Overview

Dataset statistics

Number of variables18
Number of observations100
Missing cells155
Missing cells (%)8.6%
Duplicate rows3
Duplicate rows (%)3.0%
Total size in memory14.4 KiB
Average record size in memory147.3 B

Variable types

Numeric2
Categorical12
Text4

Alerts

cnslt_lclas_nm has constant value ""Constant
cnslt_mlsfc_nm has constant value ""Constant
cnslt_ty_nm has constant value ""Constant
tour_purps_nm has constant value ""Constant
cours_nm has constant value ""Constant
cstmr_incln_nm has constant value ""Constant
chnnel_flag_nm has constant value ""Constant
state_nm has constant value ""Constant
Dataset has 3 (3.0%) duplicate rowsDuplicates
rcept_de is highly overall correlated with updt_deHigh correlation
updt_de is highly overall correlated with rcept_deHigh correlation
cnslt_sclas_nm is highly overall correlated with cnslt_kwrd_rn1_nmHigh correlation
cnslt_kwrd_rn1_nm is highly overall correlated with cnslt_sclas_nm and 1 other fieldsHigh correlation
talk_flag_nm is highly overall correlated with cnslt_kwrd_rn1_nmHigh correlation
lang_flag_nm is highly imbalanced (91.9%)Imbalance
cnslt_kwrd_rn2_nm has 13 (13.0%) missing valuesMissing
cnslt_kwrd_rn3_nm has 28 (28.0%) missing valuesMissing
cnslt_kwrd_rn4_nm has 54 (54.0%) missing valuesMissing
cnslt_kwrd_rn5_nm has 60 (60.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 10:03:40.414170
Analysis finished2023-12-10 10:03:43.614776
Duration3.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

rcept_de
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210932
Minimum20210503
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:43.719532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210503
5-th percentile20210503
Q120210522
median20211104
Q320211112
95-th percentile20211126
Maximum20211130
Range627
Interquartile range (IQR)590.25

Descriptive statistics

Standard deviation275.05245
Coefficient of variation (CV)1.3609093 × 10-5
Kurtosis-1.2376071
Mean20210932
Median Absolute Deviation (MAD)13.5
Skewness-0.88443111
Sum2.0210932 × 109
Variance75653.85
MonotonicityNot monotonic
2023-12-10T19:03:44.099075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20211103 10
 
10.0%
20211105 10
 
10.0%
20211104 9
 
9.0%
20211106 7
 
7.0%
20210503 6
 
6.0%
20210521 5
 
5.0%
20211125 5
 
5.0%
20210511 4
 
4.0%
20210524 3
 
3.0%
20211119 3
 
3.0%
Other values (23) 38
38.0%
ValueCountFrequency (%)
20210503 6
6.0%
20210506 3
3.0%
20210510 1
 
1.0%
20210511 4
4.0%
20210516 1
 
1.0%
20210517 1
 
1.0%
20210519 1
 
1.0%
20210520 3
3.0%
20210521 5
5.0%
20210522 1
 
1.0%
ValueCountFrequency (%)
20211130 1
 
1.0%
20211129 3
3.0%
20211128 1
 
1.0%
20211126 2
 
2.0%
20211125 5
5.0%
20211124 3
3.0%
20211122 2
 
2.0%
20211119 3
3.0%
20211116 2
 
2.0%
20211115 2
 
2.0%

lang_flag_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
한국어
99 
영어
 
1

Length

Max length3
Median length3
Mean length2.99
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국어 99
99.0%
영어 1
 
1.0%

Length

2023-12-10T19:03:44.315147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:44.503180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국어 99
99.0%
영어 1
 
1.0%

cnslt_lclas_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
숙박
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박 100
100.0%

Length

2023-12-10T19:03:44.694288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:44.855475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박 100
100.0%

cnslt_mlsfc_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
숙박
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박 100
100.0%

Length

2023-12-10T19:03:45.009585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:45.174093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박 100
100.0%

cnslt_sclas_nm
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
펜션/민박
30 
게스트하우스
27 
호텔
19 
기타
11 
리조트
11 

Length

Max length6
Median length5
Mean length4.15
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row호텔
2nd row게스트하우스
3rd row펜션/민박
4th row게스트하우스
5th row게스트하우스

Common Values

ValueCountFrequency (%)
펜션/민박 30
30.0%
게스트하우스 27
27.0%
호텔 19
19.0%
기타 11
 
11.0%
리조트 11
 
11.0%
모텔/여관 2
 
2.0%

Length

2023-12-10T19:03:45.421055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:45.660998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
펜션/민박 30
30.0%
게스트하우스 27
27.0%
호텔 19
19.0%
기타 11
 
11.0%
리조트 11
 
11.0%
모텔/여관 2
 
2.0%

cnslt_kwrd_rn1_nm
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
숙박
19 
외국어
13 
호텔
12 
게스트하우스
7 
연락처
7 
Other values (27)
42 

Length

Max length6
Median length2
Mean length2.78
Min length2

Unique

Unique22 ?
Unique (%)22.0%

Sample

1st row호텔
2nd row외국인
3rd row동반
4th row게스트하우스
5th row게스트하우스

Common Values

ValueCountFrequency (%)
숙박 19
19.0%
외국어 13
13.0%
호텔 12
12.0%
게스트하우스 7
 
7.0%
연락처 7
 
7.0%
인원 5
 
5.0%
리조트 5
 
5.0%
유선 4
 
4.0%
외국인 4
 
4.0%
민박 2
 
2.0%
Other values (22) 22
22.0%

Length

2023-12-10T19:03:45.909504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
숙박 19
19.0%
외국어 13
13.0%
호텔 12
12.0%
게스트하우스 7
 
7.0%
연락처 7
 
7.0%
인원 5
 
5.0%
리조트 5
 
5.0%
유선 4
 
4.0%
외국인 4
 
4.0%
민박 2
 
2.0%
Other values (22) 22
22.0%

cnslt_kwrd_rn2_nm
Text

MISSING 

Distinct46
Distinct (%)52.9%
Missing13
Missing (%)13.0%
Memory size932.0 B
2023-12-10T19:03:46.516672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.7241379
Min length2

Characters and Unicode

Total characters237
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)34.5%

Sample

1st row게스트하우스
2nd row우도
3rd row그린
4th row이용요금
5th row숙박
ValueCountFrequency (%)
문자 7
 
8.0%
게스트하우스 7
 
8.0%
제주 6
 
6.9%
민박 5
 
5.7%
호텔 5
 
5.7%
이용요금 4
 
4.6%
숙소 3
 
3.4%
숙박 3
 
3.4%
유선 3
 
3.4%
이용 2
 
2.3%
Other values (36) 42
48.3%
2023-12-10T19:03:47.357754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 15
 
6.3%
트 10
 
4.2%
문 8
 
3.4%
우 8
 
3.4%
자 8
 
3.4%
박 8
 
3.4%
게 7
 
3.0%
하 7
 
3.0%
제 7
 
3.0%
주 7
 
3.0%
Other values (76) 152
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
6.3%
트 10
 
4.2%
문 8
 
3.4%
우 8
 
3.4%
자 8
 
3.4%
박 8
 
3.4%
게 7
 
3.0%
하 7
 
3.0%
제 7
 
3.0%
주 7
 
3.0%
Other values (76) 152
64.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
6.3%
트 10
 
4.2%
문 8
 
3.4%
우 8
 
3.4%
자 8
 
3.4%
박 8
 
3.4%
게 7
 
3.0%
하 7
 
3.0%
제 7
 
3.0%
주 7
 
3.0%
Other values (76) 152
64.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 15
 
6.3%
트 10
 
4.2%
문 8
 
3.4%
우 8
 
3.4%
자 8
 
3.4%
박 8
 
3.4%
게 7
 
3.0%
하 7
 
3.0%
제 7
 
3.0%
주 7
 
3.0%
Other values (76) 152
64.1%

cnslt_kwrd_rn3_nm
Text

MISSING 

Distinct42
Distinct (%)58.3%
Missing28
Missing (%)28.0%
Memory size932.0 B
2023-12-10T19:03:47.842981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5
Min length2

Characters and Unicode

Total characters180
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)38.9%

Sample

1st row이용
2nd row문자
3rd row이용
4th row요금
5th row문자
ValueCountFrequency (%)
제주 9
 
12.5%
이용 8
 
11.1%
리조트 3
 
4.2%
체인 3
 
4.2%
서귀포 3
 
4.2%
호텔 2
 
2.8%
성산 2
 
2.8%
문자 2
 
2.8%
숙박 2
 
2.8%
민박 2
 
2.8%
Other values (32) 36
50.0%
2023-12-10T19:03:48.594009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 10
 
5.6%
주 10
 
5.6%
이 9
 
5.0%
용 9
 
5.0%
인 7
 
3.9%
트 6
 
3.3%
스 5
 
2.8%
라 5
 
2.8%
리 4
 
2.2%
박 4
 
2.2%
Other values (68) 111
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10
 
5.6%
주 10
 
5.6%
이 9
 
5.0%
용 9
 
5.0%
인 7
 
3.9%
트 6
 
3.3%
스 5
 
2.8%
라 5
 
2.8%
리 4
 
2.2%
박 4
 
2.2%
Other values (68) 111
61.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10
 
5.6%
주 10
 
5.6%
이 9
 
5.0%
용 9
 
5.0%
인 7
 
3.9%
트 6
 
3.3%
스 5
 
2.8%
라 5
 
2.8%
리 4
 
2.2%
박 4
 
2.2%
Other values (68) 111
61.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 10
 
5.6%
주 10
 
5.6%
이 9
 
5.0%
용 9
 
5.0%
인 7
 
3.9%
트 6
 
3.3%
스 5
 
2.8%
라 5
 
2.8%
리 4
 
2.2%
박 4
 
2.2%
Other values (68) 111
61.7%

cnslt_kwrd_rn4_nm
Text

MISSING 

Distinct28
Distinct (%)60.9%
Missing54
Missing (%)54.0%
Memory size932.0 B
2023-12-10T19:03:48.892597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.2608696
Min length2

Characters and Unicode

Total characters104
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)37.0%

Sample

1st row숙소
2nd row대정
3rd row숙소
4th row제주
5th row유선
ValueCountFrequency (%)
제주 6
 
13.0%
유선 3
 
6.5%
숙소 3
 
6.5%
안전 3
 
6.5%
비짓 2
 
4.3%
숙박 2
 
4.3%
정원 2
 
4.3%
시내 2
 
4.3%
이용 2
 
4.3%
문자 2
 
4.3%
Other values (18) 19
41.3%
2023-12-10T19:03:49.421347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8
 
7.7%
제 6
 
5.8%
숙 5
 
4.8%
소 5
 
4.8%
유 4
 
3.8%
선 4
 
3.8%
박 4
 
3.8%
정 3
 
2.9%
안 3
 
2.9%
전 3
 
2.9%
Other values (44) 59
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8
 
7.7%
제 6
 
5.8%
숙 5
 
4.8%
소 5
 
4.8%
유 4
 
3.8%
선 4
 
3.8%
박 4
 
3.8%
정 3
 
2.9%
안 3
 
2.9%
전 3
 
2.9%
Other values (44) 59
56.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8
 
7.7%
제 6
 
5.8%
숙 5
 
4.8%
소 5
 
4.8%
유 4
 
3.8%
선 4
 
3.8%
박 4
 
3.8%
정 3
 
2.9%
안 3
 
2.9%
전 3
 
2.9%
Other values (44) 59
56.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8
 
7.7%
제 6
 
5.8%
숙 5
 
4.8%
소 5
 
4.8%
유 4
 
3.8%
선 4
 
3.8%
박 4
 
3.8%
정 3
 
2.9%
안 3
 
2.9%
전 3
 
2.9%
Other values (44) 59
56.7%

cnslt_kwrd_rn5_nm
Text

MISSING 

Distinct23
Distinct (%)57.5%
Missing60
Missing (%)60.0%
Memory size932.0 B
2023-12-10T19:03:49.699271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.425
Min length2

Characters and Unicode

Total characters97
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)35.0%

Sample

1st row게스트하우스
2nd row서귀포
3rd row요금
4th row도로
5th row문자
ValueCountFrequency (%)
제주 8
20.0%
이용 3
 
7.5%
요금 3
 
7.5%
안전 2
 
5.0%
서귀포 2
 
5.0%
숙박 2
 
5.0%
버스 2
 
5.0%
게스트하우스 2
 
5.0%
인증 2
 
5.0%
유선 1
 
2.5%
Other values (13) 13
32.5%
2023-12-10T19:03:50.256791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 9
 
9.3%
제 8
 
8.2%
스 6
 
6.2%
요 3
 
3.1%
금 3
 
3.1%
이 3
 
3.1%
용 3
 
3.1%
관 3
 
3.1%
숙 3
 
3.1%
인 3
 
3.1%
Other values (37) 53
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9
 
9.3%
제 8
 
8.2%
스 6
 
6.2%
요 3
 
3.1%
금 3
 
3.1%
이 3
 
3.1%
용 3
 
3.1%
관 3
 
3.1%
숙 3
 
3.1%
인 3
 
3.1%
Other values (37) 53
54.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9
 
9.3%
제 8
 
8.2%
스 6
 
6.2%
요 3
 
3.1%
금 3
 
3.1%
이 3
 
3.1%
용 3
 
3.1%
관 3
 
3.1%
숙 3
 
3.1%
인 3
 
3.1%
Other values (37) 53
54.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 9
 
9.3%
제 8
 
8.2%
스 6
 
6.2%
요 3
 
3.1%
금 3
 
3.1%
이 3
 
3.1%
용 3
 
3.1%
관 3
 
3.1%
숙 3
 
3.1%
인 3
 
3.1%
Other values (37) 53
54.6%

cnslt_ty_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일반
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 100
100.0%

Length

2023-12-10T19:03:50.500737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:50.682231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 100
100.0%

tour_purps_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
휴양 및 관광
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴양 및 관광
2nd row휴양 및 관광
3rd row휴양 및 관광
4th row휴양 및 관광
5th row휴양 및 관광

Common Values

ValueCountFrequency (%)
휴양 및 관광 100
100.0%

Length

2023-12-10T19:03:50.855215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:51.062059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴양 100
33.3%
및 100
33.3%
관광 100
33.3%

cours_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
홈페이지
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홈페이지 100
100.0%

Length

2023-12-10T19:03:51.265349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:51.468299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홈페이지 100
100.0%

cstmr_incln_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일반
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 100
100.0%

Length

2023-12-10T19:03:51.639811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:51.806797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 100
100.0%

chnnel_flag_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전화
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전화 100
100.0%

Length

2023-12-10T19:03:51.978154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:52.136485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화 100
100.0%

talk_flag_nm
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아웃바운드
61 
인바운드
39 

Length

Max length5
Median length5
Mean length4.61
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아웃바운드
2nd row아웃바운드
3rd row인바운드
4th row아웃바운드
5th row아웃바운드

Common Values

ValueCountFrequency (%)
아웃바운드 61
61.0%
인바운드 39
39.0%

Length

2023-12-10T19:03:52.348448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:52.590879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아웃바운드 61
61.0%
인바운드 39
39.0%

state_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
완료
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완료 100
100.0%

Length

2023-12-10T19:03:52.878585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:03:53.184573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 100
100.0%

updt_de
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210932
Minimum20210503
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:03:53.401592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210503
5-th percentile20210503
Q120210522
median20211104
Q320211113
95-th percentile20211126
Maximum20211130
Range627
Interquartile range (IQR)591

Descriptive statistics

Standard deviation275.15663
Coefficient of variation (CV)1.3614247 × 10-5
Kurtosis-1.2376136
Mean20210932
Median Absolute Deviation (MAD)15
Skewness-0.88440952
Sum2.0210932 × 109
Variance75711.174
MonotonicityNot monotonic
2023-12-10T19:03:53.750776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20211103 10
 
10.0%
20211105 10
 
10.0%
20211104 8
 
8.0%
20211106 7
 
7.0%
20210503 6
 
6.0%
20210521 5
 
5.0%
20211126 4
 
4.0%
20210511 4
 
4.0%
20211112 4
 
4.0%
20211119 4
 
4.0%
Other values (21) 38
38.0%
ValueCountFrequency (%)
20210503 6
6.0%
20210506 3
3.0%
20210510 1
 
1.0%
20210511 4
4.0%
20210517 2
 
2.0%
20210519 1
 
1.0%
20210520 3
3.0%
20210521 5
5.0%
20210522 1
 
1.0%
20210524 3
3.0%
ValueCountFrequency (%)
20211130 1
 
1.0%
20211129 3
3.0%
20211128 1
 
1.0%
20211126 4
4.0%
20211125 3
3.0%
20211124 3
3.0%
20211122 2
2.0%
20211119 4
4.0%
20211116 2
2.0%
20211115 2
2.0%

Interactions

2023-12-10T19:03:41.948312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:41.619973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:42.112010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:03:41.786227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:03:53.986949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
rcept_delang_flag_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcnslt_kwrd_rn2_nmcnslt_kwrd_rn3_nmcnslt_kwrd_rn4_nmcnslt_kwrd_rn5_nmtalk_flag_nmupdt_de
rcept_de1.0000.0000.4870.6050.6060.4460.0000.6310.0000.999
lang_flag_nm0.0001.0000.0000.0001.0001.000NaNNaN0.0000.000
cnslt_sclas_nm0.4870.0001.0000.8880.9510.7900.6640.2370.6740.487
cnslt_kwrd_rn1_nm0.6050.0000.8881.0000.9310.0000.6790.8810.7020.605
cnslt_kwrd_rn2_nm0.6061.0000.9510.9311.0000.9100.9410.0000.8560.606
cnslt_kwrd_rn3_nm0.4461.0000.7900.0000.9101.0000.9750.7460.7470.446
cnslt_kwrd_rn4_nm0.000NaN0.6640.6790.9410.9751.0000.7200.3380.000
cnslt_kwrd_rn5_nm0.631NaN0.2370.8810.0000.7460.7201.0000.3850.631
talk_flag_nm0.0000.0000.6740.7020.8560.7470.3380.3851.0000.000
updt_de0.9990.0000.4870.6050.6060.4460.0000.6310.0001.000
2023-12-10T19:03:54.305621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
lang_flag_nmtalk_flag_nmcnslt_sclas_nmcnslt_kwrd_rn1_nm
lang_flag_nm1.0000.0000.0000.000
talk_flag_nm0.0001.0000.4830.509
cnslt_sclas_nm0.0000.4831.0000.550
cnslt_kwrd_rn1_nm0.0000.5090.5501.000
2023-12-10T19:03:54.506892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
rcept_deupdt_delang_flag_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmtalk_flag_nm
rcept_de1.0000.9930.0000.4740.4570.000
updt_de0.9931.0000.0000.4740.4570.000
lang_flag_nm0.0000.0001.0000.0000.0000.000
cnslt_sclas_nm0.4740.4740.0001.0000.5500.483
cnslt_kwrd_rn1_nm0.4570.4570.0000.5501.0000.509
talk_flag_nm0.0000.0000.0000.4830.5091.000

Missing values

2023-12-10T19:03:42.398576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:03:42.833780image/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.
2023-12-10T19:03:43.458158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

rcept_delang_flag_nmcnslt_lclas_nmcnslt_mlsfc_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcnslt_kwrd_rn2_nmcnslt_kwrd_rn3_nmcnslt_kwrd_rn4_nmcnslt_kwrd_rn5_nmcnslt_ty_nmtour_purps_nmcours_nmcstmr_incln_nmchnnel_flag_nmtalk_flag_nmstate_nmupdt_de
020211106한국어숙박숙박호텔호텔<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211106
120211105한국어숙박숙박게스트하우스외국인게스트하우스이용<NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211105
220211108한국어숙박숙박펜션/민박동반우도문자숙소게스트하우스일반휴양 및 관광홈페이지일반전화인바운드완료20211108
320211103한국어숙박숙박게스트하우스게스트하우스그린이용<NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211103
420211104한국어숙박숙박게스트하우스게스트하우스<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211104
520211104한국어숙박숙박게스트하우스외국어이용요금요금대정서귀포일반휴양 및 관광홈페이지일반전화아웃바운드완료20211104
620211116한국어숙박숙박펜션/민박연락처숙박문자숙소요금일반휴양 및 관광홈페이지일반전화인바운드완료20211116
720211102한국어숙박숙박기타유채꽃카페이용<NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211102
820211106한국어숙박숙박리조트호텔신화월드<NA><NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211106
920211106한국어숙박숙박호텔연락처숙박호텔제주도로일반휴양 및 관광홈페이지일반전화인바운드완료20211106
rcept_delang_flag_nmcnslt_lclas_nmcnslt_mlsfc_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcnslt_kwrd_rn2_nmcnslt_kwrd_rn3_nmcnslt_kwrd_rn4_nmcnslt_kwrd_rn5_nmcnslt_ty_nmtour_purps_nmcours_nmcstmr_incln_nmchnnel_flag_nmtalk_flag_nmstate_nmupdt_de
9020210521한국어숙박숙박기타숙박매점식당유스호스텔제주일반휴양 및 관광홈페이지일반전화아웃바운드완료20210521
9120210511한국어숙박숙박펜션/민박유선이용<NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20210511
9220210511한국어숙박숙박호텔호텔카지노제주<NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20210511
9320210510한국어숙박숙박호텔숙박제주도청리스트호텔제주일반휴양 및 관광홈페이지일반전화인바운드완료20210510
9420210520한국어숙박숙박호텔연락처유선숙박숙소호텔일반휴양 및 관광홈페이지일반전화아웃바운드완료20210520
9520210520한국어숙박숙박호텔제주도청호텔제주<NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20210520
9620210520한국어숙박숙박호텔1100호텔제주주차공간주차일반휴양 및 관광홈페이지일반전화아웃바운드완료20210520
9720210524한국어숙박숙박리조트리조트<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20210524
9820210516한국어숙박숙박호텔신화월드<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20210517
9920210531한국어숙박숙박펜션/민박숙박숙소민박안전인증일반휴양 및 관광홈페이지일반전화인바운드완료20210531

Duplicate rows

Most frequently occurring

rcept_delang_flag_nmcnslt_lclas_nmcnslt_mlsfc_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcnslt_kwrd_rn2_nmcnslt_kwrd_rn3_nmcnslt_kwrd_rn4_nmcnslt_kwrd_rn5_nmcnslt_ty_nmtour_purps_nmcours_nmcstmr_incln_nmchnnel_flag_nmtalk_flag_nmstate_nmupdt_de# duplicates
020210503한국어숙박숙박리조트리조트서귀포제주<NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료202105032
120211103한국어숙박숙박게스트하우스외국어게스트하우스<NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료202111032
220211106한국어숙박숙박호텔호텔<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료202111062