Overview

Dataset statistics

Number of variables25
Number of observations30
Missing cells87
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory213.3 B

Variable types

Categorical12
Text3
Numeric8
Boolean1
DateTime1

Dataset

Description전북특별자치도 산림환경연구소에서 실시한 프로그램 관련 정보.1. 시설이용 정보 - 시설명, 최대신청가능인원, 접수기간, 시작날짜, 이용기간방식, 등록일시 등 정보 포함.2. 전시물관리 정보 - 대분류구분번호, 소분류명, 구분번호, 등록일시 등 정보 포함3. 전시물관리2 정보 - 구분번호, 순서, 대분류명, 등록일시 등 정보 포함.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15067748/fileData.do

Alerts

전시물관리 소분류 has constant value ""Constant
등록일시(전시물관리) has constant value ""Constant
기간사용여부 is highly imbalanced (77.1%)Imbalance
프로그램명 has 3 (10.0%) missing valuesMissing
최대신청가능인원 has 3 (10.0%) missing valuesMissing
최대인원 has 3 (10.0%) missing valuesMissing
기간사용여부 has 3 (10.0%) missing valuesMissing
시작날짜 has 3 (10.0%) missing valuesMissing
색인번호(전시물관리2) has 18 (60.0%) missing valuesMissing
구분번호(전시물관리2) has 18 (60.0%) missing valuesMissing
순서(전시물관리2) has 18 (60.0%) missing valuesMissing
대분류명(전시물관리2) has 18 (60.0%) missing valuesMissing
색인번호(전시물관리) has unique valuesUnique
구분번호(전시물관리) has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:44:29.647422
Analysis finished2024-03-14 23:44:30.211038
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
대아수목원
22 
산림박물관
5 
<NA>
3 

Length

Max length5
Median length5
Mean length4.9
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대아수목원 22
73.3%
산림박물관 5
 
16.7%
<NA> 3
 
10.0%

Length

2024-03-15T08:44:30.433337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:30.814655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대아수목원 22
73.3%
산림박물관 5
 
16.7%
na 3
 
10.0%

그룹구분
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
7
19 
10
4 
<NA>
3 
8
2 
6
 
1

Length

Max length4
Median length1
Mean length1.4333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row8
2nd row7
3rd row6
4th row7
5th row7

Common Values

ValueCountFrequency (%)
7 19
63.3%
10 4
 
13.3%
<NA> 3
 
10.0%
8 2
 
6.7%
6 1
 
3.3%
9 1
 
3.3%

Length

2024-03-15T08:44:31.230752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:31.589834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 19
63.3%
10 4
 
13.3%
na 3
 
10.0%
8 2
 
6.7%
6 1
 
3.3%
9 1
 
3.3%

프로그램명
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing3
Missing (%)10.0%
Memory size368.0 B
2024-03-15T08:44:32.430174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length13.333333
Min length3

Characters and Unicode

Total characters360
Distinct characters95
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

Unique25 ?
Unique (%)92.6%

Sample

1st row유아숲체험원
2nd row거울 만들기
3rd row숲해설
4th row산림문화체험교실
5th row토피어리 만들기
ValueCountFrequency (%)
만들기 8
 
12.5%
꾸미기 5
 
7.8%
목공예 3
 
4.7%
한지 3
 
4.7%
맞이 2
 
3.1%
원예 2
 
3.1%
만들기2 2
 
3.1%
화분 2
 
3.1%
생태체험(콜크 2
 
3.1%
체험(나무팽이 2
 
3.1%
Other values (32) 33
51.6%
2024-03-15T08:44:33.737101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
10.3%
체 24
 
6.7%
험 23
 
6.4%
) 20
 
5.6%
( 20
 
5.6%
기 18
 
5.0%
들 12
 
3.3%
만 12
 
3.3%
미 10
 
2.8%
예 8
 
2.2%
Other values (85) 176
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
78.1%
Space Separator 37
 
10.3%
Close Punctuation 20
 
5.6%
Open Punctuation 20
 
5.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 24
 
8.5%
험 23
 
8.2%
기 18
 
6.4%
들 12
 
4.3%
만 12
 
4.3%
미 10
 
3.6%
예 8
 
2.8%
무 6
 
2.1%
지 6
 
2.1%
이 6
 
2.1%
Other values (81) 156
55.5%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
78.1%
Common 79
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 24
 
8.5%
험 23
 
8.2%
기 18
 
6.4%
들 12
 
4.3%
만 12
 
4.3%
미 10
 
3.6%
예 8
 
2.8%
무 6
 
2.1%
지 6
 
2.1%
이 6
 
2.1%
Other values (81) 156
55.5%
Common
ValueCountFrequency (%)
37
46.8%
) 20
25.3%
( 20
25.3%
2 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
78.1%
ASCII 79
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
46.8%
) 20
25.3%
( 20
25.3%
2 2
 
2.5%
Hangul
ValueCountFrequency (%)
체 24
 
8.5%
험 23
 
8.2%
기 18
 
6.4%
들 12
 
4.3%
만 12
 
4.3%
미 10
 
3.6%
예 8
 
2.8%
무 6
 
2.1%
지 6
 
2.1%
이 6
 
2.1%
Other values (81) 156
55.5%

최대신청가능인원
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)22.2%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean45.37037
Minimum20
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:33.927327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median20
Q325
95-th percentile57
Maximum600
Range580
Interquartile range (IQR)5

Descriptive statistics

Standard deviation111.24234
Coefficient of variation (CV)2.4518719
Kurtosis26.567991
Mean45.37037
Median Absolute Deviation (MAD)0
Skewness5.1379708
Sum1225
Variance12374.858
MonotonicityNot monotonic
2024-03-15T08:44:34.187017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20 18
60.0%
25 5
 
16.7%
50 1
 
3.3%
60 1
 
3.3%
600 1
 
3.3%
30 1
 
3.3%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
20 18
60.0%
25 5
 
16.7%
30 1
 
3.3%
50 1
 
3.3%
60 1
 
3.3%
600 1
 
3.3%
ValueCountFrequency (%)
600 1
 
3.3%
60 1
 
3.3%
50 1
 
3.3%
30 1
 
3.3%
25 5
 
16.7%
20 18
60.0%

최대인원
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)22.2%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean63.703704
Minimum20
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:34.528512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median25
Q380
95-th percentile100
Maximum600
Range580
Interquartile range (IQR)60

Descriptive statistics

Standard deviation112.10051
Coefficient of variation (CV)1.7597173
Kurtosis22.026045
Mean63.703704
Median Absolute Deviation (MAD)5
Skewness4.5176962
Sum1720
Variance12566.524
MonotonicityNot monotonic
2024-03-15T08:44:34.867602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20 13
43.3%
100 6
20.0%
25 4
 
13.3%
50 2
 
6.7%
60 1
 
3.3%
600 1
 
3.3%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
20 13
43.3%
25 4
 
13.3%
50 2
 
6.7%
60 1
 
3.3%
100 6
20.0%
600 1
 
3.3%
ValueCountFrequency (%)
600 1
 
3.3%
100 6
20.0%
60 1
 
3.3%
50 2
 
6.7%
25 4
 
13.3%
20 13
43.3%

기간사용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)7.4%
Missing3
Missing (%)10.0%
Memory size188.0 B
True
26 
False
 
1
(Missing)
3 
ValueCountFrequency (%)
True 26
86.7%
False 1
 
3.3%
(Missing) 3
 
10.0%
2024-03-15T08:44:35.171641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

접수기간
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2019-03-15
8 
2018-04-28
4 
2020-03-09
3 
2018-04-14
3 
<NA>
3 
Other values (7)
9 

Length

Max length10
Median length10
Mean length9.4
Min length4

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row2020-03-09
2nd row2017-04-20
3rd row2020-03-09
4th row2020-03-09
5th row2017-04-20

Common Values

ValueCountFrequency (%)
2019-03-15 8
26.7%
2018-04-28 4
13.3%
2020-03-09 3
 
10.0%
2018-04-14 3
 
10.0%
<NA> 3
 
10.0%
2017-04-20 2
 
6.7%
2019-03-12 2
 
6.7%
1999-01-01 1
 
3.3%
2019-04-29 1
 
3.3%
2019-07-15 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2024-03-15T08:44:35.355290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-03-15 8
26.7%
2018-04-28 4
13.3%
2020-03-09 3
 
10.0%
2018-04-14 3
 
10.0%
na 3
 
10.0%
2017-04-20 2
 
6.7%
2019-03-12 2
 
6.7%
1999-01-01 1
 
3.3%
2019-04-29 1
 
3.3%
2019-07-15 1
 
3.3%
Other values (2) 2
 
6.7%

시작날짜
Date

MISSING 

Distinct15
Distinct (%)55.6%
Missing3
Missing (%)10.0%
Memory size368.0 B
Minimum2017-10-29 00:00:00
Maximum2099-12-31 00:00:00
2024-03-15T08:44:35.690715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:44:36.060744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

이용기간방식
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
요일
19 
특정일
8 
<NA>
3 

Length

Max length4
Median length2
Mean length2.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요일 19
63.3%
특정일 8
26.7%
<NA> 3
 
10.0%

Length

2024-03-15T08:44:36.463150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:36.761934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요일 19
63.3%
특정일 8
26.7%
na 3
 
10.0%

등록일시
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2019-03-15
8 
2017-11-02
5 
2018-04-27
4 
2018-04-11
3 
<NA>
3 
Other values (6)
7 

Length

Max length10
Median length10
Mean length9.4
Min length4

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row2017-11-01
2nd row2017-11-02
3rd row2017-10-26
4th row2017-10-26
5th row2017-11-02

Common Values

ValueCountFrequency (%)
2019-03-15 8
26.7%
2017-11-02 5
16.7%
2018-04-27 4
13.3%
2018-04-11 3
 
10.0%
<NA> 3
 
10.0%
2017-10-26 2
 
6.7%
2017-11-01 1
 
3.3%
2018-04-10 1
 
3.3%
2018-04-24 1
 
3.3%
2018-07-10 1
 
3.3%

Length

2024-03-15T08:44:36.986548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-03-15 8
26.7%
2017-11-02 5
16.7%
2018-04-27 4
13.3%
2018-04-11 3
 
10.0%
na 3
 
10.0%
2017-10-26 2
 
6.7%
2017-11-01 1
 
3.3%
2018-04-10 1
 
3.3%
2018-04-24 1
 
3.3%
2018-07-10 1
 
3.3%

전시물관리 소분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
전시물관리 소분류
30 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전시물관리 소분류
2nd row전시물관리 소분류
3rd row전시물관리 소분류
4th row전시물관리 소분류
5th row전시물관리 소분류

Common Values

ValueCountFrequency (%)
전시물관리 소분류 30
100.0%

Length

2024-03-15T08:44:37.280459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:37.449074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시물관리 30
50.0%
소분류 30
50.0%

색인번호(전시물관리)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:37.616980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-15T08:44:37.991086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

대분류구분번호
Real number (ℝ)

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5666667
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:38.358520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5.5
Q310.25
95-th percentile12
Maximum12
Range10
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation3.6073042
Coefficient of variation (CV)0.54933567
Kurtosis-1.2121392
Mean6.5666667
Median Absolute Deviation (MAD)2
Skewness0.5478192
Sum197
Variance13.012644
MonotonicityNot monotonic
2024-03-15T08:44:38.587877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 8
26.7%
12 7
23.3%
2 3
 
10.0%
6 3
 
10.0%
8 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
11 1
 
3.3%
ValueCountFrequency (%)
2 3
 
10.0%
3 2
 
6.7%
4 8
26.7%
5 2
 
6.7%
6 3
 
10.0%
7 2
 
6.7%
8 2
 
6.7%
11 1
 
3.3%
12 7
23.3%
ValueCountFrequency (%)
12 7
23.3%
11 1
 
3.3%
8 2
 
6.7%
7 2
 
6.7%
6 3
 
10.0%
5 2
 
6.7%
4 8
26.7%
3 2
 
6.7%
2 3
 
10.0%

소분류명
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-15T08:44:39.301773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.8333333
Min length2

Characters and Unicode

Total characters85
Distinct characters59
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 (%)86.7%

Sample

1st row목재
2nd row박물관소품
3rd row액자
4th row표어
5th row탁자
ValueCountFrequency (%)
목재 2
 
6.7%
기타 2
 
6.7%
죽세공품 1
 
3.3%
석재 1
 
3.3%
야생동물박제 1
 
3.3%
조류 1
 
3.3%
토사 1
 
3.3%
약용 1
 
3.3%
버섯 1
 
3.3%
식물 1
 
3.3%
Other values (18) 18
60.0%
2024-03-15T08:44:40.290868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 5
 
5.9%
목 3
 
3.5%
물 3
 
3.5%
생 3
 
3.5%
재 3
 
3.5%
류 3
 
3.5%
공 2
 
2.4%
야 2
 
2.4%
화 2
 
2.4%
사 2
 
2.4%
Other values (49) 57
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
96.5%
Uppercase Letter 3
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 5
 
6.1%
목 3
 
3.7%
물 3
 
3.7%
생 3
 
3.7%
재 3
 
3.7%
류 3
 
3.7%
공 2
 
2.4%
야 2
 
2.4%
화 2
 
2.4%
사 2
 
2.4%
Other values (46) 54
65.9%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
V 1
33.3%
C 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
96.5%
Latin 3
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 5
 
6.1%
목 3
 
3.7%
물 3
 
3.7%
생 3
 
3.7%
재 3
 
3.7%
류 3
 
3.7%
공 2
 
2.4%
야 2
 
2.4%
화 2
 
2.4%
사 2
 
2.4%
Other values (46) 54
65.9%
Latin
ValueCountFrequency (%)
P 1
33.3%
V 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
96.5%
ASCII 3
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 5
 
6.1%
목 3
 
3.7%
물 3
 
3.7%
생 3
 
3.7%
재 3
 
3.7%
류 3
 
3.7%
공 2
 
2.4%
야 2
 
2.4%
화 2
 
2.4%
사 2
 
2.4%
Other values (46) 54
65.9%
ASCII
ValueCountFrequency (%)
P 1
33.3%
V 1
33.3%
C 1
33.3%

구분번호(전시물관리)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.63333
Minimum201
Maximum1207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:40.517438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile202.45
Q1403.25
median551.5
Q31026.25
95-th percentile1205.55
Maximum1207
Range1006
Interquartile range (IQR)623

Descriptive statistics

Standard deviation360.96179
Coefficient of variation (CV)0.54721581
Kurtosis-1.2053961
Mean659.63333
Median Absolute Deviation (MAD)200
Skewness0.55014441
Sum19789
Variance130293.41
MonotonicityNot monotonic
2024-03-15T08:44:40.767581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201 1
 
3.3%
501 1
 
3.3%
203 1
 
3.3%
202 1
 
3.3%
302 1
 
3.3%
301 1
 
3.3%
408 1
 
3.3%
407 1
 
3.3%
406 1
 
3.3%
405 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
201 1
3.3%
202 1
3.3%
203 1
3.3%
301 1
3.3%
302 1
3.3%
401 1
3.3%
402 1
3.3%
403 1
3.3%
404 1
3.3%
405 1
3.3%
ValueCountFrequency (%)
1207 1
3.3%
1206 1
3.3%
1205 1
3.3%
1204 1
3.3%
1203 1
3.3%
1202 1
3.3%
1201 1
3.3%
1101 1
3.3%
802 1
3.3%
801 1
3.3%

등록일시(전시물관리)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2017-11-07
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-11-07
2nd row2017-11-07
3rd row2017-11-07
4th row2017-11-07
5th row2017-11-07

Common Values

ValueCountFrequency (%)
2017-11-07 30
100.0%

Length

2024-03-15T08:44:41.174280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:41.489992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-11-07 30
100.0%

수정일시
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2017-11-07
23 
2017-11-08
7 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-11-07
2nd row2017-11-08
3rd row2017-11-08
4th row2017-11-08
5th row2017-11-08

Common Values

ValueCountFrequency (%)
2017-11-07 23
76.7%
2017-11-08 7
 
23.3%

Length

2024-03-15T08:44:41.840984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:42.161870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-11-07 23
76.7%
2017-11-08 7
 
23.3%

전시물관리2 대분류
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
<NA>
18 
전시물관리 대분류
12 

Length

Max length9
Median length4
Mean length6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전시물관리 대분류
2nd row전시물관리 대분류
3rd row전시물관리 대분류
4th row전시물관리 대분류
5th row전시물관리 대분류

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
전시물관리 대분류 12
40.0%

Length

2024-03-15T08:44:42.516350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:42.816882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
42.9%
전시물관리 12
28.6%
대분류 12
28.6%

색인번호(전시물관리2)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:43.181700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13.75
median6.5
Q39.25
95-th percentile11.45
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.6055513
Coefficient of variation (CV)0.5547002
Kurtosis-1.2
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum78
Variance13
MonotonicityStrictly increasing
2024-03-15T08:44:43.394078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 18
60.0%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
12 1
3.3%
11 1
3.3%
10 1
3.3%
9 1
3.3%
8 1
3.3%
7 1
3.3%
6 1
3.3%
5 1
3.3%
4 1
3.3%
3 1
3.3%

구분번호(전시물관리2)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:43.694060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13.75
median6.5
Q39.25
95-th percentile11.45
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.6055513
Coefficient of variation (CV)0.5547002
Kurtosis-1.2
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum78
Variance13
MonotonicityStrictly increasing
2024-03-15T08:44:44.056568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 18
60.0%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
12 1
3.3%
11 1
3.3%
10 1
3.3%
9 1
3.3%
8 1
3.3%
7 1
3.3%
6 1
3.3%
5 1
3.3%
4 1
3.3%
3 1
3.3%

순서(전시물관리2)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-15T08:44:44.557242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13.75
median6.5
Q39.25
95-th percentile11.45
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.6055513
Coefficient of variation (CV)0.5547002
Kurtosis-1.2
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum78
Variance13
MonotonicityStrictly increasing
2024-03-15T08:44:44.750159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 18
60.0%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
12 1
3.3%
11 1
3.3%
10 1
3.3%
9 1
3.3%
8 1
3.3%
7 1
3.3%
6 1
3.3%
5 1
3.3%
4 1
3.3%
3 1
3.3%

대분류명(전시물관리2)
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Memory size368.0 B
2024-03-15T08:44:45.376442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length3.0833333
Min length2

Characters and Unicode

Total characters37
Distinct characters32
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

Unique12 ?
Unique (%)100.0%

Sample

1st row공예품
2nd row임산물
3rd row박제류
4th row표본류
5th row사진
ValueCountFrequency (%)
공예품 1
8.3%
임산물 1
8.3%
박제류 1
8.3%
표본류 1
8.3%
사진 1
8.3%
민속생활용품 1
8.3%
모형 1
8.3%
소품류 1
8.3%
패널 1
8.3%
야외전시물 1
8.3%
Other values (2) 2
16.7%
2024-03-15T08:44:46.652755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 3
 
8.1%
품 3
 
8.1%
물 2
 
5.4%
전 1
 
2.7%
소 1
 
2.7%
패 1
 
2.7%
널 1
 
2.7%
야 1
 
2.7%
외 1
 
2.7%
공 1
 
2.7%
Other values (22) 22
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 3
 
8.1%
품 3
 
8.1%
물 2
 
5.4%
전 1
 
2.7%
소 1
 
2.7%
패 1
 
2.7%
널 1
 
2.7%
야 1
 
2.7%
외 1
 
2.7%
공 1
 
2.7%
Other values (22) 22
59.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 3
 
8.1%
품 3
 
8.1%
물 2
 
5.4%
전 1
 
2.7%
소 1
 
2.7%
패 1
 
2.7%
널 1
 
2.7%
야 1
 
2.7%
외 1
 
2.7%
공 1
 
2.7%
Other values (22) 22
59.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 3
 
8.1%
품 3
 
8.1%
물 2
 
5.4%
전 1
 
2.7%
소 1
 
2.7%
패 1
 
2.7%
널 1
 
2.7%
야 1
 
2.7%
외 1
 
2.7%
공 1
 
2.7%
Other values (22) 22
59.5%

등록일시(전시물관리2)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
<NA>
18 
2017-11-07
12 

Length

Max length10
Median length4
Mean length6.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-11-07
2nd row2017-11-07
3rd row2017-11-07
4th row2017-11-07
5th row2017-11-07

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
2017-11-07 12
40.0%

Length

2024-03-15T08:44:47.083104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:47.401421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
2017-11-07 12
40.0%

등록ip주소(전시물관리2)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
<NA>
18 
121.126.239.145
12 

Length

Max length15
Median length4
Mean length8.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row121.126.239.145
2nd row121.126.239.145
3rd row121.126.239.145
4th row121.126.239.145
5th row121.126.239.145

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
121.126.239.145 12
40.0%

Length

2024-03-15T08:44:47.589865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:47.861095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
121.126.239.145 12
40.0%

수정일시(전시물관리2)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
<NA>
18 
2017-11-07
11 
2017-11-08
 
1

Length

Max length10
Median length4
Mean length6.4
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2017-11-07
2nd row2017-11-07
3rd row2017-11-07
4th row2017-11-07
5th row2017-11-07

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
2017-11-07 11
36.7%
2017-11-08 1
 
3.3%

Length

2024-03-15T08:44:48.227486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:44:48.510754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
2017-11-07 11
36.7%
2017-11-08 1
 
3.3%

Sample

시설그룹구분프로그램명최대신청가능인원최대인원기간사용여부접수기간시작날짜이용기간방식등록일시전시물관리 소분류색인번호(전시물관리)대분류구분번호소분류명구분번호(전시물관리)등록일시(전시물관리)수정일시전시물관리2 대분류색인번호(전시물관리2)구분번호(전시물관리2)순서(전시물관리2)대분류명(전시물관리2)등록일시(전시물관리2)등록ip주소(전시물관리2)수정일시(전시물관리2)
0대아수목원8유아숲체험원5050Y2020-03-092020-11-30요일2017-11-01전시물관리 소분류12목재2012017-11-072017-11-07전시물관리 대분류111공예품2017-11-07121.126.239.1452017-11-07
1대아수목원7거울 만들기2525Y2017-04-202017-10-29요일2017-11-02전시물관리 소분류212박물관소품12012017-11-072017-11-08전시물관리 대분류222임산물2017-11-07121.126.239.1452017-11-07
2대아수목원6숲해설6060Y2020-03-092020-10-31요일2017-10-26전시물관리 소분류312액자12022017-11-072017-11-08전시물관리 대분류333박제류2017-11-07121.126.239.1452017-11-07
3대아수목원7산림문화체험교실2020Y2020-03-092020-10-31요일2017-10-26전시물관리 소분류412표어12032017-11-072017-11-08전시물관리 대분류444표본류2017-11-07121.126.239.1452017-11-07
4대아수목원7토피어리 만들기2525Y2017-04-202017-10-29요일2017-11-02전시물관리 소분류512탁자12042017-11-072017-11-08전시물관리 대분류555사진2017-11-07121.126.239.1452017-11-07
5산림박물관9단체관람600600N1999-01-012099-12-31요일2017-11-02전시물관리 소분류612체험소품12052017-11-072017-11-08전시물관리 대분류666민속생활용품2017-11-07121.126.239.1452017-11-07
6산림박물관10봄철 숲 체험학습2550Y2019-03-122019-05-03요일2017-11-02전시물관리 소분류712영상장비12062017-11-072017-11-08전시물관리 대분류777모형2017-11-07121.126.239.1452017-11-07
7산림박물관10문화가 있는 날 체험운영2525Y2019-03-122019-11-27요일2017-11-02전시물관리 소분류812기타12072017-11-072017-11-08전시물관리 대분류888소품류2017-11-07121.126.239.1452017-11-07
8대아수목원7목공예 체험(나무팽이 만들기)2020Y2019-03-152019-10-24요일2018-04-10전시물관리 소분류911서적류11012017-11-072017-11-07전시물관리 대분류999패널2017-11-07121.126.239.1452017-11-07
9대아수목원7생태체험(석고방향제만들기)2020Y2018-04-142018-08-02요일2018-04-11전시물관리 소분류108나무8012017-11-072017-11-07전시물관리 대분류101010야외전시물2017-11-07121.126.239.1452017-11-07
시설그룹구분프로그램명최대신청가능인원최대인원기간사용여부접수기간시작날짜이용기간방식등록일시전시물관리 소분류색인번호(전시물관리)대분류구분번호소분류명구분번호(전시물관리)등록일시(전시물관리)수정일시전시물관리2 대분류색인번호(전시물관리2)구분번호(전시물관리2)순서(전시물관리2)대분류명(전시물관리2)등록일시(전시물관리2)등록ip주소(전시물관리2)수정일시(전시물관리2)
20대아수목원7목공예 체험(나무팽이 만들기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류214식물4032017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
21대아수목원7원예 체험(카네이션바구니 만들기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류224버섯4042017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
22대아수목원7염색공예 체험(에코백 꾸미기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류234약용4052017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
23대아수목원7한지 체험(한지고무신(남아) 꾸미기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류244목재4062017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
24대아수목원7한지 체험(한지고무신(여아) 꾸미기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류254토사4072017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
25대아수목원7한지 체험(한지 손거울 꾸미기)2020Y2019-03-152019-10-24특정일2019-03-15전시물관리 소분류264기타4082017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
26대아수목원8찾아가는 유아숲체험20100Y2020-08-012020-12-19요일2019-12-06전시물관리 소분류273조류3012017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전시물관리 소분류283야생동물박제3022017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전시물관리 소분류292석재2022017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>
29<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전시물관리 소분류302화석2032017-11-072017-11-07<NA><NA><NA><NA><NA><NA><NA><NA>