 4391
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53334
57.7%
ASCII 39036
42.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16713
42.8%
1 4269
 
10.9%
2 2426
 
6.2%
) 2263
 
5.8%
( 2263
 
5.8%
, 1613
 
4.1%
3 1481
 
3.8%
4 1252
 
3.2%
0 1105
 
2.8%
5 1059
 
2.7%
Other values (34) 4592
 
11.8%
Hangul
ValueCountFrequency (%)
경 7936
14.9%
산 4591
 
8.6%
상 3827
 
7.2%
북 3739
 
7.0%
시 3684
 
6.9%
도 3669
 
6.9%
로 3164
 
5.9%
동 2577
 
4.8%
길 2010
 
3.8%
읍 1184
 
2.2%
Other values (253) 16953
31.8%
None
ValueCountFrequency (%)
· 2
100.0%

Interactions

2024-03-23T03:54:46.823934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T03:54:59.988180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업태명
번호1.0000.329
업태명0.3291.000
2024-03-23T03:55:00.220111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업태명
번호1.0000.128
업태명0.1281.000

Missing values

2024-03-23T03:54:47.443515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T03:54:48.246352image/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

번호업종명업태명업소명소재지
01일반음식점한식대구식육식당경상북도 경산시 용성면 원효로 1426
12일반음식점한식경산개발(주)그릴경상북도 경산시 진량읍 일연로 718-42
23일반음식점한식중남식당경상북도 경산시 하양읍 금송로 37
34일반음식점식육(숯불구이)원조 남산식육식당경상북도 경산시 남산면 산양1길 6
45일반음식점한식대운통닭경상북도 경산시 하양읍 대학로 1544, B동 12호 (하양공설시장)
56일반음식점뷔페식제순식당,놀부부대찌개경상북도 경산시 진량읍 대학로 1089
67일반음식점한식회나무흑염소식당경상북도 경산시 자인면 설총로 934
78일반음식점뷔페식평사(부산방향)휴게소 한.양식전문점경상북도 경산시 진량읍 경부고속도로 105
89일반음식점한식남일식당경상북도 경산시 하양읍 하양로27길 12
910일반음식점중국식청우방경상북도 경산시 서상길 110-1 (중방동)
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36213622일반음식점중국식마라푸경상북도 경산시 진량읍 대구대로 246, 1층
36223623일반음식점한식평화김해뒷고기 경산옥산점경상북도 경산시 옥산로 125, 1층 (옥산동)
36233624일반음식점중국식착한가계경상북도 경산시 경안로 144, 1층 (삼북동)
36243625일반음식점분식경산24h 라면카페경상북도 경산시 하양읍 문화로 3, 105동 111호 (하양3차우방타운)
36253626일반음식점한식부엉이집경상북도 경산시 대학로59길 8, 2층 (조영동)
36263627일반음식점일식타코로와 경산하양점경상북도 경산시 하양읍 대학로 1527, 1층
36273628일반음식점한식배선생족발 경산점경상북도 경산시 진량읍 다문로 85, 1층
36283629일반음식점외국음식전문점(인도,태국등)하노이퍼경상북도 경산시 하양읍 대경로105길 12, 1동 102호
36293630일반음식점한식우화정경상북도 경산시 하양읍 서사도리7로 19, 골든스테이트 103,104,105호
36303631일반음식점한식옥산칼국수경상북도 경산시 성암로 49, 1층 (옥산동)