Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells4
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory62.9 B

Variable types

Categorical4
Numeric3

Dataset

Description제주특별자치도 제주시 관내 영화 상영관 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056297/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
영화관명 is highly overall correlated with 설립연도 and 1 other fieldsHigh correlation
소재지 is highly overall correlated with 설립연도 and 2 other fieldsHigh correlation
설립연도 is highly overall correlated with 영화관명 and 1 other fieldsHigh correlation
상영관면적 is highly overall correlated with 객석수High correlation
객석수 is highly overall correlated with 상영관면적 and 1 other fieldsHigh correlation
설립연도 has 1 (2.9%) missing valuesMissing
상영관면적 has 3 (8.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:55:45.770164
Analysis finished2023-12-12 14:55:47.236566
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영화관명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
씨지브이 제주
7 
메가박스 제주
6 
CGV 제주노형
6 
롯데시네마제주 아라점
6 
롯데시네마제주 삼화점
5 
Other values (3)
4 

Length

Max length11
Median length8
Mean length8.5588235
Min length7

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row메가박스 제주
2nd row메가박스 제주
3rd row메가박스 제주
4th row메가박스 제주
5th row메가박스 제주

Common Values

ValueCountFrequency (%)
씨지브이 제주 7
20.6%
메가박스 제주 6
17.6%
CGV 제주노형 6
17.6%
롯데시네마제주 아라점 6
17.6%
롯데시네마제주 삼화점 5
14.7%
한림 작은영화관 2
 
5.9%
제주자동차극장 1
 
2.9%
영화문화예술센터 1
 
2.9%

Length

2023-12-12T23:55:47.332713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:47.473099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 13
19.7%
롯데시네마제주 11
16.7%
씨지브이 7
10.6%
메가박스 6
9.1%
cgv 6
9.1%
제주노형 6
9.1%
아라점 6
9.1%
삼화점 5
 
7.6%
한림 2
 
3.0%
작은영화관 2
 
3.0%
Other values (2) 2
 
3.0%

소재지
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
제주특별자치도 제주시 서광로 288
7 
제주특별자치도 제주시 노형로 407
6 
제주특별자치도 제주시 구산로 4
6 
제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)
5 
제주특별자치도 제주시 삼봉로 11
5 
Other values (4)
5 

Length

Max length41
Median length19
Mean length22.558824
Min length17

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row제주특별자치도 제주시 중앙로14길 18 (삼도이동)
2nd row제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)
3rd row제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)
4th row제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)
5th row제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)

Common Values

ValueCountFrequency (%)
제주특별자치도 제주시 서광로 288 7
20.6%
제주특별자치도 제주시 노형로 407 6
17.6%
제주특별자치도 제주시 구산로 4 6
17.6%
제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주) 5
14.7%
제주특별자치도 제주시 삼봉로 11 5
14.7%
제주특별자치도 제주시 한림읍 한림리 887-2 2
 
5.9%
제주특별자치도 제주시 중앙로14길 18 (삼도이동) 1
 
2.9%
제주특별자치도 제주시 도공로 136 1
 
2.9%
제주특별자치도 제주시 중앙로5길 6 1
 
2.9%

Length

2023-12-12T23:55:47.613764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:47.741075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 34
21.4%
제주시 34
21.4%
서광로 7
 
4.4%
288 7
 
4.4%
4 6
 
3.8%
18 6
 
3.8%
중앙로14길 6
 
3.8%
삼도이동 6
 
3.8%
구산로 6
 
3.8%
407 6
 
3.8%
Other values (13) 41
25.8%

상영관별
Categorical

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
1관
8 
2관
6 
3관
5 
5관
5 
6관
4 
Other values (2)
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1관
2nd row2관
3rd row3관
4th row5관
5th row6관

Common Values

ValueCountFrequency (%)
1관 8
23.5%
2관 6
17.6%
3관 5
14.7%
5관 5
14.7%
6관 4
11.8%
4관 4
11.8%
7관 2
 
5.9%

Length

2023-12-12T23:55:47.896696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:48.028891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1관 8
23.5%
2관 6
17.6%
3관 5
14.7%
5관 5
14.7%
6관 4
11.8%
4관 4
11.8%
7관 2
 
5.9%

설립연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.2%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean2010.7273
Minimum2005
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T23:55:48.154571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2005
Q12006
median2009
Q32013
95-th percentile2019.2
Maximum2021
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3925454
Coefficient of variation (CV)0.002681888
Kurtosis-1.1086221
Mean2010.7273
Median Absolute Deviation (MAD)4
Skewness0.5619619
Sum66354
Variance29.079545
MonotonicityIncreasing
2023-12-12T23:55:48.273006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2006 7
20.6%
2005 6
17.6%
2009 6
17.6%
2013 6
17.6%
2018 6
17.6%
2021 2
 
5.9%
(Missing) 1
 
2.9%
ValueCountFrequency (%)
2005 6
17.6%
2006 7
20.6%
2009 6
17.6%
2013 6
17.6%
2018 6
17.6%
2021 2
 
5.9%
ValueCountFrequency (%)
2021 2
 
5.9%
2018 6
17.6%
2013 6
17.6%
2009 6
17.6%
2006 7
20.6%
2005 6
17.6%

상영관면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)83.9%
Missing3
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean185.82419
Minimum106
Maximum348.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T23:55:48.424175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile119.05
Q1130.15
median179.4
Q3223.95
95-th percentile297.675
Maximum348.8
Range242.8
Interquartile range (IQR)93.8

Descriptive statistics

Standard deviation62.775976
Coefficient of variation (CV)0.33782456
Kurtosis0.45518887
Mean185.82419
Median Absolute Deviation (MAD)47.7
Skewness0.95579896
Sum5760.55
Variance3940.8231
MonotonicityNot monotonic
2023-12-12T23:55:48.570046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
188.0 4
 
11.8%
132.8 2
 
5.9%
127.5 2
 
5.9%
246.1 1
 
2.9%
260.0 1
 
2.9%
106.0 1
 
2.9%
330.65 1
 
2.9%
123.4 1
 
2.9%
246.8 1
 
2.9%
179.4 1
 
2.9%
Other values (16) 16
47.1%
(Missing) 3
 
8.8%
ValueCountFrequency (%)
106.0 1
2.9%
117.8 1
2.9%
120.3 1
2.9%
123.4 1
2.9%
126.7 1
2.9%
126.9 1
2.9%
127.5 2
5.9%
132.8 2
5.9%
144.1 1
2.9%
148.8 1
2.9%
ValueCountFrequency (%)
348.8 1
2.9%
330.65 1
2.9%
264.7 1
2.9%
260.6 1
2.9%
260.0 1
2.9%
246.8 1
2.9%
246.1 1
2.9%
227.1 1
2.9%
220.8 1
2.9%
196.9 1
2.9%

객석수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.52941
Minimum30
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T23:55:49.071615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile50.05
Q185.25
median111
Q3140.25
95-th percentile281.5
Maximum380
Range350
Interquartile range (IQR)55

Descriptive statistics

Standard deviation75.340936
Coefficient of variation (CV)0.59077302
Kurtosis4.224798
Mean127.52941
Median Absolute Deviation (MAD)26
Skewness1.915648
Sum4336
Variance5676.2567
MonotonicityNot monotonic
2023-12-12T23:55:49.217353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
85 2
 
5.9%
110 2
 
5.9%
82 2
 
5.9%
114 2
 
5.9%
56 2
 
5.9%
30 1
 
2.9%
214 1
 
2.9%
95 1
 
2.9%
200 1
 
2.9%
116 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
30 1
2.9%
39 1
2.9%
56 2
5.9%
59 1
2.9%
82 2
5.9%
85 2
5.9%
86 1
2.9%
95 1
2.9%
97 1
2.9%
98 1
2.9%
ValueCountFrequency (%)
380 1
2.9%
340 1
2.9%
250 1
2.9%
214 1
2.9%
200 1
2.9%
176 1
2.9%
149 1
2.9%
143 1
2.9%
142 1
2.9%
135 1
2.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2021-08-20
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-20
2nd row2021-08-20
3rd row2021-08-20
4th row2021-08-20
5th row2021-08-20

Common Values

ValueCountFrequency (%)
2021-08-20 34
100.0%

Length

2023-12-12T23:55:49.374565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:49.500390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-20 34
100.0%

Interactions

2023-12-12T23:55:46.641429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.037693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.367327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.728742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.142658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.457885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.827989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.237574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:55:46.543110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:55:49.581661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영화관명소재지상영관별설립연도상영관면적객석수
영화관명1.0001.0000.0001.0000.5030.704
소재지1.0001.0000.0001.0000.5880.907
상영관별0.0000.0001.0000.0000.0000.000
설립연도1.0001.0000.0001.0000.6360.602
상영관면적0.5030.5880.0000.6361.0000.878
객석수0.7040.9070.0000.6020.8781.000
2023-12-12T23:55:49.729203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영화관명상영관별소재지
영화관명1.0000.0000.981
상영관별0.0001.0000.000
소재지0.9810.0001.000
2023-12-12T23:55:49.854920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립연도상영관면적객석수영화관명소재지상영관별
설립연도1.0000.264-0.2100.9640.9450.000
상영관면적0.2641.0000.7310.2820.3460.000
객석수-0.2100.7311.0000.4270.5200.000
영화관명0.9640.2820.4271.0000.9810.000
소재지0.9450.3460.5200.9811.0000.000
상영관별0.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T23:55:46.938782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:55:47.075565image/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.
2023-12-12T23:55:47.184811image/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

영화관명소재지상영관별설립연도상영관면적객석수데이터기준일자
0메가박스 제주제주특별자치도 제주시 중앙로14길 18 (삼도이동)1관2005348.83402021-08-20
1메가박스 제주제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)2관2005170.21282021-08-20
2메가박스 제주제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)3관2005117.8982021-08-20
3메가박스 제주제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)5관2005132.81102021-08-20
4메가박스 제주제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)6관2005120.3862021-08-20
5메가박스 제주제주특별자치도 제주시 중앙로14길 18, 5층 (삼도이동, 메가박스 제주)7관2005132.81102021-08-20
6씨지브이 제주제주특별자치도 제주시 서광로 2881관2006126.9822021-08-20
7씨지브이 제주제주특별자치도 제주시 서광로 2882관2006148.8972021-08-20
8씨지브이 제주제주특별자치도 제주시 서광로 2883관2006175.61142021-08-20
9씨지브이 제주제주특별자치도 제주시 서광로 2884관2006127.5852021-08-20
영화관명소재지상영관별설립연도상영관면적객석수데이터기준일자
24롯데시네마제주 아라점제주특별자치도 제주시 구산로 46관2013330.652002021-08-20
25롯데시네마제주 삼화점제주특별자치도 제주시 삼봉로 111관2018188.01142021-08-20
26롯데시네마제주 삼화점제주특별자치도 제주시 삼봉로 112관2018188.01162021-08-20
27롯데시네마제주 삼화점제주특별자치도 제주시 삼봉로 113관2018188.0562021-08-20
28롯데시네마제주 삼화점제주특별자치도 제주시 삼봉로 114관2018188.0562021-08-20
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