Overview

Dataset statistics

Number of variables7
Number of observations489
Missing cells69
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 KiB
Average record size in memory58.3 B

Variable types

Text4
Numeric2
DateTime1

Dataset

Description대구광역시 달서구_노래연습장현황_20220503
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15076545&dataSetDetailId=150765451b08aead25af6&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 69 (14.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:38:54.073273
Analysis finished2023-12-10 17:38:57.708640
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct416
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T02:38:58.087878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7
Min length1

Characters and Unicode

Total characters3423
Distinct characters367
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

Unique362 ?
Unique (%)74.0%

Sample

1st row와우동전노래방
2nd row세븐노래연습장
3rd row풀노래연습장
4th row풍차노래방
5th row케빈노래연습장
ValueCountFrequency (%)
노래연습장 10
 
1.9%
쇼노래연습장 6
 
1.2%
황제노래연습장 4
 
0.8%
황진이노래연습장 4
 
0.8%
벤츠노래연습장 4
 
0.8%
퀸노래연습장 4
 
0.8%
풀노래연습장 4
 
0.8%
신바람노래연습장 4
 
0.8%
팡팡노래방 3
 
0.6%
딸기노래연습장 3
 
0.6%
Other values (420) 470
91.1%
2023-12-11T02:38:58.935793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 456
 
13.3%
노 455
 
13.3%
연 366
 
10.7%
장 366
 
10.7%
습 363
 
10.6%
방 96
 
2.8%
이 38
 
1.1%
스 37
 
1.1%
동 35
 
1.0%
전 33
 
1.0%
Other values (357) 1178
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3311
96.7%
Uppercase Letter 43
 
1.3%
Space Separator 27
 
0.8%
Decimal Number 14
 
0.4%
Lowercase Letter 13
 
0.4%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 456
13.8%
노 455
13.7%
연 366
 
11.1%
장 366
 
11.1%
습 363
 
11.0%
방 96
 
2.9%
이 38
 
1.1%
스 37
 
1.1%
동 35
 
1.1%
전 33
 
1.0%
Other values (321) 1066
32.2%
Uppercase Letter
ValueCountFrequency (%)
M 6
14.0%
O 5
11.6%
E 4
9.3%
S 4
9.3%
B 4
9.3%
V 3
 
7.0%
N 2
 
4.7%
P 2
 
4.7%
T 2
 
4.7%
K 2
 
4.7%
Other values (7) 9
20.9%
Lowercase Letter
ValueCountFrequency (%)
k 3
23.1%
y 2
15.4%
e 2
15.4%
a 2
15.4%
r 1
 
7.7%
o 1
 
7.7%
u 1
 
7.7%
s 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
7 4
28.6%
2 3
21.4%
0 2
14.3%
1 2
14.3%
5 1
 
7.1%
9 1
 
7.1%
8 1
 
7.1%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3311
96.7%
Common 56
 
1.6%
Latin 56
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 456
13.8%
노 455
13.7%
연 366
 
11.1%
장 366
 
11.1%
습 363
 
11.0%
방 96
 
2.9%
이 38
 
1.1%
스 37
 
1.1%
동 35
 
1.1%
전 33
 
1.0%
Other values (321) 1066
32.2%
Latin
ValueCountFrequency (%)
M 6
 
10.7%
O 5
 
8.9%
E 4
 
7.1%
S 4
 
7.1%
B 4
 
7.1%
V 3
 
5.4%
k 3
 
5.4%
N 2
 
3.6%
P 2
 
3.6%
y 2
 
3.6%
Other values (15) 21
37.5%
Common
ValueCountFrequency (%)
27
48.2%
( 7
 
12.5%
) 7
 
12.5%
7 4
 
7.1%
2 3
 
5.4%
0 2
 
3.6%
1 2
 
3.6%
5 1
 
1.8%
& 1
 
1.8%
9 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3311
96.7%
ASCII 112
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 456
13.8%
노 455
13.7%
연 366
 
11.1%
장 366
 
11.1%
습 363
 
11.0%
방 96
 
2.9%
이 38
 
1.1%
스 37
 
1.1%
동 35
 
1.1%
전 33
 
1.0%
Other values (321) 1066
32.2%
ASCII
ValueCountFrequency (%)
27
24.1%
( 7
 
6.2%
) 7
 
6.2%
M 6
 
5.4%
O 5
 
4.5%
E 4
 
3.6%
7 4
 
3.6%
S 4
 
3.6%
B 4
 
3.6%
V 3
 
2.7%
Other values (26) 41
36.6%

영업소도로명소재지
Text

Distinct488
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T02:38:59.565058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length29.770961
Min length20

Characters and Unicode

Total characters14558
Distinct characters119
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

Unique487 ?
Unique (%)99.6%

Sample

1st row대구광역시 달서구 달구벌대로 1664, 지하1층 (감삼동)
2nd row대구광역시 달서구 당산로 193 (감삼동,(지하1층))
3rd row대구광역시 달서구 당산로 175 (감삼동,(지하1층))
4th row대구광역시 달서구 달구벌대로330길 17 (감삼동,(지상2층))
5th row대구광역시 달서구 달구벌대로330길 33 (감삼동,(지하1층))
ValueCountFrequency (%)
대구광역시 489
 
18.4%
달서구 489
 
18.4%
지하1층 73
 
2.7%
2층 53
 
2.0%
이곡동 37
 
1.4%
상인동,(지하1층 32
 
1.2%
두류동 27
 
1.0%
월배로 26
 
1.0%
상인동 24
 
0.9%
송현동,(지하1층 21
 
0.8%
Other values (498) 1386
52.2%
2023-12-11T02:39:00.666610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2209
 
15.2%
구 1052
 
7.2%
( 742
 
5.1%
) 742
 
5.1%
대 599
 
4.1%
1 582
 
4.0%
서 562
 
3.9%
달 554
 
3.8%
동 525
 
3.6%
광 489
 
3.4%
Other values (109) 6502
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8419
57.8%
Space Separator 2209
 
15.2%
Decimal Number 1963
 
13.5%
Open Punctuation 742
 
5.1%
Close Punctuation 742
 
5.1%
Other Punctuation 438
 
3.0%
Dash Punctuation 44
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1052
 
12.5%
대 599
 
7.1%
서 562
 
6.7%
달 554
 
6.6%
동 525
 
6.2%
광 489
 
5.8%
시 489
 
5.8%
역 489
 
5.8%
로 469
 
5.6%
층 425
 
5.0%
Other values (92) 2766
32.9%
Decimal Number
ValueCountFrequency (%)
1 582
29.6%
2 340
17.3%
3 188
 
9.6%
4 175
 
8.9%
7 136
 
6.9%
5 127
 
6.5%
0 120
 
6.1%
6 111
 
5.7%
8 95
 
4.8%
9 89
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 436
99.5%
/ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8419
57.8%
Common 6138
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1052
 
12.5%
대 599
 
7.1%
서 562
 
6.7%
달 554
 
6.6%
동 525
 
6.2%
광 489
 
5.8%
시 489
 
5.8%
역 489
 
5.8%
로 469
 
5.6%
층 425
 
5.0%
Other values (92) 2766
32.9%
Common
ValueCountFrequency (%)
2209
36.0%
( 742
 
12.1%
) 742
 
12.1%
1 582
 
9.5%
, 436
 
7.1%
2 340
 
5.5%
3 188
 
3.1%
4 175
 
2.9%
7 136
 
2.2%
5 127
 
2.1%
Other values (6) 461
 
7.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8419
57.8%
ASCII 6139
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2209
36.0%
( 742
 
12.1%
) 742
 
12.1%
1 582
 
9.5%
, 436
 
7.1%
2 340
 
5.5%
3 188
 
3.1%
4 175
 
2.9%
7 136
 
2.2%
5 127
 
2.1%
Other values (7) 462
 
7.5%
Hangul
ValueCountFrequency (%)
구 1052
 
12.5%
대 599
 
7.1%
서 562
 
6.7%
달 554
 
6.6%
동 525
 
6.2%
광 489
 
5.8%
시 489
 
5.8%
역 489
 
5.8%
로 469
 
5.6%
층 425
 
5.0%
Other values (92) 2766
32.9%

영업소지번소재지
Text

Distinct488
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T02:39:01.272028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length26.619632
Min length17

Characters and Unicode

Total characters13017
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

Unique487 ?
Unique (%)99.6%

Sample

1st row대구광역시 달서구 감삼동 106-2
2nd row대구광역시 달서구 감삼동 106-3 (지하1층)
3rd row대구광역시 달서구 감삼동 107-10 (지하1층)
4th row대구광역시 달서구 감삼동 114-1 (지상2층)
5th row대구광역시 달서구 감삼동 114-6 (지하1층)
ValueCountFrequency (%)
대구광역시 489
20.1%
달서구 489
20.1%
지하1층 286
 
11.7%
2층 74
 
3.0%
상인동 63
 
2.6%
이곡동 59
 
2.4%
두류동 52
 
2.1%
송현동 48
 
2.0%
용산동 40
 
1.6%
신당동 36
 
1.5%
Other values (525) 799
32.8%
2023-12-11T02:39:02.092576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2425
18.6%
구 979
 
7.5%
1 875
 
6.7%
대 500
 
3.8%
동 492
 
3.8%
광 490
 
3.8%
역 489
 
3.8%
시 489
 
3.8%
달 489
 
3.8%
서 489
 
3.8%
Other values (72) 5300
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6561
50.4%
Decimal Number 2773
21.3%
Space Separator 2425
 
18.6%
Dash Punctuation 441
 
3.4%
Close Punctuation 404
 
3.1%
Open Punctuation 404
 
3.1%
Other Punctuation 8
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 979
14.9%
대 500
 
7.6%
동 492
 
7.5%
광 490
 
7.5%
역 489
 
7.5%
시 489
 
7.5%
달 489
 
7.5%
서 489
 
7.5%
층 444
 
6.8%
지 346
 
5.3%
Other values (54) 1354
20.6%
Decimal Number
ValueCountFrequency (%)
1 875
31.6%
2 414
14.9%
3 268
 
9.7%
4 229
 
8.3%
0 199
 
7.2%
7 180
 
6.5%
9 180
 
6.5%
5 169
 
6.1%
6 136
 
4.9%
8 123
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
/ 2
 
25.0%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 404
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6561
50.4%
Common 6455
49.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 979
14.9%
대 500
 
7.6%
동 492
 
7.5%
광 490
 
7.5%
역 489
 
7.5%
시 489
 
7.5%
달 489
 
7.5%
서 489
 
7.5%
층 444
 
6.8%
지 346
 
5.3%
Other values (54) 1354
20.6%
Common
ValueCountFrequency (%)
2425
37.6%
1 875
 
13.6%
- 441
 
6.8%
2 414
 
6.4%
) 404
 
6.3%
( 404
 
6.3%
3 268
 
4.2%
4 229
 
3.5%
0 199
 
3.1%
7 180
 
2.8%
Other values (7) 616
 
9.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6561
50.4%
ASCII 6456
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2425
37.6%
1 875
 
13.6%
- 441
 
6.8%
2 414
 
6.4%
) 404
 
6.3%
( 404
 
6.3%
3 268
 
4.2%
4 229
 
3.5%
0 199
 
3.1%
7 180
 
2.8%
Other values (8) 617
 
9.6%
Hangul
ValueCountFrequency (%)
구 979
14.9%
대 500
 
7.6%
동 492
 
7.5%
광 490
 
7.5%
역 489
 
7.5%
시 489
 
7.5%
달 489
 
7.5%
서 489
 
7.5%
층 444
 
6.8%
지 346
 
5.3%
Other values (54) 1354
20.6%

전화번호
Text

MISSING 

Distinct420
Distinct (%)100.0%
Missing69
Missing (%)14.1%
Memory size3.9 KiB
2023-12-11T02:39:02.768665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.069048
Min length12

Characters and Unicode

Total characters5069
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

Unique420 ?
Unique (%)100.0%

Sample

1st row053-553-4450
2nd row053-523-7080
3rd row053-567-1837
4th row053-562-6364
5th row053-559-9852
ValueCountFrequency (%)
053-624-4113 1
 
0.2%
053-626-0025 1
 
0.2%
053-553-4488 1
 
0.2%
053-563-0224 1
 
0.2%
053-585-8974 1
 
0.2%
053-585-4697 1
 
0.2%
053-586-3400 1
 
0.2%
053-583-9566 1
 
0.2%
053-592-1155 1
 
0.2%
053-521-3769 1
 
0.2%
Other values (410) 410
97.6%
2023-12-11T02:39:03.778751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 906
17.9%
- 840
16.6%
3 729
14.4%
0 637
12.6%
6 422
8.3%
2 355
 
7.0%
8 320
 
6.3%
1 242
 
4.8%
7 230
 
4.5%
4 221
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4229
83.4%
Dash Punctuation 840
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 906
21.4%
3 729
17.2%
0 637
15.1%
6 422
10.0%
2 355
 
8.4%
8 320
 
7.6%
1 242
 
5.7%
7 230
 
5.4%
4 221
 
5.2%
9 167
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 906
17.9%
- 840
16.6%
3 729
14.4%
0 637
12.6%
6 422
8.3%
2 355
 
7.0%
8 320
 
6.3%
1 242
 
4.8%
7 230
 
4.5%
4 221
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 906
17.9%
- 840
16.6%
3 729
14.4%
0 637
12.6%
6 422
8.3%
2 355
 
7.0%
8 320
 
6.3%
1 242
 
4.8%
7 230
 
4.5%
4 221
 
4.4%

위도
Real number (ℝ)

Distinct407
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.840706
Minimum35.801931
Maximum35.862073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T02:39:04.264106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.801931
5-th percentile35.80871
Q135.824626
median35.849967
Q335.855376
95-th percentile35.858501
Maximum35.862073
Range0.06014208
Interquartile range (IQR)0.03074989

Descriptive statistics

Standard deviation0.017722106
Coefficient of variation (CV)0.00049446866
Kurtosis-1.0000981
Mean35.840706
Median Absolute Deviation (MAD)0.008103
Skewness-0.72734328
Sum17526.105
Variance0.00031407303
MonotonicityNot monotonic
2023-12-11T02:39:04.757212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81791126 4
 
0.8%
35.85709128 3
 
0.6%
35.85389318 2
 
0.4%
35.83931518 2
 
0.4%
35.854856 2
 
0.4%
35.856778 2
 
0.4%
35.83947944 2
 
0.4%
35.81417048 2
 
0.4%
35.83826915 2
 
0.4%
35.85478342 2
 
0.4%
Other values (397) 466
95.3%
ValueCountFrequency (%)
35.80193066 2
0.4%
35.80697431 1
0.2%
35.80702145 1
0.2%
35.80724642 1
0.2%
35.80726538 1
0.2%
35.807438 1
0.2%
35.80752454 2
0.4%
35.8075436 1
0.2%
35.80758561 1
0.2%
35.807648 1
0.2%
ValueCountFrequency (%)
35.86207274 1
0.2%
35.86194619 2
0.4%
35.86150444 1
0.2%
35.86142533 1
0.2%
35.86126875 1
0.2%
35.86122647 1
0.2%
35.86119 1
0.2%
35.86103864 1
0.2%
35.86095 1
0.2%
35.85949356 1
0.2%

경도
Real number (ℝ)

Distinct411
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52987
Minimum128.47757
Maximum128.57441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T02:39:05.974805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47757
5-th percentile128.49065
Q1128.50961
median128.53434
Q3128.54725
95-th percentile128.55978
Maximum128.57441
Range0.096843
Interquartile range (IQR)0.0376479

Descriptive statistics

Standard deviation0.022380935
Coefficient of variation (CV)0.00017413023
Kurtosis-0.76920381
Mean128.52987
Median Absolute Deviation (MAD)0.0142259
Skewness-0.37608511
Sum62851.105
Variance0.00050090626
MonotonicityNot monotonic
2023-12-11T02:39:06.386001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5402856 4
 
0.8%
128.5096061 3
 
0.6%
128.5480478 2
 
0.4%
128.5529826 2
 
0.4%
128.548283 2
 
0.4%
128.5309155 2
 
0.4%
128.5524272 2
 
0.4%
128.5382754 2
 
0.4%
128.5486366 2
 
0.4%
128.5526057 2
 
0.4%
Other values (401) 466
95.3%
ValueCountFrequency (%)
128.477567 1
0.2%
128.4850976 1
0.2%
128.4852968 1
0.2%
128.4855486 2
0.4%
128.4855675 1
0.2%
128.485573 1
0.2%
128.4855736 1
0.2%
128.4855771 1
0.2%
128.4855937 1
0.2%
128.4855972 1
0.2%
ValueCountFrequency (%)
128.57441 1
0.2%
128.5741128 2
0.4%
128.5740362 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%
128.57181 1
0.2%
128.5706422 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2022-05-03 00:00:00
Maximum2022-05-03 00:00:00
2023-12-11T02:39:06.678146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:39:06.924149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:38:56.852736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:38:56.357046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:38:57.052644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:38:56.644054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:39:07.102848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.741
경도0.7411.000
2023-12-11T02:39:07.310571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.231
경도-0.2311.000

Missing values

2023-12-11T02:38:57.313821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:38:57.595462image/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

상호명영업소도로명소재지영업소지번소재지전화번호위도경도데이터기준일자
0와우동전노래방대구광역시 달서구 달구벌대로 1664, 지하1층 (감삼동)대구광역시 달서구 감삼동 106-2<NA>35.853893128.5480482022-05-03
1세븐노래연습장대구광역시 달서구 당산로 193 (감삼동,(지하1층))대구광역시 달서구 감삼동 106-3 (지하1층)053-553-445035.855527128.5093152022-05-03
2풀노래연습장대구광역시 달서구 당산로 175 (감삼동,(지하1층))대구광역시 달서구 감삼동 107-10 (지하1층)053-523-708035.852323128.5484592022-05-03
3풍차노래방대구광역시 달서구 달구벌대로330길 17 (감삼동,(지상2층))대구광역시 달서구 감삼동 114-1 (지상2층)053-567-183735.852576128.5464112022-05-03
4케빈노래연습장대구광역시 달서구 달구벌대로330길 33 (감삼동,(지하1층))대구광역시 달서구 감삼동 114-6 (지하1층)053-562-636435.851908128.5466392022-05-03
5달무리노래연습장대구광역시 달서구 달구벌대로330길 47 (감삼동,(지하1층))대구광역시 달서구 감삼동 117-23 (지하1층)053-559-985235.857635128.5316872022-05-03
6정원노래방대구광역시 달서구 감삼북길 93, 지하1층 (감삼동)대구광역시 달서구 감삼동 135-6 (지하1층)053-557-662335.851822128.5436162022-05-03
7미소노래연습장대구광역시 달서구 감삼북길 149 (감삼동,(2층))대구광역시 달서구 감삼동 139-27 (2층)053-556-111635.856159128.4936382022-05-03
8왔다노래연습장대구광역시 달서구 감삼북길 149 (감삼동,(지하1층))대구광역시 달서구 감삼동 139-27 (지하1층)053-566-178035.8506128.5409512022-05-03
9알리앙노래연습장대구광역시 달서구 감삼길 20, 지하1층 (감삼동)대구광역시 달서구 감삼동 143-2 (지하1층)053-568-100935.841361128.4906312022-05-03
상호명영업소도로명소재지영업소지번소재지전화번호위도경도데이터기준일자
479풀노래연습장대구광역시 달서구 호산동로35길 7 (호산동,(지하1층))대구광역시 달서구 호산동 381-11 (지하1층)053-587-555435.850603128.4852972022-05-03
480필승노래연습장대구광역시 달서구 호산동로 173 (호산동,(지하1층))대구광역시 달서구 호산동 382 (지하1층)053-584-440935.850593128.4855742022-05-03
481빅노래연습장대구광역시 달서구 성서공단로11길 70-10, 1층 (호산동)대구광역시 달서구 호산동 712-5 (1층)053-588-889535.80993128.547282022-05-03
482천사가요주점대구광역시 달서구 성서공단로11길 70-14, 2층 (호산동)대구광역시 달서구 호산동 712-7 (2층)053-592-223535.841248128.4895792022-05-03
483위드 노래연습장대구광역시 달서구 성서공단로11길 70-13, 2층 (호산동)대구광역시 달서구 호산동 713-10 (2층)053-565-511035.8416128.4895812022-05-03
484스카이노래방대구광역시 달서구 성서공단로11길 70-15, 2층 (호산동)대구광역시 달서구 호산동 713-8 (2층)053-582-250535.858139128.5653942022-05-03
485별궁노래방대구광역시 달서구 성서공단로11길 78, 2층 (호산동)대구광역시 달서구 호산동 714-11 (2층)053-591-575835.811496128.5377632022-05-03
486에이치노래연습장대구광역시 달서구 성서공단로15길 68 (호산동)대구광역시 달서구 호산동 718-10 (지상2층)053-591-953035.853807128.4931222022-05-03
487포피스노래연습장대구광역시 달서구 성서공단로15길 70 (호산동)대구광역시 달서구 호산동 718-11 (2층)053-593-424235.841361128.4906312022-05-03
488호산주점대구광역시 달서구 성서공단로15길 72 (호산동)대구광역시 달서구 호산동 718-12 (지상2층)053-588-517135.841568128.4906332022-05-03