Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory54.7 B

Variable types

Numeric2
Categorical1
Text2
DateTime1

Dataset

Description광주광역시 북구 관내 대형화재취약대상 현황 데이터로 광주광역시 북부소방서에서 지정하여 관리 중인 화재안전 중점관리 대상 현황(대상명, 소재지도로명주소, 면적 등)을 제공합니다.(28개소)
Author광주광역시
URLhttps://www.data.go.kr/data/15047457/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
대상명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:07:03.872443
Analysis finished2024-04-06 08:07:05.536459
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-06T17:07:05.649579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-04-06T17:07:05.948864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

구분
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
의료
15 
복합
4 
숙박
3 
판매
3 
공장
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박
2nd row숙박
3rd row복합
4th row의료
5th row의료

Common Values

ValueCountFrequency (%)
의료 15
53.6%
복합 4
 
14.3%
숙박 3
 
10.7%
판매 3
 
10.7%
공장 3
 
10.7%

Length

2024-04-06T17:07:06.199481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:07:06.415024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료 15
53.6%
복합 4
 
14.3%
숙박 3
 
10.7%
판매 3
 
10.7%
공장 3
 
10.7%

대상명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-06T17:07:06.808208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.5
Min length4

Characters and Unicode

Total characters182
Distinct characters91
Distinct categories5 ?
Distinct scripts3 ?
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 row드림고시텔
2nd row광주관광호텔
3rd row굿모닝타운(CGV용봉점)
4th row현대병원
5th row동행재활요양병원
ValueCountFrequency (%)
드림고시텔 1
 
3.6%
광주관광호텔 1
 
3.6%
앰코테크놀러지코리아 1
 
3.6%
누가요양병원 1
 
3.6%
운암한국병원 1
 
3.6%
굿모닝병원 1
 
3.6%
동서하나로요양병원 1
 
3.6%
광주연세요양병원 1
 
3.6%
진요양병원 1
 
3.6%
kt&g광주공장 1
 
3.6%
Other values (18) 18
64.3%
2024-04-06T17:07:07.571685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 17
 
9.3%
병 16
 
8.8%
양 9
 
4.9%
요 9
 
4.9%
광 7
 
3.8%
주 6
 
3.3%
점 3
 
1.6%
장 3
 
1.6%
동 3
 
1.6%
스 3
 
1.6%
Other values (81) 106
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
94.0%
Uppercase Letter 8
 
4.4%
Other Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 17
 
9.9%
병 16
 
9.4%
양 9
 
5.3%
요 9
 
5.3%
광 7
 
4.1%
주 6
 
3.5%
점 3
 
1.8%
장 3
 
1.8%
동 3
 
1.8%
스 3
 
1.8%
Other values (72) 95
55.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
G 2
25.0%
K 1
12.5%
T 1
12.5%
V 1
12.5%
N 1
12.5%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
94.0%
Latin 8
 
4.4%
Common 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 17
 
9.9%
병 16
 
9.4%
양 9
 
5.3%
요 9
 
5.3%
광 7
 
4.1%
주 6
 
3.5%
점 3
 
1.8%
장 3
 
1.8%
동 3
 
1.8%
스 3
 
1.8%
Other values (72) 95
55.6%
Latin
ValueCountFrequency (%)
C 2
25.0%
G 2
25.0%
K 1
12.5%
T 1
12.5%
V 1
12.5%
N 1
12.5%
Common
ValueCountFrequency (%)
& 1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
94.0%
ASCII 11
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 17
 
9.9%
병 16
 
9.4%
양 9
 
5.3%
요 9
 
5.3%
광 7
 
4.1%
주 6
 
3.5%
점 3
 
1.8%
장 3
 
1.8%
동 3
 
1.8%
스 3
 
1.8%
Other values (72) 95
55.6%
ASCII
ValueCountFrequency (%)
C 2
18.2%
G 2
18.2%
K 1
9.1%
T 1
9.1%
& 1
9.1%
( 1
9.1%
V 1
9.1%
) 1
9.1%
N 1
9.1%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-04-06T17:07:07.995776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.7142857
Min length6

Characters and Unicode

Total characters216
Distinct characters51
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 row용주로18번길 18
2nd row서하로183번길 56
3rd row문화소통로 170
4th row설죽로 291
5th row무등로 226
ValueCountFrequency (%)
하서로 5
 
9.1%
북문대로 3
 
5.5%
경열로 2
 
3.6%
18 2
 
3.6%
앰코로 2
 
3.6%
양일로 2
 
3.6%
313 1
 
1.8%
309 1
 
1.8%
395 1
 
1.8%
387 1
 
1.8%
Other values (35) 35
63.6%
2024-04-06T17:07:08.630301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 28
 
13.0%
27
 
12.5%
1 17
 
7.9%
2 12
 
5.6%
3 11
 
5.1%
0 11
 
5.1%
9 9
 
4.2%
8 8
 
3.7%
서 7
 
3.2%
7 6
 
2.8%
Other values (41) 80
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
46.8%
Decimal Number 86
39.8%
Space Separator 27
 
12.5%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 28
27.7%
서 7
 
6.9%
하 6
 
5.9%
문 5
 
5.0%
대 5
 
5.0%
길 4
 
4.0%
번 4
 
4.0%
북 3
 
3.0%
앰 2
 
2.0%
일 2
 
2.0%
Other values (29) 35
34.7%
Decimal Number
ValueCountFrequency (%)
1 17
19.8%
2 12
14.0%
3 11
12.8%
0 11
12.8%
9 9
10.5%
8 8
9.3%
7 6
 
7.0%
6 5
 
5.8%
5 5
 
5.8%
4 2
 
2.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115
53.2%
Hangul 101
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 28
27.7%
서 7
 
6.9%
하 6
 
5.9%
문 5
 
5.0%
대 5
 
5.0%
길 4
 
4.0%
번 4
 
4.0%
북 3
 
3.0%
앰 2
 
2.0%
일 2
 
2.0%
Other values (29) 35
34.7%
Common
ValueCountFrequency (%)
27
23.5%
1 17
14.8%
2 12
10.4%
3 11
9.6%
0 11
9.6%
9 9
 
7.8%
8 8
 
7.0%
7 6
 
5.2%
6 5
 
4.3%
5 5
 
4.3%
Other values (2) 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
53.2%
Hangul 101
46.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 28
27.7%
서 7
 
6.9%
하 6
 
5.9%
문 5
 
5.0%
대 5
 
5.0%
길 4
 
4.0%
번 4
 
4.0%
북 3
 
3.0%
앰 2
 
2.0%
일 2
 
2.0%
Other values (29) 35
34.7%
ASCII
ValueCountFrequency (%)
27
23.5%
1 17
14.8%
2 12
10.4%
3 11
9.6%
0 11
9.6%
9 9
 
7.8%
8 8
 
7.0%
7 6
 
5.2%
6 5
 
4.3%
5 5
 
4.3%
Other values (2) 4
 
3.5%

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33738.679
Minimum1097.13
Maximum182559.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-04-06T17:07:08.897783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1097.13
5-th percentile2207.1795
Q16597.75
median13453.5
Q331364
95-th percentile169007.95
Maximum182559.58
Range181462.45
Interquartile range (IQR)24766.25

Descriptive statistics

Standard deviation51663.274
Coefficient of variation (CV)1.5312773
Kurtosis4.0132677
Mean33738.679
Median Absolute Deviation (MAD)7645.29
Skewness2.2417654
Sum944683.01
Variance2.6690939 × 109
MonotonicityNot monotonic
2024-04-06T17:07:09.187510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1097.13 1
 
3.6%
6444.0 1
 
3.6%
72801.0 1
 
3.6%
182559.58 1
 
3.6%
5012.0 1
 
3.6%
11700.58 1
 
3.6%
6825.32 1
 
3.6%
3275.37 1
 
3.6%
6697.61 1
 
3.6%
21188.58 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1097.13 1
3.6%
1632.0 1
3.6%
3275.37 1
3.6%
4126.0 1
3.6%
5012.0 1
3.6%
5898.0 1
3.6%
6444.0 1
3.6%
6649.0 1
3.6%
6697.61 1
3.6%
6732.0 1
3.6%
ValueCountFrequency (%)
182559.58 1
3.6%
175743.0 1
3.6%
156500.0 1
3.6%
72801.0 1
3.6%
56625.0 1
3.6%
42719.84 1
3.6%
41510.0 1
3.6%
27982.0 1
3.6%
21188.58 1
3.6%
17268.0 1
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-03-13 00:00:00
Maximum2024-03-13 00:00:00
2024-04-06T17:07:09.517391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:09.677699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:07:04.788360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:04.468554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:04.981279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:04.628861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:07:09.818085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분대상명소재지도로명주소면적(제곱미터)
연번1.0000.6601.0001.0000.141
구분0.6601.0001.0001.0000.569
대상명1.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.000
면적(제곱미터)0.1410.5691.0001.0001.000
2024-04-06T17:07:10.049197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)구분
연번1.0000.1520.272
면적(제곱미터)0.1521.0000.422
구분0.2720.4221.000

Missing values

2024-04-06T17:07:05.256856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:07:05.453111image/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

연번구분대상명소재지도로명주소면적(제곱미터)데이터기준일자
01숙박드림고시텔용주로18번길 181097.132024-03-13
12숙박광주관광호텔서하로183번길 564126.02024-03-13
23복합굿모닝타운(CGV용봉점)문화소통로 17042719.842024-03-13
34의료현대병원설죽로 29115987.02024-03-13
45의료동행재활요양병원무등로 22617268.02024-03-13
56숙박상아탑고시원용봉로 62-91632.02024-03-13
67복합천사요양병원북문대로 186732.02024-03-13
78판매NC백화점경열로 24941510.02024-03-13
89의료해피뷰병원경열로 21612222.02024-03-13
910판매홈플러스동광주점동문대로 20056625.02024-03-13
연번구분대상명소재지도로명주소면적(제곱미터)데이터기준일자
1819복합유탑유블레스하서로 38427982.02024-03-13
1920공장KT&G광주공장하서로 300156500.02024-03-13
2021의료진요양병원첨단연신로 2521188.582024-03-13
2122의료광주연세요양병원동운로 296697.612024-03-13
2223의료동서하나로요양병원대자실로 333275.372024-03-13
2324의료굿모닝병원북문대로 1826825.322024-03-13
2425의료운암한국병원북문대로 19111700.582024-03-13
2526의료누가요양병원유림로1775012.02024-03-13
2627공장앰코테크놀러지코리아앰코로 100182559.582024-03-13
2728공장삼성전자광주공장앰코로 7072801.02024-03-13