Overview

Dataset statistics

Number of variables50
Number of observations50
Missing cells562
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory450.6 B

Variable types

Categorical1
Text1
Numeric48

Dataset

Description인천광역시 문화예술 및 스포츠 행사 관람 만족도(음악, 영화 연극 무용 등)에 대한 조사 결과를 제공하는 데이터 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15066263/fileData.do

Alerts

음악 연주회 매우 불만족 (퍼센트) has 31 (62.0%) missing valuesMissing
음악 연주회 약간 불만족 (퍼센트) has 21 (42.0%) missing valuesMissing
음악 연주회 보통 (퍼센트) has 5 (10.0%) missing valuesMissing
음악 연주회 약간 만족 (퍼센트) has 2 (4.0%) missing valuesMissing
음악 연주회 매우 만족 (퍼센트) has 4 (8.0%) missing valuesMissing
음악 연주회 (5점 평균 (점)) has 1 (2.0%) missing valuesMissing
연극 마당극 뮤지컬 매우 불만족 (퍼센트) has 41 (82.0%) missing valuesMissing
연극 마당극 뮤지컬 약간 불만족 (퍼센트) has 25 (50.0%) missing valuesMissing
연극 마당극 뮤지컬 보통 (퍼센트) has 5 (10.0%) missing valuesMissing
연극 마당극 뮤지컬 약간 만족 (퍼센트) has 3 (6.0%) missing valuesMissing
연극 마당극 뮤지컬 매우 만족 (퍼센트) has 1 (2.0%) missing valuesMissing
연극 마당극 뮤지컬 5점 평균 (점) has 1 (2.0%) missing valuesMissing
무용 매우 불만족 (퍼센트) has 41 (82.0%) missing valuesMissing
무용 약간 불만족 (퍼센트) has 25 (50.0%) missing valuesMissing
무용 보통 (퍼센트) has 6 (12.0%) missing valuesMissing
무용 약간 만족 (퍼센트) has 14 (28.0%) missing valuesMissing
무용 매우 만족 (퍼센트) has 19 (38.0%) missing valuesMissing
무용 5점 평균 (점) has 2 (4.0%) missing valuesMissing
영화 매우 불만족 (퍼센트) has 7 (14.0%) missing valuesMissing
영화 약간 불만족 (퍼센트) has 5 (10.0%) missing valuesMissing
영화 보통 (퍼센트) has 1 (2.0%) missing valuesMissing
박물관 매우 불만족 (퍼센트) has 31 (62.0%) missing valuesMissing
박물관 약간 불만족 (퍼센트) has 14 (28.0%) missing valuesMissing
박물관 보통 (퍼센트) has 2 (4.0%) missing valuesMissing
박물관 약간 만족 (퍼센트) has 1 (2.0%) missing valuesMissing
박물관 매우 만족 (퍼센트) has 2 (4.0%) missing valuesMissing
박물관 5점 평균 (점) has 1 (2.0%) missing valuesMissing
미술관 매우 불만족 (퍼센트) has 30 (60.0%) missing valuesMissing
미술관 약간 불만족 (퍼센트) has 15 (30.0%) missing valuesMissing
미술관 보통 (퍼센트) has 4 (8.0%) missing valuesMissing
미술관 약간 만족 (퍼센트) has 1 (2.0%) missing valuesMissing
미술관 매우 만족 (퍼센트) has 4 (8.0%) missing valuesMissing
미술관 5점 평균 (점) has 1 (2.0%) missing valuesMissing
스포츠 매우 불만족 (퍼센트) has 27 (54.0%) missing valuesMissing
스포츠 약간 불만족 (퍼센트) has 13 (26.0%) missing valuesMissing
스포츠 보통 (퍼센트) has 3 (6.0%) missing valuesMissing
스포츠 약간 만족 (퍼센트) has 4 (8.0%) missing valuesMissing
스포츠 매우 만족 (퍼센트) has 5 (10.0%) missing valuesMissing
기타 매우 불만족 (퍼센트) has 41 (82.0%) missing valuesMissing
기타 약간 불만족 (퍼센트) has 31 (62.0%) missing valuesMissing
기타 보통 (퍼센트) has 15 (30.0%) missing valuesMissing
기타 약간 만족 (퍼센트) has 13 (26.0%) missing valuesMissing
기타 매우 만족 (퍼센트) has 41 (82.0%) missing valuesMissing
기타 5점 평균 (점) has 3 (6.0%) missing valuesMissing
특성별(2) has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:08:09.926105
Analysis finished2023-12-12 17:08:10.517869
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

특성별(1)
Categorical

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
군구별
10 
직업별
월평균소득별
연령별
가구원수별
Other values (4)
13 

Length

Max length7
Median length3
Mean length4.04
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군구별 10
20.0%
직업별 8
16.0%
월평균소득별 8
16.0%
연령별 6
12.0%
가구원수별 5
10.0%
학력별 4
 
8.0%
주거형태별 4
 
8.0%
주거점유형태별 3
 
6.0%
성별 2
 
4.0%

Length

2023-12-13T02:08:10.598217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:08:10.742986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군구별 10
20.0%
직업별 8
16.0%
월평균소득별 8
16.0%
연령별 6
12.0%
가구원수별 5
10.0%
학력별 4
 
8.0%
주거형태별 4
 
8.0%
주거점유형태별 3
 
6.0%
성별 2
 
4.0%

특성별(2)
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T02:08:11.000183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7.5
Mean length4.92
Min length2

Characters and Unicode

Total characters246
Distinct characters76
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row중구
2nd row동구
3rd row미추홀구
4th row연수구
5th row남동구
ValueCountFrequency (%)
미만 7
 
9.7%
5
 
6.9%
이상 3
 
4.2%
기타 2
 
2.8%
중구 1
 
1.4%
기능노무 1
 
1.4%
4인 1
 
1.4%
학생 1
 
1.4%
주부 1
 
1.4%
무직/기타 1
 
1.4%
Other values (49) 49
68.1%
2023-12-13T02:08:11.464000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
 
13.4%
22
 
8.9%
15
 
6.1%
~ 11
 
4.5%
9
 
3.7%
8
 
3.3%
8
 
3.3%
8
 
3.3%
3 6
 
2.4%
5
 
2.0%
Other values (66) 121
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
57.7%
Decimal Number 69
28.0%
Space Separator 22
 
8.9%
Math Symbol 11
 
4.5%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
10.6%
9
 
6.3%
8
 
5.6%
8
 
5.6%
8
 
5.6%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (54) 72
50.7%
Decimal Number
ValueCountFrequency (%)
0 33
47.8%
3 6
 
8.7%
9 5
 
7.2%
5 5
 
7.2%
4 5
 
7.2%
2 5
 
7.2%
1 5
 
7.2%
6 3
 
4.3%
7 2
 
2.9%
Space Separator
ValueCountFrequency (%)
22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
57.7%
Common 104
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
10.6%
9
 
6.3%
8
 
5.6%
8
 
5.6%
8
 
5.6%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (54) 72
50.7%
Common
ValueCountFrequency (%)
0 33
31.7%
22
21.2%
~ 11
 
10.6%
3 6
 
5.8%
9 5
 
4.8%
5 5
 
4.8%
4 5
 
4.8%
2 5
 
4.8%
1 5
 
4.8%
6 3
 
2.9%
Other values (2) 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
57.7%
ASCII 104
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
31.7%
22
21.2%
~ 11
 
10.6%
3 6
 
5.8%
9 5
 
4.8%
5 5
 
4.8%
4 5
 
4.8%
2 5
 
4.8%
1 5
 
4.8%
6 3
 
2.9%
Other values (2) 4
 
3.8%
Hangul
ValueCountFrequency (%)
15
 
10.6%
9
 
6.3%
8
 
5.6%
8
 
5.6%
8
 
5.6%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (54) 72
50.7%
Distinct17
Distinct (%)89.5%
Missing31
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean5.7736842
Minimum1.1
Maximum14.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:11.641191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.91
Q13.6
median5.9
Q37.1
95-th percentile10.25
Maximum14.3
Range13.2
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.1991044
Coefficient of variation (CV)0.55408372
Kurtosis1.3695014
Mean5.7736842
Median Absolute Deviation (MAD)2.3
Skewness0.92097106
Sum109.7
Variance10.234269
MonotonicityNot monotonic
2023-12-13T02:08:11.799389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3.6 3
 
6.0%
9.0 1
 
2.0%
6.3 1
 
2.0%
8.3 1
 
2.0%
2.0 1
 
2.0%
14.3 1
 
2.0%
2.6 1
 
2.0%
9.8 1
 
2.0%
5.0 1
 
2.0%
6.4 1
 
2.0%
Other values (7) 7
 
14.0%
(Missing) 31
62.0%
ValueCountFrequency (%)
1.1 1
 
2.0%
2.0 1
 
2.0%
2.5 1
 
2.0%
2.6 1
 
2.0%
3.6 3
6.0%
4.6 1
 
2.0%
5.0 1
 
2.0%
5.9 1
 
2.0%
6.3 1
 
2.0%
6.4 1
 
2.0%
ValueCountFrequency (%)
14.3 1
2.0%
9.8 1
2.0%
9.0 1
2.0%
8.3 1
2.0%
7.2 1
2.0%
7.0 1
2.0%
6.9 1
2.0%
6.4 1
2.0%
6.3 1
2.0%
5.9 1
2.0%
Distinct27
Distinct (%)93.1%
Missing21
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean7.7758621
Minimum3.3
Maximum17.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:11.968130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.48
Q15.3
median6.7
Q39.2
95-th percentile13.96
Maximum17.9
Range14.6
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation3.5020051
Coefficient of variation (CV)0.45036872
Kurtosis1.1844847
Mean7.7758621
Median Absolute Deviation (MAD)1.7
Skewness1.1014951
Sum225.5
Variance12.264039
MonotonicityNot monotonic
2023-12-13T02:08:12.158152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6.5 2
 
4.0%
5.1 2
 
4.0%
8.1 1
 
2.0%
9.0 1
 
2.0%
6.7 1
 
2.0%
10.9 1
 
2.0%
8.0 1
 
2.0%
5.0 1
 
2.0%
5.9 1
 
2.0%
6.0 1
 
2.0%
Other values (17) 17
34.0%
(Missing) 21
42.0%
ValueCountFrequency (%)
3.3 1
2.0%
3.4 1
2.0%
3.6 1
2.0%
3.9 1
2.0%
5.0 1
2.0%
5.1 2
4.0%
5.3 1
2.0%
5.5 1
2.0%
5.9 1
2.0%
6.0 1
2.0%
ValueCountFrequency (%)
17.9 1
2.0%
14.0 1
2.0%
13.9 1
2.0%
11.4 1
2.0%
11.0 1
2.0%
10.9 1
2.0%
10.5 1
2.0%
9.2 1
2.0%
9.0 1
2.0%
8.8 1
2.0%

음악 연주회 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)97.8%
Missing5
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean39.731111
Minimum11.8
Maximum80.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:12.352756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.8
5-th percentile19.34
Q132.2
median38
Q345.3
95-th percentile62.26
Maximum80.2
Range68.4
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation13.444665
Coefficient of variation (CV)0.33839136
Kurtosis0.85871591
Mean39.731111
Median Absolute Deviation (MAD)7.1
Skewness0.56328297
Sum1787.9
Variance180.75901
MonotonicityNot monotonic
2023-12-13T02:08:12.516046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
32.2 2
 
4.0%
57.6 1
 
2.0%
59.3 1
 
2.0%
64.1 1
 
2.0%
45.3 1
 
2.0%
42.0 1
 
2.0%
11.8 1
 
2.0%
47.7 1
 
2.0%
32.5 1
 
2.0%
21.1 1
 
2.0%
Other values (34) 34
68.0%
(Missing) 5
 
10.0%
ValueCountFrequency (%)
11.8 1
2.0%
18.1 1
2.0%
18.9 1
2.0%
21.1 1
2.0%
24.1 1
2.0%
26.0 1
2.0%
26.6 1
2.0%
28.1 1
2.0%
28.3 1
2.0%
28.8 1
2.0%
ValueCountFrequency (%)
80.2 1
2.0%
64.1 1
2.0%
63.0 1
2.0%
59.3 1
2.0%
57.6 1
2.0%
56.8 1
2.0%
55.4 1
2.0%
54.6 1
2.0%
47.7 1
2.0%
46.8 1
2.0%
Distinct42
Distinct (%)87.5%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean37.94375
Minimum13.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:12.698854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile19.02
Q127.5
median34.85
Q343.875
95-th percentile72.695
Maximum100
Range86.8
Interquartile range (IQR)16.375

Descriptive statistics

Standard deviation17.730667
Coefficient of variation (CV)0.46728821
Kurtosis5.1022442
Mean37.94375
Median Absolute Deviation (MAD)7.75
Skewness2.0028331
Sum1821.3
Variance314.37656
MonotonicityNot monotonic
2023-12-13T02:08:12.840382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
27.5 3
 
6.0%
100.0 2
 
4.0%
29.1 2
 
4.0%
22.4 2
 
4.0%
39.4 2
 
4.0%
18.3 1
 
2.0%
33.8 1
 
2.0%
43.8 1
 
2.0%
34.6 1
 
2.0%
62.1 1
 
2.0%
Other values (32) 32
64.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
13.2 1
2.0%
18.3 1
2.0%
18.6 1
2.0%
19.8 1
2.0%
21.0 1
2.0%
22.4 2
4.0%
22.9 1
2.0%
24.7 1
2.0%
25.4 1
2.0%
26.7 1
2.0%
ValueCountFrequency (%)
100.0 2
4.0%
78.4 1
2.0%
62.1 1
2.0%
52.3 1
2.0%
50.5 1
2.0%
48.8 1
2.0%
47.4 1
2.0%
47.3 1
2.0%
45.5 1
2.0%
45.4 1
2.0%
Distinct44
Distinct (%)95.7%
Missing4
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean20.780435
Minimum5.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:12.960099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile9.275
Q115.55
median18.95
Q322.35
95-th percentile31.6
Maximum100
Range94.7
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation13.346537
Coefficient of variation (CV)0.64226458
Kurtosis28.466457
Mean20.780435
Median Absolute Deviation (MAD)3.45
Skewness4.7888006
Sum955.9
Variance178.13005
MonotonicityNot monotonic
2023-12-13T02:08:13.075741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
17.5 2
 
4.0%
20.5 2
 
4.0%
17.8 1
 
2.0%
12.9 1
 
2.0%
9.2 1
 
2.0%
22.2 1
 
2.0%
18.1 1
 
2.0%
5.3 1
 
2.0%
22.6 1
 
2.0%
17.4 1
 
2.0%
Other values (34) 34
68.0%
(Missing) 4
 
8.0%
ValueCountFrequency (%)
5.3 1
2.0%
8.8 1
2.0%
9.2 1
2.0%
9.5 1
2.0%
9.9 1
2.0%
12.9 1
2.0%
13.1 1
2.0%
13.6 1
2.0%
14.1 1
2.0%
14.7 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
32.9 1
2.0%
32.1 1
2.0%
30.1 1
2.0%
29.9 1
2.0%
26.4 1
2.0%
25.9 1
2.0%
24.6 1
2.0%
22.9 1
2.0%
22.8 1
2.0%

음악 연주회 (5점 평균 (점))
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)24.5%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.6653061
Minimum3.2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:13.459221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.3
Q13.5
median3.7
Q33.8
95-th percentile4.06
Maximum5
Range1.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.29619182
Coefficient of variation (CV)0.080809571
Kurtosis7.5946188
Mean3.6653061
Median Absolute Deviation (MAD)0.1
Skewness1.8834921
Sum179.6
Variance0.087729592
MonotonicityNot monotonic
2023-12-13T02:08:13.564800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.7 12
24.0%
3.6 9
18.0%
3.5 5
10.0%
3.4 4
 
8.0%
3.8 4
 
8.0%
3.3 4
 
8.0%
3.9 4
 
8.0%
4.0 2
 
4.0%
3.2 2
 
4.0%
4.1 1
 
2.0%
Other values (2) 2
 
4.0%
ValueCountFrequency (%)
3.2 2
 
4.0%
3.3 4
 
8.0%
3.4 4
 
8.0%
3.5 5
10.0%
3.6 9
18.0%
3.7 12
24.0%
3.8 4
 
8.0%
3.9 4
 
8.0%
4.0 2
 
4.0%
4.1 1
 
2.0%
ValueCountFrequency (%)
5.0 1
 
2.0%
4.2 1
 
2.0%
4.1 1
 
2.0%
4.0 2
 
4.0%
3.9 4
 
8.0%
3.8 4
 
8.0%
3.7 12
24.0%
3.6 9
18.0%
3.5 5
10.0%
3.4 4
 
8.0%
Distinct7
Distinct (%)77.8%
Missing41
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean2.8222222
Minimum0.7
Maximum8.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:13.675360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.9
Q11.2
median1.5
Q33.7
95-th percentile7
Maximum8.6
Range7.9
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.5366207
Coefficient of variation (CV)0.8988026
Kurtosis2.9922792
Mean2.8222222
Median Absolute Deviation (MAD)0.8
Skewness1.7181809
Sum25.4
Variance6.4344444
MonotonicityNot monotonic
2023-12-13T02:08:13.828848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.2 3
 
6.0%
1.5 1
 
2.0%
4.6 1
 
2.0%
3.7 1
 
2.0%
2.7 1
 
2.0%
8.6 1
 
2.0%
0.7 1
 
2.0%
(Missing) 41
82.0%
ValueCountFrequency (%)
0.7 1
 
2.0%
1.2 3
6.0%
1.5 1
 
2.0%
2.7 1
 
2.0%
3.7 1
 
2.0%
4.6 1
 
2.0%
8.6 1
 
2.0%
ValueCountFrequency (%)
8.6 1
 
2.0%
4.6 1
 
2.0%
3.7 1
 
2.0%
2.7 1
 
2.0%
1.5 1
 
2.0%
1.2 3
6.0%
0.7 1
 
2.0%
Distinct23
Distinct (%)92.0%
Missing25
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.868
Minimum1.9
Maximum16.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:13.952746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile2.44
Q13.6
median5.9
Q38.6
95-th percentile14.74
Maximum16.8
Range14.9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.0331667
Coefficient of variation (CV)0.58724034
Kurtosis0.56516673
Mean6.868
Median Absolute Deviation (MAD)2.3
Skewness1.0996525
Sum171.7
Variance16.266433
MonotonicityNot monotonic
2023-12-13T02:08:14.056208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.6 3
 
6.0%
14.5 1
 
2.0%
5.6 1
 
2.0%
3.2 1
 
2.0%
6.9 1
 
2.0%
5.3 1
 
2.0%
9.5 1
 
2.0%
14.8 1
 
2.0%
3.9 1
 
2.0%
11.5 1
 
2.0%
Other values (13) 13
26.0%
(Missing) 25
50.0%
ValueCountFrequency (%)
1.9 1
 
2.0%
2.4 1
 
2.0%
2.6 1
 
2.0%
3.2 1
 
2.0%
3.6 3
6.0%
3.9 1
 
2.0%
5.1 1
 
2.0%
5.2 1
 
2.0%
5.3 1
 
2.0%
5.6 1
 
2.0%
ValueCountFrequency (%)
16.8 1
2.0%
14.8 1
2.0%
14.5 1
2.0%
11.5 1
2.0%
10.1 1
2.0%
9.5 1
2.0%
8.6 1
2.0%
7.2 1
2.0%
7.1 1
2.0%
6.9 1
2.0%
Distinct41
Distinct (%)91.1%
Missing5
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean30.671111
Minimum15.2
Maximum54.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:14.174178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.2
5-th percentile18.06
Q123.8
median29.1
Q337
95-th percentile44.1
Maximum54.3
Range39.1
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation8.8434265
Coefficient of variation (CV)0.28833082
Kurtosis-0.29009263
Mean30.671111
Median Absolute Deviation (MAD)6.7
Skewness0.44752895
Sum1380.2
Variance78.206192
MonotonicityNot monotonic
2023-12-13T02:08:14.298468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
23.8 3
 
6.0%
44.1 2
 
4.0%
29.4 2
 
4.0%
31.1 1
 
2.0%
28.9 1
 
2.0%
54.3 1
 
2.0%
27.6 1
 
2.0%
17.9 1
 
2.0%
40.1 1
 
2.0%
30.7 1
 
2.0%
Other values (31) 31
62.0%
(Missing) 5
 
10.0%
ValueCountFrequency (%)
15.2 1
2.0%
17.6 1
2.0%
17.9 1
2.0%
18.7 1
2.0%
20.2 1
2.0%
20.5 1
2.0%
21.4 1
2.0%
21.8 1
2.0%
22.4 1
2.0%
23.1 1
2.0%
ValueCountFrequency (%)
54.3 1
2.0%
45.0 1
2.0%
44.1 2
4.0%
42.8 1
2.0%
42.0 1
2.0%
41.0 1
2.0%
40.6 1
2.0%
40.1 1
2.0%
39.9 1
2.0%
37.6 1
2.0%
Distinct41
Distinct (%)87.2%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean37.846809
Minimum14.4
Maximum69.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:14.407640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.4
5-th percentile19.71
Q132.75
median38.2
Q343.9
95-th percentile56.64
Maximum69.1
Range54.7
Interquartile range (IQR)11.15

Descriptive statistics

Standard deviation11.39437
Coefficient of variation (CV)0.30106555
Kurtosis0.49321912
Mean37.846809
Median Absolute Deviation (MAD)5.6
Skewness0.31100056
Sum1778.8
Variance129.83167
MonotonicityNot monotonic
2023-12-13T02:08:14.504730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
38.8 2
 
4.0%
41.8 2
 
4.0%
40.0 2
 
4.0%
38.2 2
 
4.0%
36.7 2
 
4.0%
45.4 2
 
4.0%
32.8 1
 
2.0%
55.8 1
 
2.0%
26.4 1
 
2.0%
21.6 1
 
2.0%
Other values (31) 31
62.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
14.4 1
2.0%
18.2 1
2.0%
18.9 1
2.0%
21.6 1
2.0%
21.8 1
2.0%
23.3 1
2.0%
23.9 1
2.0%
26.2 1
2.0%
26.4 1
2.0%
27.0 1
2.0%
ValueCountFrequency (%)
69.1 1
2.0%
62.3 1
2.0%
57.0 1
2.0%
55.8 1
2.0%
53.6 1
2.0%
49.7 1
2.0%
47.7 1
2.0%
47.3 1
2.0%
45.4 2
4.0%
44.8 1
2.0%
Distinct44
Distinct (%)89.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean31.530612
Minimum1.9
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:14.615144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile13.3
Q119.6
median28.9
Q335.7
95-th percentile71.6
Maximum100
Range98.1
Interquartile range (IQR)16.1

Descriptive statistics

Standard deviation19.596792
Coefficient of variation (CV)0.62151638
Kurtosis5.1172979
Mean31.530612
Median Absolute Deviation (MAD)7.7
Skewness2.0388088
Sum1545
Variance384.03425
MonotonicityNot monotonic
2023-12-13T02:08:14.721724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
19.6 3
 
6.0%
100.0 2
 
4.0%
15.0 2
 
4.0%
30.9 2
 
4.0%
15.8 1
 
2.0%
29.1 1
 
2.0%
22.2 1
 
2.0%
39.3 1
 
2.0%
17.8 1
 
2.0%
17.1 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
1.9 1
 
2.0%
5.7 1
 
2.0%
12.3 1
 
2.0%
14.8 1
 
2.0%
15.0 2
4.0%
15.3 1
 
2.0%
15.8 1
 
2.0%
17.1 1
 
2.0%
17.8 1
 
2.0%
19.6 3
6.0%
ValueCountFrequency (%)
100.0 2
4.0%
78.2 1
2.0%
61.7 1
2.0%
56.2 1
2.0%
50.6 1
2.0%
39.3 1
2.0%
38.6 1
2.0%
37.7 1
2.0%
37.4 1
2.0%
37.0 1
2.0%
Distinct13
Distinct (%)26.5%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.9530612
Minimum3.3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:14.815255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.5
Q13.7
median3.9
Q34.1
95-th percentile4.64
Maximum5
Range1.7
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.34827075
Coefficient of variation (CV)0.088101533
Kurtosis2.2781157
Mean3.9530612
Median Absolute Deviation (MAD)0.2
Skewness1.1835689
Sum193.7
Variance0.12129252
MonotonicityNot monotonic
2023-12-13T02:08:14.909159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4.0 10
20.0%
3.7 7
14.0%
3.9 6
12.0%
4.1 5
10.0%
3.8 4
 
8.0%
3.6 4
 
8.0%
4.3 3
 
6.0%
3.5 3
 
6.0%
5.0 2
 
4.0%
4.2 2
 
4.0%
Other values (3) 3
 
6.0%
ValueCountFrequency (%)
3.3 1
 
2.0%
3.5 3
 
6.0%
3.6 4
 
8.0%
3.7 7
14.0%
3.8 4
 
8.0%
3.9 6
12.0%
4.0 10
20.0%
4.1 5
10.0%
4.2 2
 
4.0%
4.3 3
 
6.0%
ValueCountFrequency (%)
5.0 2
 
4.0%
4.8 1
 
2.0%
4.4 1
 
2.0%
4.3 3
 
6.0%
4.2 2
 
4.0%
4.1 5
10.0%
4.0 10
20.0%
3.9 6
12.0%
3.8 4
 
8.0%
3.7 7
14.0%

무용 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing41
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean9.5555556
Minimum2.2
Maximum30.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:14.999992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.6
Q13.2
median5.4
Q311.6
95-th percentile24.42
Maximum30.9
Range28.7
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation9.21739
Coefficient of variation (CV)0.96461058
Kurtosis3.4518305
Mean9.5555556
Median Absolute Deviation (MAD)3.2
Skewness1.7769989
Sum86
Variance84.960278
MonotonicityNot monotonic
2023-12-13T02:08:15.074414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3.2 2
 
4.0%
5.4 1
 
2.0%
11.6 1
 
2.0%
3.4 1
 
2.0%
11.4 1
 
2.0%
14.7 1
 
2.0%
30.9 1
 
2.0%
2.2 1
 
2.0%
(Missing) 41
82.0%
ValueCountFrequency (%)
2.2 1
2.0%
3.2 2
4.0%
3.4 1
2.0%
5.4 1
2.0%
11.4 1
2.0%
11.6 1
2.0%
14.7 1
2.0%
30.9 1
2.0%
ValueCountFrequency (%)
30.9 1
2.0%
14.7 1
2.0%
11.6 1
2.0%
11.4 1
2.0%
5.4 1
2.0%
3.4 1
2.0%
3.2 2
4.0%
2.2 1
2.0%

무용 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing25
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean28.98
Minimum7.6
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:15.172689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile11.28
Q119.3
median22.5
Q332.1
95-th percentile63.68
Maximum100
Range92.4
Interquartile range (IQR)12.8

Descriptive statistics

Standard deviation19.996687
Coefficient of variation (CV)0.69001681
Kurtosis6.0666951
Mean28.98
Median Absolute Deviation (MAD)5.4
Skewness2.2764898
Sum724.5
Variance399.8675
MonotonicityNot monotonic
2023-12-13T02:08:15.287519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
22.5 2
 
4.0%
20.8 2
 
4.0%
100.0 1
 
2.0%
19.3 1
 
2.0%
18.0 1
 
2.0%
16.4 1
 
2.0%
20.0 1
 
2.0%
13.6 1
 
2.0%
33.0 1
 
2.0%
65.9 1
 
2.0%
Other values (13) 13
26.0%
(Missing) 25
50.0%
ValueCountFrequency (%)
7.6 1
2.0%
10.7 1
2.0%
13.6 1
2.0%
15.6 1
2.0%
16.4 1
2.0%
18.0 1
2.0%
19.3 1
2.0%
19.4 1
2.0%
20.0 1
2.0%
20.7 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
65.9 1
2.0%
54.8 1
2.0%
45.0 1
2.0%
41.7 1
2.0%
33.0 1
2.0%
32.1 1
2.0%
27.9 1
2.0%
26.1 1
2.0%
25.5 1
2.0%

무용 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)95.5%
Missing6
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean41.356818
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:15.426422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile21.875
Q131.4
median37.95
Q345.575
95-th percentile74.43
Maximum100
Range80
Interquartile range (IQR)14.175

Descriptive statistics

Standard deviation16.417424
Coefficient of variation (CV)0.39697019
Kurtosis3.4123258
Mean41.356818
Median Absolute Deviation (MAD)7.05
Skewness1.6554592
Sum1819.7
Variance269.53181
MonotonicityNot monotonic
2023-12-13T02:08:15.632395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
35.5 2
 
4.0%
41.6 2
 
4.0%
26.0 1
 
2.0%
41.1 1
 
2.0%
36.5 1
 
2.0%
20.3 1
 
2.0%
52.4 1
 
2.0%
34.3 1
 
2.0%
37.2 1
 
2.0%
27.2 1
 
2.0%
Other values (32) 32
64.0%
(Missing) 6
 
12.0%
ValueCountFrequency (%)
20.0 1
2.0%
20.3 1
2.0%
21.8 1
2.0%
22.3 1
2.0%
26.0 1
2.0%
27.2 1
2.0%
27.3 1
2.0%
28.4 1
2.0%
30.4 1
2.0%
30.7 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
83.3 1
2.0%
75.3 1
2.0%
69.5 1
2.0%
58.3 1
2.0%
57.3 1
2.0%
55.3 1
2.0%
53.8 1
2.0%
52.4 1
2.0%
50.9 1
2.0%

무용 약간 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)97.2%
Missing14
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean32.780556
Minimum5.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:15.787650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile9.4
Q118.95
median24.95
Q340.725
95-th percentile71.525
Maximum100
Range94.8
Interquartile range (IQR)21.775

Descriptive statistics

Standard deviation21.111159
Coefficient of variation (CV)0.64401468
Kurtosis1.9516072
Mean32.780556
Median Absolute Deviation (MAD)7.65
Skewness1.424663
Sum1180.1
Variance445.68104
MonotonicityNot monotonic
2023-12-13T02:08:15.906223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
17.9 2
 
4.0%
58.9 1
 
2.0%
10.0 1
 
2.0%
13.8 1
 
2.0%
32.8 1
 
2.0%
39.4 1
 
2.0%
66.9 1
 
2.0%
19.3 1
 
2.0%
17.4 1
 
2.0%
30.2 1
 
2.0%
Other values (25) 25
50.0%
(Missing) 14
28.0%
ValueCountFrequency (%)
5.2 1
2.0%
7.6 1
2.0%
10.0 1
2.0%
13.8 1
2.0%
16.0 1
2.0%
17.2 1
2.0%
17.4 1
2.0%
17.9 2
4.0%
19.3 1
2.0%
20.7 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
78.2 1
2.0%
69.3 1
2.0%
66.9 1
2.0%
58.9 1
2.0%
58.7 1
2.0%
46.9 1
2.0%
46.2 1
2.0%
44.7 1
2.0%
39.4 1
2.0%

무용 매우 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing19
Missing (%)38.0%
Infinite0
Infinite (%)0.0%
Mean31.922581
Minimum3.4
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:16.061663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile7.9
Q116.3
median26.6
Q339
95-th percentile82.8
Maximum100
Range96.6
Interquartile range (IQR)22.7

Descriptive statistics

Standard deviation23.191402
Coefficient of variation (CV)0.72648896
Kurtosis3.2424501
Mean31.922581
Median Absolute Deviation (MAD)10.7
Skewness1.7070552
Sum989.6
Variance537.84114
MonotonicityNot monotonic
2023-12-13T02:08:16.190948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100.0 2
 
4.0%
30.5 2
 
4.0%
34.8 1
 
2.0%
16.7 1
 
2.0%
29.5 1
 
2.0%
17.0 1
 
2.0%
15.9 1
 
2.0%
23.7 1
 
2.0%
33.8 1
 
2.0%
21.1 1
 
2.0%
Other values (19) 19
38.0%
(Missing) 19
38.0%
ValueCountFrequency (%)
3.4 1
2.0%
5.9 1
2.0%
9.9 1
2.0%
11.2 1
2.0%
13.5 1
2.0%
15.0 1
2.0%
15.7 1
2.0%
15.9 1
2.0%
16.7 1
2.0%
17.0 1
2.0%
ValueCountFrequency (%)
100.0 2
4.0%
65.6 1
2.0%
53.5 1
2.0%
49.1 1
2.0%
45.1 1
2.0%
44.8 1
2.0%
41.1 1
2.0%
36.9 1
2.0%
34.8 1
2.0%
33.8 1
2.0%

무용 5점 평균 (점)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)37.5%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean3.4770833
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:16.310869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.535
Q13.2
median3.5
Q33.8
95-th percentile4.265
Maximum5
Range3
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.59652882
Coefficient of variation (CV)0.17156012
Kurtosis0.82022181
Mean3.4770833
Median Absolute Deviation (MAD)0.3
Skewness0.16372634
Sum166.9
Variance0.35584663
MonotonicityNot monotonic
2023-12-13T02:08:16.438298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3.6 6
12.0%
3.4 4
 
8.0%
3.5 4
 
8.0%
3.3 4
 
8.0%
4.0 4
 
8.0%
3.8 3
 
6.0%
3.2 3
 
6.0%
3.7 3
 
6.0%
4.2 3
 
6.0%
2.9 2
 
4.0%
Other values (8) 12
24.0%
ValueCountFrequency (%)
2.0 1
 
2.0%
2.5 2
4.0%
2.6 2
4.0%
2.7 1
 
2.0%
2.8 1
 
2.0%
2.9 2
4.0%
3.0 2
4.0%
3.2 3
6.0%
3.3 4
8.0%
3.4 4
8.0%
ValueCountFrequency (%)
5.0 2
 
4.0%
4.3 1
 
2.0%
4.2 3
6.0%
4.0 4
8.0%
3.8 3
6.0%
3.7 3
6.0%
3.6 6
12.0%
3.5 4
8.0%
3.4 4
8.0%
3.3 4
8.0%

영화 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)48.8%
Missing7
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean2.1651163
Minimum0.1
Maximum48.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:16.555833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.6
median0.8
Q31.4
95-th percentile2.97
Maximum48.7
Range48.6
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation7.310491
Coefficient of variation (CV)3.3764888
Kurtosis41.873126
Mean2.1651163
Median Absolute Deviation (MAD)0.4
Skewness6.4336112
Sum93.1
Variance53.443278
MonotonicityNot monotonic
2023-12-13T02:08:16.682882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.8 6
12.0%
0.2 5
10.0%
0.7 4
 
8.0%
1.4 3
 
6.0%
1.0 3
 
6.0%
0.6 3
 
6.0%
1.1 3
 
6.0%
1.5 2
 
4.0%
0.3 2
 
4.0%
1.3 1
 
2.0%
Other values (11) 11
22.0%
(Missing) 7
14.0%
ValueCountFrequency (%)
0.1 1
 
2.0%
0.2 5
10.0%
0.3 2
 
4.0%
0.4 1
 
2.0%
0.6 3
6.0%
0.7 4
8.0%
0.8 6
12.0%
0.9 1
 
2.0%
1.0 3
6.0%
1.1 3
6.0%
ValueCountFrequency (%)
48.7 1
 
2.0%
4.1 1
 
2.0%
3.0 1
 
2.0%
2.7 1
 
2.0%
2.3 1
 
2.0%
2.2 1
 
2.0%
1.7 1
 
2.0%
1.5 2
4.0%
1.4 3
6.0%
1.3 1
 
2.0%

영화 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)66.7%
Missing5
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.0444444
Minimum0.5
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:16.843219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.7
Q11.7
median2.8
Q33.3
95-th percentile8.02
Maximum11.7
Range11.2
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation2.2509145
Coefficient of variation (CV)0.73935148
Kurtosis5.3079739
Mean3.0444444
Median Absolute Deviation (MAD)1
Skewness2.0806022
Sum137
Variance5.0666162
MonotonicityNot monotonic
2023-12-13T02:08:16.983608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3.1 3
 
6.0%
0.7 3
 
6.0%
2.8 3
 
6.0%
1.9 2
 
4.0%
2.9 2
 
4.0%
2.7 2
 
4.0%
0.5 2
 
4.0%
1.4 2
 
4.0%
3.0 2
 
4.0%
1.2 2
 
4.0%
Other values (20) 22
44.0%
(Missing) 5
 
10.0%
ValueCountFrequency (%)
0.5 2
4.0%
0.7 3
6.0%
1.2 2
4.0%
1.4 2
4.0%
1.5 1
 
2.0%
1.6 1
 
2.0%
1.7 2
4.0%
1.8 1
 
2.0%
1.9 2
4.0%
2.3 2
4.0%
ValueCountFrequency (%)
11.7 1
2.0%
9.3 1
2.0%
8.5 1
2.0%
6.1 1
2.0%
5.4 1
2.0%
4.7 1
2.0%
4.6 1
2.0%
4.2 1
2.0%
4.1 1
2.0%
3.6 1
2.0%

영화 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean33.412245
Minimum9.2
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:17.178855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.2
5-th percentile18.7
Q130.2
median33.8
Q337.6
95-th percentile46.32
Maximum58
Range48.8
Interquartile range (IQR)7.4

Descriptive statistics

Standard deviation8.7398902
Coefficient of variation (CV)0.26157746
Kurtosis1.8728798
Mean33.412245
Median Absolute Deviation (MAD)3.8
Skewness-0.21871284
Sum1637.2
Variance76.38568
MonotonicityNot monotonic
2023-12-13T02:08:17.347560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
28.3 2
 
4.0%
34.7 2
 
4.0%
30.3 2
 
4.0%
34.6 2
 
4.0%
41.0 1
 
2.0%
36.1 1
 
2.0%
50.9 1
 
2.0%
44.5 1
 
2.0%
35.2 1
 
2.0%
38.9 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
9.2 1
2.0%
11.2 1
2.0%
16.7 1
2.0%
21.7 1
2.0%
23.2 1
2.0%
25.3 1
2.0%
25.4 1
2.0%
26.2 1
2.0%
26.7 1
2.0%
28.3 2
4.0%
ValueCountFrequency (%)
58.0 1
2.0%
50.9 1
2.0%
46.8 1
2.0%
45.6 1
2.0%
44.5 1
2.0%
41.3 1
2.0%
41.2 1
2.0%
41.0 1
2.0%
38.9 1
2.0%
38.8 1
2.0%
Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.816
Minimum23.6
Maximum78.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:17.498976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.6
5-th percentile35.105
Q142.025
median45.4
Q349.175
95-th percentile54.42
Maximum78.1
Range54.5
Interquartile range (IQR)7.15

Descriptive statistics

Standard deviation8.5478571
Coefficient of variation (CV)0.18656926
Kurtosis5.9013865
Mean45.816
Median Absolute Deviation (MAD)3.55
Skewness1.3055428
Sum2290.8
Variance73.065861
MonotonicityNot monotonic
2023-12-13T02:08:17.673620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
49.4 3
 
6.0%
45.2 2
 
4.0%
45.4 2
 
4.0%
45.9 2
 
4.0%
53.1 1
 
2.0%
50.2 1
 
2.0%
44.4 1
 
2.0%
42.4 1
 
2.0%
29.2 1
 
2.0%
36.7 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
23.6 1
2.0%
29.2 1
2.0%
33.8 1
2.0%
36.7 1
2.0%
37.4 1
2.0%
38.4 1
2.0%
38.8 1
2.0%
40.2 1
2.0%
40.6 1
2.0%
40.7 1
2.0%
ValueCountFrequency (%)
78.1 1
2.0%
74.1 1
2.0%
55.5 1
2.0%
53.1 1
2.0%
52.2 1
2.0%
51.4 1
2.0%
51.2 1
2.0%
50.2 1
2.0%
49.9 1
2.0%
49.5 1
2.0%
Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.838
Minimum4.8
Maximum33.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:17.815936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile7.035
Q113.8
median16.75
Q319.475
95-th percentile24.645
Maximum33.5
Range28.7
Interquartile range (IQR)5.675

Descriptive statistics

Standard deviation5.490247
Coefficient of variation (CV)0.32606289
Kurtosis2.0765043
Mean16.838
Median Absolute Deviation (MAD)2.85
Skewness0.41230291
Sum841.9
Variance30.142812
MonotonicityNot monotonic
2023-12-13T02:08:17.964948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
19.7 3
 
6.0%
16.7 3
 
6.0%
21.2 2
 
4.0%
16.4 2
 
4.0%
17.3 2
 
4.0%
13.7 2
 
4.0%
11.2 2
 
4.0%
18.6 1
 
2.0%
25.5 1
 
2.0%
5.5 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
4.8 1
2.0%
5.5 1
2.0%
6.0 1
2.0%
8.3 1
2.0%
8.8 1
2.0%
10.4 1
2.0%
11.2 2
4.0%
12.8 1
2.0%
13.3 1
2.0%
13.6 1
2.0%
ValueCountFrequency (%)
33.5 1
 
2.0%
32.2 1
 
2.0%
25.5 1
 
2.0%
23.6 1
 
2.0%
21.3 1
 
2.0%
21.2 2
4.0%
20.3 1
 
2.0%
19.9 1
 
2.0%
19.7 3
6.0%
19.5 1
 
2.0%

영화 5점 평균 (점)
Real number (ℝ)

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.738
Minimum2.2
Maximum4.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:18.106353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.5
Q13.7
median3.8
Q33.8
95-th percentile4.055
Maximum4.1
Range1.9
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.25942637
Coefficient of variation (CV)0.069402453
Kurtosis25.662942
Mean3.738
Median Absolute Deviation (MAD)0.1
Skewness-4.2732612
Sum186.9
Variance0.067302041
MonotonicityNot monotonic
2023-12-13T02:08:18.280237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3.8 22
44.0%
3.7 11
22.0%
3.6 5
 
10.0%
3.9 4
 
8.0%
4.1 3
 
6.0%
3.5 3
 
6.0%
2.2 1
 
2.0%
4.0 1
 
2.0%
ValueCountFrequency (%)
2.2 1
 
2.0%
3.5 3
 
6.0%
3.6 5
 
10.0%
3.7 11
22.0%
3.8 22
44.0%
3.9 4
 
8.0%
4.0 1
 
2.0%
4.1 3
 
6.0%
ValueCountFrequency (%)
4.1 3
 
6.0%
4.0 1
 
2.0%
3.9 4
 
8.0%
3.8 22
44.0%
3.7 11
22.0%
3.6 5
 
10.0%
3.5 3
 
6.0%
2.2 1
 
2.0%

박물관 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing31
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean3.3578947
Minimum1.2
Maximum10.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:18.461378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.47
Q11.7
median2.4
Q34.2
95-th percentile7.34
Maximum10.4
Range9.2
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.3476503
Coefficient of variation (CV)0.69914351
Kurtosis3.4572673
Mean3.3578947
Median Absolute Deviation (MAD)0.9
Skewness1.7696734
Sum63.8
Variance5.511462
MonotonicityNot monotonic
2023-12-13T02:08:18.999066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.5 2
 
4.0%
1.8 2
 
4.0%
1.6 2
 
4.0%
2.3 1
 
2.0%
2.7 1
 
2.0%
2.0 1
 
2.0%
10.4 1
 
2.0%
1.2 1
 
2.0%
2.4 1
 
2.0%
5.0 1
 
2.0%
Other values (6) 6
 
12.0%
(Missing) 31
62.0%
ValueCountFrequency (%)
1.2 1
2.0%
1.5 2
4.0%
1.6 2
4.0%
1.8 2
4.0%
2.0 1
2.0%
2.3 1
2.0%
2.4 1
2.0%
2.7 1
2.0%
3.3 1
2.0%
3.7 1
2.0%
ValueCountFrequency (%)
10.4 1
2.0%
7.0 1
2.0%
5.6 1
2.0%
5.0 1
2.0%
4.5 1
2.0%
3.9 1
2.0%
3.7 1
2.0%
3.3 1
2.0%
2.7 1
2.0%
2.4 1
2.0%

박물관 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)91.7%
Missing14
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean8.4027778
Minimum2.3
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:19.123637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile4.15
Q15.975
median8.25
Q310.225
95-th percentile13.9
Maximum15.1
Range12.8
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.1012888
Coefficient of variation (CV)0.36907899
Kurtosis-0.35371631
Mean8.4027778
Median Absolute Deviation (MAD)2.2
Skewness0.31989451
Sum302.5
Variance9.6179921
MonotonicityNot monotonic
2023-12-13T02:08:19.289302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10.2 2
 
4.0%
5.7 2
 
4.0%
7.9 2
 
4.0%
10.8 1
 
2.0%
10.3 1
 
2.0%
10.5 1
 
2.0%
10.1 1
 
2.0%
13.3 1
 
2.0%
8.5 1
 
2.0%
8.8 1
 
2.0%
Other values (23) 23
46.0%
(Missing) 14
28.0%
ValueCountFrequency (%)
2.3 1
2.0%
3.7 1
2.0%
4.3 1
2.0%
4.7 1
2.0%
5.1 1
2.0%
5.4 1
2.0%
5.7 2
4.0%
5.9 1
2.0%
6.0 1
2.0%
6.1 1
2.0%
ValueCountFrequency (%)
15.1 1
2.0%
14.5 1
2.0%
13.7 1
2.0%
13.3 1
2.0%
12.4 1
2.0%
11.3 1
2.0%
10.8 1
2.0%
10.5 1
2.0%
10.3 1
2.0%
10.2 2
4.0%

박물관 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)97.9%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean32.439583
Minimum11.6
Maximum62.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:19.451902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.6
5-th percentile17.875
Q125.725
median32.2
Q337.375
95-th percentile47.97
Maximum62.7
Range51.1
Interquartile range (IQR)11.65

Descriptive statistics

Standard deviation9.802621
Coefficient of variation (CV)0.30218085
Kurtosis1.5764183
Mean32.439583
Median Absolute Deviation (MAD)5.8
Skewness0.74229245
Sum1557.1
Variance96.091379
MonotonicityNot monotonic
2023-12-13T02:08:19.622121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
28.7 2
 
4.0%
37.6 1
 
2.0%
34.7 1
 
2.0%
21.2 1
 
2.0%
62.7 1
 
2.0%
41.1 1
 
2.0%
35.5 1
 
2.0%
32.3 1
 
2.0%
21.1 1
 
2.0%
11.6 1
 
2.0%
Other values (37) 37
74.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
11.6 1
2.0%
16.9 1
2.0%
17.0 1
2.0%
19.5 1
2.0%
21.1 1
2.0%
21.2 1
2.0%
23.3 1
2.0%
23.7 1
2.0%
24.8 1
2.0%
24.9 1
2.0%
ValueCountFrequency (%)
62.7 1
2.0%
58.1 1
2.0%
50.0 1
2.0%
44.2 1
2.0%
43.2 1
2.0%
42.0 1
2.0%
41.7 1
2.0%
41.5 1
2.0%
41.1 1
2.0%
38.5 1
2.0%

박물관 약간 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)95.9%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean36.828571
Minimum16.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:19.815969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.2
5-th percentile17.58
Q128.7
median36.2
Q341.2
95-th percentile54.68
Maximum100
Range83.8
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation14.432053
Coefficient of variation (CV)0.39187112
Kurtosis7.0886395
Mean36.828571
Median Absolute Deviation (MAD)7
Skewness1.9767973
Sum1804.6
Variance208.28417
MonotonicityNot monotonic
2023-12-13T02:08:19.980560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
35.1 2
 
4.0%
37.8 2
 
4.0%
37.4 1
 
2.0%
43.7 1
 
2.0%
23.0 1
 
2.0%
21.8 1
 
2.0%
28.9 1
 
2.0%
38.4 1
 
2.0%
28.7 1
 
2.0%
43.2 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
16.2 1
2.0%
16.8 1
2.0%
17.5 1
2.0%
17.7 1
2.0%
21.8 1
2.0%
22.5 1
2.0%
23.0 1
2.0%
23.6 1
2.0%
24.7 1
2.0%
25.9 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
73.4 1
2.0%
55.6 1
2.0%
53.3 1
2.0%
52.4 1
2.0%
50.6 1
2.0%
49.4 1
2.0%
47.0 1
2.0%
45.6 1
2.0%
43.7 1
2.0%

박물관 매우 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)95.8%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean24.4125
Minimum9.7
Maximum52.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:20.179709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7
5-th percentile13.04
Q116.825
median22.35
Q327.8
95-th percentile42.355
Maximum52.2
Range42.5
Interquartile range (IQR)10.975

Descriptive statistics

Standard deviation9.9345223
Coefficient of variation (CV)0.40694408
Kurtosis0.25651205
Mean24.4125
Median Absolute Deviation (MAD)5.6
Skewness0.95108214
Sum1171.8
Variance98.694734
MonotonicityNot monotonic
2023-12-13T02:08:20.365071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
23.3 2
 
4.0%
19.6 2
 
4.0%
18.5 1
 
2.0%
16.1 1
 
2.0%
14.1 1
 
2.0%
45.4 1
 
2.0%
15.5 1
 
2.0%
24.3 1
 
2.0%
15.9 1
 
2.0%
24.8 1
 
2.0%
Other values (36) 36
72.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
9.7 1
2.0%
11.1 1
2.0%
12.9 1
2.0%
13.3 1
2.0%
13.5 1
2.0%
14.1 1
2.0%
15.5 1
2.0%
15.9 1
2.0%
16.0 1
2.0%
16.1 1
2.0%
ValueCountFrequency (%)
52.2 1
2.0%
45.4 1
2.0%
43.3 1
2.0%
40.6 1
2.0%
39.8 1
2.0%
39.4 1
2.0%
38.9 1
2.0%
38.7 1
2.0%
37.7 1
2.0%
32.2 1
2.0%

박물관 5점 평균 (점)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)20.4%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.7571429
Minimum3.3
Maximum4.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:20.487292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.5
Q13.6
median3.7
Q33.9
95-th percentile4.16
Maximum4.3
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.21984843
Coefficient of variation (CV)0.058514792
Kurtosis0.53224928
Mean3.7571429
Median Absolute Deviation (MAD)0.1
Skewness0.51334306
Sum184.1
Variance0.048333333
MonotonicityNot monotonic
2023-12-13T02:08:20.625185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3.7 14
28.0%
3.8 8
16.0%
3.6 7
14.0%
3.5 5
 
10.0%
3.9 4
 
8.0%
4.0 4
 
8.0%
4.3 2
 
4.0%
3.3 2
 
4.0%
4.1 2
 
4.0%
4.2 1
 
2.0%
(Missing) 1
 
2.0%
ValueCountFrequency (%)
3.3 2
 
4.0%
3.5 5
 
10.0%
3.6 7
14.0%
3.7 14
28.0%
3.8 8
16.0%
3.9 4
 
8.0%
4.0 4
 
8.0%
4.1 2
 
4.0%
4.2 1
 
2.0%
4.3 2
 
4.0%
ValueCountFrequency (%)
4.3 2
 
4.0%
4.2 1
 
2.0%
4.1 2
 
4.0%
4.0 4
 
8.0%
3.9 4
 
8.0%
3.8 8
16.0%
3.7 14
28.0%
3.6 7
14.0%
3.5 5
 
10.0%
3.3 2
 
4.0%

미술관 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing30
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean5.245
Minimum0.4
Maximum40.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:20.769518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.97
Q11.975
median3.25
Q35.15
95-th percentile8.78
Maximum40.7
Range40.3
Interquartile range (IQR)3.175

Descriptive statistics

Standard deviation8.5544371
Coefficient of variation (CV)1.6309699
Kurtosis17.800923
Mean5.245
Median Absolute Deviation (MAD)1.65
Skewness4.1221073
Sum104.9
Variance73.178395
MonotonicityNot monotonic
2023-12-13T02:08:20.904240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7.1 1
 
2.0%
3.8 1
 
2.0%
1.4 1
 
2.0%
2.1 1
 
2.0%
5.9 1
 
2.0%
1.5 1
 
2.0%
2.9 1
 
2.0%
1.0 1
 
2.0%
3.4 1
 
2.0%
4.9 1
 
2.0%
Other values (10) 10
 
20.0%
(Missing) 30
60.0%
ValueCountFrequency (%)
0.4 1
2.0%
1.0 1
2.0%
1.4 1
2.0%
1.5 1
2.0%
1.6 1
2.0%
2.1 1
2.0%
2.5 1
2.0%
2.9 1
2.0%
3.1 1
2.0%
3.2 1
2.0%
ValueCountFrequency (%)
40.7 1
2.0%
7.1 1
2.0%
6.4 1
2.0%
6.1 1
2.0%
5.9 1
2.0%
4.9 1
2.0%
3.8 1
2.0%
3.6 1
2.0%
3.4 1
2.0%
3.3 1
2.0%

미술관 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)91.4%
Missing15
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean8.2714286
Minimum1.3
Maximum18.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:21.052804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile2.86
Q15.55
median7.9
Q39.85
95-th percentile15.68
Maximum18.4
Range17.1
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation4.1170072
Coefficient of variation (CV)0.49773834
Kurtosis0.082917213
Mean8.2714286
Median Absolute Deviation (MAD)2
Skewness0.61275707
Sum289.5
Variance16.949748
MonotonicityNot monotonic
2023-12-13T02:08:21.211237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7.4 2
 
4.0%
8.3 2
 
4.0%
3.8 2
 
4.0%
18.4 1
 
2.0%
3.1 1
 
2.0%
9.7 1
 
2.0%
9.9 1
 
2.0%
9.2 1
 
2.0%
7.3 1
 
2.0%
14.0 1
 
2.0%
Other values (22) 22
44.0%
(Missing) 15
30.0%
ValueCountFrequency (%)
1.3 1
2.0%
2.3 1
2.0%
3.1 1
2.0%
3.5 1
2.0%
3.6 1
2.0%
3.8 2
4.0%
4.9 1
2.0%
5.2 1
2.0%
5.9 1
2.0%
6.1 1
2.0%
ValueCountFrequency (%)
18.4 1
2.0%
16.8 1
2.0%
15.2 1
2.0%
14.0 1
2.0%
13.9 1
2.0%
13.6 1
2.0%
11.2 1
2.0%
10.4 1
2.0%
9.9 1
2.0%
9.8 1
2.0%

미술관 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)95.7%
Missing4
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean30.615217
Minimum9.8
Maximum58.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:21.381672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.8
5-th percentile19.65
Q125.425
median29.4
Q334.1
95-th percentile48.85
Maximum58.7
Range48.9
Interquartile range (IQR)8.675

Descriptive statistics

Standard deviation9.2185795
Coefficient of variation (CV)0.30111102
Kurtosis1.5537436
Mean30.615217
Median Absolute Deviation (MAD)4.15
Skewness0.74548827
Sum1408.3
Variance84.982208
MonotonicityNot monotonic
2023-12-13T02:08:21.571528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
29.4 2
 
4.0%
32.1 2
 
4.0%
25.1 1
 
2.0%
49.0 1
 
2.0%
36.2 1
 
2.0%
26.4 1
 
2.0%
12.5 1
 
2.0%
31.2 1
 
2.0%
19.6 1
 
2.0%
31.6 1
 
2.0%
Other values (34) 34
68.0%
(Missing) 4
 
8.0%
ValueCountFrequency (%)
9.8 1
2.0%
12.5 1
2.0%
19.6 1
2.0%
19.8 1
2.0%
21.0 1
2.0%
23.2 1
2.0%
24.1 1
2.0%
24.6 1
2.0%
25.0 1
2.0%
25.1 1
2.0%
ValueCountFrequency (%)
58.7 1
2.0%
49.4 1
2.0%
49.0 1
2.0%
48.4 1
2.0%
41.7 1
2.0%
41.2 1
2.0%
41.1 1
2.0%
39.9 1
2.0%
36.3 1
2.0%
36.2 1
2.0%

미술관 약간 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean41.504082
Minimum11.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:21.787092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.1
5-th percentile23.44
Q131.8
median38.4
Q348.8
95-th percentile63.04
Maximum100
Range88.9
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.813957
Coefficient of variation (CV)0.38102173
Kurtosis4.4779697
Mean41.504082
Median Absolute Deviation (MAD)8.2
Skewness1.6381337
Sum2033.7
Variance250.08123
MonotonicityNot monotonic
2023-12-13T02:08:21.978403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
35.7 2
 
4.0%
29.6 2
 
4.0%
39.3 2
 
4.0%
38.4 2
 
4.0%
35.6 1
 
2.0%
49.6 1
 
2.0%
59.9 1
 
2.0%
51.0 1
 
2.0%
43.3 1
 
2.0%
25.6 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
11.1 1
2.0%
21.8 1
2.0%
22.0 1
2.0%
25.6 1
2.0%
26.7 1
2.0%
27.6 1
2.0%
27.7 1
2.0%
29.6 2
4.0%
30.2 1
2.0%
30.6 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
92.0 1
2.0%
63.6 1
2.0%
62.2 1
2.0%
59.9 1
2.0%
56.8 1
2.0%
55.3 1
2.0%
51.8 1
2.0%
51.0 1
2.0%
50.6 1
2.0%

미술관 매우 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing4
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean23.130435
Minimum3.1
Maximum42.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:22.117045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile8.55
Q116
median21.75
Q331.175
95-th percentile41.575
Maximum42.6
Range39.5
Interquartile range (IQR)15.175

Descriptive statistics

Standard deviation10.043856
Coefficient of variation (CV)0.43422688
Kurtosis-0.71234246
Mean23.130435
Median Absolute Deviation (MAD)7.15
Skewness0.25914485
Sum1064
Variance100.87905
MonotonicityNot monotonic
2023-12-13T02:08:22.264269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
16.0 2
 
4.0%
22.3 2
 
4.0%
18.4 2
 
4.0%
8.0 2
 
4.0%
42.6 1
 
2.0%
28.1 1
 
2.0%
12.9 1
 
2.0%
17.0 1
 
2.0%
27.0 1
 
2.0%
40.9 1
 
2.0%
Other values (32) 32
64.0%
(Missing) 4
 
8.0%
ValueCountFrequency (%)
3.1 1
2.0%
8.0 2
4.0%
10.2 1
2.0%
11.4 1
2.0%
12.2 1
2.0%
12.6 1
2.0%
12.7 1
2.0%
12.9 1
2.0%
14.6 1
2.0%
15.1 1
2.0%
ValueCountFrequency (%)
42.6 1
2.0%
42.1 1
2.0%
41.8 1
2.0%
40.9 1
2.0%
37.3 1
2.0%
35.7 1
2.0%
35.1 1
2.0%
32.7 1
2.0%
32.6 1
2.0%
32.1 1
2.0%

미술관 5점 평균 (점)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)20.4%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.7510204
Minimum3.1
Maximum4.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:22.413514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.4
Q13.6
median3.8
Q33.9
95-th percentile4.06
Maximum4.3
Range1.2
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.22465014
Coefficient of variation (CV)0.059890408
Kurtosis0.57151947
Mean3.7510204
Median Absolute Deviation (MAD)0.1
Skewness-0.36454779
Sum183.8
Variance0.050467687
MonotonicityNot monotonic
2023-12-13T02:08:22.534225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3.8 13
26.0%
3.9 8
16.0%
3.6 5
 
10.0%
3.7 5
 
10.0%
3.5 5
 
10.0%
4.0 5
 
10.0%
3.4 4
 
8.0%
4.1 2
 
4.0%
4.3 1
 
2.0%
3.1 1
 
2.0%
(Missing) 1
 
2.0%
ValueCountFrequency (%)
3.1 1
 
2.0%
3.4 4
 
8.0%
3.5 5
 
10.0%
3.6 5
 
10.0%
3.7 5
 
10.0%
3.8 13
26.0%
3.9 8
16.0%
4.0 5
 
10.0%
4.1 2
 
4.0%
4.3 1
 
2.0%
ValueCountFrequency (%)
4.3 1
 
2.0%
4.1 2
 
4.0%
4.0 5
 
10.0%
3.9 8
16.0%
3.8 13
26.0%
3.7 5
 
10.0%
3.6 5
 
10.0%
3.5 5
 
10.0%
3.4 4
 
8.0%
3.1 1
 
2.0%

스포츠 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)91.3%
Missing27
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean3.1086957
Minimum0.7
Maximum9.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:22.663477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.82
Q11.35
median2.8
Q33.9
95-th percentile7.97
Maximum9.5
Range8.8
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation2.253868
Coefficient of variation (CV)0.72502047
Kurtosis2.4634961
Mean3.1086957
Median Absolute Deviation (MAD)1.3
Skewness1.509005
Sum71.5
Variance5.0799209
MonotonicityNot monotonic
2023-12-13T02:08:22.789634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.1 2
 
4.0%
3.7 2
 
4.0%
3.2 1
 
2.0%
3.8 1
 
2.0%
0.8 1
 
2.0%
2.0 1
 
2.0%
9.5 1
 
2.0%
1.3 1
 
2.0%
2.1 1
 
2.0%
4.1 1
 
2.0%
Other values (11) 11
22.0%
(Missing) 27
54.0%
ValueCountFrequency (%)
0.7 1
2.0%
0.8 1
2.0%
1.0 1
2.0%
1.1 2
4.0%
1.3 1
2.0%
1.4 1
2.0%
1.8 1
2.0%
2.0 1
2.0%
2.1 1
2.0%
2.3 1
2.0%
ValueCountFrequency (%)
9.5 1
2.0%
8.3 1
2.0%
5.0 1
2.0%
4.8 1
2.0%
4.1 1
2.0%
4.0 1
2.0%
3.8 1
2.0%
3.7 2
4.0%
3.2 1
2.0%
3.0 1
2.0%

스포츠 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)86.5%
Missing13
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean12.140541
Minimum2.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:22.920455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.88
Q15.3
median9.1
Q311.5
95-th percentile24.94
Maximum100
Range97.9
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation16.445659
Coefficient of variation (CV)1.3546068
Kurtosis23.83122
Mean12.140541
Median Absolute Deviation (MAD)3.7
Skewness4.6034791
Sum449.2
Variance270.4597
MonotonicityNot monotonic
2023-12-13T02:08:23.041996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4.6 3
 
6.0%
5.7 2
 
4.0%
10.1 2
 
4.0%
5.4 2
 
4.0%
6.3 1
 
2.0%
2.1 1
 
2.0%
18.0 1
 
2.0%
11.0 1
 
2.0%
8.4 1
 
2.0%
15.0 1
 
2.0%
Other values (22) 22
44.0%
(Missing) 13
26.0%
ValueCountFrequency (%)
2.1 1
 
2.0%
2.8 1
 
2.0%
2.9 1
 
2.0%
4.3 1
 
2.0%
4.5 1
 
2.0%
4.6 3
6.0%
5.1 1
 
2.0%
5.3 1
 
2.0%
5.4 2
4.0%
5.7 2
4.0%
ValueCountFrequency (%)
100.0 1
2.0%
41.5 1
2.0%
20.8 1
2.0%
18.0 1
2.0%
17.8 1
2.0%
16.6 1
2.0%
15.0 1
2.0%
12.7 1
2.0%
12.3 1
2.0%
11.5 1
2.0%

스포츠 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)89.4%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean38.880851
Minimum3.9
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:23.197702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile16.97
Q132.15
median37.8
Q343.9
95-th percentile62.04
Maximum100
Range96.1
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation14.79807
Coefficient of variation (CV)0.38060047
Kurtosis5.9820997
Mean38.880851
Median Absolute Deviation (MAD)6.1
Skewness1.4015625
Sum1827.4
Variance218.98289
MonotonicityNot monotonic
2023-12-13T02:08:23.342369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
47.7 2
 
4.0%
37.9 2
 
4.0%
31.3 2
 
4.0%
32.6 2
 
4.0%
30.7 2
 
4.0%
30.4 1
 
2.0%
23.9 1
 
2.0%
41.5 1
 
2.0%
32.7 1
 
2.0%
26.2 1
 
2.0%
Other values (32) 32
64.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
3.9 1
2.0%
13.4 1
2.0%
14.0 1
2.0%
23.9 1
2.0%
26.2 1
2.0%
27.4 1
2.0%
30.4 1
2.0%
30.7 2
4.0%
31.3 2
4.0%
31.7 1
2.0%
ValueCountFrequency (%)
100.0 1
2.0%
68.5 1
2.0%
63.0 1
2.0%
59.8 1
2.0%
54.8 1
2.0%
50.7 1
2.0%
47.7 2
4.0%
47.5 1
2.0%
46.0 1
2.0%
44.5 1
2.0%

스포츠 약간 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)93.5%
Missing4
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean34.334783
Minimum2.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:23.479122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile15.3
Q127.2
median31.7
Q338.15
95-th percentile48.775
Maximum100
Range97.2
Interquartile range (IQR)10.95

Descriptive statistics

Standard deviation17.222172
Coefficient of variation (CV)0.50159549
Kurtosis8.0905925
Mean34.334783
Median Absolute Deviation (MAD)5.95
Skewness2.2835005
Sum1579.4
Variance296.60321
MonotonicityNot monotonic
2023-12-13T02:08:23.630796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
31.4 2
 
4.0%
31.2 2
 
4.0%
100.0 2
 
4.0%
19.9 1
 
2.0%
36.5 1
 
2.0%
27.8 1
 
2.0%
34.2 1
 
2.0%
36.2 1
 
2.0%
42.9 1
 
2.0%
21.8 1
 
2.0%
Other values (33) 33
66.0%
(Missing) 4
 
8.0%
ValueCountFrequency (%)
2.8 1
2.0%
9.0 1
2.0%
14.1 1
2.0%
18.9 1
2.0%
19.9 1
2.0%
20.4 1
2.0%
20.8 1
2.0%
21.1 1
2.0%
21.8 1
2.0%
22.9 1
2.0%
ValueCountFrequency (%)
100.0 2
4.0%
49.0 1
2.0%
48.1 1
2.0%
46.6 1
2.0%
45.8 1
2.0%
44.1 1
2.0%
42.9 1
2.0%
41.5 1
2.0%
39.9 1
2.0%
39.4 1
2.0%

스포츠 매우 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)91.1%
Missing5
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean23.831111
Minimum3.6
Maximum67.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:23.799306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile9.26
Q117.2
median20.7
Q328.7
95-th percentile44.7
Maximum67.9
Range64.3
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation12.638862
Coefficient of variation (CV)0.53035134
Kurtosis2.4808812
Mean23.831111
Median Absolute Deviation (MAD)6.5
Skewness1.3205951
Sum1072.4
Variance159.74083
MonotonicityNot monotonic
2023-12-13T02:08:23.940068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
19.0 3
 
6.0%
27.2 2
 
4.0%
20.4 2
 
4.0%
53.6 1
 
2.0%
24.5 1
 
2.0%
27.4 1
 
2.0%
19.6 1
 
2.0%
14.3 1
 
2.0%
17.0 1
 
2.0%
3.6 1
 
2.0%
Other values (31) 31
62.0%
(Missing) 5
 
10.0%
ValueCountFrequency (%)
3.6 1
2.0%
8.0 1
2.0%
9.2 1
2.0%
9.5 1
2.0%
9.7 1
2.0%
9.8 1
2.0%
11.7 1
2.0%
12.2 1
2.0%
13.0 1
2.0%
14.3 1
2.0%
ValueCountFrequency (%)
67.9 1
2.0%
53.6 1
2.0%
45.1 1
2.0%
43.1 1
2.0%
40.7 1
2.0%
39.9 1
2.0%
38.3 1
2.0%
33.9 1
2.0%
32.7 1
2.0%
30.7 1
2.0%
Distinct12
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.636
Minimum2
Maximum4.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:24.083015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q13.5
median3.7
Q33.8
95-th percentile4.055
Maximum4.6
Range2.6
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.35442394
Coefficient of variation (CV)0.09747633
Kurtosis9.1375425
Mean3.636
Median Absolute Deviation (MAD)0.2
Skewness-1.6908343
Sum181.8
Variance0.12561633
MonotonicityNot monotonic
2023-12-13T02:08:24.595288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.7 13
26.0%
3.5 6
12.0%
3.6 6
12.0%
3.8 5
 
10.0%
3.3 5
 
10.0%
3.9 4
 
8.0%
4.0 3
 
6.0%
3.4 3
 
6.0%
4.1 2
 
4.0%
4.6 1
 
2.0%
Other values (2) 2
 
4.0%
ValueCountFrequency (%)
2.0 1
 
2.0%
3.0 1
 
2.0%
3.3 5
 
10.0%
3.4 3
 
6.0%
3.5 6
12.0%
3.6 6
12.0%
3.7 13
26.0%
3.8 5
 
10.0%
3.9 4
 
8.0%
4.0 3
 
6.0%
ValueCountFrequency (%)
4.6 1
 
2.0%
4.1 2
 
4.0%
4.0 3
 
6.0%
3.9 4
 
8.0%
3.8 5
 
10.0%
3.7 13
26.0%
3.6 6
12.0%
3.5 6
12.0%
3.4 3
 
6.0%
3.3 5
 
10.0%

기타 매우 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing41
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean17.133333
Minimum6.7
Maximum56.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:24.796507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile7.1
Q17.7
median11.2
Q314.3
95-th percentile44.48
Maximum56.6
Range49.9
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation15.946708
Coefficient of variation (CV)0.93074172
Kurtosis5.6386162
Mean17.133333
Median Absolute Deviation (MAD)3.5
Skewness2.3301206
Sum154.2
Variance254.2975
MonotonicityNot monotonic
2023-12-13T02:08:24.954624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7.7 2
 
4.0%
10.0 1
 
2.0%
56.6 1
 
2.0%
13.7 1
 
2.0%
14.3 1
 
2.0%
26.3 1
 
2.0%
6.7 1
 
2.0%
11.2 1
 
2.0%
(Missing) 41
82.0%
ValueCountFrequency (%)
6.7 1
2.0%
7.7 2
4.0%
10.0 1
2.0%
11.2 1
2.0%
13.7 1
2.0%
14.3 1
2.0%
26.3 1
2.0%
56.6 1
2.0%
ValueCountFrequency (%)
56.6 1
2.0%
26.3 1
2.0%
14.3 1
2.0%
13.7 1
2.0%
11.2 1
2.0%
10.0 1
2.0%
7.7 2
4.0%
6.7 1
2.0%

기타 약간 불만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing31
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean36.1
Minimum4.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:25.083092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile7.32
Q114.25
median25.2
Q344.1
95-th percentile100
Maximum100
Range95.2
Interquartile range (IQR)29.85

Descriptive statistics

Standard deviation31.706624
Coefficient of variation (CV)0.87829983
Kurtosis0.53768713
Mean36.1
Median Absolute Deviation (MAD)16.2
Skewness1.2716776
Sum685.9
Variance1005.31
MonotonicityNot monotonic
2023-12-13T02:08:25.221657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
100.0 3
 
6.0%
43.4 2
 
4.0%
50.3 1
 
2.0%
25.2 1
 
2.0%
9.0 1
 
2.0%
19.1 1
 
2.0%
15.2 1
 
2.0%
16.8 1
 
2.0%
44.8 1
 
2.0%
4.8 1
 
2.0%
Other values (6) 6
 
12.0%
(Missing) 31
62.0%
ValueCountFrequency (%)
4.8 1
2.0%
7.6 1
2.0%
9.0 1
2.0%
10.8 1
2.0%
13.7 1
2.0%
14.8 1
2.0%
15.2 1
2.0%
16.8 1
2.0%
19.1 1
2.0%
25.2 1
2.0%
ValueCountFrequency (%)
100.0 3
6.0%
50.3 1
 
2.0%
44.8 1
 
2.0%
43.4 2
4.0%
40.9 1
 
2.0%
26.1 1
 
2.0%
25.2 1
 
2.0%
19.1 1
 
2.0%
16.8 1
 
2.0%
15.2 1
 
2.0%

기타 보통 (퍼센트)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)80.0%
Missing15
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean52.374286
Minimum3.9
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:25.365942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile22.1
Q133.05
median48.7
Q361.65
95-th percentile100
Maximum100
Range96.1
Interquartile range (IQR)28.6

Descriptive statistics

Standard deviation25.938256
Coefficient of variation (CV)0.49524793
Kurtosis-0.3560924
Mean52.374286
Median Absolute Deviation (MAD)14.6
Skewness0.60350137
Sum1833.1
Variance672.79314
MonotonicityNot monotonic
2023-12-13T02:08:25.516548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.0 5
 
10.0%
30.4 2
 
4.0%
39.1 2
 
4.0%
48.7 2
 
4.0%
59.0 1
 
2.0%
25.0 1
 
2.0%
43.0 1
 
2.0%
20.0 1
 
2.0%
54.4 1
 
2.0%
25.4 1
 
2.0%
Other values (18) 18
36.0%
(Missing) 15
30.0%
ValueCountFrequency (%)
3.9 1
2.0%
20.0 1
2.0%
23.0 1
2.0%
25.0 1
2.0%
25.4 1
2.0%
27.9 1
2.0%
30.4 2
4.0%
32.0 1
2.0%
34.1 1
2.0%
36.0 1
2.0%
ValueCountFrequency (%)
100.0 5
10.0%
86.5 1
 
2.0%
83.2 1
 
2.0%
65.4 1
 
2.0%
63.3 1
 
2.0%
60.0 1
 
2.0%
59.0 1
 
2.0%
57.7 1
 
2.0%
55.7 1
 
2.0%
54.4 1
 
2.0%

기타 약간 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)89.2%
Missing13
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean50.027027
Minimum13.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:25.663054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.5
5-th percentile17.32
Q133.1
median46.2
Q360.9
95-th percentile100
Maximum100
Range86.5
Interquartile range (IQR)27.8

Descriptive statistics

Standard deviation24.257045
Coefficient of variation (CV)0.48487881
Kurtosis-0.1133449
Mean50.027027
Median Absolute Deviation (MAD)14.7
Skewness0.68104667
Sum1851
Variance588.40425
MonotonicityNot monotonic
2023-12-13T02:08:25.826936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
100.0 4
 
8.0%
26.2 2
 
4.0%
55.2 1
 
2.0%
41.0 1
 
2.0%
52.9 1
 
2.0%
20.6 1
 
2.0%
42.2 1
 
2.0%
80.0 1
 
2.0%
30.4 1
 
2.0%
47.8 1
 
2.0%
Other values (23) 23
46.0%
(Missing) 13
26.0%
ValueCountFrequency (%)
13.5 1
2.0%
15.4 1
2.0%
17.8 1
2.0%
20.6 1
2.0%
22.1 1
2.0%
26.2 2
4.0%
29.6 1
2.0%
30.4 1
2.0%
33.1 1
2.0%
35.2 1
2.0%
ValueCountFrequency (%)
100.0 4
8.0%
80.0 1
 
2.0%
73.7 1
 
2.0%
70.1 1
 
2.0%
68.0 1
 
2.0%
65.9 1
 
2.0%
60.9 1
 
2.0%
60.5 1
 
2.0%
59.1 1
 
2.0%
56.1 1
 
2.0%

기타 매우 만족 (퍼센트)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing41
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean19.533333
Minimum6.9
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:25.942042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile8.22
Q113
median14.6
Q316.8
95-th percentile46.64
Maximum63
Range56.1
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation16.832038
Coefficient of variation (CV)0.86170843
Kurtosis7.4635083
Mean19.533333
Median Absolute Deviation (MAD)2.2
Skewness2.6502976
Sum175.8
Variance283.3175
MonotonicityNot monotonic
2023-12-13T02:08:26.051745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10.2 1
 
2.0%
13.0 1
 
2.0%
16.8 1
 
2.0%
14.0 1
 
2.0%
14.6 1
 
2.0%
63.0 1
 
2.0%
6.9 1
 
2.0%
15.2 1
 
2.0%
22.1 1
 
2.0%
(Missing) 41
82.0%
ValueCountFrequency (%)
6.9 1
2.0%
10.2 1
2.0%
13.0 1
2.0%
14.0 1
2.0%
14.6 1
2.0%
15.2 1
2.0%
16.8 1
2.0%
22.1 1
2.0%
63.0 1
2.0%
ValueCountFrequency (%)
63.0 1
2.0%
22.1 1
2.0%
16.8 1
2.0%
15.2 1
2.0%
14.6 1
2.0%
14.0 1
2.0%
13.0 1
2.0%
10.2 1
2.0%
6.9 1
2.0%

기타 5점 평균 (점)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)34.0%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean3.2531915
Minimum2
Maximum4.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-13T02:08:26.166823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.09
Q13
median3.2
Q33.6
95-th percentile4
Maximum4.6
Range2.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.54487775
Coefficient of variation (CV)0.16749022
Kurtosis0.69400358
Mean3.2531915
Median Absolute Deviation (MAD)0.3
Skewness-0.36989153
Sum152.9
Variance0.29689177
MonotonicityNot monotonic
2023-12-13T02:08:26.319996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3.2 6
12.0%
4.0 5
10.0%
3.0 5
10.0%
3.1 4
8.0%
3.6 4
8.0%
3.4 4
8.0%
3.5 4
8.0%
2.0 3
6.0%
2.8 3
6.0%
3.7 2
 
4.0%
Other values (6) 7
14.0%
(Missing) 3
6.0%
ValueCountFrequency (%)
2.0 3
6.0%
2.3 1
 
2.0%
2.5 1
 
2.0%
2.7 1
 
2.0%
2.8 3
6.0%
3.0 5
10.0%
3.1 4
8.0%
3.2 6
12.0%
3.3 2
 
4.0%
3.4 4
8.0%
ValueCountFrequency (%)
4.6 1
 
2.0%
4.0 5
10.0%
3.8 1
 
2.0%
3.7 2
 
4.0%
3.6 4
8.0%
3.5 4
8.0%
3.4 4
8.0%
3.3 2
 
4.0%
3.2 6
12.0%
3.1 4
8.0%

Sample

특성별(1)특성별(2)음악 연주회 매우 불만족 (퍼센트)음악 연주회 약간 불만족 (퍼센트)음악 연주회 보통 (퍼센트)음악 연주회 약간 만족 (퍼센트)음악 연주회 매우 만족 (퍼센트)음악 연주회 (5점 평균 (점))연극 마당극 뮤지컬 매우 불만족 (퍼센트)연극 마당극 뮤지컬 약간 불만족 (퍼센트)연극 마당극 뮤지컬 보통 (퍼센트)연극 마당극 뮤지컬 약간 만족 (퍼센트)연극 마당극 뮤지컬 매우 만족 (퍼센트)연극 마당극 뮤지컬 5점 평균 (점)무용 매우 불만족 (퍼센트)무용 약간 불만족 (퍼센트)무용 보통 (퍼센트)무용 약간 만족 (퍼센트)무용 매우 만족 (퍼센트)무용 5점 평균 (점)영화 매우 불만족 (퍼센트)영화 약간 불만족 (퍼센트)영화 보통 (퍼센트)영화 약간 만족 (퍼센트)영화 매우 만족 (퍼센트)영화 5점 평균 (점)박물관 매우 불만족 (퍼센트)박물관 약간 불만족 (퍼센트)박물관 보통 (퍼센트)박물관 약간 만족 (퍼센트)박물관 매우 만족 (퍼센트)박물관 5점 평균 (점)미술관 매우 불만족 (퍼센트)미술관 약간 불만족 (퍼센트)미술관 보통 (퍼센트)미술관 약간 만족 (퍼센트)미술관 매우 만족 (퍼센트)미술관 5점 평균 (점)스포츠 매우 불만족 (퍼센트)스포츠 약간 불만족 (퍼센트)스포츠 보통 (퍼센트)스포츠 약간 만족 (퍼센트)스포츠 매우 만족 (퍼센트)스포츠 5점 평균 (점)기타 매우 불만족 (퍼센트)기타 약간 불만족 (퍼센트)기타 보통 (퍼센트)기타 약간 만족 (퍼센트)기타 매우 만족 (퍼센트)기타 5점 평균 (점)
0군구별중구<NA><NA><NA>100.0<NA>4.0<NA><NA><NA><NA>100.05.0<NA><NA><NA><NA><NA><NA><NA><NA>41.053.16.03.6<NA><NA>16.973.49.73.9<NA><NA><NA>92.08.04.1<NA><NA><NA>100.0<NA>4.0<NA><NA><NA>100.0<NA>4.0
1군구별동구<NA><NA>55.427.517.13.6<NA><NA>40.638.221.23.8<NA><NA>100.0<NA><NA>3.0<NA>9.338.838.413.63.6<NA>4.337.647.011.13.6<NA>4.949.431.014.63.65.010.736.828.419.03.5<NA><NA>63.336.7<NA>3.4
2군구별미추홀구<NA><NA>24.143.832.14.1<NA><NA>24.014.461.74.4<NA><NA>20.038.941.14.20.6<NA>21.744.233.54.1<NA>2.319.525.952.24.3<NA><NA>9.848.441.84.3<NA><NA>3.928.267.94.6<NA><NA><NA><NA><NA><NA>
3군구별연수구<NA>14.018.950.516.63.7<NA>5.918.749.725.74.0<NA>24.628.446.9<NA>3.21.01.616.748.532.24.1<NA>6.124.855.613.53.8<NA>11.219.856.812.23.7<NA>17.837.227.517.53.4<NA>44.8<NA>55.2<NA>3.1
4군구별남동구5.03.937.639.414.13.5<NA>6.633.045.415.03.7<NA>54.845.2<NA><NA>2.51.03.146.838.810.43.5<NA>5.735.936.921.63.7<NA>5.241.111.142.63.9<NA>2.843.519.933.93.8<NA><NA>34.165.9<NA>3.7
5군구별부평구6.47.945.118.322.43.41.57.137.634.119.63.65.432.157.35.2<NA>2.60.75.434.746.512.83.75.013.741.523.616.23.34.98.639.930.616.03.44.89.639.336.59.83.410.0<NA>57.722.110.23.2
6군구별계양구<NA><NA><NA>100.0<NA>4.0<NA><NA><NA>21.878.24.8<NA><NA><NA>100.0<NA>4.0<NA><NA>9.274.116.74.1<NA><NA>29.453.317.33.9<NA><NA>25.063.611.43.9<NA><NA><NA>100.0<NA>4.0<NA><NA><NA><NA><NA><NA>
7군구별서구<NA><NA>43.935.820.33.8<NA><NA>28.838.832.44.0<NA><NA>34.4<NA>65.64.30.81.738.543.115.93.7<NA>8.032.037.822.13.7<NA>9.827.430.232.63.9<NA>2.947.737.711.73.6<NA><NA>60.040.0<NA>3.4
8군구별강화군<NA><NA><NA>78.421.64.2<NA><NA><NA>69.130.94.3<NA><NA><NA><NA>100.05.048.711.711.223.64.82.2<NA><NA>25.834.539.84.140.7<NA><NA>27.631.83.1<NA>20.832.646.6<NA>3.3<NA>100.0<NA><NA><NA>2.0
9군구별옹진군<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>58.033.88.33.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100.0<NA><NA>3.0<NA><NA><NA><NA><NA><NA>
특성별(1)특성별(2)음악 연주회 매우 불만족 (퍼센트)음악 연주회 약간 불만족 (퍼센트)음악 연주회 보통 (퍼센트)음악 연주회 약간 만족 (퍼센트)음악 연주회 매우 만족 (퍼센트)음악 연주회 (5점 평균 (점))연극 마당극 뮤지컬 매우 불만족 (퍼센트)연극 마당극 뮤지컬 약간 불만족 (퍼센트)연극 마당극 뮤지컬 보통 (퍼센트)연극 마당극 뮤지컬 약간 만족 (퍼센트)연극 마당극 뮤지컬 매우 만족 (퍼센트)연극 마당극 뮤지컬 5점 평균 (점)무용 매우 불만족 (퍼센트)무용 약간 불만족 (퍼센트)무용 보통 (퍼센트)무용 약간 만족 (퍼센트)무용 매우 만족 (퍼센트)무용 5점 평균 (점)영화 매우 불만족 (퍼센트)영화 약간 불만족 (퍼센트)영화 보통 (퍼센트)영화 약간 만족 (퍼센트)영화 매우 만족 (퍼센트)영화 5점 평균 (점)박물관 매우 불만족 (퍼센트)박물관 약간 불만족 (퍼센트)박물관 보통 (퍼센트)박물관 약간 만족 (퍼센트)박물관 매우 만족 (퍼센트)박물관 5점 평균 (점)미술관 매우 불만족 (퍼센트)미술관 약간 불만족 (퍼센트)미술관 보통 (퍼센트)미술관 약간 만족 (퍼센트)미술관 매우 만족 (퍼센트)미술관 5점 평균 (점)스포츠 매우 불만족 (퍼센트)스포츠 약간 불만족 (퍼센트)스포츠 보통 (퍼센트)스포츠 약간 만족 (퍼센트)스포츠 매우 만족 (퍼센트)스포츠 5점 평균 (점)기타 매우 불만족 (퍼센트)기타 약간 불만족 (퍼센트)기타 보통 (퍼센트)기타 약간 만족 (퍼센트)기타 매우 만족 (퍼센트)기타 5점 평균 (점)
40주거형태별연립/다세대주택<NA>8.028.845.517.73.7<NA>9.528.147.714.83.7<NA>16.432.317.433.83.70.93.230.345.919.73.8<NA>6.233.837.822.23.8<NA>3.132.248.816.03.8<NA>12.330.736.720.33.7<NA><NA>32.068.0<NA>3.7
41주거형태별기타14.3<NA>18.148.818.83.68.6<NA>20.538.232.73.930.9<NA>38.930.2<NA>2.7<NA><NA>41.337.421.33.810.45.928.736.218.93.55.9<NA>29.429.635.13.99.5<NA>14.022.953.64.1<NA><NA>39.160.9<NA>3.6
42주거점유형태별자가2.06.533.637.420.53.70.75.327.935.230.93.92.220.830.422.923.73.50.72.733.144.818.73.82.09.332.134.022.53.72.18.328.033.727.93.82.09.137.932.019.03.67.719.125.447.8<NA>3.1
43주거점유형태별전세<NA><NA>32.247.420.53.9<NA><NA>41.044.015.03.7<NA><NA>69.5<NA>30.53.61.01.429.051.217.33.8<NA><NA>38.445.616.03.8<NA><NA>27.549.223.24.0<NA><NA>27.434.438.34.1<NA><NA>54.430.415.23.6
44주거점유형태별월세 및 기타8.3<NA>63.013.215.43.3<NA><NA>21.440.038.64.2<NA><NA>41.358.7<NA>3.62.33.437.043.613.73.6<NA>4.717.035.043.34.2<NA>7.434.355.33.13.5<NA><NA>47.530.821.83.7<NA><NA>100.0<NA><NA>3.0
45가구원수별1인<NA><NA>54.622.422.93.7<NA><NA>20.257.022.84.0<NA><NA>21.878.2<NA>3.80.32.926.249.421.23.9<NA><NA>36.624.738.74.01.4<NA>29.650.618.43.80.8<NA>46.020.432.73.8<NA><NA>100.0<NA><NA>3.0
46가구원수별2인<NA>10.932.347.39.53.6<NA>6.928.962.31.93.6<NA>18.041.624.515.93.40.23.631.148.017.23.8<NA>15.133.231.620.03.6<NA>18.429.826.725.13.6<NA>5.423.949.021.73.9<NA><NA>20.080.0<NA>3.8
47가구원수별3인<NA><NA>44.639.815.53.7<NA>3.231.132.733.14.0<NA>22.538.122.417.03.31.72.430.348.117.43.81.810.232.841.913.33.5<NA>7.324.647.520.63.83.85.730.439.420.73.7<NA>9.048.742.2<NA>3.3
48가구원수별4인6.36.726.035.125.93.71.25.628.229.435.73.93.219.327.320.729.53.50.61.936.640.720.33.82.77.923.738.727.13.83.85.927.031.831.53.81.110.939.631.217.23.511.225.243.020.6<NA>2.7
49가구원수별5인 이상<NA>9.042.829.119.13.6<NA><NA>39.936.723.43.8<NA><NA>83.3<NA>16.73.31.53.334.649.411.23.7<NA><NA>50.026.723.33.7<NA><NA>41.735.922.53.8<NA>5.350.714.129.93.7<NA><NA>25.052.922.14.0