Overview

Dataset statistics

Number of variables11
Number of observations332
Missing cells87
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory91.4 B

Variable types

Numeric3
Text4
Categorical4

Dataset

Description대구광역시 달서구 내 공중위생관리 최우수업소 현황에 대한 내용 및 정보가 담겨있음. (좌표, 업종, 업소명, 주소, 전화번호, 행정동)
URLhttps://www.data.go.kr/data/3040298/fileData.do

Alerts

주관부서 has constant value ""Constant
기준일자 has constant value ""Constant
위도 is highly overall correlated with 행정동High correlation
경도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
전화번호 has 87 (26.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:16:59.720284
Analysis finished2023-12-12 03:17:02.133612
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct311
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.834586
Minimum35.804632
Maximum35.862119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T12:17:02.247901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.804632
5-th percentile35.807518
Q135.81774
median35.836273
Q335.853367
95-th percentile35.858511
Maximum35.862119
Range0.05748696
Interquartile range (IQR)0.035626816

Descriptive statistics

Standard deviation0.017870634
Coefficient of variation (CV)0.00049869794
Kurtosis-1.4649372
Mean35.834586
Median Absolute Deviation (MAD)0.017863269
Skewness-0.082699161
Sum11897.082
Variance0.00031935957
MonotonicityNot monotonic
2023-12-12T12:17:02.461379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.825229585 3
 
0.9%
35.820885227 3
 
0.9%
35.850253386 3
 
0.9%
35.81684364 2
 
0.6%
35.808138482 2
 
0.6%
35.855663365 2
 
0.6%
35.819701543 2
 
0.6%
35.843087189 2
 
0.6%
35.856202102 2
 
0.6%
35.818279354 2
 
0.6%
Other values (301) 309
93.1%
ValueCountFrequency (%)
35.804632439 2
0.6%
35.805393887 1
0.3%
35.805438467 1
0.3%
35.805712219 1
0.3%
35.806033784 1
0.3%
35.806485482 1
0.3%
35.806657319 1
0.3%
35.806660265 1
0.3%
35.806879388 1
0.3%
35.806941959 2
0.6%
ValueCountFrequency (%)
35.862119399 1
0.3%
35.861669526 1
0.3%
35.861055289 1
0.3%
35.860498847 1
0.3%
35.86043096 1
0.3%
35.86028574 1
0.3%
35.859964247 1
0.3%
35.859657356 1
0.3%
35.859646293 1
0.3%
35.859327888 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct311
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5272
Minimum128.47368
Maximum128.57409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T12:17:02.700479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.48902
Q1128.51369
median128.53083
Q3128.54425
95-th percentile128.55616
Maximum128.57409
Range0.10040462
Interquartile range (IQR)0.030558076

Descriptive statistics

Standard deviation0.021771533
Coefficient of variation (CV)0.00016939242
Kurtosis-0.37681848
Mean128.5272
Median Absolute Deviation (MAD)0.01492063
Skewness-0.44652864
Sum42671.029
Variance0.00047399963
MonotonicityNot monotonic
2023-12-12T12:17:02.936564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.526213290019 3
 
0.9%
128.546348353881 3
 
0.9%
128.473681256887 3
 
0.9%
128.539182833302 2
 
0.6%
128.516263352324 2
 
0.6%
128.504116458089 2
 
0.6%
128.535007931866 2
 
0.6%
128.541895867301 2
 
0.6%
128.527625255791 2
 
0.6%
128.532552668999 2
 
0.6%
Other values (301) 309
93.1%
ValueCountFrequency (%)
128.473681256887 3
0.9%
128.476747128924 1
 
0.3%
128.476760017426 1
 
0.3%
128.47725783249 1
 
0.3%
128.477266968315 1
 
0.3%
128.482331852466 1
 
0.3%
128.482384085797 1
 
0.3%
128.486645199223 1
 
0.3%
128.486894774842 1
 
0.3%
128.487007349119 1
 
0.3%
ValueCountFrequency (%)
128.574085878526 1
0.3%
128.573818461722 1
0.3%
128.573704351926 1
0.3%
128.571652689257 1
0.3%
128.571595250591 1
0.3%
128.571433888525 1
0.3%
128.567415335781 1
0.3%
128.567193859848 1
0.3%
128.565393735032 1
0.3%
128.561333167142 1
0.3%

번호
Real number (ℝ)

UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.5
Minimum1
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T12:17:03.141025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.55
Q183.75
median166.5
Q3249.25
95-th percentile315.45
Maximum332
Range331
Interquartile range (IQR)165.5

Descriptive statistics

Standard deviation95.984374
Coefficient of variation (CV)0.57648273
Kurtosis-1.2
Mean166.5
Median Absolute Deviation (MAD)83
Skewness0
Sum55278
Variance9213
MonotonicityStrictly increasing
2023-12-12T12:17:03.402678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
230 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
Other values (322) 322
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%

업소명
Text

Distinct331
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T12:17:03.847581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length6.7981928
Min length1

Characters and Unicode

Total characters2257
Distinct characters359
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)99.4%

Sample

1st row청담
2nd row하얀세탁소
3rd row지지모텔
4th row유신헬스사우나
5th row헤어시티
ValueCountFrequency (%)
hair 6
 
1.5%
헤어 5
 
1.3%
hotel 3
 
0.8%
nail 3
 
0.8%
라온헤어 2
 
0.5%
크린파트너 2
 
0.5%
명품세탁 2
 
0.5%
네일 2
 
0.5%
미용실 2
 
0.5%
인포레스킨(infore 1
 
0.3%
Other values (362) 362
92.8%
2023-12-12T12:17:04.481562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 114
 
5.1%
헤 110
 
4.9%
( 68
 
3.0%
) 68
 
3.0%
이 60
 
2.7%
58
 
2.6%
스 48
 
2.1%
미 44
 
1.9%
리 43
 
1.9%
텔 39
 
1.7%
Other values (349) 1605
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1689
74.8%
Lowercase Letter 170
 
7.5%
Uppercase Letter 160
 
7.1%
Open Punctuation 68
 
3.0%
Close Punctuation 68
 
3.0%
Space Separator 58
 
2.6%
Decimal Number 32
 
1.4%
Other Punctuation 10
 
0.4%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 114
 
6.7%
헤 110
 
6.5%
이 60
 
3.6%
스 48
 
2.8%
미 44
 
2.6%
리 43
 
2.5%
텔 39
 
2.3%
세 33
 
2.0%
탁 32
 
1.9%
소 30
 
1.8%
Other values (287) 1136
67.3%
Lowercase Letter
ValueCountFrequency (%)
a 25
14.7%
i 21
12.4%
o 18
10.6%
n 14
8.2%
e 12
 
7.1%
l 11
 
6.5%
h 11
 
6.5%
r 11
 
6.5%
t 8
 
4.7%
s 8
 
4.7%
Other values (13) 31
18.2%
Uppercase Letter
ValueCountFrequency (%)
A 17
 
10.6%
H 14
 
8.8%
E 13
 
8.1%
J 12
 
7.5%
N 10
 
6.2%
O 10
 
6.2%
S 9
 
5.6%
B 9
 
5.6%
I 8
 
5.0%
R 8
 
5.0%
Other values (12) 50
31.2%
Decimal Number
ValueCountFrequency (%)
2 13
40.6%
0 7
21.9%
1 4
 
12.5%
5 3
 
9.4%
3 3
 
9.4%
4 2
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3
30.0%
' 2
20.0%
, 2
20.0%
: 1
 
10.0%
% 1
 
10.0%
& 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1687
74.7%
Latin 330
 
14.6%
Common 238
 
10.5%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 114
 
6.8%
헤 110
 
6.5%
이 60
 
3.6%
스 48
 
2.8%
미 44
 
2.6%
리 43
 
2.5%
텔 39
 
2.3%
세 33
 
2.0%
탁 32
 
1.9%
소 30
 
1.8%
Other values (286) 1134
67.2%
Latin
ValueCountFrequency (%)
a 25
 
7.6%
i 21
 
6.4%
o 18
 
5.5%
A 17
 
5.2%
n 14
 
4.2%
H 14
 
4.2%
E 13
 
3.9%
e 12
 
3.6%
J 12
 
3.6%
l 11
 
3.3%
Other values (35) 173
52.4%
Common
ValueCountFrequency (%)
( 68
28.6%
) 68
28.6%
58
24.4%
2 13
 
5.5%
0 7
 
2.9%
1 4
 
1.7%
. 3
 
1.3%
5 3
 
1.3%
3 3
 
1.3%
' 2
 
0.8%
Other values (7) 9
 
3.8%
Han
ValueCountFrequency (%)
美 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1687
74.7%
ASCII 568
 
25.2%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 114
 
6.8%
헤 110
 
6.5%
이 60
 
3.6%
스 48
 
2.8%
미 44
 
2.6%
리 43
 
2.5%
텔 39
 
2.3%
세 33
 
2.0%
탁 32
 
1.9%
소 30
 
1.8%
Other values (286) 1134
67.2%
ASCII
ValueCountFrequency (%)
( 68
 
12.0%
) 68
 
12.0%
58
 
10.2%
a 25
 
4.4%
i 21
 
3.7%
o 18
 
3.2%
A 17
 
3.0%
n 14
 
2.5%
H 14
 
2.5%
E 13
 
2.3%
Other values (52) 252
44.4%
CJK
ValueCountFrequency (%)
美 2
100.0%

업종
Categorical

Distinct15
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
일반미용업
153 
숙박업(일반)
52 
세탁업
45 
피부미용업
30 
네일미용업
17 
Other values (10)
35 

Length

Max length23
Median length5
Mean length5.5451807
Min length3

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row일반미용업
2nd row세탁업
3rd row숙박업(일반)
4th row목욕장업
5th row일반미용업

Common Values

ValueCountFrequency (%)
일반미용업 153
46.1%
숙박업(일반) 52
 
15.7%
세탁업 45
 
13.6%
피부미용업 30
 
9.0%
네일미용업 17
 
5.1%
이용업 11
 
3.3%
피부미용업, 네일미용업 6
 
1.8%
목욕장업 4
 
1.2%
일반미용업, 네일미용업 4
 
1.2%
네일미용업, 화장ㆍ분장 미용업 4
 
1.2%
Other values (5) 6
 
1.8%

Length

2023-12-12T12:17:04.714036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 161
44.4%
숙박업(일반 52
 
14.3%
세탁업 45
 
12.4%
피부미용업 38
 
10.5%
네일미용업 35
 
9.6%
이용업 11
 
3.0%
화장ㆍ분장 8
 
2.2%
미용업 8
 
2.2%
목욕장업 4
 
1.1%
종합미용업 1
 
0.3%

소재지(도로명)
Text

Distinct331
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T12:17:05.100526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length33.394578
Min length22

Characters and Unicode

Total characters11087
Distinct characters211
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)99.4%

Sample

1st row대구광역시 달서구 달서대로 65-11 (유천동,외1필지)
2nd row대구광역시 달서구 월배로28안길 20, 103호 (진천동,외2필지 대마엘리시움상가)
3rd row대구광역시 달서구 와룡로33길 19 (감삼동)
4th row대구광역시 달서구 달구벌대로332길 83 (감삼동)
5th row대구광역시 달서구 상화북로5길 26 (진천동,(지상1층))
ValueCountFrequency (%)
대구광역시 332
 
15.7%
달서구 332
 
15.7%
1층 100
 
4.7%
송현동 32
 
1.5%
상인동 31
 
1.5%
2층 30
 
1.4%
지상1층 30
 
1.4%
이곡동 23
 
1.1%
진천동 20
 
0.9%
호산동 18
 
0.8%
Other values (567) 1170
55.2%
2023-12-12T12:17:05.751633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1786
 
16.1%
구 691
 
6.2%
1 538
 
4.9%
동 444
 
4.0%
서 408
 
3.7%
대 405
 
3.7%
( 364
 
3.3%
) 364
 
3.3%
, 361
 
3.3%
달 357
 
3.2%
Other values (201) 5369
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6306
56.9%
Decimal Number 1825
 
16.5%
Space Separator 1786
 
16.1%
Open Punctuation 364
 
3.3%
Close Punctuation 364
 
3.3%
Other Punctuation 362
 
3.3%
Dash Punctuation 44
 
0.4%
Math Symbol 17
 
0.2%
Uppercase Letter 15
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 691
 
11.0%
동 444
 
7.0%
서 408
 
6.5%
대 405
 
6.4%
달 357
 
5.7%
역 339
 
5.4%
시 336
 
5.3%
광 334
 
5.3%
로 322
 
5.1%
층 234
 
3.7%
Other values (174) 2436
38.6%
Decimal Number
ValueCountFrequency (%)
1 538
29.5%
2 266
14.6%
0 197
 
10.8%
3 180
 
9.9%
5 145
 
7.9%
4 121
 
6.6%
9 102
 
5.6%
6 99
 
5.4%
8 92
 
5.0%
7 85
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
40.0%
M 2
 
13.3%
K 1
 
6.7%
R 1
 
6.7%
T 1
 
6.7%
S 1
 
6.7%
G 1
 
6.7%
E 1
 
6.7%
B 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 361
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1786
100.0%
Open Punctuation
ValueCountFrequency (%)
( 364
100.0%
Close Punctuation
ValueCountFrequency (%)
) 364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6306
56.9%
Common 4762
43.0%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 691
 
11.0%
동 444
 
7.0%
서 408
 
6.5%
대 405
 
6.4%
달 357
 
5.7%
역 339
 
5.4%
시 336
 
5.3%
광 334
 
5.3%
로 322
 
5.1%
층 234
 
3.7%
Other values (174) 2436
38.6%
Common
ValueCountFrequency (%)
1786
37.5%
1 538
 
11.3%
( 364
 
7.6%
) 364
 
7.6%
, 361
 
7.6%
2 266
 
5.6%
0 197
 
4.1%
3 180
 
3.8%
5 145
 
3.0%
4 121
 
2.5%
Other values (7) 440
 
9.2%
Latin
ValueCountFrequency (%)
A 6
31.6%
e 4
21.1%
M 2
 
10.5%
K 1
 
5.3%
R 1
 
5.3%
T 1
 
5.3%
S 1
 
5.3%
G 1
 
5.3%
E 1
 
5.3%
B 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6306
56.9%
ASCII 4781
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1786
37.4%
1 538
 
11.3%
( 364
 
7.6%
) 364
 
7.6%
, 361
 
7.6%
2 266
 
5.6%
0 197
 
4.1%
3 180
 
3.8%
5 145
 
3.0%
4 121
 
2.5%
Other values (17) 459
 
9.6%
Hangul
ValueCountFrequency (%)
구 691
 
11.0%
동 444
 
7.0%
서 408
 
6.5%
대 405
 
6.4%
달 357
 
5.7%
역 339
 
5.4%
시 336
 
5.3%
광 334
 
5.3%
로 322
 
5.1%
층 234
 
3.7%
Other values (174) 2436
38.6%

소재지(지번)
Text

Distinct329
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T12:17:06.047680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length24.873494
Min length16

Characters and Unicode

Total characters8258
Distinct characters170
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

Unique326 ?
Unique (%)98.2%

Sample

1st row대구광역시 달서구 유천동 479 외1필지
2nd row대구광역시 달서구 진천동 238-16 외2필지 대마엘리시움상가 103호
3rd row대구광역시 달서구 감삼동 559-5
4th row대구광역시 달서구 감삼동 122-1
5th row대구광역시 달서구 진천동 264-1 (지상1층)
ValueCountFrequency (%)
대구광역시 332
21.0%
달서구 332
21.0%
송현동 38
 
2.4%
상인동 36
 
2.3%
지상1층 34
 
2.2%
이곡동 27
 
1.7%
진천동 27
 
1.7%
용산동 26
 
1.6%
도원동 21
 
1.3%
신당동 20
 
1.3%
Other values (481) 688
43.5%
2023-12-12T12:17:06.557778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1531
18.5%
구 668
 
8.1%
1 476
 
5.8%
동 387
 
4.7%
대 360
 
4.4%
서 350
 
4.2%
역 338
 
4.1%
시 337
 
4.1%
광 334
 
4.0%
달 332
 
4.0%
Other values (160) 3145
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4525
54.8%
Decimal Number 1843
22.3%
Space Separator 1531
 
18.5%
Dash Punctuation 263
 
3.2%
Close Punctuation 43
 
0.5%
Open Punctuation 43
 
0.5%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 668
14.8%
동 387
 
8.6%
대 360
 
8.0%
서 350
 
7.7%
역 338
 
7.5%
시 337
 
7.4%
광 334
 
7.4%
달 332
 
7.3%
상 117
 
2.6%
호 90
 
2.0%
Other values (140) 1212
26.8%
Decimal Number
ValueCountFrequency (%)
1 476
25.8%
0 227
12.3%
2 216
11.7%
4 171
 
9.3%
3 151
 
8.2%
7 146
 
7.9%
9 119
 
6.5%
5 118
 
6.4%
6 112
 
6.1%
8 107
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
M 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4525
54.8%
Common 3727
45.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 668
14.8%
동 387
 
8.6%
대 360
 
8.0%
서 350
 
7.7%
역 338
 
7.5%
시 337
 
7.4%
광 334
 
7.4%
달 332
 
7.3%
상 117
 
2.6%
호 90
 
2.0%
Other values (140) 1212
26.8%
Common
ValueCountFrequency (%)
1531
41.1%
1 476
 
12.8%
- 263
 
7.1%
0 227
 
6.1%
2 216
 
5.8%
4 171
 
4.6%
3 151
 
4.1%
7 146
 
3.9%
9 119
 
3.2%
5 118
 
3.2%
Other values (6) 309
 
8.3%
Latin
ValueCountFrequency (%)
e 3
50.0%
A 1
 
16.7%
M 1
 
16.7%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4525
54.8%
ASCII 3733
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1531
41.0%
1 476
 
12.8%
- 263
 
7.0%
0 227
 
6.1%
2 216
 
5.8%
4 171
 
4.6%
3 151
 
4.0%
7 146
 
3.9%
9 119
 
3.2%
5 118
 
3.2%
Other values (10) 315
 
8.4%
Hangul
ValueCountFrequency (%)
구 668
14.8%
동 387
 
8.6%
대 360
 
8.0%
서 350
 
7.7%
역 338
 
7.5%
시 337
 
7.4%
광 334
 
7.4%
달 332
 
7.3%
상 117
 
2.6%
호 90
 
2.0%
Other values (140) 1212
26.8%

전화번호
Text

MISSING 

Distinct245
Distinct (%)100.0%
Missing87
Missing (%)26.2%
Memory size2.7 KiB
2023-12-12T12:17:06.889684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.016327
Min length12

Characters and Unicode

Total characters2944
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

Unique245 ?
Unique (%)100.0%

Sample

1st row053-635-3502
2nd row053-634-4777
3rd row053-563-8266
4th row053-564-0738
5th row053-631-5092
ValueCountFrequency (%)
053-633-8181 1
 
0.4%
053-587-4540 1
 
0.4%
053-593-3360 1
 
0.4%
053-655-9937 1
 
0.4%
053-634-1677 1
 
0.4%
053-288-8332 1
 
0.4%
053-623-0976 1
 
0.4%
053-521-0757 1
 
0.4%
053-642-1553 1
 
0.4%
053-581-9119 1
 
0.4%
Other values (235) 235
95.9%
2023-12-12T12:17:07.458336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 505
17.2%
- 490
16.6%
3 437
14.8%
0 380
12.9%
6 238
8.1%
2 208
7.1%
8 156
 
5.3%
1 139
 
4.7%
7 139
 
4.7%
4 127
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2454
83.4%
Dash Punctuation 490
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 505
20.6%
3 437
17.8%
0 380
15.5%
6 238
9.7%
2 208
8.5%
8 156
 
6.4%
1 139
 
5.7%
7 139
 
5.7%
4 127
 
5.2%
9 125
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2944
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 505
17.2%
- 490
16.6%
3 437
14.8%
0 380
12.9%
6 238
8.1%
2 208
7.1%
8 156
 
5.3%
1 139
 
4.7%
7 139
 
4.7%
4 127
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 505
17.2%
- 490
16.6%
3 437
14.8%
0 380
12.9%
6 238
8.1%
2 208
7.1%
8 156
 
5.3%
1 139
 
4.7%
7 139
 
4.7%
4 127
 
4.3%

행정동
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
신당동
52 
진천동
33 
송현1동
21 
도원동
21 
월성1동
20 
Other values (17)
185 

Length

Max length6
Median length4
Mean length3.5391566
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유천동
2nd row진천동
3rd row감삼동
4th row감삼동
5th row진천동

Common Values

ValueCountFrequency (%)
신당동 52
15.7%
진천동 33
 
9.9%
송현1동 21
 
6.3%
도원동 21
 
6.3%
월성1동 20
 
6.0%
용산1동 18
 
5.4%
상인2동 18
 
5.4%
송현2동 17
 
5.1%
상인1동 15
 
4.5%
이곡1동 15
 
4.5%
Other values (12) 102
30.7%

Length

2023-12-12T12:17:07.651963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신당동 52
15.7%
진천동 33
 
9.9%
송현1동 21
 
6.3%
도원동 21
 
6.3%
월성1동 20
 
6.0%
용산1동 18
 
5.4%
상인2동 18
 
5.4%
송현2동 17
 
5.1%
상인1동 15
 
4.5%
이곡1동 15
 
4.5%
Other values (12) 102
30.7%

주관부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
대구광역시 달서구 위생과
332 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서구 위생과 332
100.0%

Length

2023-12-12T12:17:07.798777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:07.923273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 332
33.3%
달서구 332
33.3%
위생과 332
33.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-03-20
332 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-20
2nd row2023-03-20
3rd row2023-03-20
4th row2023-03-20
5th row2023-03-20

Common Values

ValueCountFrequency (%)
2023-03-20 332
100.0%

Length

2023-12-12T12:17:08.038672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:17:08.169095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-20 332
100.0%

Interactions

2023-12-12T12:17:01.353919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:00.490463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:00.927292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:01.483278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:00.623350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:01.068858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:01.616908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:00.767352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:17:01.200317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:17:08.251707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도번호업종행정동
위도1.0000.7680.1910.5160.925
경도0.7681.0000.2690.4700.919
번호0.1910.2691.0000.4520.217
업종0.5160.4700.4521.0000.346
행정동0.9250.9190.2170.3461.000
2023-12-12T12:17:08.387858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업종
행정동1.0000.113
업종0.1131.000
2023-12-12T12:17:08.497775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도번호업종행정동
위도1.000-0.2230.0060.2180.671
경도-0.2231.000-0.1220.1910.655
번호0.006-0.1221.0000.1840.079
업종0.2180.1910.1841.0000.113
행정동0.6710.6550.0790.1131.000

Missing values

2023-12-12T12:17:01.805639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:17:02.037858image/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

위도경도번호업소명업종소재지(도로명)소재지(지번)전화번호행정동주관부서기준일자
035.813575128.5096371청담일반미용업대구광역시 달서구 달서대로 65-11 (유천동,외1필지)대구광역시 달서구 유천동 479 외1필지053-635-3502유천동대구광역시 달서구 위생과2023-03-20
135.814592128.5286662하얀세탁소세탁업대구광역시 달서구 월배로28안길 20, 103호 (진천동,외2필지 대마엘리시움상가)대구광역시 달서구 진천동 238-16 외2필지 대마엘리시움상가 103호053-634-4777진천동대구광역시 달서구 위생과2023-03-20
235.846869128.5347263지지모텔숙박업(일반)대구광역시 달서구 와룡로33길 19 (감삼동)대구광역시 달서구 감삼동 559-5053-563-8266감삼동대구광역시 달서구 위생과2023-03-20
335.850339128.5466284유신헬스사우나목욕장업대구광역시 달서구 달구벌대로332길 83 (감삼동)대구광역시 달서구 감삼동 122-1053-564-0738감삼동대구광역시 달서구 위생과2023-03-20
435.811591128.5285135헤어시티일반미용업대구광역시 달서구 상화북로5길 26 (진천동,(지상1층))대구광역시 달서구 진천동 264-1 (지상1층)053-631-5092진천동대구광역시 달서구 위생과2023-03-20
535.817097128.5329656이훈헤어칼라20000일반미용업대구광역시 달서구 월배로 174, 2층 (상인동)대구광역시 달서구 상인동 314-13053-639-5990상인2동대구광역시 달서구 위생과2023-03-20
635.826462128.5508477송경 이용소이용업대구광역시 달서구 월배로74길 42 (송현동,(지상1층))대구광역시 달서구 송현동 798-108 (지상1층)<NA>송현1동대구광역시 달서구 위생과2023-03-20
735.852117128.5342638현대세탁소세탁업대구광역시 달서구 와룡로43길 50 (죽전동)대구광역시 달서구 죽전동 407-12053-524-2080죽전동대구광역시 달서구 위생과2023-03-20
835.855683128.5121999오투르헤어샵일반미용업대구광역시 달서구 이곡공원로 33, 106동 101호 (이곡동,성서동서화성타운)대구광역시 달서구 이곡동 1304-1 성서동서화성타운 106동 101호053-581-0645이곡1동대구광역시 달서구 위생과2023-03-20
935.840472128.53825810다모아 비치숙박업(일반)대구광역시 달서구 와룡로18길 15, 2~4층 (본리동)대구광역시 달서구 본리동 374-5053-527-1021본리동대구광역시 달서구 위생과2023-03-20
위도경도번호업소명업종소재지(도로명)소재지(지번)전화번호행정동주관부서기준일자
32235.82523128.526213323메드벨헤어일반미용업, 화장ㆍ분장 미용업대구광역시 달서구 조암로 32, 1층 106호 (월성동, 신월성미소지움)대구광역시 달서구 월성동 1827<NA>월성1동대구광역시 달서구 위생과2023-03-20
32335.818447128.539304324라브리지헤어일반미용업대구광역시 달서구 월곡로 268-6, 상인빌딩 2층 (상인동)대구광역시 달서구 상인동 1507053-423-0997상인1동대구광역시 달서구 위생과2023-03-20
32435.849244128.533602325비앤비호텔숙박업(일반)대구광역시 달서구 달구벌대로304길 3 (감삼동)대구광역시 달서구 감삼동 599-75053-527-8264감삼동대구광역시 달서구 위생과2023-03-20
32535.826564128.548313326제이드엘렌일반미용업대구광역시 달서구 월배로 354, 2층 (송현동)대구광역시 달서구 송현동 798-9053-642-6244송현1동대구광역시 달서구 위생과2023-03-20
32635.818279128.532553327라브리지홈플러스상인점일반미용업대구광역시 달서구 월배로 183, 105동 B101호 (상인동,상인대성스카이렉스)대구광역시 달서구 상인동 171-1 상인대성스카이렉스 105동 B101호<NA>상인1동대구광역시 달서구 위생과2023-03-20
32735.824889128.547892328네일 끌리고 헤어일반미용업, 네일미용업대구광역시 달서구 월배로68길 18 (송현동,(지상1층))대구광역시 달서구 송현동 798-272 (지상1층)053-653-4754송현1동대구광역시 달서구 위생과2023-03-20
32835.850016128.526245329다온미용실일반미용업대구광역시 달서구 장산남로 33, 302동 2층 207호 (용산동, 용산롯데캐슬그랜드)대구광역시 달서구 용산동 230-10 용산롯데캐슬그랜드053-523-3222용산1동대구광역시 달서구 위생과2023-03-20
32935.839198128.552684330더인헤어샵일반미용업대구광역시 달서구 야외음악당로 21-1, 1층 (성당동)대구광역시 달서구 성당동 392-13053-621-0333성당동대구광역시 달서구 위생과2023-03-20
33035.857189128.499166331하임뷰티아카데미일반미용업, 피부미용업, 네일미용업대구광역시 달서구 선원로14길 42, 1층 (신당동)대구광역시 달서구 신당동 75-10053-584-4045신당동대구광역시 달서구 위생과2023-03-20
33135.820885128.546348332월촌가이아hair일반미용업대구광역시 달서구 송현로7길 20, 상인화성파크드림 1222동 2층 206-1호 (상인동)대구광역시 달서구 상인동 1596 상인화성파크드림1단지아파트053-635-1246상인1동대구광역시 달서구 위생과2023-03-20