Overview

Dataset statistics

Number of variables8
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory71.6 B

Variable types

Categorical2
Text2
Numeric4

Dataset

Description이 데이터는 2023년 5월 22일 기준으로 남원시 수해대피소에 대한 구분, 대피소명, 위치, 위도, 경도, 면적, 수용인원에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15113905/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
면적(m2) is highly overall correlated with 수용인원(명)High correlation
수용인원(명) is highly overall correlated with 면적(m2)High correlation
대피소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:18:34.628675
Analysis finished2023-12-12 14:18:36.510453
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
학교
28 
기타
6 
관공서
3 

Length

Max length3
Median length2
Mean length2.0810811
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row관공서
4th row학교
5th row학교

Common Values

ValueCountFrequency (%)
학교 28
75.7%
기타 6
 
16.2%
관공서 3
 
8.1%

Length

2023-12-12T23:18:36.616434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:18:36.762429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 28
75.7%
기타 6
 
16.2%
관공서 3
 
8.1%

대피소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T23:18:36.999019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.5945946
Min length6

Characters and Unicode

Total characters355
Distinct characters83
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

Unique37 ?
Unique (%)100.0%

Sample

1st row구)남원시의회 본관
2nd row국악의성지 공연장
3rd row금동 행정복지센터
4th row금지초등학교 식생활관
5th row남원 용성중학교 식생활관
ValueCountFrequency (%)
강당 9
 
12.5%
본관 6
 
8.3%
식생활관 6
 
8.3%
기숙사 4
 
5.6%
원천초등학교 2
 
2.8%
한국경마축산고등학교 2
 
2.8%
행정복지센터 2
 
2.8%
사택 2
 
2.8%
용북중학교 2
 
2.8%
춘향골 2
 
2.8%
Other values (34) 35
48.6%
2023-12-12T23:18:37.456905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
9.9%
교 29
 
8.2%
학 28
 
7.9%
등 21
 
5.9%
관 14
 
3.9%
초 14
 
3.9%
원 11
 
3.1%
강 10
 
2.8%
당 9
 
2.5%
사 8
 
2.3%
Other values (73) 176
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
89.9%
Space Separator 35
 
9.9%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 29
 
9.1%
학 28
 
8.8%
등 21
 
6.6%
관 14
 
4.4%
초 14
 
4.4%
원 11
 
3.4%
강 10
 
3.1%
당 9
 
2.8%
사 8
 
2.5%
생 8
 
2.5%
Other values (71) 167
52.4%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
89.9%
Common 36
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 29
 
9.1%
학 28
 
8.8%
등 21
 
6.6%
관 14
 
4.4%
초 14
 
4.4%
원 11
 
3.4%
강 10
 
3.1%
당 9
 
2.8%
사 8
 
2.5%
생 8
 
2.5%
Other values (71) 167
52.4%
Common
ValueCountFrequency (%)
35
97.2%
) 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
89.9%
ASCII 36
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
97.2%
) 1
 
2.8%
Hangul
ValueCountFrequency (%)
교 29
 
9.1%
학 28
 
8.8%
등 21
 
6.6%
관 14
 
4.4%
초 14
 
4.4%
원 11
 
3.4%
강 10
 
3.1%
당 9
 
2.8%
사 8
 
2.5%
생 8
 
2.5%
Other values (71) 167
52.4%

위치
Text

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T23:18:37.728906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.054054
Min length15

Characters and Unicode

Total characters668
Distinct characters83
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

Unique29 ?
Unique (%)78.4%

Sample

1st row전라북도 남원시 광한북로 57
2nd row전라북도 남원시 운봉읍 비전길 69
3rd row전라북도 남원시 가방뜰길 8
4th row전라북도 남원시 금지면 택내길 36-37
5th row전라북도 남원시 춘향로 73
ValueCountFrequency (%)
전라북도 37
22.2%
남원시 37
22.2%
운봉읍 4
 
2.4%
용성로 3
 
1.8%
952 2
 
1.2%
341 2
 
1.2%
황산로 2
 
1.2%
41 2
 
1.2%
8 2
 
1.2%
인월면 2
 
1.2%
Other values (66) 74
44.3%
2023-12-12T23:18:38.202330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
19.5%
북 41
 
6.1%
전 38
 
5.7%
시 38
 
5.7%
라 37
 
5.5%
도 37
 
5.5%
남 37
 
5.5%
원 37
 
5.5%
길 19
 
2.8%
로 17
 
2.5%
Other values (73) 237
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
65.1%
Space Separator 130
 
19.5%
Decimal Number 98
 
14.7%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 41
 
9.4%
전 38
 
8.7%
시 38
 
8.7%
라 37
 
8.5%
도 37
 
8.5%
남 37
 
8.5%
원 37
 
8.5%
길 19
 
4.4%
로 17
 
3.9%
면 15
 
3.4%
Other values (61) 119
27.4%
Decimal Number
ValueCountFrequency (%)
2 16
16.3%
1 16
16.3%
5 15
15.3%
9 14
14.3%
3 13
13.3%
4 8
8.2%
8 6
 
6.1%
7 4
 
4.1%
6 3
 
3.1%
0 3
 
3.1%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
65.1%
Common 233
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 41
 
9.4%
전 38
 
8.7%
시 38
 
8.7%
라 37
 
8.5%
도 37
 
8.5%
남 37
 
8.5%
원 37
 
8.5%
길 19
 
4.4%
로 17
 
3.9%
면 15
 
3.4%
Other values (61) 119
27.4%
Common
ValueCountFrequency (%)
130
55.8%
2 16
 
6.9%
1 16
 
6.9%
5 15
 
6.4%
9 14
 
6.0%
3 13
 
5.6%
4 8
 
3.4%
8 6
 
2.6%
- 5
 
2.1%
7 4
 
1.7%
Other values (2) 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
65.1%
ASCII 233
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
55.8%
2 16
 
6.9%
1 16
 
6.9%
5 15
 
6.4%
9 14
 
6.0%
3 13
 
5.6%
4 8
 
3.4%
8 6
 
2.6%
- 5
 
2.1%
7 4
 
1.7%
Other values (2) 6
 
2.6%
Hangul
ValueCountFrequency (%)
북 41
 
9.4%
전 38
 
8.7%
시 38
 
8.7%
라 37
 
8.5%
도 37
 
8.5%
남 37
 
8.5%
원 37
 
8.5%
길 19
 
4.4%
로 17
 
3.9%
면 15
 
3.4%
Other values (61) 119
27.4%

위도
Real number (ℝ)

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.425936
Minimum35.333666
Maximum35.513905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T23:18:38.353009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.333666
5-th percentile35.375546
Q135.408203
median35.419882
Q335.441274
95-th percentile35.495422
Maximum35.513905
Range0.18023948
Interquartile range (IQR)0.03307188

Descriptive statistics

Standard deviation0.039340525
Coefficient of variation (CV)0.0011105006
Kurtosis0.65681675
Mean35.425936
Median Absolute Deviation (MAD)0.01680815
Skewness0.31198987
Sum1310.7596
Variance0.0015476769
MonotonicityNot monotonic
2023-12-12T23:18:38.509400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35.49202727 2
 
5.4%
35.44127442 2
 
5.4%
35.43064314 2
 
5.4%
35.38868408 2
 
5.4%
35.40820254 1
 
2.7%
35.42366642 1
 
2.7%
35.50542454 1
 
2.7%
35.41948431 1
 
2.7%
35.41008298 1
 
2.7%
35.46355806 1
 
2.7%
Other values (23) 23
62.2%
ValueCountFrequency (%)
35.33366563 1
2.7%
35.34617741 1
2.7%
35.38288785 1
2.7%
35.38868408 2
5.4%
35.3958264 1
2.7%
35.39808504 1
2.7%
35.40242232 1
2.7%
35.40307389 1
2.7%
35.40820254 1
2.7%
35.40856236 1
2.7%
ValueCountFrequency (%)
35.51390511 1
2.7%
35.50542454 1
2.7%
35.49292176 1
2.7%
35.49202727 2
5.4%
35.4646532 1
2.7%
35.46355806 1
2.7%
35.45995747 1
2.7%
35.44127442 2
5.4%
35.43148256 1
2.7%
35.43064314 2
5.4%

경도
Real number (ℝ)

Distinct33
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.42211
Minimum127.22861
Maximum127.62715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T23:18:39.001801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.22861
5-th percentile127.3195
Q1127.37546
median127.39314
Q3127.44543
95-th percentile127.60359
Maximum127.62715
Range0.3985363
Interquartile range (IQR)0.0699763

Descriptive statistics

Standard deviation0.09087864
Coefficient of variation (CV)0.00071320937
Kurtosis0.42530789
Mean127.42211
Median Absolute Deviation (MAD)0.0228842
Skewness0.77445134
Sum4714.6179
Variance0.0082589272
MonotonicityNot monotonic
2023-12-12T23:18:39.146190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
127.3645068 2
 
5.4%
127.5162489 2
 
5.4%
127.4037433 2
 
5.4%
127.4454327 2
 
5.4%
127.379519 1
 
2.7%
127.4037498 1
 
2.7%
127.6097116 1
 
2.7%
127.3925598 1
 
2.7%
127.3796942 1
 
2.7%
127.6015358 1
 
2.7%
Other values (23) 23
62.2%
ValueCountFrequency (%)
127.2286135 1
2.7%
127.2934335 1
2.7%
127.3260112 1
2.7%
127.3268352 1
2.7%
127.3645068 2
5.4%
127.3702566 1
2.7%
127.3705522 1
2.7%
127.3728576 1
2.7%
127.3754564 1
2.7%
127.3763246 1
2.7%
ValueCountFrequency (%)
127.6271498 1
2.7%
127.6097116 1
2.7%
127.602065 1
2.7%
127.6015358 1
2.7%
127.5677692 1
2.7%
127.5162489 2
5.4%
127.506717 1
2.7%
127.4774855 1
2.7%
127.4454327 2
5.4%
127.4415562 1
2.7%

면적(m2)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1969.0541
Minimum185
Maximum7471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T23:18:39.265753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185
5-th percentile194.4
Q1350
median1166
Q32908
95-th percentile5386.2
Maximum7471
Range7286
Interquartile range (IQR)2558

Descriptive statistics

Standard deviation1921.577
Coefficient of variation (CV)0.97588839
Kurtosis0.86069901
Mean1969.0541
Median Absolute Deviation (MAD)971
Skewness1.1844868
Sum72855
Variance3692458.1
MonotonicityNot monotonic
2023-12-12T23:18:39.388480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2359 2
 
5.4%
2577 1
 
2.7%
760 1
 
2.7%
938 1
 
2.7%
991 1
 
2.7%
230 1
 
2.7%
202 1
 
2.7%
3525 1
 
2.7%
277 1
 
2.7%
265 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
185 1
2.7%
192 1
2.7%
195 1
2.7%
202 1
2.7%
230 1
2.7%
247 1
2.7%
265 1
2.7%
277 1
2.7%
342 1
2.7%
350 1
2.7%
ValueCountFrequency (%)
7471 1
2.7%
6571 1
2.7%
5090 1
2.7%
4773 1
2.7%
4505 1
2.7%
4298 1
2.7%
3525 1
2.7%
3253 1
2.7%
3101 1
2.7%
2908 1
2.7%

수용인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596.16216
Minimum56
Maximum2263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T23:18:39.506701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile58.8
Q1106
median353
Q3881
95-th percentile1631.8
Maximum2263
Range2207
Interquartile range (IQR)775

Descriptive statistics

Standard deviation582.28303
Coefficient of variation (CV)0.9767192
Kurtosis0.86011617
Mean596.16216
Median Absolute Deviation (MAD)294
Skewness1.1846265
Sum22058
Variance339053.53
MonotonicityNot monotonic
2023-12-12T23:18:39.622799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
714 2
 
5.4%
780 1
 
2.7%
230 1
 
2.7%
284 1
 
2.7%
300 1
 
2.7%
69 1
 
2.7%
61 1
 
2.7%
1068 1
 
2.7%
83 1
 
2.7%
80 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
56 1
2.7%
58 1
2.7%
59 1
2.7%
61 1
2.7%
69 1
2.7%
74 1
2.7%
80 1
2.7%
83 1
2.7%
103 1
2.7%
106 1
2.7%
ValueCountFrequency (%)
2263 1
2.7%
1991 1
2.7%
1542 1
2.7%
1446 1
2.7%
1365 1
2.7%
1302 1
2.7%
1068 1
2.7%
985 1
2.7%
939 1
2.7%
881 1
2.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-05-22
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-22
2nd row2023-05-22
3rd row2023-05-22
4th row2023-05-22
5th row2023-05-22

Common Values

ValueCountFrequency (%)
2023-05-22 37
100.0%

Length

2023-12-12T23:18:39.737353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:18:39.826926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-22 37
100.0%

Interactions

2023-12-12T23:18:35.938082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:34.921554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.256074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.573982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:36.024395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.002306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.345351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.665885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:36.111358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.095101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.421619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.757631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:36.188000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.180038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.500782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:18:35.859203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:18:39.882092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분대피소명위치위도경도면적(m2)수용인원(명)
구분1.0001.0001.0000.0000.0000.1740.202
대피소명1.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0000.5910.512
위도0.0001.0001.0001.0000.7860.3370.000
경도0.0001.0001.0000.7861.0000.0000.000
면적(m2)0.1741.0000.5910.3370.0001.0001.000
수용인원(명)0.2021.0000.5120.0000.0001.0001.000
2023-12-12T23:18:39.972816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적(m2)수용인원(명)구분
위도1.0000.4520.1250.1250.000
경도0.4521.0000.0800.0800.000
면적(m2)0.1250.0801.0001.0000.019
수용인원(명)0.1250.0801.0001.0000.019
구분0.0000.0000.0190.0191.000

Missing values

2023-12-12T23:18:36.290610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:18:36.451984image/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

구분대피소명위치위도경도면적(m2)수용인원(명)데이터기준일자
0기타구)남원시의회 본관전라북도 남원시 광한북로 5735.408203127.37951925777802023-05-22
1기타국악의성지 공연장전라북도 남원시 운봉읍 비전길 6935.459957127.567769247742023-05-22
2관공서금동 행정복지센터전라북도 남원시 가방뜰길 835.402422127.3754563421032023-05-22
3학교금지초등학교 식생활관전라북도 남원시 금지면 택내길 36-3735.333666127.293434192582023-05-22
4학교남원 용성중학교 식생활관전라북도 남원시 춘향로 7335.421017127.393141450513652023-05-22
5학교남원고등학교 기숙사전라북도 남원시 만인로 4335.419505127.38075725967862023-05-22
6관공서남원시청사 강당전라북도 남원시 시청로 6035.41663127.3907443501062023-05-22
7학교남원여자고등학교기숙사전라북도 남원시 광천북길 229-1135.410397127.37025712733852023-05-22
8학교남원중학교 식생활관전라북도 남원시 만인로 41-5135.420636127.3792326291902023-05-22
9학교노암초등학교 유치원전라북도 남원시 여수길 1435.395826127.3763254851462023-05-22
구분대피소명위치위도경도면적(m2)수용인원(명)데이터기준일자
27학교인월중고등학교 사택전라북도 남원시 인월면 인월장터로 4835.464653127.602065277832023-05-22
28학교인월초등학교 강당전라북도 남원시 인월면 인월1길 5535.463558127.6015367602302023-05-22
29학교주생초등학교 식생활관전라북도 남원시 주생면 소지길 21-535.382888127.326011265802023-05-22
30기타춘향골 다목적구장전라북도 남원시 충정로 34135.430643127.403743429813022023-05-22
31기타춘향골 실내체육관전라북도 남원시 충정로 34135.430643127.403743747122632023-05-22
32학교하늘중학교 강당전라북도 남원시 동헌길 7535.408562127.38105925547732023-05-22
33학교한국경마축산고등학교 강당전라북도 남원시 운봉읍 황산로 95235.441274127.5162496411942023-05-22
34학교한국경마축산고등학교 기숙사전라북도 남원시 운봉읍 황산로 95235.441274127.516249509015422023-05-22
35학교한빛중학교 강당전라북도 남원시 용성로 29935.423362127.40228477314462023-05-22
36학교한울학교 본관전라북도 남원시 이백면 이백로 31535.424971127.441556657119912023-05-22