Overview

Dataset statistics

Number of variables18
Number of observations100
Missing cells96
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
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_ty_nm has constant value ""Constant
tour_purps_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
cnslt_sclas_nm is highly overall correlated with cnslt_mlsfc_nm and 1 other fieldsHigh correlation
cnslt_mlsfc_nm is highly overall correlated with rcept_de and 2 other fieldsHigh correlation
rcept_de is highly overall correlated with updt_de and 1 other fieldsHigh correlation
updt_de is highly overall correlated with rcept_deHigh correlation
lang_flag_nm is highly overall correlated with cnslt_kwrd_rn1_nmHigh correlation
cnslt_kwrd_rn1_nm is highly overall correlated with lang_flag_nm and 2 other fieldsHigh correlation
lang_flag_nm is highly imbalanced (85.9%)Imbalance
cnslt_mlsfc_nm is highly imbalanced (80.6%)Imbalance
cours_nm is highly imbalanced (84.9%)Imbalance
cnslt_kwrd_rn2_nm has 6 (6.0%) missing valuesMissing
cnslt_kwrd_rn3_nm has 15 (15.0%) missing valuesMissing
cnslt_kwrd_rn4_nm has 31 (31.0%) missing valuesMissing
cnslt_kwrd_rn5_nm has 44 (44.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 10:04:11.638760
Analysis finished2023-12-10 10:04:17.474513
Duration5.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

rcept_de
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211013
Minimum20211001
Maximum20211029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:04:17.595193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20211001
5-th percentile20211001
Q120211008
median20211013
Q320211018
95-th percentile20211029
Maximum20211029
Range28
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.4009008
Coefficient of variation (CV)3.6618159 × 10-7
Kurtosis-0.39335336
Mean20211013
Median Absolute Deviation (MAD)5
Skewness0.18530016
Sum2.0211013 × 109
Variance54.773333
MonotonicityNot monotonic
2023-12-10T19:04:17.819027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20211001 11
 
11.0%
20211015 8
 
8.0%
20211022 6
 
6.0%
20211013 6
 
6.0%
20211007 6
 
6.0%
20211010 6
 
6.0%
20211029 6
 
6.0%
20211009 6
 
6.0%
20211014 6
 
6.0%
20211020 5
 
5.0%
Other values (12) 34
34.0%
ValueCountFrequency (%)
20211001 11
11.0%
20211003 3
 
3.0%
20211004 1
 
1.0%
20211006 2
 
2.0%
20211007 6
6.0%
20211008 3
 
3.0%
20211009 6
6.0%
20211010 6
6.0%
20211011 4
 
4.0%
20211012 4
 
4.0%
ValueCountFrequency (%)
20211029 6
6.0%
20211024 1
 
1.0%
20211022 6
6.0%
20211021 2
 
2.0%
20211020 5
5.0%
20211019 5
5.0%
20211018 4
4.0%
20211017 3
 
3.0%
20211016 2
 
2.0%
20211015 8
8.0%

lang_flag_nm
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
한국어
98 
영어
 
2

Length

Max length3
Median length3
Mean length2.98
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국어 98
98.0%
영어 2
 
2.0%

Length

2023-12-10T19:04:18.087038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:18.282028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국어 98
98.0%
영어 2
 
2.0%

cnslt_lclas_nm
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광지 100
100.0%

Length

2023-12-10T19:04:18.453480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:18.679769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광지 100
100.0%

cnslt_mlsfc_nm
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
자연
97 
무장애여행
 
3

Length

Max length5
Median length2
Mean length2.09
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자연
2nd row무장애여행
3rd row자연
4th row자연
5th row자연

Common Values

ValueCountFrequency (%)
자연 97
97.0%
무장애여행 3
 
3.0%

Length

2023-12-10T19:04:18.912771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:19.135170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연 97
97.0%
무장애여행 3
 
3.0%

cnslt_sclas_nm
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
오름
38 
해수욕장/해변
22 
산
16 
섬속의 섬
5 
동굴
4 
Other values (5)
15 

Length

Max length7
Median length6
Mean length3.16
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row오름
2nd row휠체어
3rd row동굴
4th row산
5th row오름

Common Values

ValueCountFrequency (%)
오름 38
38.0%
해수욕장/해변 22
22.0%
산 16
16.0%
섬속의 섬 5
 
5.0%
동굴 4
 
4.0%
휴양림 4
 
4.0%
휠체어 3
 
3.0%
기타 3
 
3.0%
폭포 3
 
3.0%
계곡 2
 
2.0%

Length

2023-12-10T19:04:19.315190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:19.528280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오름 38
36.2%
해수욕장/해변 22
21.0%
산 16
15.2%
섬속의 5
 
4.8%
섬 5
 
4.8%
동굴 4
 
3.8%
휴양림 4
 
3.8%
휠체어 3
 
2.9%
기타 3
 
2.9%
폭포 3
 
2.9%

cnslt_kwrd_rn1_nm
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
오름
25 
사전예약
8 
인원
 
5
안내소
 
4
문자
 
4
Other values (36)
54 

Length

Max length5
Median length2
Mean length2.63
Min length2

Unique

Unique24 ?
Unique (%)24.0%

Sample

1st row오름
2nd row대여
3rd row만장굴
4th row안내소
5th row오름

Common Values

ValueCountFrequency (%)
오름 25
25.0%
사전예약 8
 
8.0%
인원 5
 
5.0%
안내소 4
 
4.0%
문자 4
 
4.0%
연락처 4
 
4.0%
입장료 3
 
3.0%
해설 3
 
3.0%
동반 3
 
3.0%
안전 3
 
3.0%
Other values (31) 38
38.0%

Length

2023-12-10T19:04:19.794363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오름 25
25.0%
사전예약 8
 
8.0%
인원 5
 
5.0%
안내소 4
 
4.0%
문자 4
 
4.0%
연락처 4
 
4.0%
입장료 3
 
3.0%
해설 3
 
3.0%
동반 3
 
3.0%
안전 3
 
3.0%
Other values (31) 38
38.0%

cnslt_kwrd_rn2_nm
Text

MISSING 

Distinct47
Distinct (%)50.0%
Missing6
Missing (%)6.0%
Memory size932.0 B
2023-12-10T19:04:20.165898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.6808511
Min length2

Characters and Unicode

Total characters252
Distinct characters84
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

Unique23 ?
Unique (%)24.5%

Sample

1st row이용시간
2nd row유선
3rd row연락처
4th row삼양
5th row오름
ValueCountFrequency (%)
오름 9
 
9.6%
탐방 6
 
6.4%
안전 5
 
5.3%
체험 4
 
4.3%
이용 4
 
4.3%
문자 3
 
3.2%
연락처 3
 
3.2%
운영시간 3
 
3.2%
무료 3
 
3.2%
이용시간 3
 
3.2%
Other values (37) 51
54.3%
2023-12-10T19:04:20.785102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 12
 
4.8%
름 12
 
4.8%
용 10
 
4.0%
연 8
 
3.2%
안 8
 
3.2%
방 8
 
3.2%
시 8
 
3.2%
이 8
 
3.2%
제 7
 
2.8%
간 6
 
2.4%
Other values (74) 165
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 12
 
4.8%
름 12
 
4.8%
용 10
 
4.0%
연 8
 
3.2%
안 8
 
3.2%
방 8
 
3.2%
시 8
 
3.2%
이 8
 
3.2%
제 7
 
2.8%
간 6
 
2.4%
Other values (74) 165
65.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 12
 
4.8%
름 12
 
4.8%
용 10
 
4.0%
연 8
 
3.2%
안 8
 
3.2%
방 8
 
3.2%
시 8
 
3.2%
이 8
 
3.2%
제 7
 
2.8%
간 6
 
2.4%
Other values (74) 165
65.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 12
 
4.8%
름 12
 
4.8%
용 10
 
4.0%
연 8
 
3.2%
안 8
 
3.2%
방 8
 
3.2%
시 8
 
3.2%
이 8
 
3.2%
제 7
 
2.8%
간 6
 
2.4%
Other values (74) 165
65.5%

cnslt_kwrd_rn3_nm
Text

MISSING 

Distinct47
Distinct (%)55.3%
Missing15
Missing (%)15.0%
Memory size932.0 B
2023-12-10T19:04:21.156357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.6588235
Min length2

Characters and Unicode

Total characters226
Distinct characters84
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 (%)32.9%

Sample

1st row이용
2nd row휠체어
3rd row탐방
4th row주차장
5th row민속자연사
ValueCountFrequency (%)
오름 8
 
9.4%
이용 6
 
7.1%
탐방 3
 
3.5%
주차장 3
 
3.5%
휠체어 3
 
3.5%
폭포 3
 
3.5%
올레 3
 
3.5%
도로 3
 
3.5%
통제 3
 
3.5%
제주 3
 
3.5%
Other values (37) 47
55.3%
2023-12-10T19:04:21.779562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 9
 
4.0%
주 9
 
4.0%
름 9
 
4.0%
이 8
 
3.5%
산 7
 
3.1%
용 7
 
3.1%
제 6
 
2.7%
자 6
 
2.7%
도 6
 
2.7%
포 6
 
2.7%
Other values (74) 153
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 9
 
4.0%
주 9
 
4.0%
름 9
 
4.0%
이 8
 
3.5%
산 7
 
3.1%
용 7
 
3.1%
제 6
 
2.7%
자 6
 
2.7%
도 6
 
2.7%
포 6
 
2.7%
Other values (74) 153
67.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 9
 
4.0%
주 9
 
4.0%
름 9
 
4.0%
이 8
 
3.5%
산 7
 
3.1%
용 7
 
3.1%
제 6
 
2.7%
자 6
 
2.7%
도 6
 
2.7%
포 6
 
2.7%
Other values (74) 153
67.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 9
 
4.0%
주 9
 
4.0%
름 9
 
4.0%
이 8
 
3.5%
산 7
 
3.1%
용 7
 
3.1%
제 6
 
2.7%
자 6
 
2.7%
도 6
 
2.7%
포 6
 
2.7%
Other values (74) 153
67.7%

cnslt_kwrd_rn4_nm
Text

MISSING 

Distinct42
Distinct (%)60.9%
Missing31
Missing (%)31.0%
Memory size932.0 B
2023-12-10T19:04:22.181572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.826087
Min length2

Characters and Unicode

Total characters195
Distinct characters77
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 (%)40.6%

Sample

1st row선착순
2nd row한라산
3rd row문자
4th row비자림
5th row휠체어
ValueCountFrequency (%)
탐방 5
 
7.2%
주상절리 4
 
5.8%
제주 4
 
5.8%
한라산 4
 
5.8%
관광지 3
 
4.3%
이용 3
 
4.3%
문자 3
 
4.3%
이용시간 3
 
4.3%
방문 2
 
2.9%
자연 2
 
2.9%
Other values (32) 36
52.2%
2023-12-10T19:04:22.936319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
5.6%
문 8
 
4.1%
자 7
 
3.6%
이 7
 
3.6%
방 7
 
3.6%
제 6
 
3.1%
용 6
 
3.1%
산 5
 
2.6%
라 5
 
2.6%
연 5
 
2.6%
Other values (67) 128
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
5.6%
문 8
 
4.1%
자 7
 
3.6%
이 7
 
3.6%
방 7
 
3.6%
제 6
 
3.1%
용 6
 
3.1%
산 5
 
2.6%
라 5
 
2.6%
연 5
 
2.6%
Other values (67) 128
65.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 195
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
5.6%
문 8
 
4.1%
자 7
 
3.6%
이 7
 
3.6%
방 7
 
3.6%
제 6
 
3.1%
용 6
 
3.1%
산 5
 
2.6%
라 5
 
2.6%
연 5
 
2.6%
Other values (67) 128
65.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 195
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
5.6%
문 8
 
4.1%
자 7
 
3.6%
이 7
 
3.6%
방 7
 
3.6%
제 6
 
3.1%
용 6
 
3.1%
산 5
 
2.6%
라 5
 
2.6%
연 5
 
2.6%
Other values (67) 128
65.6%

cnslt_kwrd_rn5_nm
Text

MISSING 

Distinct36
Distinct (%)64.3%
Missing44
Missing (%)44.0%
Memory size932.0 B
2023-12-10T19:04:23.330804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5535714
Min length2

Characters and Unicode

Total characters143
Distinct characters77
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)46.4%

Sample

1st row방문
2nd row한라
3rd row제주
4th row자연
5th row장애인
ValueCountFrequency (%)
통제 4
 
7.1%
한라 4
 
7.1%
탐방 4
 
7.1%
문자 3
 
5.4%
이용 3
 
5.4%
서귀포 3
 
5.4%
관광정보 3
 
5.4%
제주 2
 
3.6%
오름 2
 
3.6%
방문 2
 
3.6%
Other values (26) 26
46.4%
2023-12-10T19:04:23.895032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 6
 
4.2%
방 6
 
4.2%
문 6
 
4.2%
자 5
 
3.5%
통 4
 
2.8%
관 4
 
2.8%
이 4
 
2.8%
포 4
 
2.8%
라 4
 
2.8%
탐 4
 
2.8%
Other values (67) 96
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
97.2%
Decimal Number 4
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 6
 
4.3%
방 6
 
4.3%
문 6
 
4.3%
자 5
 
3.6%
통 4
 
2.9%
관 4
 
2.9%
이 4
 
2.9%
포 4
 
2.9%
라 4
 
2.9%
탐 4
 
2.9%
Other values (65) 92
66.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
0 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
97.2%
Common 4
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 6
 
4.3%
방 6
 
4.3%
문 6
 
4.3%
자 5
 
3.6%
통 4
 
2.9%
관 4
 
2.9%
이 4
 
2.9%
포 4
 
2.9%
라 4
 
2.9%
탐 4
 
2.9%
Other values (65) 92
66.2%
Common
ValueCountFrequency (%)
1 2
50.0%
0 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
97.2%
ASCII 4
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 6
 
4.3%
방 6
 
4.3%
문 6
 
4.3%
자 5
 
3.6%
통 4
 
2.9%
관 4
 
2.9%
이 4
 
2.9%
포 4
 
2.9%
라 4
 
2.9%
탐 4
 
2.9%
Other values (65) 92
66.2%
ASCII
ValueCountFrequency (%)
1 2
50.0%
0 2
50.0%

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

2023-12-10T19:04:24.103637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:24.258133image/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

2023-12-10T19:04:24.408404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:24.551175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴양 100
33.3%
및 100
33.3%
관광 100
33.3%

cours_nm
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
홈페이지
96 
포털사이트
 
2
기타
 
1
타기관(제주120,한국관광공사 등)
 
1

Length

Max length19
Median length4
Mean length4.15
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
홈페이지 96
96.0%
포털사이트 2
 
2.0%
기타 1
 
1.0%
타기관(제주120,한국관광공사 등) 1
 
1.0%

Length

2023-12-10T19:04:24.709728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:24.870800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홈페이지 96
95.0%
포털사이트 2
 
2.0%
기타 1
 
1.0%
타기관(제주120,한국관광공사 1
 
1.0%
등 1
 
1.0%

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

2023-12-10T19:04:25.070968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:25.228397image/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

2023-12-10T19:04:25.382135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:25.568522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화 100
100.0%

talk_flag_nm
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
인바운드
80 
아웃바운드
20 

Length

Max length5
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인바운드 80
80.0%
아웃바운드 20
 
20.0%

Length

2023-12-10T19:04:25.737533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:26.281068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인바운드 80
80.0%
아웃바운드 20
 
20.0%

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

2023-12-10T19:04:26.619751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:04:26.787327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 100
100.0%

updt_de
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211014
Minimum20211001
Maximum20211101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:04:26.975546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20211001
5-th percentile20211001
Q120211008
median20211013
Q320211019
95-th percentile20211029
Maximum20211101
Range100
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.408286
Coefficient of variation (CV)5.6445886 × 10-7
Kurtosis33.417461
Mean20211014
Median Absolute Deviation (MAD)5
Skewness4.4972217
Sum2.0211014 × 109
Variance130.14899
MonotonicityNot monotonic
2023-12-10T19:04:27.248442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20211001 10
 
10.0%
20211015 8
 
8.0%
20211013 7
 
7.0%
20211029 6
 
6.0%
20211022 6
 
6.0%
20211007 6
 
6.0%
20211010 6
 
6.0%
20211014 6
 
6.0%
20211020 5
 
5.0%
20211019 5
 
5.0%
Other values (13) 35
35.0%
ValueCountFrequency (%)
20211001 10
10.0%
20211003 3
 
3.0%
20211004 1
 
1.0%
20211006 2
 
2.0%
20211007 6
6.0%
20211008 4
 
4.0%
20211009 4
 
4.0%
20211010 6
6.0%
20211011 4
 
4.0%
20211012 4
 
4.0%
ValueCountFrequency (%)
20211101 1
 
1.0%
20211029 6
6.0%
20211024 1
 
1.0%
20211022 6
6.0%
20211021 2
 
2.0%
20211020 5
5.0%
20211019 5
5.0%
20211018 4
4.0%
20211017 3
3.0%
20211016 2
 
2.0%

Interactions

2023-12-10T19:04:16.178690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:04:15.772810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:04:16.326749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:04:16.006134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:04:27.457076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
rcept_delang_flag_nmcnslt_mlsfc_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcnslt_kwrd_rn2_nmcnslt_kwrd_rn3_nmcnslt_kwrd_rn4_nmcnslt_kwrd_rn5_nmcours_nmtalk_flag_nmupdt_de
rcept_de1.0000.0000.8180.5170.5480.5260.6460.8400.8850.0000.3090.860
lang_flag_nm0.0001.0000.0000.1660.7990.0000.0000.2761.0000.0000.0000.000
cnslt_mlsfc_nm0.8180.0001.0001.0000.8460.9050.8121.0000.8630.0000.0000.608
cnslt_sclas_nm0.5170.1661.0001.0000.9320.9120.7870.8810.8060.0000.0000.435
cnslt_kwrd_rn1_nm0.5480.7990.8460.9321.0000.9150.9420.9510.9640.0000.0000.000
cnslt_kwrd_rn2_nm0.5260.0000.9050.9120.9151.0000.9490.7500.9140.8040.0000.000
cnslt_kwrd_rn3_nm0.6460.0000.8120.7870.9420.9491.0000.9050.7560.7480.0000.192
cnslt_kwrd_rn4_nm0.8400.2761.0000.8810.9510.7500.9051.0000.9780.0000.0000.000
cnslt_kwrd_rn5_nm0.8851.0000.8630.8060.9640.9140.7560.9781.0000.0000.8080.000
cours_nm0.0000.0000.0000.0000.0000.8040.7480.0000.0001.0000.0000.000
talk_flag_nm0.3090.0000.0000.0000.0000.0000.0000.0000.8080.0001.0000.176
updt_de0.8600.0000.6080.4350.0000.0000.1920.0000.0000.0000.1761.000
2023-12-10T19:04:27.768603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
talk_flag_nmcours_nmcnslt_kwrd_rn1_nmcnslt_sclas_nmcnslt_mlsfc_nmlang_flag_nm
talk_flag_nm1.0000.0000.0000.0000.0000.000
cours_nm0.0001.0000.0000.0000.0000.000
cnslt_kwrd_rn1_nm0.0000.0001.0000.5020.5520.514
cnslt_sclas_nm0.0000.0000.5021.0000.9580.119
cnslt_mlsfc_nm0.0000.0000.5520.9581.0000.000
lang_flag_nm0.0000.0000.5140.1190.0001.000
2023-12-10T19:04:28.076714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
rcept_deupdt_delang_flag_nmcnslt_mlsfc_nmcnslt_sclas_nmcnslt_kwrd_rn1_nmcours_nmtalk_flag_nm
rcept_de1.0000.9660.0000.6310.1630.1380.0000.206
updt_de0.9661.0000.0000.4220.2180.0000.0650.108
lang_flag_nm0.0000.0001.0000.0000.1190.5140.0000.000
cnslt_mlsfc_nm0.6310.4220.0001.0000.9580.5520.0000.000
cnslt_sclas_nm0.1630.2180.1190.9581.0000.5020.0000.000
cnslt_kwrd_rn1_nm0.1380.0000.5140.5520.5021.0000.0000.000
cours_nm0.0000.0650.0000.0000.0000.0001.0000.000
talk_flag_nm0.2060.1080.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T19:04:16.552462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:04:17.019051image/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.
2023-12-10T19:04:17.348184image/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
020211020한국어관광지자연오름오름이용시간이용<NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211020
120211029한국어관광지무장애여행휠체어대여유선휠체어선착순방문일반휴양 및 관광홈페이지일반전화인바운드완료20211029
220211001한국어관광지자연동굴만장굴<NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211001
320211022한국어관광지자연산안내소연락처탐방한라산한라일반휴양 및 관광기타일반전화인바운드완료20211022
420211015한국어관광지자연오름오름삼양주차장문자제주일반휴양 및 관광홈페이지일반전화인바운드완료20211015
520211020한국어관광지자연오름동반오름<NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211020
620211019한국어관광지자연기타인원천제연폭포민속자연사비자림자연일반휴양 및 관광홈페이지일반전화아웃바운드완료20211019
720211029한국어관광지무장애여행휠체어사전예약대여유선휠체어장애인일반휴양 및 관광홈페이지일반전화인바운드완료20211029
820211022한국어관광지자연해수욕장/해변오름주상절리대탐방주상절리<NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211022
920211013한국어관광지자연오름성산우도휠체어성산항종달리항일반휴양 및 관광홈페이지일반전화인바운드완료20211013
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
9020211009한국어관광지자연산사전예약체험자연휴양림쇠소깍오름일반휴양 및 관광홈페이지일반전화아웃바운드완료20211101
9120211009한국어관광지자연계곡폭포통제<NA><NA><NA>일반휴양 및 관광홈페이지일반전화아웃바운드완료20211009
9220211010한국어관광지자연해수욕장/해변안전해수중문<NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211010
9320211021한국어관광지자연오름오름화장실<NA><NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211021
9420211021한국어관광지자연오름오름탐방이용시간이용<NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211021
9520211010한국어관광지자연오름오름탐방<NA><NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211010
9620211001한국어관광지자연오름해설체험오름다랑쉬오름유선일반휴양 및 관광홈페이지일반전화아웃바운드완료20211001
9720211001한국어관광지자연해수욕장/해변<NA><NA><NA><NA><NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211001
9820211001한국어관광지자연휴양림운영시간오름비자림이용<NA>일반휴양 및 관광홈페이지일반전화인바운드완료20211001
9920211001한국어관광지자연산연락처성판악숙박문자탐방일반휴양 및 관광홈페이지일반전화인바운드완료20211001