Overview

Dataset statistics

Number of variables7
Number of observations28
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory62.7 B

Variable types

Text4
DateTime1
Numeric2

Dataset

Description전라남도 지정 관광지 현황에 대한 데이터로 관광지명, 위치, 관광지 지정일, 면적 등 7개 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15081178/fileData.do

Alerts

관광지 지정 면적_제곱미터 is highly overall correlated with 조성계획 면적(제곱미터)High correlation
조성계획 면적(제곱미터) is highly overall correlated with 관광지 지정 면적_제곱미터High correlation
조성계획 면적(제곱미터) has 1 (3.6%) missing valuesMissing
관광지명 has unique valuesUnique
위치 has unique valuesUnique
관광지 지정 면적_제곱미터 has unique valuesUnique

Reproduction

Analysis started2023-10-09 18:52:18.426222
Analysis finished2023-10-09 18:52:20.506485
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Text

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-10-10T03:52:20.737764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters84
Distinct characters29
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

Unique10 ?
Unique (%)35.7%

Sample

1st row나주시
2nd row담양군
3rd row곡성군
4th row구례군
5th row보성군
ValueCountFrequency (%)
영암군 4
14.3%
진도군 3
10.7%
화순군 3
10.7%
해남군 2
 
7.1%
장성군 2
 
7.1%
보성군 2
 
7.1%
완도군 2
 
7.1%
담양군 1
 
3.6%
무안군 1
 
3.6%
함평군 1
 
3.6%
Other values (7) 7
25.0%
2023-10-10T03:52:21.270297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 27
32.1%
영 5
 
6.0%
도 5
 
6.0%
성 5
 
6.0%
진 4
 
4.8%
암 4
 
4.8%
순 3
 
3.6%
화 3
 
3.6%
장 3
 
3.6%
해 2
 
2.4%
Other values (19) 23
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 27
32.1%
영 5
 
6.0%
도 5
 
6.0%
성 5
 
6.0%
진 4
 
4.8%
암 4
 
4.8%
순 3
 
3.6%
화 3
 
3.6%
장 3
 
3.6%
해 2
 
2.4%
Other values (19) 23
27.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 27
32.1%
영 5
 
6.0%
도 5
 
6.0%
성 5
 
6.0%
진 4
 
4.8%
암 4
 
4.8%
순 3
 
3.6%
화 3
 
3.6%
장 3
 
3.6%
해 2
 
2.4%
Other values (19) 23
27.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 27
32.1%
영 5
 
6.0%
도 5
 
6.0%
성 5
 
6.0%
진 4
 
4.8%
암 4
 
4.8%
순 3
 
3.6%
화 3
 
3.6%
장 3
 
3.6%
해 2
 
2.4%
Other values (19) 23
27.4%

관광지명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-10-10T03:52:21.670626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length4.3928571
Min length2

Characters and Unicode

Total characters123
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row나주호
2nd row담양호
3rd row도림사
4th row지리산온천
5th row율포해수욕장
ValueCountFrequency (%)
나주호 1
 
3.4%
성기동 1
 
3.4%
아리랑마을 1
 
3.4%
녹진 1
 
3.4%
회동 1
 
3.4%
홍길동테마파크 1
 
3.4%
장성호 1
 
3.4%
해신장보고 1
 
3.4%
신지명사십리 1
 
3.4%
불감사 1
 
3.4%
Other values (19) 19
65.5%
2023-10-10T03:52:22.230758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 5
 
4.1%
사 5
 
4.1%
호 4
 
3.3%
마 4
 
3.3%
도 4
 
3.3%
리 4
 
3.3%
산 4
 
3.3%
천 3
 
2.4%
온 3
 
2.4%
수 3
 
2.4%
Other values (60) 84
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
97.6%
Other Punctuation 1
 
0.8%
Space Separator 1
 
0.8%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 5
 
4.2%
사 5
 
4.2%
호 4
 
3.3%
마 4
 
3.3%
도 4
 
3.3%
리 4
 
3.3%
산 4
 
3.3%
천 3
 
2.5%
온 3
 
2.5%
수 3
 
2.5%
Other values (57) 81
67.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
97.6%
Common 3
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 5
 
4.2%
사 5
 
4.2%
호 4
 
3.3%
마 4
 
3.3%
도 4
 
3.3%
리 4
 
3.3%
산 4
 
3.3%
천 3
 
2.5%
온 3
 
2.5%
수 3
 
2.5%
Other values (57) 81
67.5%
Common
ValueCountFrequency (%)
, 1
33.3%
1
33.3%
- 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
97.6%
ASCII 3
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 5
 
4.2%
사 5
 
4.2%
호 4
 
3.3%
마 4
 
3.3%
도 4
 
3.3%
리 4
 
3.3%
산 4
 
3.3%
천 3
 
2.5%
온 3
 
2.5%
수 3
 
2.5%
Other values (57) 81
67.5%
ASCII
ValueCountFrequency (%)
, 1
33.3%
1
33.3%
- 1
33.3%

위치
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-10-10T03:52:22.664925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length8.3571429
Min length6

Characters and Unicode

Total characters234
Distinct characters85
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row남평읍 우산리
2nd row용면 용연리 월계, 도림리
3rd row곡성읍 월봉, 구원
4th row산동면 관산, 대평, 좌사, 탑정
5th row회천면 동율,율포
ValueCountFrequency (%)
남평읍 1
 
1.6%
우산리 1
 
1.6%
나불리 1
 
1.6%
군서면 1
 
1.6%
동구림리 1
 
1.6%
시종면 1
 
1.6%
옥야리 1
 
1.6%
영암읍 1
 
1.6%
개신리 1
 
1.6%
일로읍 1
 
1.6%
Other values (54) 54
84.4%
2023-10-10T03:52:23.365726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
15.4%
리 24
 
10.3%
면 23
 
9.8%
, 10
 
4.3%
읍 6
 
2.6%
산 6
 
2.6%
용 5
 
2.1%
동 4
 
1.7%
곡 4
 
1.7%
대 4
 
1.7%
Other values (75) 112
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
80.3%
Space Separator 36
 
15.4%
Other Punctuation 10
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 24
 
12.8%
면 23
 
12.2%
읍 6
 
3.2%
산 6
 
3.2%
용 5
 
2.7%
동 4
 
2.1%
곡 4
 
2.1%
대 4
 
2.1%
도 4
 
2.1%
신 4
 
2.1%
Other values (73) 104
55.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
80.3%
Common 46
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 24
 
12.8%
면 23
 
12.2%
읍 6
 
3.2%
산 6
 
3.2%
용 5
 
2.7%
동 4
 
2.1%
곡 4
 
2.1%
대 4
 
2.1%
도 4
 
2.1%
신 4
 
2.1%
Other values (73) 104
55.3%
Common
ValueCountFrequency (%)
36
78.3%
, 10
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
80.3%
ASCII 46
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
78.3%
, 10
 
21.7%
Hangul
ValueCountFrequency (%)
리 24
 
12.8%
면 23
 
12.2%
읍 6
 
3.2%
산 6
 
3.2%
용 5
 
2.7%
동 4
 
2.1%
곡 4
 
2.1%
대 4
 
2.1%
도 4
 
2.1%
신 4
 
2.1%
Other values (73) 104
55.3%

관광지 지정일
Date

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1988-11-29 00:00:00
Maximum2017-04-10 00:00:00
2023-10-10T03:52:23.621752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:52:23.917634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

관광지 지정 면적_제곱미터
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1285688.8
Minimum73830
Maximum22581000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-10-10T03:52:24.129268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73830
5-th percentile116702.7
Q1225542.25
median288980.5
Q3666627.25
95-th percentile1927870.5
Maximum22581000
Range22507170
Interquartile range (IQR)441085

Descriptive statistics

Standard deviation4202017
Coefficient of variation (CV)3.2683004
Kurtosis27.158954
Mean1285688.8
Median Absolute Deviation (MAD)102710
Skewness5.1796364
Sum35999285
Variance1.7656947 × 1013
MonotonicityNot monotonic
2023-10-10T03:52:24.329159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2157600 1
 
3.6%
182929 1
 
3.6%
1500000 1
 
3.6%
298930 1
 
3.6%
219815 1
 
3.6%
296920 1
 
3.6%
275763 1
 
3.6%
250595 1
 
3.6%
246682 1
 
3.6%
677023 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
73830 1
3.6%
105495 1
3.6%
137517 1
3.6%
182929 1
3.6%
189612 1
3.6%
219815 1
3.6%
220386 1
3.6%
227261 1
3.6%
242550 1
3.6%
246682 1
3.6%
ValueCountFrequency (%)
22581000 1
3.6%
2157600 1
3.6%
1501230 1
3.6%
1500000 1
3.6%
945575 1
3.6%
677023 1
3.6%
668857 1
3.6%
665884 1
3.6%
646819 1
3.6%
503013 1
3.6%

조성계획 승인일
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-10-10T03:52:24.672486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.75
Min length3

Characters and Unicode

Total characters273
Distinct characters14
Distinct categories3 ?
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 (%)92.9%

Sample

1st row2008-12-26
2nd row2015-05-24
3rd row2015-12-02
4th row2015-08-13
5th row2016-09-26
ValueCountFrequency (%)
2017-03-06 2
 
7.1%
2008-12-26 1
 
3.6%
2013-12-05 1
 
3.6%
2017-04-10 1
 
3.6%
2017-02-14 1
 
3.6%
2011-04-15 1
 
3.6%
2012-05-01 1
 
3.6%
2013-08-18 1
 
3.6%
2017-03-20 1
 
3.6%
2017-09-05 1
 
3.6%
Other values (17) 17
60.7%
2023-10-10T03:52:25.302480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66
24.2%
- 54
19.8%
1 46
16.8%
2 41
15.0%
4 12
 
4.4%
6 10
 
3.7%
5 10
 
3.7%
3 9
 
3.3%
9 9
 
3.3%
7 8
 
2.9%
Other values (4) 8
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
79.1%
Dash Punctuation 54
 
19.8%
Other Letter 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
30.6%
1 46
21.3%
2 41
19.0%
4 12
 
5.6%
6 10
 
4.6%
5 10
 
4.6%
3 9
 
4.2%
9 9
 
4.2%
7 8
 
3.7%
8 5
 
2.3%
Other Letter
ValueCountFrequency (%)
미 1
33.3%
승 1
33.3%
인 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
98.9%
Hangul 3
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 66
24.4%
- 54
20.0%
1 46
17.0%
2 41
15.2%
4 12
 
4.4%
6 10
 
3.7%
5 10
 
3.7%
3 9
 
3.3%
9 9
 
3.3%
7 8
 
3.0%
Hangul
ValueCountFrequency (%)
미 1
33.3%
승 1
33.3%
인 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
98.9%
Hangul 3
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66
24.4%
- 54
20.0%
1 46
17.0%
2 41
15.2%
4 12
 
4.4%
6 10
 
3.7%
5 10
 
3.7%
3 9
 
3.3%
9 9
 
3.3%
7 8
 
3.0%
Hangul
ValueCountFrequency (%)
미 1
33.3%
승 1
33.3%
인 1
33.3%

조성계획 면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean511062.52
Minimum73830
Maximum2425580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-10-10T03:52:25.591063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73830
5-th percentile115101.6
Q1223823.5
median289369
Q3547811
95-th percentile1960689
Maximum2425580
Range2351750
Interquartile range (IQR)323987.5

Descriptive statistics

Standard deviation586574.43
Coefficient of variation (CV)1.1477547
Kurtosis5.5865947
Mean511062.52
Median Absolute Deviation (MAD)99757
Skewness2.4697396
Sum13798688
Variance3.4406956 × 1011
MonotonicityNot monotonic
2023-10-10T03:52:25.849874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2157600 1
 
3.6%
448803 1
 
3.6%
293800 1
 
3.6%
298930 1
 
3.6%
219815 1
 
3.6%
296920 1
 
3.6%
275763 1
 
3.6%
250595 1
 
3.6%
246682 1
 
3.6%
677023 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
73830 1
3.6%
105495 1
3.6%
137517 1
3.6%
182929 1
3.6%
189612 1
3.6%
219815 1
3.6%
220386 1
3.6%
227261 1
3.6%
246682 1
3.6%
247488 1
3.6%
ValueCountFrequency (%)
2425580 1
3.6%
2157600 1
3.6%
1501230 1
3.6%
677023 1
3.6%
668857 1
3.6%
665884 1
3.6%
646819 1
3.6%
448803 1
3.6%
403358 1
3.6%
358550 1
3.6%

Interactions

2023-10-10T03:52:19.788281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:52:19.070106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:52:19.958726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-10T03:52:19.620468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-10-10T03:52:26.008516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군관광지명위치관광지 지정일관광지 지정 면적_제곱미터조성계획 승인일조성계획 면적(제곱미터)
시군1.0001.0001.0001.0001.0001.0000.912
관광지명1.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0001.000
관광지 지정일1.0001.0001.0001.0001.0001.0000.939
관광지 지정 면적_제곱미터1.0001.0001.0001.0001.0001.0000.520
조성계획 승인일1.0001.0001.0001.0001.0001.0000.939
조성계획 면적(제곱미터)0.9121.0001.0000.9390.5200.9391.000
2023-10-10T03:52:26.335750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지 지정 면적_제곱미터조성계획 면적(제곱미터)
관광지 지정 면적_제곱미터1.0000.850
조성계획 면적(제곱미터)0.8501.000

Missing values

2023-10-10T03:52:20.195589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-10T03:52:20.422337image/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.

Sample

시군관광지명위치관광지 지정일관광지 지정 면적_제곱미터조성계획 승인일조성계획 면적(제곱미터)
0나주시나주호남평읍 우산리2008-11-2221576002008-12-262157600
1담양군담양호용면 용연리 월계, 도림리1988-11-29225810002015-05-24448803
2곡성군도림사곡성읍 월봉, 구원1990-02-132425502015-12-022425580
3구례군지리산온천산동면 관산, 대평, 좌사, 탑정2006-01-2615012302015-08-131501230
4보성군율포해수욕장회천면 동율,율포2014-07-101896122016-09-26189612
5보성군한국차,소리 문화공원보성읍 봉산리2015-09-032893692015-09-03289369
6화순군화순온천북면 옥리,서유2012-08-093585502012-08-09358550
7화순군도곡온천도곡면 천암,원화2014-07-036468192017-04-14646819
8화순군운주사도암면 용강리2015-04-171054952016-04-04105495
9장흥군장재-우산도안양면 사촌리, 용산면 상발리2007-07-059455752015-12-01403358
시군관광지명위치관광지 지정일관광지 지정 면적_제곱미터조성계획 승인일조성계획 면적(제곱미터)
18함평군사포학교면 곡창,월호2017-02-132885922017-02-13288592
19영광군불감사불갑면 모악리2010-12-291375172016-10-04137517
20완도군신지명사십리신지면 신리2016-06-056770232017-09-05677023
21완도군해신장보고완도읍 대신리2011-09-052466822017-03-20246682
22장성군장성호북하면 쌍웅리2013-05-182505952013-08-18250595
23장성군홍길동테마파크황룡면 아곡리2012-05-012757632012-05-01275763
24진도군회동고군면 금계리2010-10-222969202011-04-15296920
25진도군녹진군내면 녹진리2017-02-142198152017-02-14219815
26진도군아리랑마을임회면 상만리2017-04-102989302017-04-10298930
27신안군대광해수욕장임자면 대기 광산1990-09-2115000001990-09-21293800