Overview

Dataset statistics

Number of variables5
Number of observations1208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.5 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description인천광역시 소재 군,구별 26개 음식특화거리 현황 및 특화거리내 음식점(1,209개소) 현황을 제공하는 데이터입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105852&srcSe=7661IVAWM27C61E190

Alerts

거리 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
군구 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 군구 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:12:47.317442
Analysis finished2024-03-18 05:12:49.187277
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean604.5
Minimum1
Maximum1208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-03-18T14:12:49.254817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile61.35
Q1302.75
median604.5
Q3906.25
95-th percentile1147.65
Maximum1208
Range1207
Interquartile range (IQR)603.5

Descriptive statistics

Standard deviation348.86387
Coefficient of variation (CV)0.57711145
Kurtosis-1.2
Mean604.5
Median Absolute Deviation (MAD)302
Skewness0
Sum730236
Variance121706
MonotonicityStrictly increasing
2024-03-18T14:12:49.399990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
813 1
 
0.1%
811 1
 
0.1%
810 1
 
0.1%
809 1
 
0.1%
808 1
 
0.1%
807 1
 
0.1%
806 1
 
0.1%
805 1
 
0.1%
804 1
 
0.1%
Other values (1198) 1198
99.2%
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 (%)
1208 1
0.1%
1207 1
0.1%
1206 1
0.1%
1205 1
0.1%
1204 1
0.1%
1203 1
0.1%
1202 1
0.1%
1201 1
0.1%
1200 1
0.1%
1199 1
0.1%

군구
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
연수구(4개 거리)(개소)
393 
남동구(4개 거리)
222 
서구
165 
미추홀구 (3개 거리)(74개소)
140 
계양구 (2개 거리)(94개소)
94 
Other values (4)
194 

Length

Max length19
Median length17
Mean length10.556291
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연수구(4개 거리)(개소) 393
32.5%
남동구(4개 거리) 222
18.4%
서구 165
13.7%
미추홀구 (3개 거리)(74개소) 140
 
11.6%
계양구 (2개 거리)(94개소) 94
 
7.8%
중구 68
 
5.6%
강화 57
 
4.7%
부평구 54
 
4.5%
동구 15
 
1.2%

Length

2024-03-18T14:12:49.519701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:12:49.628685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구(4개 393
17.2%
거리)(개소 393
17.2%
남동구(4개 222
9.7%
거리 222
9.7%
서구 165
7.2%
미추홀구 140
 
6.1%
3개 140
 
6.1%
거리)(74개소 140
 
6.1%
계양구 94
 
4.1%
2개 94
 
4.1%
Other values (5) 288
12.6%

거리
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
연수맛고을길(업소수: 162개)
162 
선학동음식문화시범거리(업소수: 151개소)
151 
구월로데오음식문화거리(업소수: 113개)
113 
루원음식문화거리(업소수: 84개)
84 
구월문예길음식문화1번가(업소수: 78개)
78 
Other values (21)
620 

Length

Max length27
Median length22
Mean length19.838576
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row더리미장어마을(업소수: 5개)
2nd row더리미장어마을(업소수: 5개)
3rd row더리미장어마을(업소수: 5개)
4th row더리미장어마을(업소수: 5개)
5th row더리미장어마을(업소수: 5개)

Common Values

ValueCountFrequency (%)
연수맛고을길(업소수: 162개) 162
13.4%
선학동음식문화시범거리(업소수: 151개소) 151
12.5%
구월로데오음식문화거리(업소수: 113개) 113
9.4%
루원음식문화거리(업소수: 84개) 84
 
7.0%
구월문예길음식문화1번가(업소수: 78개) 78
 
6.5%
계양맛길외국인특화거리(업소수: 75개소) 75
 
6.2%
오송도송 음식문화 특화거리 (업소수: 74개소) 74
 
6.1%
석바위음식거리(업소수:72개) 72
 
6.0%
학익법조타운 먹거리촌(업소수: 64개) 64
 
5.3%
굴포먹거리타운(업소수: 54개) 54
 
4.5%
Other values (16) 281
23.3%

Length

2024-03-18T14:12:49.745044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연수맛고을길(업소수 162
 
5.9%
162개 162
 
5.9%
선학동음식문화시범거리(업소수 151
 
5.5%
151개소 151
 
5.5%
구월로데오음식문화거리(업소수 113
 
4.1%
113개 113
 
4.1%
루원음식문화거리(업소수 84
 
3.1%
84개 84
 
3.1%
구월문예길음식문화1번가(업소수 78
 
2.8%
78개 78
 
2.8%
Other values (47) 1568
57.1%

업소명
Text

Distinct1186
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-18T14:12:49.977918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length6.3857616
Min length1

Characters and Unicode

Total characters7714
Distinct characters671
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1166 ?
Unique (%)96.5%

Sample

1st row㈜선창집장어구이
2nd row별미정숯불장어
3rd row강화도맛집양선민참숯불장어
4th row일미산장㈜
5th row더리미집
ValueCountFrequency (%)
연수점 17
 
1.1%
선학점 14
 
0.9%
구월점 10
 
0.7%
인천연수점 8
 
0.5%
선학역점 8
 
0.5%
루원시티점 6
 
0.4%
인천구월점 5
 
0.3%
송도점 5
 
0.3%
주안점 4
 
0.3%
학익점 4
 
0.3%
Other values (1331) 1405
94.5%
2024-03-18T14:12:50.336922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
3.6%
점 251
 
3.3%
이 131
 
1.7%
구 120
 
1.6%
) 102
 
1.3%
( 101
 
1.3%
수 94
 
1.2%
리 91
 
1.2%
집 89
 
1.2%
천 77
 
1.0%
Other values (661) 6379
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6830
88.5%
Space Separator 279
 
3.6%
Uppercase Letter 149
 
1.9%
Lowercase Letter 125
 
1.6%
Close Punctuation 102
 
1.3%
Open Punctuation 101
 
1.3%
Decimal Number 91
 
1.2%
Other Punctuation 31
 
0.4%
Other Symbol 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 251
 
3.7%
이 131
 
1.9%
구 120
 
1.8%
수 94
 
1.4%
리 91
 
1.3%
집 89
 
1.3%
천 77
 
1.1%
치 76
 
1.1%
식 76
 
1.1%
당 76
 
1.1%
Other values (592) 5749
84.2%
Uppercase Letter
ValueCountFrequency (%)
E 18
 
12.1%
O 13
 
8.7%
A 12
 
8.1%
L 9
 
6.0%
B 8
 
5.4%
C 8
 
5.4%
N 8
 
5.4%
I 7
 
4.7%
F 6
 
4.0%
D 6
 
4.0%
Other values (15) 54
36.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
16.8%
o 14
11.2%
n 12
 
9.6%
t 9
 
7.2%
s 8
 
6.4%
y 6
 
4.8%
f 6
 
4.8%
i 6
 
4.8%
g 5
 
4.0%
b 5
 
4.0%
Other values (12) 33
26.4%
Decimal Number
ValueCountFrequency (%)
1 23
25.3%
0 16
17.6%
8 12
13.2%
9 10
11.0%
2 8
 
8.8%
4 8
 
8.8%
5 6
 
6.6%
3 5
 
5.5%
7 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 16
51.6%
. 5
 
16.1%
, 4
 
12.9%
' 3
 
9.7%
: 2
 
6.5%
? 1
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6825
88.5%
Common 605
 
7.8%
Latin 276
 
3.6%
Han 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 251
 
3.7%
이 131
 
1.9%
구 120
 
1.8%
수 94
 
1.4%
리 91
 
1.3%
집 89
 
1.3%
천 77
 
1.1%
치 76
 
1.1%
식 76
 
1.1%
당 76
 
1.1%
Other values (585) 5744
84.2%
Latin
ValueCountFrequency (%)
e 21
 
7.6%
E 18
 
6.5%
o 14
 
5.1%
O 13
 
4.7%
n 12
 
4.3%
A 12
 
4.3%
L 9
 
3.3%
t 9
 
3.3%
B 8
 
2.9%
C 8
 
2.9%
Other values (39) 152
55.1%
Common
ValueCountFrequency (%)
279
46.1%
) 102
 
16.9%
( 101
 
16.7%
1 23
 
3.8%
0 16
 
2.6%
& 16
 
2.6%
8 12
 
2.0%
9 10
 
1.7%
2 8
 
1.3%
4 8
 
1.3%
Other values (9) 30
 
5.0%
Han
ValueCountFrequency (%)
與 1
12.5%
常 1
12.5%
國 1
12.5%
江 1
12.5%
印 1
12.5%
豚 1
12.5%
愛 1
12.5%
時 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6822
88.4%
ASCII 879
 
11.4%
CJK 8
 
0.1%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
31.7%
) 102
 
11.6%
( 101
 
11.5%
1 23
 
2.6%
e 21
 
2.4%
E 18
 
2.0%
0 16
 
1.8%
& 16
 
1.8%
o 14
 
1.6%
O 13
 
1.5%
Other values (56) 276
31.4%
Hangul
ValueCountFrequency (%)
점 251
 
3.7%
이 131
 
1.9%
구 120
 
1.8%
수 94
 
1.4%
리 91
 
1.3%
집 89
 
1.3%
천 77
 
1.1%
치 76
 
1.1%
식 76
 
1.1%
당 76
 
1.1%
Other values (584) 5741
84.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
與 1
12.5%
常 1
12.5%
國 1
12.5%
江 1
12.5%
印 1
12.5%
豚 1
12.5%
愛 1
12.5%
時 1
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

소재지
Text

Distinct1125
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-18T14:12:50.583929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length27.756623
Min length13

Characters and Unicode

Total characters33530
Distinct characters236
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

Unique1075 ?
Unique (%)89.0%

Sample

1st row강화군 선원면 해안동로 1199
2nd row강화군 선원면 더리미길 10
3rd row강화군 선원면 더리미길13번길 4
4th row강화군 선원면 더리미길 2
5th row강화군 선원면 해안동로 1219
ValueCountFrequency (%)
연수구 393
 
6.6%
1층 236
 
4.0%
남동구 222
 
3.8%
구월동 172
 
2.9%
서구 165
 
2.8%
미추홀구 140
 
2.4%
지상1층 128
 
2.2%
연수동 109
 
1.8%
선학동 97
 
1.6%
계양구 94
 
1.6%
Other values (954) 4160
70.3%
2024-03-18T14:12:50.966762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5914
 
17.6%
1 2202
 
6.6%
동 1557
 
4.6%
구 1360
 
4.1%
( 1242
 
3.7%
) 1241
 
3.7%
로 1184
 
3.5%
, 1037
 
3.1%
길 938
 
2.8%
번 812
 
2.4%
Other values (226) 16043
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16737
49.9%
Decimal Number 7024
20.9%
Space Separator 5914
 
17.6%
Open Punctuation 1242
 
3.7%
Close Punctuation 1241
 
3.7%
Other Punctuation 1042
 
3.1%
Dash Punctuation 279
 
0.8%
Uppercase Letter 42
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1557
 
9.3%
구 1360
 
8.1%
로 1184
 
7.1%
길 938
 
5.6%
번 812
 
4.9%
층 680
 
4.1%
연 616
 
3.7%
수 565
 
3.4%
호 425
 
2.5%
학 348
 
2.1%
Other values (199) 8252
49.3%
Decimal Number
ValueCountFrequency (%)
1 2202
31.3%
2 788
 
11.2%
4 765
 
10.9%
0 607
 
8.6%
3 588
 
8.4%
5 511
 
7.3%
6 428
 
6.1%
8 426
 
6.1%
7 375
 
5.3%
9 334
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
K 10
23.8%
M 10
23.8%
B 10
23.8%
H 4
 
9.5%
L 2
 
4.8%
S 2
 
4.8%
D 2
 
4.8%
T 1
 
2.4%
A 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 1037
99.5%
. 4
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5914
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16751
50.0%
Hangul 16737
49.9%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1557
 
9.3%
구 1360
 
8.1%
로 1184
 
7.1%
길 938
 
5.6%
번 812
 
4.9%
층 680
 
4.1%
연 616
 
3.7%
수 565
 
3.4%
호 425
 
2.5%
학 348
 
2.1%
Other values (199) 8252
49.3%
Common
ValueCountFrequency (%)
5914
35.3%
1 2202
 
13.1%
( 1242
 
7.4%
) 1241
 
7.4%
, 1037
 
6.2%
2 788
 
4.7%
4 765
 
4.6%
0 607
 
3.6%
3 588
 
3.5%
5 511
 
3.1%
Other values (8) 1856
 
11.1%
Latin
ValueCountFrequency (%)
K 10
23.8%
M 10
23.8%
B 10
23.8%
H 4
 
9.5%
L 2
 
4.8%
S 2
 
4.8%
D 2
 
4.8%
T 1
 
2.4%
A 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16793
50.1%
Hangul 16737
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5914
35.2%
1 2202
 
13.1%
( 1242
 
7.4%
) 1241
 
7.4%
, 1037
 
6.2%
2 788
 
4.7%
4 765
 
4.6%
0 607
 
3.6%
3 588
 
3.5%
5 511
 
3.0%
Other values (17) 1898
 
11.3%
Hangul
ValueCountFrequency (%)
동 1557
 
9.3%
구 1360
 
8.1%
로 1184
 
7.1%
길 938
 
5.6%
번 812
 
4.9%
층 680
 
4.1%
연 616
 
3.7%
수 565
 
3.4%
호 425
 
2.5%
학 348
 
2.1%
Other values (199) 8252
49.3%

Interactions

2024-03-18T14:12:48.926636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:12:51.048903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구거리
연번1.0000.9100.970
군구0.9101.0001.000
거리0.9701.0001.000
2024-03-18T14:12:51.122039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거리군구
거리1.0000.993
군구0.9931.000
2024-03-18T14:12:51.196707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구거리
연번1.0000.7230.826
군구0.7231.0000.993
거리0.8260.9931.000

Missing values

2024-03-18T14:12:49.074307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:12:49.150299image/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

연번군구거리업소명소재지
01강화더리미장어마을(업소수: 5개)㈜선창집장어구이강화군 선원면 해안동로 1199
12강화더리미장어마을(업소수: 5개)별미정숯불장어강화군 선원면 더리미길 10
23강화더리미장어마을(업소수: 5개)강화도맛집양선민참숯불장어강화군 선원면 더리미길13번길 4
34강화더리미장어마을(업소수: 5개)일미산장㈜강화군 선원면 더리미길 2
45강화더리미장어마을(업소수: 5개)더리미집강화군 선원면 해안동로 1219
56강화선수밴댕이마을(업소수: 18개)강화서산갯마을강화군 화도면 해안남로2845번길 10
67강화선수밴댕이마을(업소수: 18개)충무회수산강화군 화도면 해안남로2845번길 21-1
78강화선수밴댕이마을(업소수: 18개)미락횟집강화군 화도면 해안남로2903번길 58
89강화선수밴댕이마을(업소수: 18개)강화벤댕이꽃게전문점강화군 화도면 해안남로2903번길 58
910강화선수밴댕이마을(업소수: 18개)미락강화군 화도면 해안남로2903번길 55
연번군구거리업소명소재지
11981199서구루원음식문화거리(업소수: 84개)스윗데이즈서구 봉오재3로 116, SD프라자 106호(가정동)
11991200서구루원음식문화거리(업소수: 84개)발도스커피 루원시티점서구 봉오재3로 120, 101호(가정동)
12001201서구루원음식문화거리(업소수: 84개)피자런 가정루원시티점서구 봉오재3로 90, 한일골드타워 109호(가정동)
12011202서구루원음식문화거리(업소수: 84개)치도리치킨(가정점)서구 봉오재3로 90, 한일골드타워 110호(가정동)
12021203서구루원음식문화거리(업소수: 84개)푸른밤포차서구 봉오재3로94번길 19, 에이스타워 126호(가정동)
12031204서구루원음식문화거리(업소수: 84개)루원일품참치서구 봉오재3로110번길 7, 가정봄프라자 201호(가정동)
12041205서구루원음식문화거리(업소수: 84개)육통형서구 봉오재3로 115, HB타워 107, 108호(가정동)
12051206서구루원음식문화거리(업소수: 84개)당신은지금치킨이땡긴다 루원시티점서구 봉오재3로 100, 금강하이프라자 106호(가정동)
12061207서구루원음식문화거리(업소수: 84개)놀부네샤브샤브서구 봉오재3로 100, 금강하이프라자 206호(가정동)
12071208서구루원음식문화거리(업소수: 84개)장미맨숀루원시티점서구 봉오재3로94번길 11, MK타워 203, 204호(가정동)