Overview

Dataset statistics

Number of variables9
Number of observations303
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory74.4 B

Variable types

Text2
Categorical3
Numeric2
DateTime2

Dataset

Description충청북도 진천군의 마을회관 정보입니다. 상세내용은 읍 면 별 마을별 마을회관명, 주소, 규모, 위도 경도등의 정보를 포함하고 있습니다.
Author충청북도 진천군
URLhttps://www.data.go.kr/data/15007453/fileData.do

Alerts

영업상태명 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-14 20:45:41.123917
Analysis finished2024-03-14 20:45:43.267585
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct292
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-15T05:45:43.970279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.4158416
Min length2

Characters and Unicode

Total characters1338
Distinct characters206
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)93.1%

Sample

1st row읍내1구
2nd row중앙
3rd row읍내5구
4th row새터
5th row외두
ValueCountFrequency (%)
중리 3
 
1.0%
용소 2
 
0.7%
주공a경로당 2
 
0.7%
상목 2
 
0.7%
도장경로당 2
 
0.7%
구암 2
 
0.7%
사산경로당 2
 
0.7%
어은경로당 2
 
0.7%
수문 2
 
0.7%
학동 2
 
0.7%
Other values (284) 284
93.1%
2024-03-15T05:45:45.261747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 169
 
12.6%
경 167
 
12.5%
로 165
 
12.3%
동 22
 
1.6%
산 21
 
1.6%
구 18
 
1.3%
회 17
 
1.3%
장 17
 
1.3%
신 16
 
1.2%
암 16
 
1.2%
Other values (196) 710
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1276
95.4%
Decimal Number 28
 
2.1%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Uppercase Letter 8
 
0.6%
Other Punctuation 6
 
0.4%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 169
 
13.2%
경 167
 
13.1%
로 165
 
12.9%
동 22
 
1.7%
산 21
 
1.6%
구 18
 
1.4%
회 17
 
1.3%
장 17
 
1.3%
신 16
 
1.3%
암 16
 
1.3%
Other values (183) 648
50.8%
Decimal Number
ValueCountFrequency (%)
2 10
35.7%
1 9
32.1%
3 4
 
14.3%
4 2
 
7.1%
5 2
 
7.1%
7 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
75.0%
L 1
 
12.5%
H 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1276
95.4%
Common 54
 
4.0%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 169
 
13.2%
경 167
 
13.1%
로 165
 
12.9%
동 22
 
1.7%
산 21
 
1.6%
구 18
 
1.4%
회 17
 
1.3%
장 17
 
1.3%
신 16
 
1.3%
암 16
 
1.3%
Other values (183) 648
50.8%
Common
ValueCountFrequency (%)
2 10
18.5%
( 9
16.7%
) 9
16.7%
1 9
16.7%
/ 6
11.1%
3 4
 
7.4%
4 2
 
3.7%
5 2
 
3.7%
2
 
3.7%
7 1
 
1.9%
Latin
ValueCountFrequency (%)
A 6
75.0%
L 1
 
12.5%
H 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1276
95.4%
ASCII 62
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 169
 
13.2%
경 167
 
13.1%
로 165
 
12.9%
동 22
 
1.7%
산 21
 
1.6%
구 18
 
1.4%
회 17
 
1.3%
장 17
 
1.3%
신 16
 
1.3%
암 16
 
1.3%
Other values (183) 648
50.8%
ASCII
ValueCountFrequency (%)
2 10
16.1%
( 9
14.5%
) 9
14.5%
1 9
14.5%
A 6
9.7%
/ 6
9.7%
3 4
 
6.5%
4 2
 
3.2%
5 2
 
3.2%
2
 
3.2%
Other values (3) 3
 
4.8%

시설유형
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경로당
165 
마을회관및경로당
127 
마을회관
 
11

Length

Max length8
Median length3
Mean length5.1320132
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경로당 165
54.5%
마을회관및경로당 127
41.9%
마을회관 11
 
3.6%

Length

2024-03-15T05:45:45.635637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:45:45.952252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 165
54.5%
마을회관및경로당 127
41.9%
마을회관 11
 
3.6%

소재지도로명주소
Text

Distinct299
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-15T05:45:47.507895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.966997
Min length18

Characters and Unicode

Total characters6353
Distinct characters174
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)97.4%

Sample

1st row충청북도 진천군 진천읍 중앙서1길 29
2nd row충청북도 진천군 진천읍 중앙서로 43-5
3rd row충청북도 진천군 진천읍 중앙서3길 16-9
4th row충청북도 진천군 진천읍 성석새터 2길 10
5th row충청북도 진천군 진천읍 송두1길 54
ValueCountFrequency (%)
충청북도 303
19.9%
진천군 303
19.9%
진천읍 73
 
4.8%
이월면 46
 
3.0%
덕산읍 44
 
2.9%
광혜원면 40
 
2.6%
초평면 36
 
2.4%
문백면 35
 
2.3%
백곡면 28
 
1.8%
관리동 7
 
0.5%
Other values (454) 604
39.8%
2024-03-15T05:45:49.334745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1216
19.1%
진 388
 
6.1%
천 379
 
6.0%
도 309
 
4.9%
청 305
 
4.8%
군 304
 
4.8%
충 303
 
4.8%
북 303
 
4.8%
길 253
 
4.0%
1 235
 
3.7%
Other values (164) 2358
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4085
64.3%
Space Separator 1216
 
19.1%
Decimal Number 909
 
14.3%
Dash Punctuation 118
 
1.9%
Close Punctuation 12
 
0.2%
Open Punctuation 12
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 388
 
9.5%
천 379
 
9.3%
도 309
 
7.6%
청 305
 
7.5%
군 304
 
7.4%
충 303
 
7.4%
북 303
 
7.4%
길 253
 
6.2%
면 186
 
4.6%
읍 117
 
2.9%
Other values (149) 1238
30.3%
Decimal Number
ValueCountFrequency (%)
1 235
25.9%
2 143
15.7%
3 109
12.0%
4 83
 
9.1%
5 68
 
7.5%
6 63
 
6.9%
7 60
 
6.6%
9 57
 
6.3%
8 52
 
5.7%
0 39
 
4.3%
Space Separator
ValueCountFrequency (%)
1216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4085
64.3%
Common 2268
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 388
 
9.5%
천 379
 
9.3%
도 309
 
7.6%
청 305
 
7.5%
군 304
 
7.4%
충 303
 
7.4%
북 303
 
7.4%
길 253
 
6.2%
면 186
 
4.6%
읍 117
 
2.9%
Other values (149) 1238
30.3%
Common
ValueCountFrequency (%)
1216
53.6%
1 235
 
10.4%
2 143
 
6.3%
- 118
 
5.2%
3 109
 
4.8%
4 83
 
3.7%
5 68
 
3.0%
6 63
 
2.8%
7 60
 
2.6%
9 57
 
2.5%
Other values (5) 116
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4085
64.3%
ASCII 2268
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1216
53.6%
1 235
 
10.4%
2 143
 
6.3%
- 118
 
5.2%
3 109
 
4.8%
4 83
 
3.7%
5 68
 
3.0%
6 63
 
2.8%
7 60
 
2.6%
9 57
 
2.5%
Other values (5) 116
 
5.1%
Hangul
ValueCountFrequency (%)
진 388
 
9.5%
천 379
 
9.3%
도 309
 
7.6%
청 305
 
7.5%
군 304
 
7.4%
충 303
 
7.4%
북 303
 
7.4%
길 253
 
6.2%
면 186
 
4.6%
읍 117
 
2.9%
Other values (149) 1238
30.3%

위도
Real number (ℝ)

Distinct298
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.882795
Minimum36.751118
Maximum37.001824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-15T05:45:49.682313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.751118
5-th percentile36.782352
Q136.846941
median36.879947
Q336.915644
95-th percentile36.990205
Maximum37.001824
Range0.25070575
Interquartile range (IQR)0.06870354

Descriptive statistics

Standard deviation0.058465322
Coefficient of variation (CV)0.0015851652
Kurtosis-0.39412236
Mean36.882795
Median Absolute Deviation (MAD)0.03488342
Skewness0.13202966
Sum11175.487
Variance0.0034181938
MonotonicityNot monotonic
2024-03-15T05:45:50.154593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.93150545 2
 
0.7%
36.99252438 2
 
0.7%
36.99261824 2
 
0.7%
36.99020524 2
 
0.7%
36.98885756 2
 
0.7%
36.9244349 1
 
0.3%
36.90586974 1
 
0.3%
36.88813696 1
 
0.3%
36.88633199 1
 
0.3%
36.87994739 1
 
0.3%
Other values (288) 288
95.0%
ValueCountFrequency (%)
36.75111793 1
0.3%
36.75536543 1
0.3%
36.76099815 1
0.3%
36.76233121 1
0.3%
36.77327258 1
0.3%
36.77491269 1
0.3%
36.77665655 1
0.3%
36.77689223 1
0.3%
36.77769906 1
0.3%
36.77816466 1
0.3%
ValueCountFrequency (%)
37.00182368 1
0.3%
37.00019076 1
0.3%
36.99656975 1
0.3%
36.9955495 1
0.3%
36.99468313 1
0.3%
36.99430405 1
0.3%
36.99394806 1
0.3%
36.99390209 1
0.3%
36.99371681 1
0.3%
36.99312375 1
0.3%

경도
Real number (ℝ)

Distinct299
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.45347
Minimum127.30412
Maximum127.56863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-15T05:45:50.613873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.30412
5-th percentile127.35653
Q1127.42763
median127.44585
Q3127.48858
95-th percentile127.53944
Maximum127.56863
Range0.2645015
Interquartile range (IQR)0.0609546

Descriptive statistics

Standard deviation0.052234591
Coefficient of variation (CV)0.00040983264
Kurtosis0.11215148
Mean127.45347
Median Absolute Deviation (MAD)0.0276106
Skewness-0.21714581
Sum38618.401
Variance0.0027284525
MonotonicityNot monotonic
2024-03-15T05:45:50.999753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4458515 2
 
0.7%
127.4457891 2
 
0.7%
127.443143 2
 
0.7%
127.4260656 2
 
0.7%
127.4396775 1
 
0.3%
127.5309465 1
 
0.3%
127.5280309 1
 
0.3%
127.5296264 1
 
0.3%
127.510167 1
 
0.3%
127.5353798 1
 
0.3%
Other values (289) 289
95.4%
ValueCountFrequency (%)
127.304124 1
0.3%
127.3142084 1
0.3%
127.3179042 1
0.3%
127.3203734 1
0.3%
127.3230461 1
0.3%
127.3235257 1
0.3%
127.3279625 1
0.3%
127.3286955 1
0.3%
127.3388812 1
0.3%
127.3392237 1
0.3%
ValueCountFrequency (%)
127.5686255 1
0.3%
127.5681607 1
0.3%
127.5677504 1
0.3%
127.5548051 1
0.3%
127.552354 1
0.3%
127.5507357 1
0.3%
127.5469293 1
0.3%
127.5464563 1
0.3%
127.5450566 1
0.3%
127.5443962 1
0.3%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업
303 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 303
100.0%

Length

2024-03-15T05:45:51.422279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:45:51.731289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 303
100.0%

건립일자
Date

Distinct135
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1920-01-01 00:00:00
Maximum2023-01-01 00:00:00
2024-03-15T05:45:52.045626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:45:52.475731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
충청북도 진천군청
303 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 진천군청
2nd row충청북도 진천군청
3rd row충청북도 진천군청
4th row충청북도 진천군청
5th row충청북도 진천군청

Common Values

ValueCountFrequency (%)
충청북도 진천군청 303
100.0%

Length

2024-03-15T05:45:52.953334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:45:53.262417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 303
50.0%
진천군청 303
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2024-01-09 00:00:00
Maximum2024-01-09 00:00:00
2024-03-15T05:45:53.516921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:45:53.844945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T05:45:42.048190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:45:41.635498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:45:42.243253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:45:41.844015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:45:54.056556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형위도경도
시설유형1.0000.0000.000
위도0.0001.0000.558
경도0.0000.5581.000
2024-03-15T05:45:54.299618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설유형
위도1.000-0.1730.000
경도-0.1731.0000.000
시설유형0.0000.0001.000

Missing values

2024-03-15T05:45:42.626687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:45:43.079580image/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

시설명시설유형소재지도로명주소위도경도영업상태명건립일자관리기관명데이터기준일자
0읍내1구마을회관및경로당충청북도 진천군 진천읍 중앙서1길 2936.857926127.439678영업2014-01-01충청북도 진천군청2024-01-09
1중앙마을회관및경로당충청북도 진천군 진천읍 중앙서로 43-536.855803127.442821영업2012-01-01충청북도 진천군청2024-01-09
2읍내5구마을회관및경로당충청북도 진천군 진천읍 중앙서3길 16-936.855697127.440163영업2001-01-01충청북도 진천군청2024-01-09
3새터마을회관및경로당충청북도 진천군 진천읍 성석새터 2길 1036.870976127.448658영업2005-01-01충청북도 진천군청2024-01-09
4외두마을회관및경로당충청북도 진천군 진천읍 송두1길 5436.874492127.454491영업2001-01-01충청북도 진천군청2024-01-09
5산정마을회관및경로당충청북도 진천군 진천읍 가산1길 205-436.88313127.457044영업1996-01-01충청북도 진천군청2024-01-09
6가암마을회관및경로당충청북도 진천군 진천읍 가산길 8436.880462127.470042영업2003-01-01충청북도 진천군청2024-01-09
7중가마을회관및경로당충청북도 진천군 진천읍 상신1길 1436.870721127.471846영업2002-01-01충청북도 진천군청2024-01-09
8방죽마을회관및경로당충청북도 진천군 진천읍 산척1길 10-736.853057127.483196영업2009-01-01충청북도 진천군청2024-01-09
9산직마을회관및경로당충청북도 진천군 진천읍 이상설길 129-236.861572127.480776영업2002-01-01충청북도 진천군청2024-01-09
시설명시설유형소재지도로명주소위도경도영업상태명건립일자관리기관명데이터기준일자
293실원경로당경로당충청북도 진천군 광혜원면 실원길 17436.99657127.421361영업1994-07-30충청북도 진천군청2024-01-09
294덕성경로당경로당충청북도 진천군 광혜원면 실원2길 6437.001824127.426599영업2010-07-21충청북도 진천군청2024-01-09
295무수경로당경로당충청북도 진천군 광혜원면 구암길 39636.985503127.399297영업1992-01-15충청북도 진천군청2024-01-09
296비들목경로당경로당충청북도 진천군 광혜원면 구암2길 74-1136.989127127.408771영업2009-08-12충청북도 진천군청2024-01-09
297죽동경로당경로당충청북도 진천군 광혜원면 회죽3길 7036.97667127.431257영업1993-01-07충청북도 진천군청2024-01-09
298갑을A경로당경로당충청북도 진천군 광혜원면 진광로 92336.941069127.429076영업2002-03-14충청북도 진천군청2024-01-09
299모치올경로당경로당충청북도 진천군 광혜원면 모치울길 10036.963215127.443389영업2002-10-15충청북도 진천군청2024-01-09
300월성경로당경로당충청북도 진천군 광혜원면 월성안길 9736.970898127.449866영업1990-12-10충청북도 진천군청2024-01-09
301월곡경로당경로당충청북도 진천군 광혜원면 월성길 286-436.966814127.455656영업1993-02-08충청북도 진천군청2024-01-09
302LH2단지경로당경로당충청북도 진천군 광혜원면 화랑길 2936.994304127.43988영업2022-01-13충청북도 진천군청2024-01-09