Overview

Dataset statistics

Number of variables7
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory62.3 B

Variable types

Categorical2
Text2
Numeric2
DateTime1

Dataset

Description인천광역시 강화군 다중이용시설중 실내공기기질관리법상 실내공기질관리 대상시설 현황에 대한 데이터로 관리기관명, 대상시설구분, 시설명, 소재지, 데이터기준일자, 위도, 경도 등의 항목을 제공합니다.
Author인천광역시 강화군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102339&srcSe=7661IVAWM27C61E190

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:57:27.242224
Analysis finished2024-01-28 05:57:27.956706
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
인천광역시 강화군
31 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 강화군
2nd row인천광역시 강화군
3rd row인천광역시 강화군
4th row인천광역시 강화군
5th row인천광역시 강화군

Common Values

ValueCountFrequency (%)
인천광역시 강화군 31
100.0%

Length

2024-01-28T14:57:28.004458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:57:28.078082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 31
50.0%
강화군 31
50.0%

시설명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T14:57:28.234637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.0645161
Min length4

Characters and Unicode

Total characters219
Distinct characters95
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

Unique31 ?
Unique (%)100.0%

Sample

1st row강화역사박물관
2nd row강화병원
3rd row강화희망병원
4th row강화남부군립키즈카페
5th row해주병원
ValueCountFrequency (%)
강화역사박물관 1
 
3.0%
요양원 1
 
3.0%
강화백석노인전문요양원 1
 
3.0%
진남요양원 1
 
3.0%
비에스종합병원 1
 
3.0%
호세요양원 1
 
3.0%
아름다운실버타운 1
 
3.0%
집 1
 
3.0%
성안나의 1
 
3.0%
삼성너싱홈 1
 
3.0%
Other values (23) 23
69.7%
2024-01-28T14:57:28.554975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 14
 
6.4%
화 14
 
6.4%
원 13
 
5.9%
집 9
 
4.1%
요 9
 
4.1%
양 9
 
4.1%
어 7
 
3.2%
이 7
 
3.2%
린 7
 
3.2%
군 6
 
2.7%
Other values (85) 124
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
99.1%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 14
 
6.5%
화 14
 
6.5%
원 13
 
6.0%
집 9
 
4.1%
요 9
 
4.1%
양 9
 
4.1%
어 7
 
3.2%
이 7
 
3.2%
린 7
 
3.2%
군 6
 
2.8%
Other values (84) 122
56.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
99.1%
Common 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 14
 
6.5%
화 14
 
6.5%
원 13
 
6.0%
집 9
 
4.1%
요 9
 
4.1%
양 9
 
4.1%
어 7
 
3.2%
이 7
 
3.2%
린 7
 
3.2%
군 6
 
2.8%
Other values (84) 122
56.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
99.1%
ASCII 2
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 14
 
6.5%
화 14
 
6.5%
원 13
 
6.0%
집 9
 
4.1%
요 9
 
4.1%
양 9
 
4.1%
어 7
 
3.2%
이 7
 
3.2%
린 7
 
3.2%
군 6
 
2.8%
Other values (84) 122
56.2%
ASCII
ValueCountFrequency (%)
2
100.0%

대상시설구분
Categorical

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
노인요양시설
14 
어린이집
7 
의료기관
4 
목욕장
2 
대규모점포
2 
Other values (2)
2 

Length

Max length7
Median length6
Mean length4.9677419
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row박물관
2nd row의료기관
3rd row의료기관
4th row어린이놀이시설
5th row의료기관

Common Values

ValueCountFrequency (%)
노인요양시설 14
45.2%
어린이집 7
22.6%
의료기관 4
 
12.9%
목욕장 2
 
6.5%
대규모점포 2
 
6.5%
박물관 1
 
3.2%
어린이놀이시설 1
 
3.2%

Length

2024-01-28T14:57:28.673712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:57:28.797701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양시설 14
45.2%
어린이집 7
22.6%
의료기관 4
 
12.9%
목욕장 2
 
6.5%
대규모점포 2
 
6.5%
박물관 1
 
3.2%
어린이놀이시설 1
 
3.2%

소재지
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T14:57:28.998270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length23.451613
Min length20

Characters and Unicode

Total characters727
Distinct characters63
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

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 강화군 하점면 강화대로 994-19
2nd row인천광역시 강화군 강화읍 강화대로312번길 11
3rd row인천광역시 강화군 송해면 강화대로 743
4th row인천광역시 강화군 길상면 해란길32번길 91
5th row인천광역시 강화군 하점면 창후로 286
ValueCountFrequency (%)
인천광역시 31
20.0%
강화군 31
20.0%
강화읍 8
 
5.2%
불은면 5
 
3.2%
길상면 5
 
3.2%
하점면 4
 
2.6%
선원면 3
 
1.9%
중앙로 3
 
1.9%
양도면 3
 
1.9%
충렬사로 3
 
1.9%
Other values (55) 59
38.1%
2024-01-28T14:57:29.303587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
17.1%
화 47
 
6.5%
강 45
 
6.2%
시 34
 
4.7%
인 32
 
4.4%
광 31
 
4.3%
역 31
 
4.3%
군 31
 
4.3%
천 31
 
4.3%
로 28
 
3.9%
Other values (53) 293
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
65.6%
Space Separator 124
 
17.1%
Decimal Number 117
 
16.1%
Dash Punctuation 9
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 47
 
9.9%
강 45
 
9.4%
시 34
 
7.1%
인 32
 
6.7%
광 31
 
6.5%
역 31
 
6.5%
군 31
 
6.5%
천 31
 
6.5%
로 28
 
5.9%
면 23
 
4.8%
Other values (41) 144
30.2%
Decimal Number
ValueCountFrequency (%)
1 27
23.1%
2 18
15.4%
3 17
14.5%
9 13
11.1%
7 12
10.3%
4 11
9.4%
6 8
 
6.8%
5 6
 
5.1%
8 4
 
3.4%
0 1
 
0.9%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
65.6%
Common 250
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 47
 
9.9%
강 45
 
9.4%
시 34
 
7.1%
인 32
 
6.7%
광 31
 
6.5%
역 31
 
6.5%
군 31
 
6.5%
천 31
 
6.5%
로 28
 
5.9%
면 23
 
4.8%
Other values (41) 144
30.2%
Common
ValueCountFrequency (%)
124
49.6%
1 27
 
10.8%
2 18
 
7.2%
3 17
 
6.8%
9 13
 
5.2%
7 12
 
4.8%
4 11
 
4.4%
- 9
 
3.6%
6 8
 
3.2%
5 6
 
2.4%
Other values (2) 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
65.6%
ASCII 250
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
49.6%
1 27
 
10.8%
2 18
 
7.2%
3 17
 
6.8%
9 13
 
5.2%
7 12
 
4.8%
4 11
 
4.4%
- 9
 
3.6%
6 8
 
3.2%
5 6
 
2.4%
Other values (2) 5
 
2.0%
Hangul
ValueCountFrequency (%)
화 47
 
9.9%
강 45
 
9.4%
시 34
 
7.1%
인 32
 
6.7%
광 31
 
6.5%
역 31
 
6.5%
군 31
 
6.5%
천 31
 
6.5%
로 28
 
5.9%
면 23
 
4.8%
Other values (41) 144
30.2%

위도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.705565
Minimum37.626033
Maximum37.795304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T14:57:29.410047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.626033
5-th percentile37.631729
Q137.654576
median37.724858
Q337.742871
95-th percentile37.779036
Maximum37.795304
Range0.1692714
Interquartile range (IQR)0.088295283

Descriptive statistics

Standard deviation0.052678446
Coefficient of variation (CV)0.0013971
Kurtosis-1.4258191
Mean37.705565
Median Absolute Deviation (MAD)0.048852825
Skewness-0.10279833
Sum1168.8725
Variance0.0027750187
MonotonicityNot monotonic
2024-01-28T14:57:29.506874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.7737103432 1
 
3.2%
37.7424330293 1
 
3.2%
37.6404653033 1
 
3.2%
37.6550571068 1
 
3.2%
37.6606851045 1
 
3.2%
37.7360645885 1
 
3.2%
37.6741659636 1
 
3.2%
37.6481972575 1
 
3.2%
37.635798104 1
 
3.2%
37.70491508 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
37.626032984 1
3.2%
37.6295806877 1
3.2%
37.633877318 1
3.2%
37.635798104 1
3.2%
37.6404653033 1
3.2%
37.6425634793 1
3.2%
37.6481972575 1
3.2%
37.6540946585 1
3.2%
37.6550571068 1
3.2%
37.6606851045 1
3.2%
ValueCountFrequency (%)
37.7953043807 1
3.2%
37.7843621124 1
3.2%
37.7737103432 1
3.2%
37.7689795578 1
3.2%
37.7633818124 1
3.2%
37.7533096781 1
3.2%
37.7437569011 1
3.2%
37.743309303 1
3.2%
37.7424330293 1
3.2%
37.7414215493 1
3.2%

경도
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.4665
Minimum126.35872
Maximum126.53371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T14:57:29.606413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.35872
5-th percentile126.39761
Q1126.43947
median126.47795
Q3126.49337
95-th percentile126.51751
Maximum126.53371
Range0.17499252
Interquartile range (IQR)0.05390105

Descriptive statistics

Standard deviation0.040818994
Coefficient of variation (CV)0.00032276527
Kurtosis0.21630614
Mean126.4665
Median Absolute Deviation (MAD)0.019816257
Skewness-0.79224264
Sum3920.4615
Variance0.0016661903
MonotonicityNot monotonic
2024-01-28T14:57:29.703845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.4353383016 1
 
3.2%
126.4960767421 1
 
3.2%
126.4919897559 1
 
3.2%
126.4287452632 1
 
3.2%
126.4581312845 1
 
3.2%
126.4857296776 1
 
3.2%
126.4779475412 1
 
3.2%
126.5187345678 1
 
3.2%
126.4909529447 1
 
3.2%
126.4436074724 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
126.3587163044 1
3.2%
126.39760069 1
3.2%
126.3976239011 1
3.2%
126.4139080769 1
3.2%
126.4177190653 1
3.2%
126.4246189144 1
3.2%
126.4287452632 1
3.2%
126.4353383016 1
3.2%
126.4436074724 1
3.2%
126.4552361973 1
3.2%
ValueCountFrequency (%)
126.5337088285 1
3.2%
126.5187345678 1
3.2%
126.5162887629 1
3.2%
126.5049694915 1
3.2%
126.5003730032 1
3.2%
126.4976811444 1
3.2%
126.4960767421 1
3.2%
126.4938786758 1
3.2%
126.4928691983 1
3.2%
126.4919897559 1
3.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-07-14 00:00:00
Maximum2022-07-14 00:00:00
2024-01-28T14:57:29.792439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:57:29.874623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T14:57:27.657348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:57:27.482806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:57:27.738085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:57:27.571174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:57:30.155593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명대상시설구분소재지위도경도
시설명1.0001.0001.0001.0001.000
대상시설구분1.0001.0001.0000.1450.000
소재지1.0001.0001.0001.0001.000
위도1.0000.1451.0001.0000.788
경도1.0000.0001.0000.7881.000
2024-01-28T14:57:30.233885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대상시설구분
위도1.000-0.3950.000
경도-0.3951.0000.000
대상시설구분0.0000.0001.000

Missing values

2024-01-28T14:57:27.833728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:57:27.920803image/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

관리기관명시설명대상시설구분소재지위도경도데이터기준일자
0인천광역시 강화군강화역사박물관박물관인천광역시 강화군 하점면 강화대로 994-1937.77371126.4353382022-07-14
1인천광역시 강화군강화병원의료기관인천광역시 강화군 강화읍 강화대로312번길 1137.742433126.4960772022-07-14
2인천광역시 강화군강화희망병원의료기관인천광역시 강화군 송해면 강화대로 74337.763382126.4605732022-07-14
3인천광역시 강화군강화남부군립키즈카페어린이놀이시설인천광역시 강화군 길상면 해란길32번길 9137.642563126.4867412022-07-14
4인천광역시 강화군해주병원의료기관인천광역시 강화군 하점면 창후로 28637.76898126.3587162022-07-14
5인천광역시 강화군강화남산군립어린이집어린이집인천광역시 강화군 강화읍 충렬사로 15537.729255126.4748522022-07-14
6인천광역시 강화군코끼리어린이집어린이집인천광역시 강화군 강화읍 충렬사로 52-237.736004126.4827992022-07-14
7인천광역시 강화군길상군립어린이집어린이집인천광역시 강화군 길상면 길상로95번길 37-1137.633877126.5162892022-07-14
8인천광역시 강화군불은군립어린이집어린이집인천광역시 강화군 불은면 덕진로 21637.654095126.5049692022-07-14
9인천광역시 강화군하점군립어린이집어린이집인천광역시 강화군 하점면 고려산로 464-1437.75331126.3976012022-07-14
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21인천광역시 강화군강화은혜전문요양원노인요양시설인천광역시 강화군 불은면 강화동로314번길 2237.665381126.4938792022-07-14
22인천광역시 강화군바다의별요양원노인요양시설인천광역시 강화군 선원면 시리미로 4237.724858126.4744712022-07-14
23인천광역시 강화군삼성너싱홈노인요양시설인천광역시 강화군 불은면 중앙로 67137.704915126.4436072022-07-14
24인천광역시 강화군성안나의 집노인요양시설인천광역시 강화군 길상면 전등사로 7937.635798126.4909532022-07-14
25인천광역시 강화군아름다운실버타운노인요양시설인천광역시 강화군 불은면 해안동로283번길 1737.648197126.5187352022-07-14
26인천광역시 강화군호세요양원노인요양시설인천광역시 강화군 불은면 고려왕릉로 37637.674166126.4779482022-07-14
27인천광역시 강화군비에스종합병원의료기관인천광역시 강화군 강화읍 충렬사로 3137.736065126.485732022-07-14
28인천광역시 강화군진남요양원노인요양시설인천광역시 강화군 양도면 고려왕릉로139번길 10-1137.660685126.4581312022-07-14
29인천광역시 강화군강화백석노인전문요양원노인요양시설인천광역시 강화군 양도면 강화남로 59637.655057126.4287452022-07-14
30인천광역시 강화군사랑의집노인요양원노인요양시설인천광역시 강화군 길상면 길상로 32937.640465126.491992022-07-14