Overview

Dataset statistics

Number of variables3
Number of observations100
Missing cells3
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory26.3 B

Variable types

Numeric1
Text2

Alerts

lsr_tel_no has 3 (3.0%) missing valuesMissing
lsr_cd has unique valuesUnique
lsr_nm has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:16:54.607829
Analysis finished2023-12-10 10:16:55.230127
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

lsr_cd
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18210.86
Minimum19
Maximum79406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:16:55.330555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile140.95
Q111623.75
median20327.5
Q323212
95-th percentile24464.65
Maximum79406
Range79387
Interquartile range (IQR)11588.25

Descriptive statistics

Standard deviation13710.197
Coefficient of variation (CV)0.75285831
Kurtosis10.234255
Mean18210.86
Median Absolute Deviation (MAD)3859.5
Skewness2.3604475
Sum1821086
Variance1.8796951 × 108
MonotonicityNot monotonic
2023-12-10T19:16:55.533650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 1
 
1.0%
20628 1
 
1.0%
23130 1
 
1.0%
23121 1
 
1.0%
23120 1
 
1.0%
23038 1
 
1.0%
23035 1
 
1.0%
22000 1
 
1.0%
21968 1
 
1.0%
21019 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19 1
1.0%
31 1
1.0%
108 1
1.0%
124 1
1.0%
140 1
1.0%
141 1
1.0%
197 1
1.0%
268 1
1.0%
744 1
1.0%
796 1
1.0%
ValueCountFrequency (%)
79406 1
1.0%
79405 1
1.0%
79404 1
1.0%
24478 1
1.0%
24477 1
1.0%
24464 1
1.0%
24415 1
1.0%
24403 1
1.0%
24402 1
1.0%
24399 1
1.0%

lsr_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:16:55.866332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length19.87
Min length6

Characters and Unicode

Total characters1987
Distinct characters293
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

Unique100 ?
Unique (%)100.0%

Sample

1st row[전북 전주]말순이 : 한옥마을 한복대여권
2nd row[강원 태백] 오투리조트 눈썰매장 이용권
3rd row[전북 전주] 플라이코리아 패러글라이딩
4th row[경기 여주] 쎈토이 뮤지엄 입장권(키덜트)
5th row[서울 종로] 리브레 : 수제비누 & 향초 만들기 체험
ValueCountFrequency (%)
31
 
6.8%
서울 27
 
6.0%
전북 22
 
4.9%
경기 11
 
2.4%
패러글라이딩 9
 
2.0%
한복대여 9
 
2.0%
전주 9
 
2.0%
강원 7
 
1.5%
경북 6
 
1.3%
아쿠아플라넷 5
 
1.1%
Other values (245) 317
70.0%
2023-12-10T19:16:56.335829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
 
17.9%
[ 93
 
4.7%
] 93
 
4.7%
전 46
 
2.3%
이 42
 
2.1%
북 32
 
1.6%
서 31
 
1.6%
한 29
 
1.5%
울 29
 
1.5%
패 28
 
1.4%
Other values (283) 1209
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1364
68.6%
Space Separator 355
 
17.9%
Open Punctuation 95
 
4.8%
Close Punctuation 95
 
4.8%
Other Punctuation 32
 
1.6%
Uppercase Letter 19
 
1.0%
Decimal Number 14
 
0.7%
Math Symbol 13
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 46
 
3.4%
이 42
 
3.1%
북 32
 
2.3%
서 31
 
2.3%
한 29
 
2.1%
울 29
 
2.1%
패 28
 
2.1%
주 26
 
1.9%
아 26
 
1.9%
여 26
 
1.9%
Other values (254) 1049
76.9%
Uppercase Letter
ValueCountFrequency (%)
T 3
15.8%
V 3
15.8%
A 2
10.5%
R 2
10.5%
B 2
10.5%
I 1
 
5.3%
U 1
 
5.3%
E 1
 
5.3%
S 1
 
5.3%
M 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
3 3
21.4%
2 3
21.4%
5 1
 
7.1%
4 1
 
7.1%
9 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
: 15
46.9%
/ 8
25.0%
& 7
21.9%
, 2
 
6.2%
Open Punctuation
ValueCountFrequency (%)
[ 93
97.9%
( 2
 
2.1%
Close Punctuation
ValueCountFrequency (%)
] 93
97.9%
) 2
 
2.1%
Math Symbol
ValueCountFrequency (%)
+ 12
92.3%
~ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1364
68.6%
Common 604
30.4%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 46
 
3.4%
이 42
 
3.1%
북 32
 
2.3%
서 31
 
2.3%
한 29
 
2.1%
울 29
 
2.1%
패 28
 
2.1%
주 26
 
1.9%
아 26
 
1.9%
여 26
 
1.9%
Other values (254) 1049
76.9%
Common
ValueCountFrequency (%)
355
58.8%
[ 93
 
15.4%
] 93
 
15.4%
: 15
 
2.5%
+ 12
 
2.0%
/ 8
 
1.3%
& 7
 
1.2%
1 5
 
0.8%
3 3
 
0.5%
2 3
 
0.5%
Other values (7) 10
 
1.7%
Latin
ValueCountFrequency (%)
T 3
15.8%
V 3
15.8%
A 2
10.5%
R 2
10.5%
B 2
10.5%
I 1
 
5.3%
U 1
 
5.3%
E 1
 
5.3%
S 1
 
5.3%
M 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1364
68.6%
ASCII 623
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
57.0%
[ 93
 
14.9%
] 93
 
14.9%
: 15
 
2.4%
+ 12
 
1.9%
/ 8
 
1.3%
& 7
 
1.1%
1 5
 
0.8%
T 3
 
0.5%
V 3
 
0.5%
Other values (19) 29
 
4.7%
Hangul
ValueCountFrequency (%)
전 46
 
3.4%
이 42
 
3.1%
북 32
 
2.3%
서 31
 
2.3%
한 29
 
2.1%
울 29
 
2.1%
패 28
 
2.1%
주 26
 
1.9%
아 26
 
1.9%
여 26
 
1.9%
Other values (254) 1049
76.9%

lsr_tel_no
Text

MISSING 

Distinct78
Distinct (%)80.4%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T19:16:56.610452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.742268
Min length9

Characters and Unicode

Total characters1139
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)75.3%

Sample

1st row010-6424-1739
2nd row02-413-0045
3rd row063-225-262
4th row031-885-3750
5th row02-733-6984
ValueCountFrequency (%)
1599-8732 11
 
11.3%
064-723-1551 6
 
6.2%
010-6485-8507 3
 
3.1%
010-6424-1739 2
 
2.1%
033-461-5216 2
 
2.1%
031-484-5050 1
 
1.0%
010-6337-9091 1
 
1.0%
032-719-7778 1
 
1.0%
051-242-2232 1
 
1.0%
070-8899-4251 1
 
1.0%
Other values (68) 68
70.1%
2023-12-10T19:16:57.050956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 180
15.8%
0 172
15.1%
1 120
10.5%
3 115
10.1%
2 95
8.3%
5 92
8.1%
6 85
7.5%
7 80
7.0%
4 73
6.4%
9 63
 
5.5%
Other values (2) 64
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
84.0%
Dash Punctuation 180
 
15.8%
Math Symbol 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
18.0%
1 120
12.5%
3 115
12.0%
2 95
9.9%
5 92
9.6%
6 85
8.9%
7 80
8.4%
4 73
7.6%
9 63
 
6.6%
8 62
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Math Symbol
ValueCountFrequency (%)
< 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 180
15.8%
0 172
15.1%
1 120
10.5%
3 115
10.1%
2 95
8.3%
5 92
8.1%
6 85
7.5%
7 80
7.0%
4 73
6.4%
9 63
 
5.5%
Other values (2) 64
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 180
15.8%
0 172
15.1%
1 120
10.5%
3 115
10.1%
2 95
8.3%
5 92
8.1%
6 85
7.5%
7 80
7.0%
4 73
6.4%
9 63
 
5.5%
Other values (2) 64
 
5.6%

Interactions

2023-12-10T19:16:54.890366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:16:57.492833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
lsr_cdlsr_nmlsr_tel_no
lsr_cd1.0001.0000.960
lsr_nm1.0001.0001.000
lsr_tel_no0.9601.0001.000

Missing values

2023-12-10T19:16:55.067225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:16:55.176928image/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

lsr_cdlsr_nmlsr_tel_no
019[전북 전주]말순이 : 한옥마을 한복대여권010-6424-1739
179404[강원 태백] 오투리조트 눈썰매장 이용권02-413-0045
231[전북 전주] 플라이코리아 패러글라이딩063-225-262
3108[경기 여주] 쎈토이 뮤지엄 입장권(키덜트)031-885-3750
4124[서울 종로] 리브레 : 수제비누 & 향초 만들기 체험02-733-6984
5140[경기 시흥] 창조자연사 박물관 입장권031-435-1009
6141[충북 단양] 클레이사격043-421-8066
779405[서울/부산] 키자니아 어린이 체험테마파크 12월1544-5110
8197[서울 강남] 클라임이모션02-552-2532
9268[충남 당진] 삽교호 카트월드 이용권041-363-6647
lsr_cdlsr_nmlsr_tel_no
9024255러브낚시카페02-6052-2181
9124389[서울 여의도] VR스크린사냥&사격장 슈팅버니02-780-8831
9224392[전북 전주] 에어피닉스 패러글라이딩010-3653-9996
9324399[서울 왕십리] 그레이트피그미풀 키즈카페02-2200-1351
9424402홍대 한복남 한복대여010-6485-8507
9524403[전남 여수] 한우드림 동물테마농장010-6255-3632
9624415[서울 인사동] 놀이똥산 패키지1544-8506
9724464[경기 파주] 헤이리 팝트릭아트 93뮤지엄031-948-6677
9824477[전북 무주] 무주투어패스1599-8732
9924478[전북 장수] 장수투어패스1599-8732