Overview

Dataset statistics

Number of variables12
Number of observations39
Missing cells5
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory106.4 B

Variable types

Numeric6
Categorical3
Text3

Dataset

Description대구 지역 관광숙박업 현황정보에 관한 공공데이터로 지역, 업종분류, 호텔명, 소재지, 객실수, 전화번호 등의 정보를 제공합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15054187/fileData.do

Alerts

객실수_기타 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
업종분류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
지역 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 지역 and 2 other fieldsHigh correlation
객실수_스탠더드 is highly overall correlated with 객실수_소계 and 1 other fieldsHigh correlation
객실수_디럭스 is highly overall correlated with 객실수_소계 and 1 other fieldsHigh correlation
객실수_스위트 is highly overall correlated with 객실수_소계 and 1 other fieldsHigh correlation
객실수_한실 is highly overall correlated with 객실수_기타High correlation
객실수_소계 is highly overall correlated with 객실수_스탠더드 and 4 other fieldsHigh correlation
객실수_기타 is highly imbalanced (74.3%)Imbalance
전화번호 has 5 (12.8%) missing valuesMissing
연번 has unique valuesUnique
호텔명 has unique valuesUnique
소재지 has unique valuesUnique
객실수_스탠더드 has 4 (10.3%) zerosZeros
객실수_디럭스 has 11 (28.2%) zerosZeros
객실수_스위트 has 14 (35.9%) zerosZeros
객실수_한실 has 22 (56.4%) zerosZeros

Reproduction

Analysis started2024-04-29 22:33:09.463009
Analysis finished2024-04-29 22:33:15.950573
Duration6.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:16.092655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-04-30T07:33:16.453349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

지역
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
동구
11 
중구
8 
수성구
5 
경제자유구역
4 
남구
3 
Other values (4)
8 

Length

Max length6
Median length2
Mean length2.7179487
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
동구 11
28.2%
중구 8
20.5%
수성구 5
12.8%
경제자유구역 4
 
10.3%
남구 3
 
7.7%
달서구 3
 
7.7%
달성군 3
 
7.7%
북구 1
 
2.6%
군위군 1
 
2.6%

Length

2024-04-30T07:33:16.592489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:33:16.727306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 11
28.2%
중구 8
20.5%
수성구 5
12.8%
경제자유구역 4
 
10.3%
남구 3
 
7.7%
달서구 3
 
7.7%
달성군 3
 
7.7%
북구 1
 
2.6%
군위군 1
 
2.6%

업종분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
관광호텔업
32 
호스텔업
7 

Length

Max length5
Median length5
Mean length4.8205128
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 32
82.1%
호스텔업 7
 
17.9%

Length

2024-04-30T07:33:16.948410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:33:17.067427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 32
82.1%
호스텔업 7
 
17.9%

호텔명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-30T07:33:17.281187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length8.025641
Min length3

Characters and Unicode

Total characters313
Distinct characters113
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row엘디스리젠트호텔
2nd row유니온관광호텔
3rd row토요코인 대구동성로
4th row노블스테이
5th row리버틴호텔
ValueCountFrequency (%)
호텔 4
 
6.8%
호스텔 3
 
5.1%
관광호텔 2
 
3.4%
엘디스리젠트호텔 1
 
1.7%
하우스오브갤러리 1
 
1.7%
주)인터불고 1
 
1.7%
엑스코 1
 
1.7%
호텔인터불고(㈜즐거운 1
 
1.7%
세상 1
 
1.7%
주)그랜드관광호텔 1
 
1.7%
Other values (43) 43
72.9%
2024-04-30T07:33:17.625980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 33
 
10.5%
텔 33
 
10.5%
20
 
6.4%
스 12
 
3.8%
리 8
 
2.6%
관 8
 
2.6%
광 7
 
2.2%
아 6
 
1.9%
( 5
 
1.6%
구 5
 
1.6%
Other values (103) 176
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
82.1%
Space Separator 20
 
6.4%
Lowercase Letter 17
 
5.4%
Open Punctuation 5
 
1.6%
Close Punctuation 5
 
1.6%
Uppercase Letter 5
 
1.6%
Other Symbol 3
 
1.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 33
 
12.8%
텔 33
 
12.8%
스 12
 
4.7%
리 8
 
3.1%
관 8
 
3.1%
광 7
 
2.7%
아 6
 
2.3%
구 5
 
1.9%
대 5
 
1.9%
이 5
 
1.9%
Other values (83) 135
52.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
h 2
11.8%
o 2
11.8%
l 2
11.8%
s 2
11.8%
u 1
 
5.9%
y 1
 
5.9%
r 1
 
5.9%
a 1
 
5.9%
g 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
A 1
20.0%
C 1
20.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
83.1%
Common 31
 
9.9%
Latin 22
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 33
 
12.7%
텔 33
 
12.7%
스 12
 
4.6%
리 8
 
3.1%
관 8
 
3.1%
광 7
 
2.7%
아 6
 
2.3%
구 5
 
1.9%
대 5
 
1.9%
이 5
 
1.9%
Other values (84) 138
53.1%
Latin
ValueCountFrequency (%)
e 3
13.6%
h 2
 
9.1%
T 2
 
9.1%
o 2
 
9.1%
l 2
 
9.1%
s 2
 
9.1%
u 1
 
4.5%
A 1
 
4.5%
C 1
 
4.5%
G 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
20
64.5%
( 5
 
16.1%
) 5
 
16.1%
' 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
82.1%
ASCII 53
 
16.9%
None 3
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 33
 
12.8%
텔 33
 
12.8%
스 12
 
4.7%
리 8
 
3.1%
관 8
 
3.1%
광 7
 
2.7%
아 6
 
2.3%
구 5
 
1.9%
대 5
 
1.9%
이 5
 
1.9%
Other values (83) 135
52.5%
ASCII
ValueCountFrequency (%)
20
37.7%
( 5
 
9.4%
) 5
 
9.4%
e 3
 
5.7%
h 2
 
3.8%
T 2
 
3.8%
o 2
 
3.8%
l 2
 
3.8%
s 2
 
3.8%
u 1
 
1.9%
Other values (9) 9
17.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%

객실수_스탠더드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.307692
Minimum0
Maximum231
Zeros4
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:17.823920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median26
Q344.5
95-th percentile143.8
Maximum231
Range231
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation49.442765
Coefficient of variation (CV)1.2266335
Kurtosis7.2256096
Mean40.307692
Median Absolute Deviation (MAD)16
Skewness2.5882049
Sum1572
Variance2444.587
MonotonicityNot monotonic
2024-04-30T07:33:17.968455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 4
 
10.3%
20 3
 
7.7%
4 2
 
5.1%
38 2
 
5.1%
19 2
 
5.1%
50 1
 
2.6%
29 1
 
2.6%
26 1
 
2.6%
74 1
 
2.6%
5 1
 
2.6%
Other values (21) 21
53.8%
ValueCountFrequency (%)
0 4
10.3%
4 2
5.1%
5 1
 
2.6%
6 1
 
2.6%
11 1
 
2.6%
12 1
 
2.6%
16 1
 
2.6%
17 1
 
2.6%
19 2
5.1%
20 3
7.7%
ValueCountFrequency (%)
231 1
2.6%
196 1
2.6%
138 1
2.6%
95 1
2.6%
74 1
2.6%
60 1
2.6%
55 1
2.6%
54 1
2.6%
50 1
2.6%
45 1
2.6%

객실수_디럭스
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.74359
Minimum0
Maximum195
Zeros11
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:18.076517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q325
95-th percentile64.1
Maximum195
Range195
Interquartile range (IQR)25

Descriptive statistics

Standard deviation39.239962
Coefficient of variation (CV)1.8046681
Kurtosis12.627106
Mean21.74359
Median Absolute Deviation (MAD)10
Skewness3.4340344
Sum848
Variance1539.7746
MonotonicityNot monotonic
2024-04-30T07:33:18.208727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 11
28.2%
6 4
 
10.3%
14 2
 
5.1%
12 2
 
5.1%
25 2
 
5.1%
54 1
 
2.6%
195 1
 
2.6%
28 1
 
2.6%
3 1
 
2.6%
11 1
 
2.6%
Other values (13) 13
33.3%
ValueCountFrequency (%)
0 11
28.2%
2 1
 
2.6%
3 1
 
2.6%
4 1
 
2.6%
6 4
 
10.3%
8 1
 
2.6%
10 1
 
2.6%
11 1
 
2.6%
12 2
 
5.1%
14 2
 
5.1%
ValueCountFrequency (%)
195 1
2.6%
155 1
2.6%
54 1
2.6%
51 1
2.6%
39 1
2.6%
37 1
2.6%
34 1
2.6%
30 1
2.6%
28 1
2.6%
25 2
5.1%

객실수_스위트
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0769231
Minimum0
Maximum116
Zeros14
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:18.326894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39.5
95-th percentile35.1
Maximum116
Range116
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation19.628637
Coefficient of variation (CV)2.162477
Kurtosis24.117727
Mean9.0769231
Median Absolute Deviation (MAD)3
Skewness4.5837506
Sum354
Variance385.2834
MonotonicityNot monotonic
2024-04-30T07:33:18.429088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
35.9%
6 3
 
7.7%
3 3
 
7.7%
10 3
 
7.7%
2 2
 
5.1%
4 2
 
5.1%
7 2
 
5.1%
35 1
 
2.6%
9 1
 
2.6%
1 1
 
2.6%
Other values (7) 7
17.9%
ValueCountFrequency (%)
0 14
35.9%
1 1
 
2.6%
2 2
 
5.1%
3 3
 
7.7%
4 2
 
5.1%
6 3
 
7.7%
7 2
 
5.1%
8 1
 
2.6%
9 1
 
2.6%
10 3
 
7.7%
ValueCountFrequency (%)
116 1
 
2.6%
36 1
 
2.6%
35 1
 
2.6%
21 1
 
2.6%
20 1
 
2.6%
14 1
 
2.6%
11 1
 
2.6%
10 3
7.7%
9 1
 
2.6%
8 1
 
2.6%

객실수_한실
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6923077
Minimum0
Maximum24
Zeros22
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:18.535292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.5
95-th percentile14.7
Maximum24
Range24
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.1693378
Coefficient of variation (CV)1.6708623
Kurtosis3.0065952
Mean3.6923077
Median Absolute Deviation (MAD)0
Skewness1.8688537
Sum144
Variance38.060729
MonotonicityNot monotonic
2024-04-30T07:33:18.693070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 22
56.4%
1 3
 
7.7%
6 2
 
5.1%
11 2
 
5.1%
2 1
 
2.6%
9 1
 
2.6%
24 1
 
2.6%
13 1
 
2.6%
5 1
 
2.6%
12 1
 
2.6%
Other values (4) 4
 
10.3%
ValueCountFrequency (%)
0 22
56.4%
1 3
 
7.7%
2 1
 
2.6%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
6 2
 
5.1%
9 1
 
2.6%
11 2
 
5.1%
12 1
 
2.6%
ValueCountFrequency (%)
24 1
2.6%
21 1
2.6%
14 1
2.6%
13 1
2.6%
12 1
2.6%
11 2
5.1%
9 1
2.6%
6 2
5.1%
5 1
2.6%
4 1
2.6%

객실수_기타
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
24
 
1
15
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.8205128
Min length1

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
92.3%
24 1
 
2.6%
15 1
 
2.6%
4 1
 
2.6%

Length

2024-04-30T07:33:18.833230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:33:18.946638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
24 1
 
2.6%
15 1
 
2.6%
4 1
 
2.6%

객실수_소계
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.923077
Minimum4
Maximum325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-30T07:33:19.075382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile10.3
Q141
median52
Q371
95-th percentile222
Maximum325
Range321
Interquartile range (IQR)30

Descriptive statistics

Standard deviation73.443277
Coefficient of variation (CV)0.967338
Kurtosis4.4882621
Mean75.923077
Median Absolute Deviation (MAD)18
Skewness2.1490256
Sum2961
Variance5393.915
MonotonicityNot monotonic
2024-04-30T07:33:19.212710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
54 3
 
7.7%
20 2
 
5.1%
4 2
 
5.1%
44 2
 
5.1%
70 2
 
5.1%
51 2
 
5.1%
80 1
 
2.6%
60 1
 
2.6%
30 1
 
2.6%
49 1
 
2.6%
Other values (22) 22
56.4%
ValueCountFrequency (%)
4 2
5.1%
11 1
2.6%
16 1
2.6%
20 2
5.1%
30 1
2.6%
33 1
2.6%
36 1
2.6%
38 1
2.6%
44 2
5.1%
45 1
2.6%
ValueCountFrequency (%)
325 1
2.6%
303 1
2.6%
213 1
2.6%
190 1
2.6%
181 1
2.6%
150 1
2.6%
110 1
2.6%
94 1
2.6%
80 1
2.6%
72 1
2.6%

소재지
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-30T07:33:19.506279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.153846
Min length20

Characters and Unicode

Total characters903
Distinct characters99
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 달구벌대로 2033(동산동)
2nd row대구광역시 중구 태평로 117(태평로2가)
3rd row대구광역시 중구 동성로1길 15 (동성로3가)
4th row대구광역시 중구 국채보상로 123길 23 (동문동)
5th row대구광역시 중구 경상감영길 193 (동문동)
ValueCountFrequency (%)
대구광역시 39
22.8%
동구 11
 
6.4%
중구 8
 
4.7%
수성구 7
 
4.1%
달성군 5
 
2.9%
남구 3
 
1.8%
달서구 3
 
1.8%
율암로 3
 
1.8%
팔공산로 2
 
1.2%
구지면 2
 
1.2%
Other values (81) 88
51.5%
2024-04-30T07:33:19.914097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
14.7%
구 78
 
8.6%
동 54
 
6.0%
대 48
 
5.3%
시 41
 
4.5%
광 39
 
4.3%
역 39
 
4.3%
로 38
 
4.2%
1 36
 
4.0%
( 31
 
3.4%
Other values (89) 366
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
62.7%
Decimal Number 136
 
15.1%
Space Separator 133
 
14.7%
Open Punctuation 31
 
3.4%
Close Punctuation 31
 
3.4%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 78
13.8%
동 54
 
9.5%
대 48
 
8.5%
시 41
 
7.2%
광 39
 
6.9%
역 39
 
6.9%
로 38
 
6.7%
성 19
 
3.4%
길 14
 
2.5%
달 12
 
2.1%
Other values (75) 184
32.5%
Decimal Number
ValueCountFrequency (%)
1 36
26.5%
2 26
19.1%
3 13
 
9.6%
4 12
 
8.8%
5 11
 
8.1%
7 10
 
7.4%
6 10
 
7.4%
0 9
 
6.6%
8 5
 
3.7%
9 4
 
2.9%
Space Separator
ValueCountFrequency (%)
133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
62.7%
Common 337
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 78
13.8%
동 54
 
9.5%
대 48
 
8.5%
시 41
 
7.2%
광 39
 
6.9%
역 39
 
6.9%
로 38
 
6.7%
성 19
 
3.4%
길 14
 
2.5%
달 12
 
2.1%
Other values (75) 184
32.5%
Common
ValueCountFrequency (%)
133
39.5%
1 36
 
10.7%
( 31
 
9.2%
) 31
 
9.2%
2 26
 
7.7%
3 13
 
3.9%
4 12
 
3.6%
5 11
 
3.3%
7 10
 
3.0%
6 10
 
3.0%
Other values (4) 24
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
62.7%
ASCII 337
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
39.5%
1 36
 
10.7%
( 31
 
9.2%
) 31
 
9.2%
2 26
 
7.7%
3 13
 
3.9%
4 12
 
3.6%
5 11
 
3.3%
7 10
 
3.0%
6 10
 
3.0%
Other values (4) 24
 
7.1%
Hangul
ValueCountFrequency (%)
구 78
13.8%
동 54
 
9.5%
대 48
 
8.5%
시 41
 
7.2%
광 39
 
6.9%
역 39
 
6.9%
로 38
 
6.7%
성 19
 
3.4%
길 14
 
2.5%
달 12
 
2.1%
Other values (75) 184
32.5%

전화번호
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing5
Missing (%)12.8%
Memory size444.0 B
2024-04-30T07:33:20.133726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique34 ?
Unique (%)100.0%

Sample

1st row053-253-7711
2nd row053-252-2221
3rd row053-428-1045
4th row053-421-5007
5th row053-269-4000
ValueCountFrequency (%)
053-623-1000 1
 
2.9%
053-589-6700 1
 
2.9%
053-718-7000 1
 
2.9%
053-218-6655 1
 
2.9%
053-380-0114 1
 
2.9%
053-602-7114 1
 
2.9%
053-742-0001 1
 
2.9%
053-770-5412 1
 
2.9%
054-382-1400 1
 
2.9%
053-964-2000 1
 
2.9%
Other values (24) 24
70.6%
2024-04-30T07:33:20.460200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
20.3%
- 68
16.6%
5 61
14.9%
3 47
11.5%
2 30
 
7.3%
1 29
 
7.1%
7 29
 
7.1%
9 18
 
4.4%
6 15
 
3.7%
4 15
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
24.3%
5 61
17.9%
3 47
13.8%
2 30
 
8.8%
1 29
 
8.5%
7 29
 
8.5%
9 18
 
5.3%
6 15
 
4.4%
4 15
 
4.4%
8 14
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
20.3%
- 68
16.6%
5 61
14.9%
3 47
11.5%
2 30
 
7.3%
1 29
 
7.1%
7 29
 
7.1%
9 18
 
4.4%
6 15
 
3.7%
4 15
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
20.3%
- 68
16.6%
5 61
14.9%
3 47
11.5%
2 30
 
7.3%
1 29
 
7.1%
7 29
 
7.1%
9 18
 
4.4%
6 15
 
3.7%
4 15
 
3.7%

Interactions

2024-04-30T07:33:14.638174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.471119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.062344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.658590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.418581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.049793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.746583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.617364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.147794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.767022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.515265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.155672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.905007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.690712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.212553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.862848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.595709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.277710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:15.130098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.787109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.301136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.978765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.723618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.367125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:15.273698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.873008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.406371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.120930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.830088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.463167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:15.417560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:11.967105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:12.540686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.296124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:13.936021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:33:14.547320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:33:20.584927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역업종분류호텔명객실수_스탠더드객실수_디럭스객실수_스위트객실수_한실객실수_기타객실수_소계소재지전화번호
연번1.0000.9340.6611.0000.1980.3670.5000.0001.0000.2431.0001.000
지역0.9341.0000.2831.0000.5880.0000.4630.662NaN0.0001.0001.000
업종분류0.6610.2831.0001.0000.0000.0710.0000.000NaN0.7911.0001.000
호텔명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
객실수_스탠더드0.1980.5880.0001.0001.0000.5750.8270.5301.0000.9461.0001.000
객실수_디럭스0.3670.0000.0711.0000.5751.0000.4320.0001.0000.7001.0001.000
객실수_스위트0.5000.4630.0001.0000.8270.4321.0000.2831.0000.9221.0001.000
객실수_한실0.0000.6620.0001.0000.5300.0000.2831.000NaN0.6481.0001.000
객실수_기타1.000NaNNaN1.0001.0001.0001.000NaN1.0001.0001.0001.000
객실수_소계0.2430.0000.7911.0000.9460.7000.9220.6481.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-04-30T07:33:20.732450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수_기타업종분류지역
객실수_기타1.0001.0001.000
업종분류1.0001.0000.244
지역1.0000.2441.000
2024-04-30T07:33:20.822432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수_스탠더드객실수_디럭스객실수_스위트객실수_한실객실수_소계지역업종분류객실수_기타
연번1.0000.211-0.179-0.0010.2170.0470.7440.5121.000
객실수_스탠더드0.2111.0000.0070.148-0.0080.5800.3230.0001.000
객실수_디럭스-0.1790.0071.0000.4520.1320.6560.0000.0651.000
객실수_스위트-0.0010.1480.4521.0000.2280.5900.2810.0001.000
객실수_한실0.217-0.0080.1320.2281.0000.1630.3620.0001.000
객실수_소계0.0470.5800.6560.5900.1631.0000.0000.5581.000
지역0.7440.3230.0000.2810.3620.0001.0000.2441.000
업종분류0.5120.0000.0650.0000.0000.5580.2441.0001.000
객실수_기타1.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-04-30T07:33:15.612735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:33:15.842127image/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

연번지역업종분류호텔명객실수_스탠더드객실수_디럭스객실수_스위트객실수_한실객실수_기타객실수_소계소재지전화번호
01중구관광호텔업엘디스리젠트호텔445466<NA>110대구광역시 중구 달구벌대로 2033(동산동)053-253-7711
12중구관광호텔업유니온관광호텔3025100<NA>65대구광역시 중구 태평로 117(태평로2가)053-252-2221
23중구관광호텔업토요코인 대구동성로1961430<NA>213대구광역시 중구 동성로1길 15 (동성로3가)053-428-1045
34중구관광호텔업노블스테이05100<NA>51대구광역시 중구 국채보상로 123길 23 (동문동)053-421-5007
45중구관광호텔업리버틴호텔1717142<NA>50대구광역시 중구 경상감영길 193 (동문동)053-269-4000
56중구호스텔업대구동성로호스텔11000<NA>11대구광역시 중구 동성로 12길 9(동문동)070-7708-3145
67중구호스텔업대구미드타운 호스텔20000<NA>20대구광역시 중구 중앙대로77길 47(장관동)053-719-3450
78중구호스텔업경's 호스텔16000<NA>16대구광역시 중구 북성로4길 61 (인교동)<NA>
89동구관광호텔업퀸벨호텔55601<NA>62대구광역시 동구 동촌로 200(방촌동)053-282-1000
910동구관광호텔업브라운도트호텔 대구혁신도시점203020<NA>52대구광역시 동구 율암로 164(상매동)053-213-8080
연번지역업종분류호텔명객실수_스탠더드객실수_디럭스객실수_스위트객실수_한실객실수_기타객실수_소계소재지전화번호
2930달서구관광호텔업크리스탈관광호텔1937014<NA>70대구광역시 달서구 달구벌대로 1910(두류동)053-655-7799
3031달서구관광호텔업호텔 엘리시아501100<NA>61대구광역시 달서구 갈밭남로 45(대곡동)053-625-9100
3132달성군관광호텔업㈜파라다이스 온천호텔220011<NA>33대구광역시 달성군 논공읍 약산덧재길 81053-555-7221
3233달성군관광호텔업호텔G41300<NA>44대구광역시 달성군 구지면 달성2차동1로 145053-263-5511
3334달성군관광호텔업칸 호텔38600<NA>44대구광역시 달성군 구지면 달성2차동1로 141053-263-0777
3435군위군관광호텔업백송온천관광호텔00921<NA>30대구광역시 군위군 부계면 한티로 2244054-382-1400
3536경제자유구역호스텔업노블 호스텔54000<NA>54대구광역시 달성군 현풍읍 테크노공원로 13<NA>
3637경제자유구역관광호텔업ACT 관광호텔3928103<NA>80대구광역시 수성구 알파시티1로32길 28-17<NA>
3738경제자유구역관광호텔업브라운도트호텔현풍점451221<NA>60대구광역시 달성군 현풍읍 테크노공원로 35<NA>
3839경제자유구역관광호텔업더아르코호텔42070<NA>49대구광역시 수성구 알파시티1로40길 6053-791-9000