gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	429
Missing cells	1337
Missing cells (%)	19.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	57.5 KiB
Average record size in memory	137.3 B

Variable types

Categorical	4
Text	4
Numeric	8

Dataset

Description	공공체육시설 현황(게이트볼)
Author	경기도
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4844QIAMD1068FG30V044482573&infSeq=1

Alerts

`집계년도` has constant value ""	Constant
`시군명` is highly overall correlated with `연면적(㎡)` and 2 other fields	High correlation
`소유기관명` is highly overall correlated with `연면적(㎡)` and 2 other fields	High correlation
`부지면적(㎡)` is highly overall correlated with `건축면적(㎡)` and 1 other fields	High correlation
`건축면적(㎡)` is highly overall correlated with `부지면적(㎡)` and 2 other fields	High correlation
`연면적(㎡)` is highly overall correlated with `부지면적(㎡)` and 6 other fields	High correlation
`경기장합계면적(㎡)` is highly overall correlated with `연면적(㎡)` and 1 other fields	High correlation
`면적(㎡)` is highly overall correlated with `연면적(㎡)` and 1 other fields	High correlation
`건설사업비(백만원)` is highly overall correlated with `건축면적(㎡)` and 4 other fields	High correlation
`가능종목명` is highly overall correlated with `건설사업비(백만원)`	High correlation
`가능종목명` is highly imbalanced (80.2%)	Imbalance
`관리주체명` has 14 (3.3%) missing values	Missing
`부지면적(㎡)` has 21 (4.9%) missing values	Missing
`건축면적(㎡)` has 141 (32.9%) missing values	Missing
`연면적(㎡)` has 173 (40.3%) missing values	Missing
`경기장합계면적(㎡)` has 85 (19.8%) missing values	Missing
`면적(㎡)` has 85 (19.8%) missing values	Missing
`게이트볼장규격` has 52 (12.1%) missing values	Missing
`면수` has 44 (10.3%) missing values	Missing
`준공연도` has 68 (15.9%) missing values	Missing
`건설사업비(백만원)` has 269 (62.7%) missing values	Missing
`비고사항` has 385 (89.7%) missing values	Missing

Reproduction

Analysis started	2023-12-22 21:19:56.885749
Analysis finished	2023-12-22 21:20:33.259749
Duration	36.37 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

집계년도
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

2021	429

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	429	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	429	100.0%

시군명
Categorical

HIGH CORRELATION

Distinct	30
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

포천시	46
화성시	44
용인시	34
이천시	33
수원시	33
Other values (25)	239

Length

Max length	4
Median length	3
Mean length	3.0839161
Min length	3

Unique

Unique	5 ?
Unique (%)	1.2%

Sample

1st row	가평군
2nd row	가평군
3rd row	가평군
4th row	가평군
5th row	가평군

Common Values

Value	Count	Frequency (%)
포천시	46	10.7%
화성시	44	10.3%
용인시	34	7.9%
이천시	33	7.7%
수원시	33	7.7%
양평군	26	6.1%
남양주시	24	5.6%
가평군	24	5.6%
파주시	21	4.9%
안성시	20	4.7%
Other values (20)	124	28.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
포천시	46	10.7%
화성시	44	10.3%
용인시	34	7.9%
이천시	33	7.7%
수원시	33	7.7%
양평군	26	6.1%
남양주시	24	5.6%
가평군	24	5.6%
파주시	21	4.9%
안성시	20	4.7%
Other values (20)	124	28.9%

시설명
Text

Distinct	425
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Length

Max length	31
Median length	27
Mean length	10.400932
Min length	5

Characters and Unicode

Total characters	4462
Distinct characters	276
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	421 ?
Unique (%)	98.1%

Sample

1st row	방일리 게이트볼장
2nd row	조종 게이트볼장
3rd row	신천리 게이트볼장
4th row	달전리 게이트볼장
5th row	읍내리 게이트볼장

Value	Count	Frequency (%)
게이트볼장	293	35.7%
전천후	10	1.2%
하부	5	0.6%
내	4	0.5%
앞	4	0.5%
체육공원	4	0.5%
옆	4	0.5%
교량하부	3	0.4%
종합운동장	3	0.4%
여기산	3	0.4%
Other values (469)	487	59.4%

Most occurring characters

Value	Count	Frequency (%)
장	433	9.7%
이	424	9.5%
트	414	9.3%
볼	412	9.2%
게	412	9.2%
	406	9.1%
리	155	3.5%
원	111	2.5%
공	100	2.2%
동	93	2.1%
Other values (266)	1502	33.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3926	88.0%
Space Separator	406	9.1%
Decimal Number	91	2.0%
Open Punctuation	18	0.4%
Close Punctuation	18	0.4%
Dash Punctuation	1	< 0.1%
Uppercase Letter	1	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
장	433	11.0%
이	424	10.8%
트	414	10.5%
볼	412	10.5%
게	412	10.5%
리	155	3.9%
원	111	2.8%
공	100	2.5%
동	93	2.4%
육	38	1.0%
Other values (251)	1334	34.0%

Decimal Number

Value	Count	Frequency (%)
1	32	35.2%
2	26	28.6%
3	13	14.3%
0	6	6.6%
6	5	5.5%
4	5	5.5%
5	2	2.2%
7	1	1.1%
9	1	1.1%

Space Separator

Value	Count	Frequency (%)
	406	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	18	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	18	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Uppercase Letter

Value	Count	Frequency (%)
P	1	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3926	88.0%
Common	535	12.0%
Latin	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
장	433	11.0%
이	424	10.8%
트	414	10.5%
볼	412	10.5%
게	412	10.5%
리	155	3.9%
원	111	2.8%
공	100	2.5%
동	93	2.4%
육	38	1.0%
Other values (251)	1334	34.0%

Common

Value	Count	Frequency (%)
	406	75.9%
1	32	6.0%
2	26	4.9%
(	18	3.4%
)	18	3.4%
3	13	2.4%
0	6	1.1%
6	5	0.9%
4	5	0.9%
5	2	0.4%
Other values (4)	4	0.7%

Latin

Value	Count	Frequency (%)
P	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3926	88.0%
ASCII	536	12.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
장	433	11.0%
이	424	10.8%
트	414	10.5%
볼	412	10.5%
게	412	10.5%
리	155	3.9%
원	111	2.8%
공	100	2.5%
동	93	2.4%
육	38	1.0%
Other values (251)	1334	34.0%

ASCII

Value	Count	Frequency (%)
	406	75.7%
1	32	6.0%
2	26	4.9%
(	18	3.4%
)	18	3.4%
3	13	2.4%
0	6	1.1%
6	5	0.9%
4	5	0.9%
5	2	0.4%
Other values (5)	5	0.9%

소유기관명
Categorical

HIGH CORRELATION

Distinct	30
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

포천시	46
화성시	44
용인시	34
이천시	33
수원시	33
Other values (25)	239

Length

Max length	4
Median length	3
Mean length	3.0839161
Min length	3

Unique

Unique	5 ?
Unique (%)	1.2%

Sample

1st row	가평군
2nd row	가평군
3rd row	가평군
4th row	가평군
5th row	가평군

Common Values

Value	Count	Frequency (%)
포천시	46	10.7%
화성시	44	10.3%
용인시	34	7.9%
이천시	33	7.7%
수원시	33	7.7%
양평군	26	6.1%
남양주시	24	5.6%
가평군	24	5.6%
파주시	21	4.9%
안성시	20	4.7%
Other values (20)	124	28.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
포천시	46	10.7%
화성시	44	10.3%
용인시	34	7.9%
이천시	33	7.7%
수원시	33	7.7%
양평군	26	6.1%
남양주시	24	5.6%
가평군	24	5.6%
파주시	21	4.9%
안성시	20	4.7%
Other values (20)	124	28.9%

관리주체명
Text

MISSING

Distinct	78
Distinct (%)	18.8%
Missing	14
Missing (%)	3.3%
Memory size	3.5 KiB

Length

Max length	16
Median length	3
Mean length	4.7060241
Min length	3

Characters and Unicode

Total characters	1953
Distinct characters	126
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	9.2%

Sample

1st row	가평군
2nd row	가평군
3rd row	가평군
4th row	가평군
5th row	가평군

Value	Count	Frequency (%)
포천시	45	9.9%
용인시	33	7.3%
이천시	33	7.3%
남양주시	24	5.3%
가평군	24	5.3%
화성도시공사	23	5.1%
안성시	20	4.4%
파주시	20	4.4%
녹지공원과	15	3.3%
김포시	15	3.3%
Other values (67)	201	44.4%

Most occurring characters

Value	Count	Frequency (%)
시	307	15.7%
천	97	5.0%
포	62	3.2%
성	62	3.2%
공	62	3.2%
주	61	3.1%
과	50	2.6%
사	49	2.5%
도	46	2.4%
(	45	2.3%
Other values (116)	1112	56.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1817	93.0%
Open Punctuation	45	2.3%
Close Punctuation	45	2.3%
Space Separator	39	2.0%
Decimal Number	4	0.2%
Uppercase Letter	3	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	307	16.9%
천	97	5.3%
포	62	3.4%
성	62	3.4%
공	62	3.4%
주	61	3.4%
과	50	2.8%
사	49	2.7%
도	46	2.5%
평	45	2.5%
Other values (106)	976	53.7%

Decimal Number

Value	Count	Frequency (%)
4	1	25.0%
3	1	25.0%
2	1	25.0%
1	1	25.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1	33.3%
G	1	33.3%
C	1	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	45	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	45	100.0%

Space Separator

Value	Count	Frequency (%)
	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1817	93.0%
Common	133	6.8%
Latin	3	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	307	16.9%
천	97	5.3%
포	62	3.4%
성	62	3.4%
공	62	3.4%
주	61	3.4%
과	50	2.8%
사	49	2.7%
도	46	2.5%
평	45	2.5%
Other values (106)	976	53.7%

Common

Value	Count	Frequency (%)
(	45	33.8%
)	45	33.8%
	39	29.3%
4	1	0.8%
3	1	0.8%
2	1	0.8%
1	1	0.8%

Latin

Value	Count	Frequency (%)
S	1	33.3%
G	1	33.3%
C	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1817	93.0%
ASCII	136	7.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	307	16.9%
천	97	5.3%
포	62	3.4%
성	62	3.4%
공	62	3.4%
주	61	3.4%
과	50	2.8%
사	49	2.7%
도	46	2.5%
평	45	2.5%
Other values (106)	976	53.7%

ASCII

Value	Count	Frequency (%)
(	45	33.1%
)	45	33.1%
	39	28.7%
4	1	0.7%
3	1	0.7%
2	1	0.7%
S	1	0.7%
1	1	0.7%
G	1	0.7%
C	1	0.7%

부지면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	260
Distinct (%)	63.7%
Missing	21
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	6245.0168

Minimum	0
Maximum	383436
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	0
5-th percentile	300
Q1	418
median	605
Q3	1809.5
95-th percentile	23832.65
Maximum	383436
Range	383436
Interquartile range (IQR)	1391.5

Descriptive statistics

Standard deviation	29145.932
Coefficient of variation (CV)	4.6670703
Kurtosis	104.3045
Mean	6245.0168
Median Absolute Deviation (MAD)	305
Skewness	9.5467017
Sum	2547966.8
Variance	8.4948536 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300.0	44	10.3%
500.0	25	5.8%
414.0	9	2.1%
400.0	8	1.9%
374.0	8	1.9%
594.0	7	1.6%
600.0	5	1.2%
456.0	4	0.9%
460.0	4	0.9%
575.0	3	0.7%
Other values (250)	291	67.8%
(Missing)	21	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	0.2%
183.0	1	0.2%
200.0	1	0.2%
222.0	1	0.2%
247.0	1	0.2%
270.0	1	0.2%
298.0	1	0.2%
300.0	44	10.3%
320.0	1	0.2%
325.0	1	0.2%

Value	Count	Frequency (%)
383436.0	1	0.2%
309676.0	1	0.2%
206557.0	1	0.2%
147480.0	1	0.2%
123019.0	1	0.2%
112661.0	1	0.2%
54000.0	1	0.2%
51089.5	1	0.2%
46289.0	1	0.2%
45795.0	1	0.2%

건축면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	150
Distinct (%)	52.1%
Missing	141
Missing (%)	32.9%
Infinite	0
Infinite (%)	0.0%
Mean	2322.6338

Minimum	0
Maximum	309676
Zeros	3
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	0
5-th percentile	300
Q1	357
median	456
Q3	570.5
95-th percentile	1041.6
Maximum	309676
Range	309676
Interquartile range (IQR)	213.5

Descriptive statistics

Standard deviation	20357.435
Coefficient of variation (CV)	8.7648063
Kurtosis	191.1491
Mean	2322.6338
Median Absolute Deviation (MAD)	101.63
Skewness	13.394788
Sum	668918.53
Variance	4.1442517 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300.0	42	9.8%
500.0	21	4.9%
374.0	11	2.6%
350.0	7	1.6%
391.0	6	1.4%
600.0	4	0.9%
414.0	4	0.9%
575.0	4	0.9%
460.0	4	0.9%
396.0	4	0.9%
Other values (140)	181	42.2%
(Missing)	141	32.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3	0.7%
96.0	1	0.2%
105.0	1	0.2%
246.5	1	0.2%
298.0	1	0.2%
300.0	42	9.8%
314.0	1	0.2%
320.0	2	0.5%
325.0	1	0.2%
327.0	1	0.2%

Value	Count	Frequency (%)
309676.0	1	0.2%
147480.0	1	0.2%
51089.5	1	0.2%
10465.7	1	0.2%
3627.4	1	0.2%
3255.84	1	0.2%
2901.3	1	0.2%
2800.0	1	0.2%
2568.0	1	0.2%
1700.0	1	0.2%

연면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	135
Distinct (%)	52.7%
Missing	173
Missing (%)	40.3%
Infinite	0
Infinite (%)	0.0%
Mean	588.1432

Minimum	0
Maximum	9119.59
Zeros	2
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	0
5-th percentile	300
Q1	355.75
median	456.5
Q3	558.945
95-th percentile	970
Maximum	9119.59
Range	9119.59
Interquartile range (IQR)	203.195

Descriptive statistics

Standard deviation	747.2782
Coefficient of variation (CV)	1.2705719
Kurtosis	79.159921
Mean	588.1432
Median Absolute Deviation (MAD)	102
Skewness	8.0784962
Sum	150564.66
Variance	558424.71
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300.0	38	8.9%
500.0	19	4.4%
374.0	10	2.3%
350.0	6	1.4%
600.0	6	1.4%
391.0	6	1.4%
380.0	5	1.2%
460.0	4	0.9%
396.0	4	0.9%
495.0	3	0.7%
Other values (125)	155	36.1%
(Missing)	173	40.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2	0.5%
81.0	1	0.2%
96.0	1	0.2%
246.5	1	0.2%
298.0	1	0.2%
300.0	38	8.9%
314.0	1	0.2%
320.0	1	0.2%
325.0	1	0.2%
327.0	1	0.2%

Value	Count	Frequency (%)
9119.59	1	0.2%
6081.0	1	0.2%
3627.0	1	0.2%
3196.04	1	0.2%
2800.0	1	0.2%
2607.0	1	0.2%
1700.0	1	0.2%
1468.0	1	0.2%
1425.0	1	0.2%
1200.0	2	0.5%

가능종목명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

게이트볼	399
<NA>	28
게이트볼(실내)게이트볼(실외)	1
게이트볼장	1

Length

Max length	16
Median length	4
Mean length	4.030303
Min length	4

Unique

Unique	2 ?
Unique (%)	0.5%

Sample

1st row	게이트볼
2nd row	게이트볼
3rd row	게이트볼
4th row	게이트볼
5th row	게이트볼

Common Values

Value	Count	Frequency (%)
게이트볼	399	93.0%
<NA>	28	6.5%
게이트볼(실내)게이트볼(실외)	1	0.2%
게이트볼장	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
게이트볼	399	93.0%
na	28	6.5%
게이트볼(실내)게이트볼(실외	1	0.2%
게이트볼장	1	0.2%

경기장합계면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	111
Distinct (%)	32.3%
Missing	85
Missing (%)	19.8%
Infinite	0
Infinite (%)	0.0%
Mean	503.70959

Minimum	20
Maximum	4002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	20
5-th percentile	300
Q1	300
median	400
Q3	500
95-th percentile	921.45
Maximum	4002
Range	3982
Interquartile range (IQR)	200

Descriptive statistics

Standard deviation	459.66673
Coefficient of variation (CV)	0.91256298
Kurtosis	31.855149
Mean	503.70959
Median Absolute Deviation (MAD)	100
Skewness	5.2452718
Sum	173276.1
Variance	211293.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300.0	118	27.5%
500.0	25	5.8%
600.0	14	3.3%
414.0	11	2.6%
374.0	9	2.1%
400.0	7	1.6%
594.0	7	1.6%
350.0	6	1.4%
456.0	5	1.2%
391.0	5	1.2%
Other values (101)	137	31.9%
(Missing)	85	19.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20.0	2	0.5%
69.0	1	0.2%
154.0	1	0.2%
183.0	1	0.2%
200.0	1	0.2%
298.0	1	0.2%
300.0	118	27.5%
304.0	1	0.2%
320.0	2	0.5%
325.0	1	0.2%

Value	Count	Frequency (%)
4002.0	1	0.2%
3975.0	1	0.2%
3627.0	1	0.2%
3222.0	1	0.2%
2863.0	1	0.2%
2740.0	1	0.2%
2450.0	1	0.2%
2018.0	1	0.2%
1612.8	1	0.2%
1560.0	1	0.2%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	111
Distinct (%)	32.3%
Missing	85
Missing (%)	19.8%
Infinite	0
Infinite (%)	0.0%
Mean	503.70959

Minimum	20
Maximum	4002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	20
5-th percentile	300
Q1	300
median	400
Q3	500
95-th percentile	921.45
Maximum	4002
Range	3982
Interquartile range (IQR)	200

Descriptive statistics

Standard deviation	459.66673
Coefficient of variation (CV)	0.91256298
Kurtosis	31.855149
Mean	503.70959
Median Absolute Deviation (MAD)	100
Skewness	5.2452718
Sum	173276.1
Variance	211293.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300.0	118	27.5%
500.0	25	5.8%
600.0	14	3.3%
414.0	11	2.6%
374.0	9	2.1%
400.0	7	1.6%
594.0	7	1.6%
350.0	6	1.4%
456.0	5	1.2%
391.0	5	1.2%
Other values (101)	137	31.9%
(Missing)	85	19.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20.0	2	0.5%
69.0	1	0.2%
154.0	1	0.2%
183.0	1	0.2%
200.0	1	0.2%
298.0	1	0.2%
300.0	118	27.5%
304.0	1	0.2%
320.0	2	0.5%
325.0	1	0.2%

Value	Count	Frequency (%)
4002.0	1	0.2%
3975.0	1	0.2%
3627.0	1	0.2%
3222.0	1	0.2%
2863.0	1	0.2%
2740.0	1	0.2%
2450.0	1	0.2%
2018.0	1	0.2%
1612.8	1	0.2%
1560.0	1	0.2%

게이트볼장규격
Text

MISSING

Distinct	92
Distinct (%)	24.4%
Missing	52
Missing (%)	12.1%
Memory size	3.5 KiB

Length

Max length	12
Median length	5
Mean length	5.9257294
Min length	3

Characters and Unicode

Total characters	2234
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	13.8%

Sample

1st row	20m×15m
2nd row	20m×15m
3rd row	20m×15m
4th row	20m×15m
5th row	20m×15m

Value	Count	Frequency (%)
20m×15m	83	20.0%
15x20	35	8.4%
22x17	24	5.8%
15×20	23	5.5%
20×15m	19	4.6%
x	18	4.3%
20×15	16	3.9%
25m×20m	14	3.4%
20*25	12	2.9%
20m	11	2.7%
Other values (85)	160	38.6%

Most occurring characters

Value	Count	Frequency (%)
2	501	22.4%
1	305	13.7%
0	299	13.4%
m	299	13.4%
5	259	11.6%
×	211	9.4%
x	105	4.7%
*	58	2.6%
7	50	2.2%
	38	1.7%
Other values (8)	109	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1516	67.9%
Lowercase Letter	404	18.1%
Math Symbol	211	9.4%
Other Punctuation	63	2.8%
Space Separator	38	1.7%
Uppercase Letter	2	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	501	33.0%
1	305	20.1%
0	299	19.7%
5	259	17.1%
7	50	3.3%
8	33	2.2%
3	32	2.1%
4	16	1.1%
6	11	0.7%
9	10	0.7%

Other Punctuation

Value	Count	Frequency (%)
*	58	92.1%
.	3	4.8%
,	2	3.2%

Lowercase Letter

Value	Count	Frequency (%)
m	299	74.0%
x	105	26.0%

Math Symbol

Value	Count	Frequency (%)
×	211	100.0%

Space Separator

Value	Count	Frequency (%)
	38	100.0%

Uppercase Letter

Value	Count	Frequency (%)
X	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1828	81.8%
Latin	406	18.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	501	27.4%
1	305	16.7%
0	299	16.4%
5	259	14.2%
×	211	11.5%
*	58	3.2%
7	50	2.7%
	38	2.1%
8	33	1.8%
3	32	1.8%
Other values (5)	42	2.3%

Latin

Value	Count	Frequency (%)
m	299	73.6%
x	105	25.9%
X	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2023	90.6%
None	211	9.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	501	24.8%
1	305	15.1%
0	299	14.8%
m	299	14.8%
5	259	12.8%
x	105	5.2%
*	58	2.9%
7	50	2.5%
	38	1.9%
8	33	1.6%
Other values (7)	76	3.8%

None

Value	Count	Frequency (%)
×	211	100.0%

면수
Real number (ℝ)

MISSING

Distinct	6
Distinct (%)	1.6%
Missing	44
Missing (%)	10.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.2051948

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5836077
Coefficient of variation (CV)	0.48424346
Kurtosis	28.869213
Mean	1.2051948
Median Absolute Deviation (MAD)	0
Skewness	4.5982678
Sum	464
Variance	0.34059794
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	324	75.5%
2	52	12.1%
3	5	1.2%
6	2	0.5%
4	1	0.2%
5	1	0.2%
(Missing)	44	10.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	324	75.5%
2	52	12.1%
3	5	1.2%
4	1	0.2%
5	1	0.2%
6	2	0.5%

Value	Count	Frequency (%)
6	2	0.5%
5	1	0.2%
4	1	0.2%
3	5	1.2%
2	52	12.1%
1	324	75.5%

준공연도
Real number (ℝ)

MISSING

Distinct	27
Distinct (%)	7.5%
Missing	68
Missing (%)	15.9%
Infinite	0
Infinite (%)	0.0%
Mean	2009.9446

Minimum	1992
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	1992
5-th percentile	2001
Q1	2007
median	2010
Q3	2013
95-th percentile	2019
Maximum	2021
Range	29
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.2569774
Coefficient of variation (CV)	0.0026154837
Kurtosis	0.14044498
Mean	2009.9446
Median Absolute Deviation (MAD)	3
Skewness	-0.36738877
Sum	725590
Variance	27.635811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
2009	37	8.6%
2011	35	8.2%
2010	31	7.2%
2012	26	6.1%
2008	25	5.8%
2013	21	4.9%
2014	21	4.9%
2006	18	4.2%
2004	15	3.5%
2007	14	3.3%
Other values (17)	118	27.5%
(Missing)	68	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1992	1	0.2%
1994	2	0.5%
1997	1	0.2%
1998	4	0.9%
1999	3	0.7%
2000	7	1.6%
2001	9	2.1%
2002	7	1.6%
2003	8	1.9%
2004	15	3.5%

Value	Count	Frequency (%)
2021	2	0.5%
2020	4	0.9%
2019	13	3.0%
2018	11	2.6%
2017	13	3.0%
2016	11	2.6%
2015	13	3.0%
2014	21	4.9%
2013	21	4.9%
2012	26	6.1%

건설사업비(백만원)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	87
Distinct (%)	54.4%
Missing	269
Missing (%)	62.7%
Infinite	0
Infinite (%)	0.0%
Mean	606.7875

Minimum	18
Maximum	21026
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	18
5-th percentile	27.85
Q1	70.75
median	140
Q3	254.25
95-th percentile	1063.25
Maximum	21026
Range	21008
Interquartile range (IQR)	183.5

Descriptive statistics

Standard deviation	2385.3032
Coefficient of variation (CV)	3.9310355
Kurtosis	48.43687
Mean	606.7875
Median Absolute Deviation (MAD)	90
Skewness	6.7768979
Sum	97086
Variance	5689671.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	8	1.9%
120	7	1.6%
100	7	1.6%
250	6	1.4%
140	5	1.2%
70	5	1.2%
150	4	0.9%
90	4	0.9%
25	4	0.9%
50	4	0.9%
Other values (77)	106	24.7%
(Missing)	269	62.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	2	0.5%
20	1	0.2%
23	1	0.2%
25	4	0.9%
28	1	0.2%
30	1	0.2%
32	2	0.5%
34	1	0.2%
36	1	0.2%
37	1	0.2%

Value	Count	Frequency (%)
21026	1	0.2%
15319	1	0.2%
14005	1	0.2%
7500	1	0.2%
2930	1	0.2%
2651	1	0.2%
2110	1	0.2%
1600	1	0.2%
1035	2	0.5%
904	1	0.2%

비고사항
Text

MISSING

Distinct	36
Distinct (%)	81.8%
Missing	385
Missing (%)	89.7%
Memory size	3.5 KiB

Length

Max length	16
Median length	14.5
Mean length	8.2727273
Min length	2

Characters and Unicode

Total characters	364
Distinct characters	114
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	70.5%

Sample

1st row	복합시설
2nd row	한강신도시 제16호 근린공원내
3rd row	좌석수 7석
4th row	좌석수 없음
5th row	동성교회 내

Value	Count	Frequency (%)
추가	6	7.1%
시설	6	7.1%
내	5	5.9%
전천후	4	4.7%
부지내	3	3.5%
누락분	3	3.5%
2018	2	2.4%
위치	2	2.4%
신설	2	2.4%
좌석수	2	2.4%
Other values (47)	50	58.8%

Most occurring characters

Value	Count	Frequency (%)
	42	11.5%
내	22	6.0%
원	17	4.7%
공	16	4.4%
육	13	3.6%
체	13	3.6%
설	9	2.5%
지	8	2.2%
시	8	2.2%
천	7	1.9%
Other values (104)	209	57.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	302	83.0%
Space Separator	42	11.5%
Decimal Number	16	4.4%
Close Punctuation	2	0.5%
Open Punctuation	2	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
내	22	7.3%
원	17	5.6%
공	16	5.3%
육	13	4.3%
체	13	4.3%
설	9	3.0%
지	8	2.6%
시	8	2.6%
천	7	2.3%
부	6	2.0%
Other values (95)	183	60.6%

Decimal Number

Value	Count	Frequency (%)
2	4	25.0%
1	4	25.0%
0	3	18.8%
8	3	18.8%
6	1	6.2%
7	1	6.2%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	302	83.0%
Common	62	17.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
내	22	7.3%
원	17	5.6%
공	16	5.3%
육	13	4.3%
체	13	4.3%
설	9	3.0%
지	8	2.6%
시	8	2.6%
천	7	2.3%
부	6	2.0%
Other values (95)	183	60.6%

Common

Value	Count	Frequency (%)
	42	67.7%
2	4	6.5%
1	4	6.5%
0	3	4.8%
8	3	4.8%
)	2	3.2%
(	2	3.2%
6	1	1.6%
7	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	302	83.0%
ASCII	62	17.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	42	67.7%
2	4	6.5%
1	4	6.5%
0	3	4.8%
8	3	4.8%
)	2	3.2%
(	2	3.2%
6	1	1.6%
7	1	1.6%

Hangul

Value	Count	Frequency (%)
내	22	7.3%
원	17	5.6%
공	16	5.3%
육	13	4.3%
체	13	4.3%
설	9	3.0%
지	8	2.6%
시	8	2.6%
천	7	2.3%
부	6	2.0%
Other values (95)	183	60.6%

Heatmap
Table

	시군명	소유기관명	관리주체명	부지면적(㎡)	건축면적(㎡)	연면적(㎡)	가능종목명	경기장합계면적(㎡)	면적(㎡)	게이트볼장규격	면수	준공연도	건설사업비(백만원)	비고사항
시군명	1.000	1.000	1.000	0.703	0.000	0.825	0.509	0.649	0.649	0.967	0.798	0.396	0.919	1.000
소유기관명	1.000	1.000	1.000	0.703	0.000	0.825	0.509	0.649	0.649	0.967	0.798	0.396	0.919	1.000
관리주체명	1.000	1.000	1.000	0.895	0.334	0.894	0.899	0.933	0.933	0.964	0.843	0.662	0.889	0.969
부지면적(㎡)	0.703	0.703	0.895	1.000	0.882	0.359	0.000	0.051	0.051	0.000	0.000	0.000	0.724	1.000
건축면적(㎡)	0.000	0.000	0.334	0.882	1.000	NaN	0.000	0.000	0.000	0.668	0.000	NaN	NaN	NaN
연면적(㎡)	0.825	0.825	0.894	0.359	NaN	1.000	0.363	0.717	0.717	0.409	0.923	0.250	0.710	1.000
가능종목명	0.509	0.509	0.899	0.000	0.000	0.363	1.000	0.000	0.000	0.000	0.000	0.000	0.937	NaN
경기장합계면적(㎡)	0.649	0.649	0.933	0.051	0.000	0.717	0.000	1.000	1.000	0.000	0.707	0.229	0.000	0.847
면적(㎡)	0.649	0.649	0.933	0.051	0.000	0.717	0.000	1.000	1.000	0.000	0.707	0.229	0.000	0.847
게이트볼장규격	0.967	0.967	0.964	0.000	0.668	0.409	0.000	0.000	0.000	1.000	0.257	0.780	0.634	0.993
면수	0.798	0.798	0.843	0.000	0.000	0.923	0.000	0.707	0.707	0.257	1.000	0.097	0.000	0.961
준공연도	0.396	0.396	0.662	0.000	NaN	0.250	0.000	0.229	0.229	0.780	0.097	1.000	0.093	0.521
건설사업비(백만원)	0.919	0.919	0.889	0.724	NaN	0.710	0.937	0.000	0.000	0.634	0.000	0.093	1.000	1.000
비고사항	1.000	1.000	0.969	1.000	NaN	1.000	NaN	0.847	0.847	0.993	0.961	0.521	1.000	1.000

Heatmap
Table

	시군명	가능종목명	소유기관명
시군명	1.000	0.293	1.000
가능종목명	0.293	1.000	0.293
소유기관명	1.000	0.293	1.000

Heatmap
Table

	부지면적(㎡)	건축면적(㎡)	연면적(㎡)	경기장합계면적(㎡)	면적(㎡)	면수	준공연도	건설사업비(백만원)	시군명	소유기관명	가능종목명
부지면적(㎡)	1.000	0.597	0.588	0.188	0.188	0.307	0.197	0.280	0.374	0.374	0.000
건축면적(㎡)	0.597	1.000	0.989	0.496	0.496	0.422	0.127	0.533	0.000	0.000	0.000
연면적(㎡)	0.588	0.989	1.000	0.521	0.521	0.436	0.143	0.530	0.535	0.535	0.259
경기장합계면적(㎡)	0.188	0.496	0.521	1.000	1.000	0.422	0.055	0.414	0.297	0.297	0.000
면적(㎡)	0.188	0.496	0.521	1.000	1.000	0.422	0.055	0.414	0.297	0.297	0.000
면수	0.307	0.422	0.436	0.422	0.422	1.000	-0.070	0.284	0.496	0.496	0.000
준공연도	0.197	0.127	0.143	0.055	0.055	-0.070	1.000	0.341	0.146	0.146	0.000
건설사업비(백만원)	0.280	0.533	0.530	0.414	0.414	0.284	0.341	1.000	0.607	0.607	0.689
시군명	0.374	0.000	0.535	0.297	0.297	0.496	0.146	0.607	1.000	1.000	0.293
소유기관명	0.374	0.000	0.535	0.297	0.297	0.496	0.146	0.607	1.000	1.000	0.293
가능종목명	0.000	0.000	0.259	0.000	0.000	0.000	0.000	0.689	0.293	0.293	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	집계년도	시군명	시설명	소유기관명	관리주체명	부지면적(㎡)	건축면적(㎡)	연면적(㎡)	가능종목명	경기장합계면적(㎡)	면적(㎡)	게이트볼장규격	면수	준공연도	건설사업비(백만원)	비고사항
0	2021	가평군	방일리 게이트볼장	가평군	가평군	1102.0	498.4	498.4	게이트볼	300.0	300.0	20m×15m	1	2012	115	<NA>
1	2021	가평군	조종 게이트볼장	가평군	가평군	2652.0	432.0	432.0	게이트볼	300.0	300.0	20m×15m	1	2010	133	<NA>
2	2021	가평군	신천리 게이트볼장	가평군	가평군	1948.0	380.0	380.0	게이트볼	300.0	300.0	20m×15m	<NA>	2011	<NA>	<NA>
3	2021	가평군	달전리 게이트볼장	가평군	가평군	1394.0	662.0	662.0	게이트볼	300.0	300.0	20m×15m	<NA>	2011	<NA>	<NA>
4	2021	가평군	읍내리 게이트볼장	가평군	가평군	804.0	367.0	367.0	게이트볼	300.0	300.0	20m×15m	<NA>	2011	<NA>	<NA>
5	2021	가평군	가일리 소규모 다목적 실내체육관	가평군	가평군	795.0	96.0	96.0	게이트볼	300.0	300.0	20m×15m	<NA>	2019	<NA>	<NA>
6	2021	가평군	산유리 게이트볼장	가평군	가평군	4922.0	494.0	494.0	게이트볼	300.0	300.0	20m×15m	<NA>	2018	<NA>	<NA>
7	2021	가평군	창의리 게이트볼장	가평군	가평군	2250.0	300.0	300.0	게이트볼	300.0	300.0	20m×15m	<NA>	2019	<NA>	<NA>
8	2021	가평군	목동 게이트볼장	가평군	가평군	1491.0	672.0	672.0	게이트볼	300.0	300.0	20m×15m	<NA>	2011	<NA>	<NA>
9	2021	가평군	적목리 게이트볼장	가평군	가평군	3357.0	672.0	672.0	게이트볼	300.0	300.0	20m×15m	<NA>	2015	<NA>	<NA>

	집계년도	시군명	시설명	소유기관명	관리주체명	부지면적(㎡)	건축면적(㎡)	연면적(㎡)	가능종목명	경기장합계면적(㎡)	면적(㎡)	게이트볼장규격	면수	준공연도	건설사업비(백만원)	비고사항
419	2021	화성시	병점1동 동네체육시설	화성시	화성도시공사	183.0	<NA>	<NA>	게이트볼	183.0	183.0	18*10	1	2005	<NA>	<NA>
420	2021	화성시	동탄구봉산 게이트볼장	화성시	화성도시공사	374.0	<NA>	<NA>	게이트볼	374.0	374.0	22x17	1	2008	<NA>	<NA>
421	2021	화성시	중2리동네체육시설	화성시	화성도시공사	200.0	<NA>	<NA>	게이트볼	200.0	200.0	20x10	1	2002	<NA>	<NA>
422	2021	화성시	기배역사공원	화성시	화성도시공사	400.0	<NA>	<NA>	게이트볼	400.0	400.0	20x20	1	2018	<NA>	<NA>
423	2021	화성시	팔탄구장 게이트볼장	화성시	화성시	500.0	350.0	350.0	게이트볼	350.0	350.0	15×20	1	2007	117	<NA>
424	2021	화성시	팔탄율암 게이트볼장	화성시	율암1리새마을회	1355.0	450.0	450.0	게이트볼	450.0	450.0	15×20	1	1994	18	<NA>
425	2021	화성시	서신 게이트볼장	화성시	화성시	1500.0	350.0	350.0	게이트볼	350.0	350.0	15×20	1	2004	28	<NA>
426	2021	화성시	송산 게이트볼장	화성시	화성시	2000.0	1200.0	1200.0	게이트볼	1200.0	1200.0	15×20	3	2001	180	<NA>
427	2021	화성시	마도 게이트볼장	화성시	화성시	450.0	350.0	350.0	게이트볼	350.0	350.0	15×20	1	2002	250	<NA>
428	2021	화성시	향남2 화합공원 게이트볼장	화성시	화성도시공사	414.0	414.0	<NA>	게이트볼	414.0	414.0	22x17	1	2017	<NA>	<NA>

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Uppercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Open Punctuation

Close Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Lowercase Letter

Math Symbol

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks