Overview

Dataset statistics

Number of variables10
Number of observations183
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory82.7 B

Variable types

Numeric2
Categorical4
Text4

Dataset

Description대구광역시 달서구_음식점 현황_20221019
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3071544&dataSetDetailId=30715441b423bf15862f&provdMethod=FILE

Alerts

기준일자 has constant value ""Constant
구분 is highly overall correlated with 주관부서High correlation
주관부서 is highly overall correlated with 구분High correlation
업소명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-20 14:17:02.704460
Analysis finished2024-04-20 14:17:06.729431
Duration4.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct182
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.835432
Minimum35.793513
Maximum35.861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T23:17:06.939282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.793513
5-th percentile35.808236
Q135.817699
median35.838096
Q335.853523
95-th percentile35.859058
Maximum35.861
Range0.06748711
Interquartile range (IQR)0.03582365

Descriptive statistics

Standard deviation0.018289348
Coefficient of variation (CV)0.00051037051
Kurtosis-1.1843202
Mean35.835432
Median Absolute Deviation (MAD)0.01617765
Skewness-0.31249637
Sum6557.884
Variance0.00033450023
MonotonicityNot monotonic
2024-04-20T23:17:07.406954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81651286 2
 
1.1%
35.8594568 1
 
0.5%
35.84156844 1
 
0.5%
35.82592965 1
 
0.5%
35.84953787 1
 
0.5%
35.85177222 1
 
0.5%
35.8370843 1
 
0.5%
35.81411597 1
 
0.5%
35.82625298 1
 
0.5%
35.85427403 1
 
0.5%
Other values (172) 172
94.0%
ValueCountFrequency (%)
35.79351262 1
0.5%
35.79575137 1
0.5%
35.79812419 1
0.5%
35.79899894 1
0.5%
35.79903046 1
0.5%
35.80568503 1
0.5%
35.80641774 1
0.5%
35.80694196 1
0.5%
35.80709928 1
0.5%
35.80822105 1
0.5%
ValueCountFrequency (%)
35.86099973 1
0.5%
35.86023984 1
0.5%
35.86005721 1
0.5%
35.8594568 1
0.5%
35.85944483 1
0.5%
35.85940671 1
0.5%
35.85934985 1
0.5%
35.85932672 1
0.5%
35.85914182 1
0.5%
35.85906134 1
0.5%

경도
Real number (ℝ)

Distinct182
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52819
Minimum128.4815
Maximum128.57413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T23:17:07.854689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4815
5-th percentile128.48975
Q1128.51368
median128.53037
Q3128.54603
95-th percentile128.5583
Maximum128.57413
Range0.0926329
Interquartile range (IQR)0.0323541

Descriptive statistics

Standard deviation0.021201383
Coefficient of variation (CV)0.00016495512
Kurtosis-0.69674588
Mean128.52819
Median Absolute Deviation (MAD)0.0160477
Skewness-0.37629029
Sum23520.66
Variance0.00044949866
MonotonicityNot monotonic
2024-04-20T23:17:08.297813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5425779 2
 
1.1%
128.5649934 1
 
0.5%
128.4906326 1
 
0.5%
128.5470139 1
 
0.5%
128.5365152 1
 
0.5%
128.5224477 1
 
0.5%
128.5399068 1
 
0.5%
128.5464015 1
 
0.5%
128.5291972 1
 
0.5%
128.5108059 1
 
0.5%
Other values (172) 172
94.0%
ValueCountFrequency (%)
128.4814952 1
0.5%
128.4831562 1
0.5%
128.4877523 1
0.5%
128.4882945 1
0.5%
128.4883247 1
0.5%
128.4887148 1
0.5%
128.4890482 1
0.5%
128.4891227 1
0.5%
128.4895119 1
0.5%
128.4897082 1
0.5%
ValueCountFrequency (%)
128.5741281 1
0.5%
128.5657197 1
0.5%
128.5649934 1
0.5%
128.5649639 1
0.5%
128.5629761 1
0.5%
128.5621513 1
0.5%
128.5615979 1
0.5%
128.5598241 1
0.5%
128.5590568 1
0.5%
128.5584468 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
모범
102 
착한가격
81 

Length

Max length4
Median length2
Mean length2.8852459
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
모범 102
55.7%
착한가격 81
44.3%

Length

2024-04-20T23:17:08.583743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:17:08.777766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모범 102
55.7%
착한가격 81
44.3%

업종
Categorical

Distinct11
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
한식
127 
식육(숯불구이)
18 
일식
 
11
중식
 
10
중국식
 
5
Other values (6)
 
12

Length

Max length8
Median length2
Mean length2.6994536
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row한식
2nd row한식
3rd row일식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 127
69.4%
식육(숯불구이) 18
 
9.8%
일식 11
 
6.0%
중식 10
 
5.5%
중국식 5
 
2.7%
기타 3
 
1.6%
기타요식업 2
 
1.1%
경양식 2
 
1.1%
횟집 2
 
1.1%
뷔페식 2
 
1.1%

Length

2024-04-20T23:17:09.101041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 127
69.4%
식육(숯불구이 18
 
9.8%
일식 11
 
6.0%
중식 10
 
5.5%
중국식 5
 
2.7%
기타 3
 
1.6%
기타요식업 2
 
1.1%
경양식 2
 
1.1%
횟집 2
 
1.1%
뷔페식 2
 
1.1%

업소명
Text

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-20T23:17:10.219010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.863388
Min length2

Characters and Unicode

Total characters1073
Distinct characters303
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)100.0%

Sample

1st row365먹골촌
2nd row시골밥상
3rd row돌섬회타운
4th row가야산식당(숯불갈비)
5th row아름식당
ValueCountFrequency (%)
본가안동국시 2
 
1.0%
성서점 2
 
1.0%
시골밥상 2
 
1.0%
죽전점 2
 
1.0%
취팔선 2
 
1.0%
월성점 2
 
1.0%
상인참치 1
 
0.5%
두류점 1
 
0.5%
온채당 1
 
0.5%
본동복어 1
 
0.5%
Other values (188) 188
92.2%
2024-04-20T23:17:11.689421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 26
 
2.4%
점 25
 
2.3%
식 22
 
2.1%
21
 
2.0%
수 19
 
1.8%
성 19
 
1.8%
당 18
 
1.7%
가 18
 
1.7%
시 15
 
1.4%
한 15
 
1.4%
Other values (293) 875
81.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1021
95.2%
Space Separator 21
 
2.0%
Decimal Number 8
 
0.7%
Close Punctuation 6
 
0.6%
Open Punctuation 6
 
0.6%
Uppercase Letter 5
 
0.5%
Other Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 26
 
2.5%
점 25
 
2.4%
식 22
 
2.2%
수 19
 
1.9%
성 19
 
1.9%
당 18
 
1.8%
가 18
 
1.8%
시 15
 
1.5%
한 15
 
1.5%
탕 13
 
1.3%
Other values (275) 831
81.4%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
2 2
25.0%
3 1
12.5%
6 1
12.5%
0 1
12.5%
1 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
M 1
20.0%
O 1
20.0%
P 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
g 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1021
95.2%
Common 44
 
4.1%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 26
 
2.5%
점 25
 
2.4%
식 22
 
2.2%
수 19
 
1.9%
성 19
 
1.9%
당 18
 
1.8%
가 18
 
1.8%
시 15
 
1.5%
한 15
 
1.5%
탕 13
 
1.3%
Other values (275) 831
81.4%
Common
ValueCountFrequency (%)
21
47.7%
) 6
 
13.6%
( 6
 
13.6%
& 2
 
4.5%
5 2
 
4.5%
2 2
 
4.5%
. 1
 
2.3%
3 1
 
2.3%
6 1
 
2.3%
0 1
 
2.3%
Latin
ValueCountFrequency (%)
S 2
25.0%
M 1
12.5%
t 1
12.5%
O 1
12.5%
P 1
12.5%
e 1
12.5%
g 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1021
95.2%
ASCII 52
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 26
 
2.5%
점 25
 
2.4%
식 22
 
2.2%
수 19
 
1.9%
성 19
 
1.9%
당 18
 
1.8%
가 18
 
1.8%
시 15
 
1.5%
한 15
 
1.5%
탕 13
 
1.3%
Other values (275) 831
81.4%
ASCII
ValueCountFrequency (%)
21
40.4%
) 6
 
11.5%
( 6
 
11.5%
& 2
 
3.8%
S 2
 
3.8%
5 2
 
3.8%
2 2
 
3.8%
. 1
 
1.9%
3 1
 
1.9%
M 1
 
1.9%
Other values (8) 8
 
15.4%

소재지
Text

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-20T23:17:12.723923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length29.338798
Min length16

Characters and Unicode

Total characters5369
Distinct characters141
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

Unique183 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 파도고개로30길 2 (두류동 88-8)
2nd row대구광역시 달서구 야외음악당로47길 112 (두류동 137-7)
3rd row대구광역시 달서구 달구벌대로 1732-4 (두류동 488-9)
4th row대구광역시 달서구 두류공원로50길 17 (두류동 141-1)
5th row대구광역시 달서구 파도고개로 198
ValueCountFrequency (%)
대구광역시 183
 
18.1%
달서구 183
 
18.1%
1층 18
 
1.8%
상인동 17
 
1.7%
송현동 10
 
1.0%
진천동 10
 
1.0%
월성동 10
 
1.0%
이곡동 9
 
0.9%
와룡로 9
 
0.9%
호림동 9
 
0.9%
Other values (366) 552
54.7%
2024-04-20T23:17:14.072966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
829
 
15.4%
구 389
 
7.2%
1 277
 
5.2%
대 226
 
4.2%
서 213
 
4.0%
달 208
 
3.9%
동 203
 
3.8%
) 201
 
3.7%
( 201
 
3.7%
시 185
 
3.4%
Other values (131) 2437
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2995
55.8%
Decimal Number 973
 
18.1%
Space Separator 829
 
15.4%
Close Punctuation 201
 
3.7%
Open Punctuation 201
 
3.7%
Other Punctuation 86
 
1.6%
Dash Punctuation 68
 
1.3%
Math Symbol 10
 
0.2%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 389
13.0%
대 226
 
7.5%
서 213
 
7.1%
달 208
 
6.9%
동 203
 
6.8%
시 185
 
6.2%
광 183
 
6.1%
역 183
 
6.1%
로 180
 
6.0%
길 77
 
2.6%
Other values (113) 948
31.7%
Decimal Number
ValueCountFrequency (%)
1 277
28.5%
2 138
14.2%
3 92
 
9.5%
4 86
 
8.8%
5 79
 
8.1%
0 72
 
7.4%
9 59
 
6.1%
7 58
 
6.0%
6 57
 
5.9%
8 55
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 3
50.0%
Space Separator
ValueCountFrequency (%)
829
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2995
55.8%
Common 2368
44.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 389
13.0%
대 226
 
7.5%
서 213
 
7.1%
달 208
 
6.9%
동 203
 
6.8%
시 185
 
6.2%
광 183
 
6.1%
역 183
 
6.1%
로 180
 
6.0%
길 77
 
2.6%
Other values (113) 948
31.7%
Common
ValueCountFrequency (%)
829
35.0%
1 277
 
11.7%
) 201
 
8.5%
( 201
 
8.5%
2 138
 
5.8%
3 92
 
3.9%
4 86
 
3.6%
, 86
 
3.6%
5 79
 
3.3%
0 72
 
3.0%
Other values (6) 307
 
13.0%
Latin
ValueCountFrequency (%)
B 3
50.0%
A 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2995
55.8%
ASCII 2374
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
829
34.9%
1 277
 
11.7%
) 201
 
8.5%
( 201
 
8.5%
2 138
 
5.8%
3 92
 
3.9%
4 86
 
3.6%
, 86
 
3.6%
5 79
 
3.3%
0 72
 
3.0%
Other values (8) 313
 
13.2%
Hangul
ValueCountFrequency (%)
구 389
13.0%
대 226
 
7.5%
서 213
 
7.1%
달 208
 
6.9%
동 203
 
6.8%
시 185
 
6.2%
광 183
 
6.1%
역 183
 
6.1%
로 180
 
6.0%
길 77
 
2.6%
Other values (113) 948
31.7%

연락처
Text

Distinct182
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-20T23:17:15.054130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010989
Min length12

Characters and Unicode

Total characters2186
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)100.0%

Sample

1st row053-622-0222
2nd row053-628-2323
3rd row053-622-4589
4th row053-624-1348
5th row053-622-5556
ValueCountFrequency (%)
053-622-0222 1
 
0.5%
053-636-3033 1
 
0.5%
053-583-1349 1
 
0.5%
053-656-5666 1
 
0.5%
053-571-7788 1
 
0.5%
053-552-7797 1
 
0.5%
053-522-4114 1
 
0.5%
053-635-6335 1
 
0.5%
053-635-8886 1
 
0.5%
053-592-4100 1
 
0.5%
Other values (172) 172
94.5%
2024-04-20T23:17:16.493121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 380
17.4%
- 364
16.7%
3 346
15.8%
0 268
12.3%
6 188
8.6%
2 150
 
6.9%
8 144
 
6.6%
1 96
 
4.4%
7 92
 
4.2%
9 91
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1822
83.3%
Dash Punctuation 364
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 380
20.9%
3 346
19.0%
0 268
14.7%
6 188
10.3%
2 150
 
8.2%
8 144
 
7.9%
1 96
 
5.3%
7 92
 
5.0%
9 91
 
5.0%
4 67
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 380
17.4%
- 364
16.7%
3 346
15.8%
0 268
12.3%
6 188
8.6%
2 150
 
6.9%
8 144
 
6.6%
1 96
 
4.4%
7 92
 
4.2%
9 91
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 380
17.4%
- 364
16.7%
3 346
15.8%
0 268
12.3%
6 188
8.6%
2 150
 
6.9%
8 144
 
6.6%
1 96
 
4.4%
7 92
 
4.2%
9 91
 
4.2%

식단
Text

Distinct164
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-20T23:17:17.521378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length10.978142
Min length3

Characters and Unicode

Total characters2009
Distinct characters204
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)84.2%

Sample

1st row돼지갈비 (독일산, 250g) 8000원
2nd row칼국수 4000원
3rd row생선초밥 7000원
4th row김치찌개 4500원
5th row칼국수 5500원
ValueCountFrequency (%)
칼국수 16
 
4.3%
5000원 15
 
4.1%
7000원 13
 
3.5%
자장면 11
 
3.0%
6000원 10
 
2.7%
4000원 9
 
2.4%
삼겹살 9
 
2.4%
6500원 7
 
1.9%
잔치국수 6
 
1.6%
4500원 6
 
1.6%
Other values (211) 268
72.4%
2024-04-20T23:17:18.896111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
 
11.3%
188
 
9.4%
, 149
 
7.4%
원 81
 
4.0%
국 60
 
3.0%
5 40
 
2.0%
비 40
 
2.0%
수 38
 
1.9%
갈 37
 
1.8%
살 33
 
1.6%
Other values (194) 1115
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
65.1%
Decimal Number 339
 
16.9%
Space Separator 188
 
9.4%
Other Punctuation 149
 
7.4%
Close Punctuation 11
 
0.5%
Open Punctuation 11
 
0.5%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 81
 
6.2%
국 60
 
4.6%
비 40
 
3.1%
수 38
 
2.9%
갈 37
 
2.8%
살 33
 
2.5%
탕 32
 
2.4%
밥 29
 
2.2%
장 29
 
2.2%
칼 23
 
1.8%
Other values (179) 905
69.2%
Decimal Number
ValueCountFrequency (%)
0 228
67.3%
5 40
 
11.8%
6 18
 
5.3%
4 16
 
4.7%
7 14
 
4.1%
3 6
 
1.8%
1 5
 
1.5%
8 5
 
1.5%
2 4
 
1.2%
9 3
 
0.9%
Space Separator
ValueCountFrequency (%)
188
100.0%
Other Punctuation
ValueCountFrequency (%)
, 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1306
65.0%
Common 698
34.7%
Latin 4
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 81
 
6.2%
국 60
 
4.6%
비 40
 
3.1%
수 38
 
2.9%
갈 37
 
2.8%
살 33
 
2.5%
탕 32
 
2.5%
밥 29
 
2.2%
장 29
 
2.2%
칼 23
 
1.8%
Other values (178) 904
69.2%
Common
ValueCountFrequency (%)
0 228
32.7%
188
26.9%
, 149
21.3%
5 40
 
5.7%
6 18
 
2.6%
4 16
 
2.3%
7 14
 
2.0%
) 11
 
1.6%
( 11
 
1.6%
3 6
 
0.9%
Other values (4) 17
 
2.4%
Latin
ValueCountFrequency (%)
g 4
100.0%
Han
ValueCountFrequency (%)
中 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1306
65.0%
ASCII 702
34.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
32.5%
188
26.8%
, 149
21.2%
5 40
 
5.7%
6 18
 
2.6%
4 16
 
2.3%
7 14
 
2.0%
) 11
 
1.6%
( 11
 
1.6%
3 6
 
0.9%
Other values (5) 21
 
3.0%
Hangul
ValueCountFrequency (%)
원 81
 
6.2%
국 60
 
4.6%
비 40
 
3.1%
수 38
 
2.9%
갈 37
 
2.8%
살 33
 
2.5%
탕 32
 
2.5%
밥 29
 
2.2%
장 29
 
2.2%
칼 23
 
1.8%
Other values (178) 904
69.2%
CJK
ValueCountFrequency (%)
中 1
100.0%

주관부서
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대구광역시 달서구 위생과
102 
대구광역시 달서구 경제지원과
81 

Length

Max length15
Median length13
Mean length13.885246
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 경제지원과
2nd row대구광역시 달서구 경제지원과
3rd row대구광역시 달서구 경제지원과
4th row대구광역시 달서구 경제지원과
5th row대구광역시 달서구 경제지원과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 위생과 102
55.7%
대구광역시 달서구 경제지원과 81
44.3%

Length

2024-04-20T23:17:19.342859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:17:19.752525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 183
33.3%
달서구 183
33.3%
위생과 102
18.6%
경제지원과 81
14.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-10-19
183 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-19
2nd row2022-10-19
3rd row2022-10-19
4th row2022-10-19
5th row2022-10-19

Common Values

ValueCountFrequency (%)
2022-10-19 183
100.0%

Length

2024-04-20T23:17:19.984680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:17:20.170995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-19 183
100.0%

Interactions

2024-04-20T23:17:05.205918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:17:04.690693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:17:05.457137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:17:04.952522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T23:17:20.281452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분업종주관부서
위도1.0000.7370.3870.0490.387
경도0.7371.0000.4840.0560.484
구분0.3870.4841.0000.4381.000
업종0.0490.0560.4381.0000.438
주관부서0.3870.4841.0000.4381.000
2024-04-20T23:17:20.448161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종주관부서
구분1.0000.4090.989
업종0.4091.0000.409
주관부서0.9890.4091.000
2024-04-20T23:17:20.617416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분업종주관부서
위도1.000-0.1580.2900.0110.290
경도-0.1581.0000.3690.0360.369
구분0.2900.3691.0000.4090.989
업종0.0110.0360.4091.0000.409
주관부서0.2900.3690.9890.4091.000

Missing values

2024-04-20T23:17:06.077269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T23:17:06.549912image/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

위도경도구분업종업소명소재지연락처식단주관부서기준일자
035.859457128.564993착한가격한식365먹골촌대구광역시 달서구 파도고개로30길 2 (두류동 88-8)053-622-0222돼지갈비 (독일산, 250g) 8000원대구광역시 달서구 경제지원과2022-10-19
135.85838128.562151착한가격한식시골밥상대구광역시 달서구 야외음악당로47길 112 (두류동 137-7)053-628-2323칼국수 4000원대구광역시 달서구 경제지원과2022-10-19
235.856467128.554808착한가격일식돌섬회타운대구광역시 달서구 달구벌대로 1732-4 (두류동 488-9)053-622-4589생선초밥 7000원대구광역시 달서구 경제지원과2022-10-19
335.856507128.559824착한가격한식가야산식당(숯불갈비)대구광역시 달서구 두류공원로50길 17 (두류동 141-1)053-624-1348김치찌개 4500원대구광역시 달서구 경제지원과2022-10-19
435.857272128.56572착한가격한식아름식당대구광역시 달서구 파도고개로 198053-622-5556칼국수 5500원대구광역시 달서구 경제지원과2022-10-19
535.840592128.543484착한가격한식현대식당대구광역시 달서구 대명천로 148053-554-6401칼국수 6000원대구광역시 달서구 경제지원과2022-10-19
635.856761128.521318착한가격한식김밥매니아대구광역시 달서구 성지로 84 (용산동 446-2)053-583-1478된장찌개 5000원대구광역시 달서구 경제지원과2022-10-19
735.858044128.499459착한가격한식와룡돈까스대구광역시 달서구 선원로14길 21 (신당동 1761-16)053-585-3303돈까스 6500원대구광역시 달서구 경제지원과2022-10-19
835.830042128.528337착한가격한식박가네돈까스대구광역시 달서구 월성로 77, 나동상가 110호 (월성동 86 주공2 나동상가 110호)053-636-1286돈까스 7000원대구광역시 달서구 경제지원과2022-10-19
935.812955128.521772착한가격한식밥묵고고기묵고대구광역시 달서구 월배로14길 11 (진천동 626-25)070-8196-8188칼국수 5500원대구광역시 달서구 경제지원과2022-10-19
위도경도구분업종업소명소재지연락처식단주관부서기준일자
17335.849963128.483156모범한식하얀집대구광역시 달서구 호산동로35남길 55053-587-8900낙지볶음, 갈비찜대구광역시 달서구 위생과2022-10-19
17435.836673128.551128모범한식한마리통큰오리대구광역시 달서구 구마로 214 (송현동)053-653-5003갈비살, 꽃살, 천하모듬대구광역시 달서구 위생과2022-10-19
17535.838096128.537323모범일식한미회초밥대구광역시 달서구 와룡로 62 (본리동,(지상2층))053-557-3377초밥, 대구탕, 덮밥대구광역시 달서구 위생과2022-10-19
17635.855959128.508735모범한식한옥집대구광역시 달서구 이곡공원로1안길 48 (이곡동)053-581-2236김치찜,삼겹살,김치찌개대구광역시 달서구 위생과2022-10-19
17735.810121128.532819모범일식해수전복대구광역시 달서구 상화로 173-1 (진천동,(지상1층))053-644-8087전복회,전복찜대구광역시 달서구 위생과2022-10-19
17835.823716128.546135모범기타행복한갈비대구광역시 달서구 월배로 318053-625-3392정통갈비, 한우갈비살, 소갈비찜대구광역시 달서구 위생과2022-10-19
17935.839379128.488294모범한식현풍닭칼국수 성서점대구광역시 달서구 달서대로91길 29 (호림동,(B동1층))053-591-9555닭칼국수, 멸치칼국수대구광역시 달서구 위생과2022-10-19
18035.824408128.526418모범식육(숯불구이)황소걸음식육식당대구광역시 달서구 조암로 33, 지상2층 202,204호 (월성동, 한성빌딩)053-633-8199한우구이, 불고기, 돌솥밥대구광역시 달서구 위생과2022-10-19
18135.854383128.508426모범한식황장군성서점대구광역시 달서구 이곡동로 7 (이곡동, 코리아나호텔)053-593-1122갈비탕,갈비찜대구광역시 달서구 위생과2022-10-19
18235.809923128.528591모범한식황태명가대구광역시 달서구 상화로 137 (진천동)053-636-2605황태진국, 황태구이대구광역시 달서구 위생과2022-10-19