gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	48
Missing cells	176
Missing cells (%)	20.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.3 KiB
Average record size in memory	156.8 B

Variable types

Categorical	2
Text	4
DateTime	3
Numeric	9

Dataset

Description	온천 현황
Author	경기도
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2F62SUW995PMYQ1223B311745685&infSeq=1

Alerts

`적정양수량` is highly overall correlated with `개발계획면적`	High correlation
`개발계획면적` is highly overall correlated with `적정양수량`	High correlation
`소재지우편번호` is highly overall correlated with `WGS84위도` and 1 other fields	High correlation
`WGS84위도` is highly overall correlated with `소재지우편번호` and 1 other fields	High correlation
`WGS84경도` is highly overall correlated with `시군명`	High correlation
`시군명` is highly overall correlated with `소재지우편번호` and 2 other fields	High correlation
`지구지정일자` has 8 (16.7%) missing values	Missing
`온천공보호구역면적` has 19 (39.6%) missing values	Missing
`온천보호지구면적` has 35 (72.9%) missing values	Missing
`발견신고수리시기` has 1 (2.1%) missing values	Missing
`개발계획일자` has 39 (81.2%) missing values	Missing
`개발계획면적` has 42 (87.5%) missing values	Missing
`소재지우편번호` has 6 (12.5%) missing values	Missing
`소재지도로명주소` has 14 (29.2%) missing values	Missing
`소재지지번주소` has 4 (8.3%) missing values	Missing
`WGS84위도` has 4 (8.3%) missing values	Missing
`WGS84경도` has 4 (8.3%) missing values	Missing
`온천공보호구역면적` has 2 (4.2%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 21:50:59.356535
Analysis finished	2023-12-10 21:51:06.450705
Duration	7.09 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군명
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	39.6%
Missing	0
Missing (%)	0.0%
Memory size	516.0 B

화성시	8
포천시	7
여주시	5
용인시	4
이천시	3
Other values (14)	21

Length

Max length	4
Median length	3
Mean length	3.1041667
Min length	3

Unique

Unique	8 ?
Unique (%)	16.7%

Sample

1st row	가평군
2nd row	고양시
3rd row	구리시
4th row	김포시
5th row	남양주시

Common Values

Value	Count	Frequency (%)
화성시	8	16.7%
포천시	7	14.6%
여주시	5	10.4%
용인시	4	8.3%
이천시	3	6.2%
양평군	3	6.2%
동두천시	2	4.2%
평택시	2	4.2%
남양주시	2	4.2%
안산시	2	4.2%
Other values (9)	10	20.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
화성시	8	16.7%
포천시	7	14.6%
여주시	5	10.4%
용인시	4	8.3%
이천시	3	6.2%
양평군	3	6.2%
남양주시	2	4.2%
수원시	2	4.2%
안산시	2	4.2%
평택시	2	4.2%
Other values (9)	10	20.8%

온천명
Text

Distinct	47
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	516.0 B

Length

Max length	13
Median length	12
Mean length	4.1041667
Min length	1

Characters and Unicode

Total characters	197
Distinct characters	115
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	46 ?
Unique (%)	95.8%

Sample

1st row	연인산
2nd row	북한산온천 비젠
3rd row	-
4th row	약암
5th row	수동

Value	Count	Frequency (%)
평택	2	3.8%
신길동	1	1.9%
백암2	1	1.9%
연인산	1	1.9%
산정	1	1.9%
사직	1	1.9%
장암	1	1.9%
신갈(테르메덴	1	1.9%
어농	1	1.9%
이천(호텔미란다,설봉	1	1.9%
Other values (42)	42	79.2%

Most occurring characters

Value	Count	Frequency (%)
신	6	3.0%
동	6	3.0%
산	5	2.5%
암	5	2.5%
	5	2.5%
수	5	2.5%
)	4	2.0%
(	4	2.0%
스	4	2.0%
평	4	2.0%
Other values (105)	149	75.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	162	82.2%
Decimal Number	14	7.1%
Space Separator	5	2.5%
Close Punctuation	4	2.0%
Open Punctuation	4	2.0%
Dash Punctuation	3	1.5%
Other Symbol	3	1.5%
Other Punctuation	2	1.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
신	6	3.7%
동	6	3.7%
산	5	3.1%
암	5	3.1%
수	5	3.1%
스	4	2.5%
평	4	2.5%
연	3	1.9%
북	3	1.9%
화	3	1.9%
Other values (92)	118	72.8%

Decimal Number

Value	Count	Frequency (%)
1	4	28.6%
3	3	21.4%
2	2	14.3%
4	2	14.3%
0	1	7.1%
6	1	7.1%
5	1	7.1%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	165	83.8%
Common	32	16.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
신	6	3.6%
동	6	3.6%
산	5	3.0%
암	5	3.0%
수	5	3.0%
스	4	2.4%
평	4	2.4%
연	3	1.8%
북	3	1.8%
㈜	3	1.8%
Other values (93)	121	73.3%

Common

Value	Count	Frequency (%)
	5	15.6%
)	4	12.5%
(	4	12.5%
1	4	12.5%
-	3	9.4%
3	3	9.4%
2	2	6.2%
,	2	6.2%
4	2	6.2%
0	1	3.1%
Other values (2)	2	6.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	162	82.2%
ASCII	32	16.2%
None	3	1.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
신	6	3.7%
동	6	3.7%
산	5	3.1%
암	5	3.1%
수	5	3.1%
스	4	2.5%
평	4	2.5%
연	3	1.9%
북	3	1.9%
화	3	1.9%
Other values (92)	118	72.8%

ASCII

Value	Count	Frequency (%)
	5	15.6%
)	4	12.5%
(	4	12.5%
1	4	12.5%
-	3	9.4%
3	3	9.4%
2	2	6.2%
,	2	6.2%
4	2	6.2%
0	1	3.1%
Other values (2)	2	6.2%

None

Value	Count	Frequency (%)
㈜	3	100.0%

지구지정일자
Date

MISSING

Distinct	40
Distinct (%)	100.0%
Missing	8
Missing (%)	16.7%
Memory size	516.0 B

Minimum	1989-07-08 00:00:00
Maximum	2021-07-16 00:00:00

Histogram

Histogram with fixed size bins (bins=40)

성분명
Text

Distinct	25
Distinct (%)	52.1%
Missing	0
Missing (%)	0.0%
Memory size	516.0 B

Length

Max length	16
Median length	15
Mean length	7.6041667
Min length	1

Characters and Unicode

Total characters	365
Distinct characters	35
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	20 ?
Unique (%)	41.7%

Sample

1st row	Na-HCO3(Cl형)
2nd row	Na(Ca)-HCO3
3rd row	-
4th row	Na, Ca, Li, St 등
5th row	Na-CO3

Value	Count	Frequency (%)
na-hco₃	14	24.1%
알칼리성	7	12.1%
na-co₃	3	5.2%
mg	2	3.4%
na	2	3.4%
등	2	3.4%
ca	2	3.4%
na-hco3	2	3.4%
na/ca/hco3	2	3.4%
na-hco3(cl형	1	1.7%
Other values (21)	21	36.2%

Most occurring characters

Value	Count	Frequency (%)
C	49	13.4%
a	47	12.9%
O	38	10.4%
N	35	9.6%
-	34	9.3%
H	29	7.9%
₃	21	5.8%
3	13	3.6%
	10	2.7%
리	8	2.2%
Other values (25)	81	22.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	160	43.8%
Lowercase Letter	54	14.8%
Other Letter	40	11.0%
Dash Punctuation	34	9.3%
Other Number	24	6.6%
Other Punctuation	15	4.1%
Decimal Number	14	3.8%
Space Separator	10	2.7%
Close Punctuation	7	1.9%
Open Punctuation	7	1.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
리	8	20.0%
칼	8	20.0%
알	8	20.0%
성	7	17.5%
등	2	5.0%
형	1	2.5%
유	1	2.5%
물	1	2.5%
염	1	2.5%
화	1	2.5%
Other values (2)	2	5.0%

Uppercase Letter

Value	Count	Frequency (%)
C	49	30.6%
O	38	23.8%
N	35	21.9%
H	29	18.1%
S	5	3.1%
M	2	1.2%
K	1	0.6%
L	1	0.6%

Lowercase Letter

Value	Count	Frequency (%)
a	47	87.0%
l	3	5.6%
g	2	3.7%
t	1	1.9%
i	1	1.9%

Other Number

Value	Count	Frequency (%)
₃	21	87.5%
₄	3	12.5%

Decimal Number

Value	Count	Frequency (%)
3	13	92.9%
4	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
,	8	53.3%
/	7	46.7%

Dash Punctuation

Value	Count	Frequency (%)
-	34	100.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	214	58.6%
Common	111	30.4%
Hangul	40	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	49	22.9%
a	47	22.0%
O	38	17.8%
N	35	16.4%
H	29	13.6%
S	5	2.3%
l	3	1.4%
g	2	0.9%
M	2	0.9%
K	1	0.5%
Other values (3)	3	1.4%

Hangul

Value	Count	Frequency (%)
리	8	20.0%
칼	8	20.0%
알	8	20.0%
성	7	17.5%
등	2	5.0%
형	1	2.5%
유	1	2.5%
물	1	2.5%
염	1	2.5%
화	1	2.5%
Other values (2)	2	5.0%

Common

Value	Count	Frequency (%)
-	34	30.6%
₃	21	18.9%
3	13	11.7%
	10	9.0%
,	8	7.2%
/	7	6.3%
)	7	6.3%
(	7	6.3%
₄	3	2.7%
4	1	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	301	82.5%
Hangul	40	11.0%
None	24	6.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	49	16.3%
a	47	15.6%
O	38	12.6%
N	35	11.6%
-	34	11.3%
H	29	9.6%
3	13	4.3%
	10	3.3%
,	8	2.7%
/	7	2.3%
Other values (11)	31	10.3%

None

Value	Count	Frequency (%)
₃	21	87.5%
₄	3	12.5%

Hangul

Value	Count	Frequency (%)
리	8	20.0%
칼	8	20.0%
알	8	20.0%
성	7	17.5%
등	2	5.0%
형	1	2.5%
유	1	2.5%
물	1	2.5%
염	1	2.5%
화	1	2.5%
Other values (2)	2	5.0%

온천온도
Real number (ℝ)

Distinct	33
Distinct (%)	68.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.802083

Minimum	25
Maximum	36.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	25
5-th percentile	25.3
Q1	25.875
median	27.15
Q3	28.325
95-th percentile	33.8
Maximum	36.4
Range	11.4
Interquartile range (IQR)	2.45

Descriptive statistics

Standard deviation	2.7477255
Coefficient of variation (CV)	0.098831641
Kurtosis	2.1863437
Mean	27.802083
Median Absolute Deviation (MAD)	1.25
Skewness	1.6400314
Sum	1334.5
Variance	7.5499956
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
25.8	4	8.3%
26.4	2	4.2%
25.9	2	4.2%
27.2	2	4.2%
33.8	2	4.2%
26.1	2	4.2%
27.3	2	4.2%
25.7	2	4.2%
28.0	2	4.2%
26.7	2	4.2%
Other values (23)	26	54.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25.0	1	2.1%
25.1	1	2.1%
25.3	2	4.2%
25.5	1	2.1%
25.6	1	2.1%
25.7	2	4.2%
25.8	4	8.3%
25.9	2	4.2%
26.0	1	2.1%
26.1	2	4.2%

Value	Count	Frequency (%)
36.4	1	2.1%
35.2	1	2.1%
33.8	2	4.2%
33.5	1	2.1%
30.9	1	2.1%
30.2	1	2.1%
30.0	1	2.1%
29.8	1	2.1%
29.5	1	2.1%
29.0	1	2.1%

온천심도
Real number (ℝ)

Distinct	31
Distinct (%)	64.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	815.4375

Minimum	470
Maximum	1300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	470
5-th percentile	552.3
Q1	700
median	800
Q3	947.75
95-th percentile	1003.9
Maximum	1300
Range	830
Interquartile range (IQR)	247.75

Descriptive statistics

Standard deviation	168.23893
Coefficient of variation (CV)	0.20631738
Kurtosis	0.27713424
Mean	815.4375
Median Absolute Deviation (MAD)	104
Skewness	0.23291023
Sum	39141
Variance	28304.336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1000	7	14.6%
800	5	10.4%
700	4	8.3%
850	3	6.2%
750	2	4.2%
900	2	4.2%
704	1	2.1%
740	1	2.1%
630	1	2.1%
660	1	2.1%
Other values (21)	21	43.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
470	1	2.1%
481	1	2.1%
532	1	2.1%
590	1	2.1%
600	1	2.1%
630	1	2.1%
655	1	2.1%
660	1	2.1%
684	1	2.1%
697	1	2.1%

Value	Count	Frequency (%)
1300	1	2.1%
1100	1	2.1%
1006	1	2.1%
1000	7	14.6%
994	1	2.1%
959	1	2.1%
944	1	2.1%
930	1	2.1%
905	1	2.1%
900	2	4.2%

이용시설개소수
Categorical

Distinct	4
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	516.0 B

<NA>	22
1	20
0	3
2	3

Length

Max length	4
Median length	1
Mean length	2.375
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	<NA>
4th row	0
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	22	45.8%
1	20	41.7%
0	3	6.2%
2	3	6.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	22	45.8%
1	20	41.7%
0	3	6.2%
2	3	6.2%

온천공보호구역면적
Real number (ℝ)

MISSING ZEROS

Distinct	28
Distinct (%)	96.6%
Missing	19
Missing (%)	39.6%
Infinite	0
Infinite (%)	0.0%
Mean	13985.231

Minimum	0
Maximum	39828
Zeros	2
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	0
5-th percentile	400
Q1	4618
median	9000
Q3	24332
95-th percentile	37584.8
Maximum	39828
Range	39828
Interquartile range (IQR)	19714

Descriptive statistics

Standard deviation	12364.725
Coefficient of variation (CV)	0.88412731
Kurtosis	-0.64869638
Mean	13985.231
Median Absolute Deviation (MAD)	6414
Skewness	0.80677357
Sum	405571.7
Variance	1.5288642 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0.0	2	4.2%
17668.0	1	2.1%
27000.0	1	2.1%
3000.0	1	2.1%
9000.0	1	2.1%
1000.0	1	2.1%
29000.0	1	2.1%
23087.0	1	2.1%
34709.0	1	2.1%
8119.0	1	2.1%
Other values (18)	18	37.5%
(Missing)	19	39.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2	4.2%
1000.0	1	2.1%
2586.0	1	2.1%
3000.0	1	2.1%
3217.0	1	2.1%
3784.0	1	2.1%
4618.0	1	2.1%
5249.0	1	2.1%
6000.0	1	2.1%
6510.0	1	2.1%

Value	Count	Frequency (%)
39828.0	1	2.1%
39502.0	1	2.1%
34709.0	1	2.1%
29900.0	1	2.1%
29000.0	1	2.1%
27000.0	1	2.1%
26097.0	1	2.1%
24332.0	1	2.1%
23087.0	1	2.1%
17767.0	1	2.1%

온천보호지구면적
Real number (ℝ)

MISSING

Distinct	13
Distinct (%)	100.0%
Missing	35
Missing (%)	72.9%
Infinite	0
Infinite (%)	0.0%
Mean	1212798.5

Minimum	170464
Maximum	3200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	170464
5-th percentile	241390.6
Q1	592500
median	816000
Q3	1927000
95-th percentile	2986750.4
Maximum	3200000
Range	3029536
Interquartile range (IQR)	1334500

Descriptive statistics

Standard deviation	994418.52
Coefficient of variation (CV)	0.81993715
Kurtosis	-0.18793747
Mean	1212798.5
Median Absolute Deviation (MAD)	346175
Skewness	1.0681569
Sum	15766380
Variance	9.8886819 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2226000	1	2.1%
288675	1	2.1%
592500	1	2.1%
469825	1	2.1%
917707	1	2.1%
713000	1	2.1%
170464	1	2.1%
2844584	1	2.1%
3200000	1	2.1%
744625	1	2.1%
Other values (3)	3	6.2%
(Missing)	35	72.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
170464	1	2.1%
288675	1	2.1%
469825	1	2.1%
592500	1	2.1%
713000	1	2.1%
744625	1	2.1%
816000	1	2.1%
856000	1	2.1%
917707	1	2.1%
1927000	1	2.1%

Value	Count	Frequency (%)
3200000	1	2.1%
2844584	1	2.1%
2226000	1	2.1%
1927000	1	2.1%
917707	1	2.1%
856000	1	2.1%
816000	1	2.1%
744625	1	2.1%
713000	1	2.1%
592500	1	2.1%

적정양수량
Real number (ℝ)

HIGH CORRELATION

Distinct	38
Distinct (%)	79.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	824.9375

Minimum	75
Maximum	6280
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	75
5-th percentile	210
Q1	320
median	413.5
Q3	830
95-th percentile	2254
Maximum	6280
Range	6205
Interquartile range (IQR)	510

Descriptive statistics

Standard deviation	1031.1492
Coefficient of variation (CV)	1.2499725
Kurtosis	16.760834
Mean	824.9375
Median Absolute Deviation (MAD)	118
Skewness	3.667693
Sum	39597
Variance	1063268.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
320	6	12.5%
400	3	6.2%
318	2	4.2%
325	2	4.2%
210	2	4.2%
670	1	2.1%
3265	1	2.1%
538	1	2.1%
357	1	2.1%
680	1	2.1%
Other values (28)	28	58.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
75	1	2.1%
194	1	2.1%
210	2	4.2%
302	1	2.1%
303	1	2.1%
305	1	2.1%
315	1	2.1%
318	2	4.2%
319	1	2.1%
320	6	12.5%

Value	Count	Frequency (%)
6280	1	2.1%
3265	1	2.1%
2450	1	2.1%
1890	1	2.1%
1889	1	2.1%
1700	1	2.1%
1507	1	2.1%
1318	1	2.1%
1310	1	2.1%
1302	1	2.1%

발견신고수리시기
Date

MISSING

Distinct	47
Distinct (%)	100.0%
Missing	1
Missing (%)	2.1%
Memory size	516.0 B

Minimum	1987-12-21 00:00:00
Maximum	2022-01-06 00:00:00

Histogram

Histogram with fixed size bins (bins=47)

개발계획일자
Date

MISSING

Distinct	9
Distinct (%)	100.0%
Missing	39
Missing (%)	81.2%
Memory size	516.0 B

Minimum	1994-10-31 00:00:00
Maximum	2018-11-16 00:00:00

Histogram

Histogram with fixed size bins (bins=9)

개발계획면적
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6
Distinct (%)	100.0%
Missing	42
Missing (%)	87.5%
Infinite	0
Infinite (%)	0.0%
Mean	727037.83

Minimum	84000
Maximum	3200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	84000
5-th percentile	84841.5
Q1	89833.5
median	123118
Q3	595718.75
95-th percentile	2586156.2
Maximum	3200000
Range	3116000
Interquartile range (IQR)	505885.25

Descriptive statistics

Standard deviation	1238491.6
Coefficient of variation (CV)	1.7034761
Kurtosis	5.0581633
Mean	727037.83
Median Absolute Deviation (MAD)	37435
Skewness	2.2350552
Sum	4362227
Variance	1.5338614 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
87366	1	2.1%
149000	1	2.1%
84000	1	2.1%
3200000	1	2.1%
744625	1	2.1%
97236	1	2.1%
(Missing)	42	87.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
84000	1	2.1%
87366	1	2.1%
97236	1	2.1%
149000	1	2.1%
744625	1	2.1%
3200000	1	2.1%

Value	Count	Frequency (%)
3200000	1	2.1%
744625	1	2.1%
149000	1	2.1%
97236	1	2.1%
87366	1	2.1%
84000	1	2.1%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	39
Distinct (%)	92.9%
Missing	6
Missing (%)	12.5%
Infinite	0
Infinite (%)	0.0%
Mean	14507.405

Minimum	10042
Maximum	18591
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	10042
5-th percentile	10872.35
Q1	11196.75
median	13604
Q3	17406
95-th percentile	18577
Maximum	18591
Range	8549
Interquartile range (IQR)	6209.25

Descriptive statistics

Standard deviation	3157.9343
Coefficient of variation (CV)	0.21767741
Kurtosis	-1.8095981
Mean	14507.405
Median Absolute Deviation (MAD)	2748.5
Skewness	0.072962897
Sum	609311
Variance	9972549.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
12616	2	4.2%
18577	2	4.2%
17406	2	4.2%
11313	1	2.1%
11360	1	2.1%
17799	1	2.1%
11158	1	2.1%
11119	1	2.1%
11110	1	2.1%
11118	1	2.1%
Other values (29)	29	60.4%
(Missing)	6	12.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10042	1	2.1%
10580	1	2.1%
10863	1	2.1%
11050	1	2.1%
11103	1	2.1%
11110	1	2.1%
11117	1	2.1%
11118	1	2.1%
11119	1	2.1%
11137	1	2.1%

Value	Count	Frequency (%)
18591	1	2.1%
18581	1	2.1%
18577	2	4.2%
18551	1	2.1%
18530	1	2.1%
18529	1	2.1%
18360	1	2.1%
17799	1	2.1%
17794	1	2.1%
17406	2	4.2%

소재지도로명주소
Text

MISSING

Distinct	34
Distinct (%)	100.0%
Missing	14
Missing (%)	29.2%
Memory size	516.0 B

Length

Max length	27
Median length	24
Mean length	20.294118
Min length	14

Characters and Unicode

Total characters	690
Distinct characters	105
Distinct categories	4 ?
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	34 ?
Unique (%)	100.0%

Sample

1st row	경기도 가평군 북면 가화로 1575-16
2nd row	경기도 고양시 덕양구 중고개길 88-10
3rd row	경기도 김포시 대곶면 약암로 874
4th row	경기도 남양주시 수동면 비룡로973번길 13
5th row	경기도 동두천시 장고갯로 161-35

Value	Count	Frequency (%)
경기도	34	20.9%
포천시	7	4.3%
화성시	7	4.3%
팔탄면	3	1.8%
일동면	3	1.8%
용인시	3	1.8%
여주시	2	1.2%
화동로	2	1.2%
수원시	2	1.2%
이천시	2	1.2%
Other values (97)	98	60.1%

Most occurring characters

Value	Count	Frequency (%)
	129	18.7%
기	35	5.1%
경	34	4.9%
도	34	4.9%
시	32	4.6%
로	29	4.2%
1	27	3.9%
면	19	2.8%
8	17	2.5%
천	16	2.3%
Other values (95)	318	46.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	416	60.3%
Decimal Number	135	19.6%
Space Separator	129	18.7%
Dash Punctuation	10	1.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	35	8.4%
경	34	8.2%
도	34	8.2%
시	32	7.7%
로	29	7.0%
면	19	4.6%
천	16	3.8%
길	14	3.4%
동	13	3.1%
화	12	2.9%
Other values (83)	178	42.8%

Decimal Number

Value	Count	Frequency (%)
1	27	20.0%
8	17	12.6%
3	15	11.1%
2	15	11.1%
4	14	10.4%
5	13	9.6%
7	11	8.1%
0	9	6.7%
6	8	5.9%
9	6	4.4%

Space Separator

Value	Count	Frequency (%)
	129	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	416	60.3%
Common	274	39.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	35	8.4%
경	34	8.2%
도	34	8.2%
시	32	7.7%
로	29	7.0%
면	19	4.6%
천	16	3.8%
길	14	3.4%
동	13	3.1%
화	12	2.9%
Other values (83)	178	42.8%

Common

Value	Count	Frequency (%)
	129	47.1%
1	27	9.9%
8	17	6.2%
3	15	5.5%
2	15	5.5%
4	14	5.1%
5	13	4.7%
7	11	4.0%
-	10	3.6%
0	9	3.3%
Other values (2)	14	5.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	416	60.3%
ASCII	274	39.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	129	47.1%
1	27	9.9%
8	17	6.2%
3	15	5.5%
2	15	5.5%
4	14	5.1%
5	13	4.7%
7	11	4.0%
-	10	3.6%
0	9	3.3%
Other values (2)	14	5.1%

Hangul

Value	Count	Frequency (%)
기	35	8.4%
경	34	8.2%
도	34	8.2%
시	32	7.7%
로	29	7.0%
면	19	4.6%
천	16	3.8%
길	14	3.4%
동	13	3.1%
화	12	2.9%
Other values (83)	178	42.8%

소재지지번주소
Text

MISSING

Distinct	44
Distinct (%)	100.0%
Missing	4
Missing (%)	8.3%
Memory size	516.0 B

Length

Max length	25
Median length	23
Mean length	21.909091
Min length	15

Characters and Unicode

Total characters	964
Distinct characters	104
Distinct categories	4 ?
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	44 ?
Unique (%)	100.0%

Sample

1st row	경기도 가평군 북면 도대리 70-111번지
2nd row	경기도 고양시 덕양구 지축동 207-1번지
3rd row	경기도 김포시 대곶면 약암리 1319번지
4th row	경기도 남양주시 수동면 입석리 531-2번지
5th row	경기도 남양주시 수동면 입석리 산132-6

Value	Count	Frequency (%)
경기도	44	20.7%
화성시	8	3.8%
포천시	7	3.3%
팔탄면	4	1.9%
용인시	4	1.9%
양평군	3	1.4%
일동면	3	1.4%
이천시	3	1.4%
단원구	2	0.9%
율암리	2	0.9%
Other values (121)	133	62.4%

Most occurring characters

Value	Count	Frequency (%)
	169	17.5%
도	46	4.8%
기	46	4.8%
경	44	4.6%
시	39	4.0%
지	36	3.7%
-	35	3.6%
1	35	3.6%
번	34	3.5%
리	28	2.9%
Other values (94)	452	46.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	585	60.7%
Decimal Number	175	18.2%
Space Separator	169	17.5%
Dash Punctuation	35	3.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	46	7.9%
기	46	7.9%
경	44	7.5%
시	39	6.7%
지	36	6.2%
번	34	5.8%
리	28	4.8%
면	25	4.3%
동	25	4.3%
천	17	2.9%
Other values (82)	245	41.9%

Decimal Number

Value	Count	Frequency (%)
1	35	20.0%
2	28	16.0%
5	20	11.4%
3	20	11.4%
4	17	9.7%
6	16	9.1%
8	12	6.9%
7	11	6.3%
0	10	5.7%
9	6	3.4%

Space Separator

Value	Count	Frequency (%)
	169	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	35	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	585	60.7%
Common	379	39.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	46	7.9%
기	46	7.9%
경	44	7.5%
시	39	6.7%
지	36	6.2%
번	34	5.8%
리	28	4.8%
면	25	4.3%
동	25	4.3%
천	17	2.9%
Other values (82)	245	41.9%

Common

Value	Count	Frequency (%)
	169	44.6%
-	35	9.2%
1	35	9.2%
2	28	7.4%
5	20	5.3%
3	20	5.3%
4	17	4.5%
6	16	4.2%
8	12	3.2%
7	11	2.9%
Other values (2)	16	4.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	585	60.7%
ASCII	379	39.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	169	44.6%
-	35	9.2%
1	35	9.2%
2	28	7.4%
5	20	5.3%
3	20	5.3%
4	17	4.5%
6	16	4.2%
8	12	3.2%
7	11	2.9%
Other values (2)	16	4.2%

Hangul

Value	Count	Frequency (%)
도	46	7.9%
기	46	7.9%
경	44	7.5%
시	39	6.7%
지	36	6.2%
번	34	5.8%
리	28	4.8%
면	25	4.3%
동	25	4.3%
천	17	2.9%
Other values (82)	245	41.9%

WGS84위도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	44
Distinct (%)	100.0%
Missing	4
Missing (%)	8.3%
Infinite	0
Infinite (%)	0.0%
Mean	37.488833

Minimum	37.024267
Maximum	38.065386
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	37.024267
5-th percentile	37.096389
Q1	37.205332
median	37.335924
Q3	37.771787
95-th percentile	37.993002
Maximum	38.065386
Range	1.041119
Interquartile range (IQR)	0.566455

Descriptive statistics

Standard deviation	0.33372248
Coefficient of variation (CV)	0.0089019171
Kurtosis	-1.4066311
Mean	37.488833
Median Absolute Deviation (MAD)	0.212095
Skewness	0.3783549
Sum	1649.5086
Variance	0.11137069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
37.197731	1	2.1%
37.276391	1	2.1%
37.743407	1	2.1%
37.060966	1	2.1%
37.024267	1	2.1%
37.856928	1	2.1%
37.939402	1	2.1%
38.051731	1	2.1%
37.982767	1	2.1%
38.065386	1	2.1%
Other values (34)	34	70.8%
(Missing)	4	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.024267	1	2.1%
37.060966	1	2.1%
37.093172	1	2.1%
37.114616	1	2.1%
37.133042	1	2.1%
37.145528	1	2.1%
37.152091	1	2.1%
37.163617	1	2.1%
37.168573	1	2.1%
37.183121	1	2.1%

Value	Count	Frequency (%)
38.065386	1	2.1%
38.051731	1	2.1%
37.994808	1	2.1%
37.982767	1	2.1%
37.974252	1	2.1%
37.967591	1	2.1%
37.939402	1	2.1%
37.908101	1	2.1%
37.903072	1	2.1%
37.889777	1	2.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	44
Distinct (%)	100.0%
Missing	4
Missing (%)	8.3%
Infinite	0
Infinite (%)	0.0%
Mean	127.12314

Minimum	126.55379
Maximum	127.72751
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	564.0 B

Quantile statistics

Minimum	126.55379
5-th percentile	126.69665
Q1	126.88695
median	127.0846
Q3	127.35046
95-th percentile	127.5748
Maximum	127.72751
Range	1.17372
Interquartile range (IQR)	0.463509

Descriptive statistics

Standard deviation	0.29797113
Coefficient of variation (CV)	0.0023439567
Kurtosis	-0.75812039
Mean	127.12314
Median Absolute Deviation (MAD)	0.2293975
Skewness	0.097819429
Sum	5593.4182
Variance	0.088786796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
127.446318	1	2.1%
127.450763	1	2.1%
126.691221	1	2.1%
126.919653	1	2.1%
126.944802	1	2.1%
127.167912	1	2.1%
127.318868	1	2.1%
127.384471	1	2.1%
127.340421	1	2.1%
127.314271	1	2.1%
Other values (34)	34	70.8%
(Missing)	4	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.553792	1	2.1%
126.5580468	1	2.1%
126.691221	1	2.1%
126.727417	1	2.1%
126.744266	1	2.1%
126.764782	1	2.1%
126.866611	1	2.1%
126.869388	1	2.1%
126.876629	1	2.1%
126.882226	1	2.1%

Value	Count	Frequency (%)
127.727512	1	2.1%
127.699811	1	2.1%
127.582551	1	2.1%
127.530851	1	2.1%
127.502373	1	2.1%
127.450763	1	2.1%
127.446318	1	2.1%
127.427075	1	2.1%
127.4158475	1	2.1%
127.384471	1	2.1%

Heatmap
Table

	시군명	온천명	지구지정일자	성분명	온천온도	온천심도	이용시설개소수	온천공보호구역면적	온천보호지구면적	적정양수량	발견신고수리시기	개발계획일자	개발계획면적	소재지우편번호	소재지도로명주소	소재지지번주소	WGS84위도	WGS84경도
시군명	1.000	1.000	1.000	0.965	0.000	0.725	0.649	0.000	0.645	0.000	1.000	1.000	0.000	0.992	1.000	1.000	0.902	0.911
온천명	1.000	1.000	1.000	0.972	0.917	0.957	1.000	0.905	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
지구지정일자	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
성분명	0.965	0.972	1.000	1.000	0.194	0.135	0.000	0.000	0.715	0.000	1.000	1.000	0.000	0.942	1.000	1.000	0.762	0.724
온천온도	0.000	0.917	1.000	0.194	1.000	0.000	0.000	0.538	0.529	0.750	1.000	1.000	0.926	0.539	1.000	1.000	0.000	0.377
온천심도	0.725	0.957	1.000	0.135	0.000	1.000	0.569	0.703	0.000	0.457	1.000	1.000	1.000	0.782	1.000	1.000	0.387	0.080
이용시설개소수	0.649	1.000	1.000	0.000	0.000	0.569	1.000	0.000	0.951	0.290	1.000	1.000	0.000	0.000	1.000	1.000	0.328	0.293
온천공보호구역면적	0.000	0.905	1.000	0.000	0.538	0.703	0.000	1.000	NaN	0.859	1.000	NaN	NaN	0.439	1.000	1.000	0.597	0.322
온천보호지구면적	0.645	1.000	1.000	0.715	0.529	0.000	0.951	NaN	1.000	0.000	1.000	1.000	1.000	0.481	1.000	1.000	0.731	0.731
적정양수량	0.000	1.000	1.000	0.000	0.750	0.457	0.290	0.859	0.000	1.000	1.000	1.000	0.926	0.000	1.000	1.000	0.000	0.000
발견신고수리시기	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
개발계획일자	1.000	1.000	1.000	1.000	1.000	1.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
개발계획면적	0.000	1.000	1.000	0.000	0.926	1.000	0.000	NaN	1.000	0.926	1.000	1.000	1.000	0.000	1.000	1.000	0.000	1.000
소재지우편번호	0.992	1.000	1.000	0.942	0.539	0.782	0.000	0.439	0.481	0.000	1.000	1.000	0.000	1.000	1.000	1.000	0.886	0.883
소재지도로명주소	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
소재지지번주소	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
WGS84위도	0.902	1.000	1.000	0.762	0.000	0.387	0.328	0.597	0.731	0.000	1.000	1.000	0.000	0.886	1.000	1.000	1.000	0.766
WGS84경도	0.911	1.000	1.000	0.724	0.377	0.080	0.293	0.322	0.731	0.000	1.000	1.000	1.000	0.883	1.000	1.000	0.766	1.000

Heatmap
Table

	시군명	이용시설개소수
시군명	1.000	0.309
이용시설개소수	0.309	1.000

Heatmap
Table

	온천온도	온천심도	온천공보호구역면적	온천보호지구면적	적정양수량	개발계획면적	소재지우편번호	WGS84위도	WGS84경도	시군명	이용시설개소수
온천온도	1.000	0.099	-0.017	0.207	0.428	0.257	-0.071	-0.004	0.288	0.000	0.000
온천심도	0.099	1.000	-0.156	0.017	-0.305	-0.086	0.090	-0.121	0.090	0.295	0.373
온천공보호구역면적	-0.017	-0.156	1.000	NaN	-0.068	NaN	0.200	-0.077	0.154	0.000	0.000
온천보호지구면적	0.207	0.017	NaN	1.000	0.385	0.486	-0.157	0.060	-0.319	0.000	0.236
적정양수량	0.428	-0.305	-0.068	0.385	1.000	0.714	-0.269	0.208	0.250	0.000	0.203
개발계획면적	0.257	-0.086	NaN	0.486	0.714	1.000	0.086	0.429	0.429	0.000	0.000
소재지우편번호	-0.071	0.090	0.200	-0.157	-0.269	0.086	1.000	-0.912	-0.208	0.818	0.000
WGS84위도	-0.004	-0.121	-0.077	0.060	0.208	0.429	-0.912	1.000	0.285	0.554	0.164
WGS84경도	0.288	0.090	0.154	-0.319	0.250	0.429	-0.208	0.285	1.000	0.574	0.094
시군명	0.000	0.295	0.000	0.000	0.000	0.000	0.818	0.554	0.574	1.000	0.309
이용시설개소수	0.000	0.373	0.000	0.236	0.203	0.000	0.000	0.164	0.094	0.309	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

	시군명	온천명	지구지정일자	성분명	온천온도	온천심도	이용시설개소수	온천공보호구역면적	온천보호지구면적	적정양수량	발견신고수리시기	개발계획일자	개발계획면적	소재지우편번호	소재지도로명주소	소재지지번주소	WGS84위도	WGS84경도
0	가평군	연인산	2006-04-19	Na-HCO3(Cl형)	26.4	850	1	39502.0	<NA>	320	2004-11-12	<NA>	<NA>	12401	경기도 가평군 북면 가화로 1575-16	경기도 가평군 북면 도대리 70-111번지	37.903072	127.502373
1	고양시	북한산온천 비젠	2021-05-23	Na(Ca)-HCO3	30.0	800	1	6000.0	<NA>	765	1996-05-28	<NA>	<NA>	10580	경기도 고양시 덕양구 중고개길 88-10	경기도 고양시 덕양구 지축동 207-1번지	37.659174	126.932896
2	구리시	-	<NA>	-	26.2	470	<NA>	<NA>	<NA>	1700	2021-09-15	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
3	김포시	약암	1989-07-08	Na, Ca, Li, St 등	28.4	705	0	0.0	2226000	1318	1987-12-21	1994-10-31	87366	10042	경기도 김포시 대곶면 약암로 874	경기도 김포시 대곶면 약암리 1319번지	37.631965	126.553792
4	남양주시	수동	2017-09-07	Na-CO3	25.3	532	<NA>	2586.0	<NA>	319	2015-03-13	<NA>	<NA>	12029	경기도 남양주시 수동면 비룡로973번길 13	경기도 남양주시 수동면 입석리 531-2번지	37.717932	127.313724
5	남양주시	버니스빌	<NA>	Ca-HCO3	27.4	1000	<NA>	<NA>	<NA>	320	2017-12-29	<NA>	<NA>	<NA>	<NA>	경기도 남양주시 수동면 입석리 산132-6	37.707881	127.333271
6	동두천시	생연동	2014-02-27	Na-Cl(HCO3)	25.6	1000	1	4618.0	<NA>	480	2013-06-26	<NA>	<NA>	11313	경기도 동두천시 장고갯로 161-35	경기도 동두천시 생연동 222-3번지	37.908101	127.064779
7	동두천시	탑동	2019-05-23	Na(Ca)-CO3(HCO3)	26.7	1000	1	6674.0	<NA>	315	2013-11-27	<NA>	<NA>	11360	<NA>	경기도 동두천시 탑동동 58	37.889777	127.132331
8	부천시	웅진풀레이도시㈜	2020-04-07	Na(Ca)-HCO₃	27.1	1300	1	29900.0	<NA>	325	2019-09-17	<NA>	<NA>	14592	경기도 부천시 조마루로 2	경기도 부천시 상동 572-1번지	37.499869	126.744266
9	수원시	수원온수골	1998-12-31	Na-HCO3	28.1	700	1	17767.0	<NA>	750	1994-07-07	<NA>	<NA>	16553	경기도 수원시 권선구 동수원로 232	경기도 수원시 권선구 권선동 1296-5번지	37.250255	127.034696

	시군명	온천명	지구지정일자	성분명	온천온도	온천심도	이용시설개소수	온천공보호구역면적	온천보호지구면적	적정양수량	발견신고수리시기	개발계획일자	개발계획면적	소재지우편번호	소재지도로명주소	소재지지번주소	WGS84위도	WGS84경도
38	포천시	화대	2004-11-05	Na-HCO₃	33.5	800	1	<NA>	3200000	1507	1996-04-12	2018-11-16	3200000	11117	경기도 포천시 일동면 화동로 1210	경기도 포천시 일동면 화대리 662-1번지	37.967591	127.328647
39	포천시	신북	1992-12-14	Na-HCO₃	25.8	590	1	<NA>	744625	2450	1990-02-23	2004-06-21	744625	11137	경기도 포천시 신북면 청신로 571	경기도 포천시 신북면 덕둔리 627-1번지	37.974252	127.104421
40	화성시	월문	1993-12-02	알칼리성	25.0	707	1	<NA>	856000	1302	1990-04-07	1996-05-23	97236	18577	경기도 화성시 팔탄면 버들로1597번길 5	경기도 화성시 팔탄면 월문리 235-14번지	37.114616	126.876629
41	화성시	율암	2012-07-11	알칼리성	26.7	684	2	29000.0	<NA>	427	1997-06-13	<NA>	<NA>	18530	경기도 화성시 팔탄면 온천로 434-14	경기도 화성시 팔탄면 율암리 842-8번지	37.152091	126.882245
42	화성시	㈜화성식염	2005-12-23	염화물	25.7	800	1	<NA>	1927000	400	2001-03-16	<NA>	<NA>	18581	경기도 화성시 장안면 황골길 52	경기도 화성시 장안면 수촌리 25번지	37.093172	126.866611
43	화성시	화성	1992-03-11	알칼리성	25.8	700	<NA>	<NA>	816000	210	1989-07-27	<NA>	<NA>	18577	<NA>	경기도 화성시 팔탄면 덕천리 산51-16	37.145528	126.869388
44	화성시	병점	2005-02-05	알칼리성	28.3	959	<NA>	1000.0	<NA>	400	2004-06-15	<NA>	<NA>	18360	경기도 화성시 작현길 25	경기도 화성시 송산동 100-9번지	37.207866	127.017668
45	화성시	사강	2004-10-29	알칼리성	25.9	860	<NA>	9000.0	<NA>	303	2001-09-17	<NA>	<NA>	18551	경기도 화성시 송산면 송산로 81-4	경기도 화성시 송산면 사강리 339번지	37.217348	126.727417
46	화성시	향남힐링스파	2013-07-05	유황	28.0	800	1	3000.0	<NA>	400	2012-12-13	<NA>	<NA>	18591	경기도 화성시 향남읍 향남로 430-16	경기도 화성시 향남읍 행정리 472-2번지	37.133042	126.923066
47	화성시	하피랜드	2006-07-26	알칼리성	25.8	600	1	27000.0	<NA>	318	2006-07-26	<NA>	<NA>	18529	경기도 화성시 팔탄면 시청로 888	경기도 화성시 팔탄면 율암리 483-26번지	37.168573	126.888521

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Other Symbol

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Other Number

Decimal Number

Other Punctuation

Dash Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Hangul

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul