Overview

Dataset statistics

Number of variables10
Number of observations469
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.1 KiB
Average record size in memory83.3 B

Variable types

Numeric3
Text4
Categorical2
DateTime1

Dataset

Description대구광역시 달서구 내 노래연습장(코인노래방 포함)에 대한 내용 및 정보가 담겨있음.(상호명, 주소, 전화번호 등)
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15076545/fileData.do

Alerts

업종 has constant value ""Constant
관리부서 has constant value ""Constant
기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:09:23.706835
Analysis finished2023-12-12 01:09:25.711649
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct458
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.839818
Minimum35.801931
Maximum35.862148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T10:09:25.799050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.801931
5-th percentile35.808675
Q135.824732
median35.843681
Q335.855132
95-th percentile35.858532
Maximum35.862148
Range0.06021782
Interquartile range (IQR)0.03040001

Descriptive statistics

Standard deviation0.017683877
Coefficient of variation (CV)0.00049341426
Kurtosis-1.0865033
Mean35.839818
Median Absolute Deviation (MAD)0.01186585
Skewness-0.6310616
Sum16808.874
Variance0.00031271951
MonotonicityNot monotonic
2023-12-12T10:09:25.977766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.82753343 2
 
0.4%
35.82182605 2
 
0.4%
35.85497187 2
 
0.4%
35.85620374 2
 
0.4%
35.83672329 2
 
0.4%
35.8578036 2
 
0.4%
35.8079343 2
 
0.4%
35.85329354 2
 
0.4%
35.85478342 2
 
0.4%
35.81791126 2
 
0.4%
Other values (448) 449
95.7%
ValueCountFrequency (%)
35.80193066 1
0.2%
35.80571222 1
0.2%
35.80697431 1
0.2%
35.80702145 1
0.2%
35.80724642 1
0.2%
35.80726538 1
0.2%
35.80728434 1
0.2%
35.80752454 1
0.2%
35.80754292 1
0.2%
35.8075436 1
0.2%
ValueCountFrequency (%)
35.86214848 1
0.2%
35.86193718 1
0.2%
35.86150444 1
0.2%
35.86142533 1
0.2%
35.86126875 1
0.2%
35.86122647 1
0.2%
35.86103864 1
0.2%
35.86088208 1
0.2%
35.85993465 1
0.2%
35.85979242 1
0.2%

경도
Real number (ℝ)

Distinct458
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52975
Minimum128.47653
Maximum128.57423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T10:09:26.216639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47653
5-th percentile128.49063
Q1128.51031
median128.53393
Q3128.54758
95-th percentile128.55797
Maximum128.57423
Range0.0977
Interquartile range (IQR)0.0372671

Descriptive statistics

Standard deviation0.022015622
Coefficient of variation (CV)0.00017128814
Kurtosis-0.67137972
Mean128.52975
Median Absolute Deviation (MAD)0.0149097
Skewness-0.4249037
Sum60280.454
Variance0.00048468762
MonotonicityNot monotonic
2023-12-12T10:09:26.459802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5311094 2
 
0.4%
128.5192075 2
 
0.4%
128.5526057 2
 
0.4%
128.5292971 2
 
0.4%
128.5557884 2
 
0.4%
128.5303153 2
 
0.4%
128.5360906 2
 
0.4%
128.5060943 2
 
0.4%
128.5524272 2
 
0.4%
128.5402856 2
 
0.4%
Other values (448) 449
95.7%
ValueCountFrequency (%)
128.4765269 1
0.2%
128.4769945 1
0.2%
128.4774129 1
0.2%
128.4775679 1
0.2%
128.4850976 1
0.2%
128.4852873 1
0.2%
128.4852968 1
0.2%
128.4855486 1
0.2%
128.4855675 1
0.2%
128.4855736 1
0.2%
ValueCountFrequency (%)
128.5742269 1
0.2%
128.5741127 1
0.2%
128.5735305 1
0.2%
128.5731042 1
0.2%
128.5722494 1
0.2%
128.5719485 1
0.2%
128.5718281 1
0.2%
128.5706422 1
0.2%
128.5701577 1
0.2%
128.5692906 1
0.2%

번호
Real number (ℝ)

UNIQUE 

Distinct469
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235
Minimum1
Maximum469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T10:09:26.629996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.4
Q1118
median235
Q3352
95-th percentile445.6
Maximum469
Range468
Interquartile range (IQR)234

Descriptive statistics

Standard deviation135.5329
Coefficient of variation (CV)0.57673574
Kurtosis-1.2
Mean235
Median Absolute Deviation (MAD)117
Skewness0
Sum110215
Variance18369.167
MonotonicityStrictly increasing
2023-12-12T10:09:26.779693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
310 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
Other values (459) 459
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%
463 1
0.2%
462 1
0.2%
461 1
0.2%
460 1
0.2%
Distinct396
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T10:09:27.107276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length7.5842217
Min length1

Characters and Unicode

Total characters3557
Distinct characters376
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)72.9%

Sample

1st row마이오디션
2nd row두류노래연습장
3rd row팡팡
4th row드림노래연습장
5th row영상노래연습장
ValueCountFrequency (%)
노래연습장 12
 
2.4%
퀸노래연습장 5
 
1.0%
팡팡노래연습장 4
 
0.8%
벤츠노래연습장 4
 
0.8%
풀노래연습장 4
 
0.8%
황제노래연습장 4
 
0.8%
딸기노래연습장 3
 
0.6%
라이브노래연습장 3
 
0.6%
천사노래연습장 3
 
0.6%
황진이노래연습장 3
 
0.6%
Other values (395) 448
90.9%
2023-12-12T10:09:27.630266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
 
12.3%
436
 
12.3%
436
 
12.3%
436
 
12.3%
433
 
12.2%
42
 
1.2%
40
 
1.1%
32
 
0.9%
32
 
0.9%
) 26
 
0.7%
Other values (366) 1207
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3350
94.2%
Uppercase Letter 84
 
2.4%
Lowercase Letter 31
 
0.9%
Close Punctuation 26
 
0.7%
Open Punctuation 26
 
0.7%
Space Separator 24
 
0.7%
Decimal Number 13
 
0.4%
Other Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
437
13.0%
436
13.0%
436
13.0%
436
13.0%
433
12.9%
42
 
1.3%
40
 
1.2%
32
 
1.0%
32
 
1.0%
22
 
0.7%
Other values (318) 1004
30.0%
Uppercase Letter
ValueCountFrequency (%)
O 12
14.3%
S 9
10.7%
H 8
9.5%
M 7
 
8.3%
A 6
 
7.1%
N 6
 
7.1%
E 5
 
6.0%
K 5
 
6.0%
W 4
 
4.8%
V 3
 
3.6%
Other values (12) 19
22.6%
Lowercase Letter
ValueCountFrequency (%)
n 5
16.1%
h 4
12.9%
a 4
12.9%
i 3
9.7%
s 3
9.7%
y 3
9.7%
o 2
 
6.5%
e 2
 
6.5%
w 2
 
6.5%
u 1
 
3.2%
Other values (2) 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
2 3
23.1%
1 2
15.4%
7 2
15.4%
0 2
15.4%
9 1
 
7.7%
8 1
 
7.7%
5 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3350
94.2%
Latin 116
 
3.3%
Common 91
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
437
13.0%
436
13.0%
436
13.0%
436
13.0%
433
12.9%
42
 
1.3%
40
 
1.2%
32
 
1.0%
32
 
1.0%
22
 
0.7%
Other values (318) 1004
30.0%
Latin
ValueCountFrequency (%)
O 12
 
10.3%
S 9
 
7.8%
H 8
 
6.9%
M 7
 
6.0%
A 6
 
5.2%
N 6
 
5.2%
E 5
 
4.3%
K 5
 
4.3%
n 5
 
4.3%
h 4
 
3.4%
Other values (25) 49
42.2%
Common
ValueCountFrequency (%)
) 26
28.6%
( 26
28.6%
24
26.4%
2 3
 
3.3%
1 2
 
2.2%
7 2
 
2.2%
0 2
 
2.2%
& 1
 
1.1%
9 1
 
1.1%
8 1
 
1.1%
Other values (3) 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3350
94.2%
ASCII 206
 
5.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
437
13.0%
436
13.0%
436
13.0%
436
13.0%
433
12.9%
42
 
1.3%
40
 
1.2%
32
 
1.0%
32
 
1.0%
22
 
0.7%
Other values (318) 1004
30.0%
ASCII
ValueCountFrequency (%)
) 26
 
12.6%
( 26
 
12.6%
24
 
11.7%
O 12
 
5.8%
S 9
 
4.4%
H 8
 
3.9%
M 7
 
3.4%
A 6
 
2.9%
N 6
 
2.9%
E 5
 
2.4%
Other values (37) 77
37.4%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct468
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T10:09:28.085228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length29.84435
Min length20

Characters and Unicode

Total characters13997
Distinct characters122
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

Unique467 ?
Unique (%)99.6%

Sample

1st row대구광역시 달서구 야외음악당로39길 90 (두류동)
2nd row대구광역시 달서구 당산동길 15 (성당동,(지하1층))
3rd row대구광역시 달서구 달구벌대로340길 27 (두류동,(지하1층))
4th row대구광역시 달서구 송현로 28 (송현동,(지하1층))
5th row대구광역시 달서구 명덕로2길 11 (두류동,(지하1층))
ValueCountFrequency (%)
대구광역시 469
 
18.4%
달서구 469
 
18.4%
지하1층 70
 
2.7%
2층 51
 
2.0%
이곡동 35
 
1.4%
상인동,(지하1층 31
 
1.2%
두류동 27
 
1.1%
월배로 24
 
0.9%
상인동 23
 
0.9%
용산로 21
 
0.8%
Other values (486) 1334
52.2%
2023-12-12T10:09:28.685899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2123
 
15.2%
1009
 
7.2%
( 713
 
5.1%
) 713
 
5.1%
572
 
4.1%
1 565
 
4.0%
539
 
3.9%
531
 
3.8%
506
 
3.6%
469
 
3.4%
Other values (112) 6257
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8092
57.8%
Space Separator 2123
 
15.2%
Decimal Number 1889
 
13.5%
Open Punctuation 713
 
5.1%
Close Punctuation 713
 
5.1%
Other Punctuation 422
 
3.0%
Dash Punctuation 44
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1009
 
12.5%
572
 
7.1%
539
 
6.7%
531
 
6.6%
506
 
6.3%
469
 
5.8%
469
 
5.8%
469
 
5.8%
450
 
5.6%
409
 
5.1%
Other values (95) 2669
33.0%
Decimal Number
ValueCountFrequency (%)
1 565
29.9%
2 323
17.1%
3 187
 
9.9%
4 171
 
9.1%
7 130
 
6.9%
5 118
 
6.2%
0 116
 
6.1%
6 107
 
5.7%
8 88
 
4.7%
9 84
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 420
99.5%
/ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8092
57.8%
Common 5904
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1009
 
12.5%
572
 
7.1%
539
 
6.7%
531
 
6.6%
506
 
6.3%
469
 
5.8%
469
 
5.8%
469
 
5.8%
450
 
5.6%
409
 
5.1%
Other values (95) 2669
33.0%
Common
ValueCountFrequency (%)
2123
36.0%
( 713
 
12.1%
) 713
 
12.1%
1 565
 
9.6%
, 420
 
7.1%
2 323
 
5.5%
3 187
 
3.2%
4 171
 
2.9%
7 130
 
2.2%
5 118
 
2.0%
Other values (6) 441
 
7.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8092
57.8%
ASCII 5905
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2123
36.0%
( 713
 
12.1%
) 713
 
12.1%
1 565
 
9.6%
, 420
 
7.1%
2 323
 
5.5%
3 187
 
3.2%
4 171
 
2.9%
7 130
 
2.2%
5 118
 
2.0%
Other values (7) 442
 
7.5%
Hangul
ValueCountFrequency (%)
1009
 
12.5%
572
 
7.1%
539
 
6.7%
531
 
6.6%
506
 
6.3%
469
 
5.8%
469
 
5.8%
469
 
5.8%
450
 
5.6%
409
 
5.1%
Other values (95) 2669
33.0%
Distinct468
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T10:09:28.983068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length26.684435
Min length18

Characters and Unicode

Total characters12515
Distinct characters82
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

Unique467 ?
Unique (%)99.6%

Sample

1st row대구광역시 달서구 두류동 493-9 (2층)
2nd row대구광역시 달서구 성당동 707-1 (지하1층)
3rd row대구광역시 달서구 두류동 610-1 (지하1층)
4th row대구광역시 달서구 송현동 1949-33 (지하1층)
5th row대구광역시 달서구 두류동 1218-9 (지하1층)
ValueCountFrequency (%)
대구광역시 469
20.1%
달서구 469
20.1%
지하1층 277
 
11.9%
2층 71
 
3.0%
상인동 61
 
2.6%
이곡동 57
 
2.4%
두류동 50
 
2.1%
송현동 45
 
1.9%
용산동 39
 
1.7%
신당동 34
 
1.5%
Other values (505) 765
32.7%
2023-12-12T10:09:29.767539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2334
18.6%
939
 
7.5%
1 846
 
6.8%
479
 
3.8%
472
 
3.8%
470
 
3.8%
469
 
3.7%
469
 
3.7%
469
 
3.7%
469
 
3.7%
Other values (72) 5099
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6300
50.3%
Decimal Number 2669
21.3%
Space Separator 2334
 
18.6%
Dash Punctuation 426
 
3.4%
Close Punctuation 389
 
3.1%
Open Punctuation 389
 
3.1%
Other Punctuation 7
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
939
14.9%
479
 
7.6%
472
 
7.5%
470
 
7.5%
469
 
7.4%
469
 
7.4%
469
 
7.4%
469
 
7.4%
428
 
6.8%
333
 
5.3%
Other values (54) 1303
20.7%
Decimal Number
ValueCountFrequency (%)
1 846
31.7%
2 401
15.0%
3 260
 
9.7%
4 222
 
8.3%
0 193
 
7.2%
9 170
 
6.4%
7 168
 
6.3%
5 164
 
6.1%
6 131
 
4.9%
8 114
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
/ 2
28.6%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 389
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6300
50.3%
Common 6214
49.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
939
14.9%
479
 
7.6%
472
 
7.5%
470
 
7.5%
469
 
7.4%
469
 
7.4%
469
 
7.4%
469
 
7.4%
428
 
6.8%
333
 
5.3%
Other values (54) 1303
20.7%
Common
ValueCountFrequency (%)
2334
37.6%
1 846
 
13.6%
- 426
 
6.9%
2 401
 
6.5%
) 389
 
6.3%
( 389
 
6.3%
3 260
 
4.2%
4 222
 
3.6%
0 193
 
3.1%
9 170
 
2.7%
Other values (7) 584
 
9.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6300
50.3%
ASCII 6215
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2334
37.6%
1 846
 
13.6%
- 426
 
6.9%
2 401
 
6.5%
) 389
 
6.3%
( 389
 
6.3%
3 260
 
4.2%
4 222
 
3.6%
0 193
 
3.1%
9 170
 
2.7%
Other values (8) 585
 
9.4%
Hangul
ValueCountFrequency (%)
939
14.9%
479
 
7.6%
472
 
7.5%
470
 
7.5%
469
 
7.4%
469
 
7.4%
469
 
7.4%
469
 
7.4%
428
 
6.8%
333
 
5.3%
Other values (54) 1303
20.7%
Distinct367
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T10:09:30.135659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004264
Min length12

Characters and Unicode

Total characters5630
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

Unique365 ?
Unique (%)77.8%

Sample

1st row000-000-0000
2nd row053-654-0919
3rd row053-652-2264
4th row053-627-1243
5th row053-627-7957
ValueCountFrequency (%)
000-000-0000 102
 
21.7%
053-582-2505 2
 
0.4%
053-636-5412 1
 
0.2%
053-592-5004 1
 
0.2%
053-591-3052 1
 
0.2%
053-522-9817 1
 
0.2%
053-632-7137 1
 
0.2%
053-582-1332 1
 
0.2%
053-582-8664 1
 
0.2%
053-626-8222 1
 
0.2%
Other values (357) 357
76.1%
2023-12-12T10:09:30.595232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1562
27.7%
- 938
16.7%
5 815
14.5%
3 655
11.6%
6 383
 
6.8%
2 308
 
5.5%
8 273
 
4.8%
1 202
 
3.6%
4 186
 
3.3%
7 171
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4692
83.3%
Dash Punctuation 938
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1562
33.3%
5 815
17.4%
3 655
14.0%
6 383
 
8.2%
2 308
 
6.6%
8 273
 
5.8%
1 202
 
4.3%
4 186
 
4.0%
7 171
 
3.6%
9 137
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1562
27.7%
- 938
16.7%
5 815
14.5%
3 655
11.6%
6 383
 
6.8%
2 308
 
5.5%
8 273
 
4.8%
1 202
 
3.6%
4 186
 
3.3%
7 171
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1562
27.7%
- 938
16.7%
5 815
14.5%
3 655
11.6%
6 383
 
6.8%
2 308
 
5.5%
8 273
 
4.8%
1 202
 
3.6%
4 186
 
3.3%
7 171
 
3.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
노래연습장업
469 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 469
100.0%

Length

2023-12-12T10:09:30.744438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:30.839305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 469
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
위생과
469 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위생과 469
100.0%

Length

2023-12-12T10:09:30.931624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:31.019182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생과 469
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2023-03-20 00:00:00
Maximum2023-03-20 00:00:00
2023-12-12T10:09:31.093642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:31.184305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:09:25.050480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.255462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.641938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:25.183013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.387991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.801147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:25.282915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.510246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:09:24.924895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:09:31.271571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도번호
위도1.0000.7400.362
경도0.7401.0000.327
번호0.3620.3271.000
2023-12-12T10:09:31.371907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도번호
위도1.000-0.209-0.029
경도-0.2091.000-0.221
번호-0.029-0.2211.000

Missing values

2023-12-12T10:09:25.402949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:09:25.619128image/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

위도경도번호상호명영업소도로명소재지영업소지번소재지전화번호업종관리부서기준일자
035.855476128.5526981마이오디션대구광역시 달서구 야외음악당로39길 90 (두류동)대구광역시 달서구 두류동 493-9 (2층)000-000-0000노래연습장업위생과2023-03-20
135.84537128.5454212두류노래연습장대구광역시 달서구 당산동길 15 (성당동,(지하1층))대구광역시 달서구 성당동 707-1 (지하1층)053-654-0919노래연습장업위생과2023-03-20
235.854164128.5519693팡팡대구광역시 달서구 달구벌대로340길 27 (두류동,(지하1층))대구광역시 달서구 두류동 610-1 (지하1층)053-652-2264노래연습장업위생과2023-03-20
335.821811128.5488784드림노래연습장대구광역시 달서구 송현로 28 (송현동,(지하1층))대구광역시 달서구 송현동 1949-33 (지하1층)053-627-1243노래연습장업위생과2023-03-20
435.861226128.5719485영상노래연습장대구광역시 달서구 명덕로2길 11 (두류동,(지하1층))대구광역시 달서구 두류동 1218-9 (지하1층)053-627-7957노래연습장업위생과2023-03-20
535.836998128.5567096팡팡노래연습장대구광역시 달서구 월배로 493 (송현동)대구광역시 달서구 송현동 1042-2 (지하1층)053-656-7996노래연습장업위생과2023-03-20
635.843615128.5526047원노래연습장대구광역시 달서구 장기로 72 (성당동,(지하1층))대구광역시 달서구 성당동 654-20 (지하1층)053-653-1672노래연습장업위생과2023-03-20
735.861504128.5722498희도노래연습장대구광역시 달서구 명덕로 4 (두류동,(3층))대구광역시 달서구 두류동 1201-22 (3층)053-653-1997노래연습장업위생과2023-03-20
835.854548128.552579비엠더블대구광역시 달서구 달구벌대로344길 41 (두류동)대구광역시 달서구 두류동 610-6 (지하1층)053-621-8274노래연습장업위생과2023-03-20
935.816166128.53352310이차 노래연습장대구광역시 달서구 상원로 80, 지하1층 (상인동)대구광역시 달서구 상인동 1438-7 (지하1층)053-634-4966노래연습장업위생과2023-03-20
위도경도번호상호명영업소도로명소재지영업소지번소재지전화번호업종관리부서기준일자
45935.85428128.509433460더보이스코인노래연습장대구광역시 달서구 이곡동로 17, 2층 201호 (이곡동)대구광역시 달서구 이곡동 1246-4000-000-0000노래연습장업위생과2023-03-20
46035.824376128.521393461큐코인노래연습장대구광역시 달서구 조암로14길 15, 2층 (월성동)대구광역시 달서구 월성동 1437-3000-000-0000노래연습장업위생과2023-03-20
46135.821826128.519207462체리노래연습장대구광역시 달서구 조암로 105, 그루조암타워 7층 703호 (월암동)대구광역시 달서구 월암동 1136 그루조암타워000-000-0000노래연습장업위생과2023-03-20
46235.855818128.492979463쏭쏭투동전노래연습장대구광역시 달서구 계대동문로 5, 지하1층 (신당동)대구광역시 달서구 신당동 1721-17000-000-0000노래연습장업위생과2023-03-20
46335.826489128.528922464복스(VOX)코인노래연습장대구광역시 달서구 조암로6길 6-45, 3층 (월성동)대구광역시 달서구 월성동 1810000-000-0000노래연습장업위생과2023-03-20
46435.821826128.519207465와우코인노래연습장대구광역시 달서구 조암로 105, 그루조암타워 2층 202호 (월암동)대구광역시 달서구 월암동 1136 그루조암타워000-000-0000노래연습장업위생과2023-03-20
46535.801931128.532211466해피동전노래연습장대구광역시 달서구 갈밭남로9길 18, 수성타워 3층 301호 (대곡동)대구광역시 달서구 대곡동 1081 수성타워000-000-0000노래연습장업위생과2023-03-20
46635.818519128.516973467비스타코인노래연습장대구광역시 달서구 조암남로32길 20-8, 비스타2 1층 107, 108호 (대천동)대구광역시 달서구 대천동 940 비스타2000-000-0000노래연습장업위생과2023-03-20
46735.853893128.548048468와우동전노래연습장대구광역시 달서구 달구벌대로 1664, 지하1층 (감삼동)대구광역시 달서구 감삼동 106-2000-000-0000노래연습장업위생과2023-03-20
46835.855524128.509319469이게코인노래연습장이다대구광역시 달서구 이곡공원로 15, 2층 (이곡동)대구광역시 달서구 이곡동 1238-8000-000-0000노래연습장업위생과2023-03-20