gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	200
Missing cells	45
Missing cells (%)	1.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.9 KiB
Average record size in memory	127.7 B

Variable types

Text	5
Numeric	8
Categorical	2

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMHOSPITAL000000009

Alerts

`MDC_CNT` is highly overall correlated with `DOC_CNT`	High correlation
`DOC_CNT` is highly overall correlated with `MDC_CNT` and 1 other fields	High correlation
`HOUS_ID` is highly overall correlated with `BLD_CD`	High correlation
`BLD_CD` is highly overall correlated with `HOUS_ID`	High correlation
`FOUND_NM` is highly overall correlated with `DOC_CNT`	High correlation
`FOUND_NM` is highly imbalanced (84.6%)	Imbalance
`DOC_CNT` has 45 (22.5%) missing values	Missing
`HOSPITAL_CD` has unique values	Unique
`MDC_CNT` has 103 (51.5%) zeros	Zeros
`DOC_CNT` has 109 (54.5%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 06:47:09.692443
Analysis finished	2023-12-10 06:47:28.102893
Duration	18.41 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

HOSPITAL_CD
Text

UNIQUE

Distinct	200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1200
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	200 ?
Unique (%)	100.0%

Sample

1st row	H72268
2nd row	H32287
3rd row	H51894
4th row	H63451
5th row	H32573

Value	Count	Frequency (%)
h72268	1	0.5%
h75529	1	0.5%
h11701	1	0.5%
h49499	1	0.5%
h29231	1	0.5%
h15927	1	0.5%
h06568	1	0.5%
h40761	1	0.5%
h52832	1	0.5%
h27443	1	0.5%
Other values (190)	190	95.0%

Most occurring characters

Value	Count	Frequency (%)
H	200	16.7%
2	114	9.5%
3	112	9.3%
4	112	9.3%
5	99	8.2%
7	96	8.0%
6	95	7.9%
1	95	7.9%
8	94	7.8%
9	93	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	83.3%
Uppercase Letter	200	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	114	11.4%
3	112	11.2%
4	112	11.2%
5	99	9.9%
7	96	9.6%
6	95	9.5%
1	95	9.5%
8	94	9.4%
9	93	9.3%
0	90	9.0%

Uppercase Letter

Value	Count	Frequency (%)
H	200	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	83.3%
Latin	200	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	114	11.4%
3	112	11.2%
4	112	11.2%
5	99	9.9%
7	96	9.6%
6	95	9.5%
1	95	9.5%
8	94	9.4%
9	93	9.3%
0	90	9.0%

Latin

Value	Count	Frequency (%)
H	200	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	200	16.7%
2	114	9.5%
3	112	9.3%
4	112	9.3%
5	99	8.2%
7	96	8.0%
6	95	7.9%
1	95	7.9%
8	94	7.8%
9	93	7.8%

HOSPITAL_NM
Text

Distinct	199
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	19
Median length	14
Mean length	6.79
Min length	3

Characters and Unicode

Total characters	1358
Distinct characters	233
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	198 ?
Unique (%)	99.0%

Sample

1st row	정원약국
2nd row	다움류기원한의원
3rd row	세란병원
4th row	명문약국
5th row	세실치과의원

Value	Count	Frequency (%)
아리랑한의원	2	1.0%
재단법인푸르메	2	1.0%
광화문숲정신건강의학과의원	1	0.5%
세명치과의원	1	0.5%
더스퀘어치과의원	1	0.5%
미래의원	1	0.5%
영화약국	1	0.5%
입안에행복치과의원	1	0.5%
혜원당한의원	1	0.5%
덕인한의원	1	0.5%
Other values (196)	196	94.2%

Most occurring characters

Value	Count	Frequency (%)
의	166	12.2%
원	162	11.9%
과	86	6.3%
치	60	4.4%
한	58	4.3%
국	47	3.5%
약	46	3.4%
서	17	1.3%
로	17	1.3%
이	16	1.2%
Other values (223)	683	50.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1325	97.6%
Space Separator	8	0.6%
Lowercase Letter	8	0.6%
Close Punctuation	6	0.4%
Open Punctuation	6	0.4%
Uppercase Letter	3	0.2%
Decimal Number	1	0.1%
Dash Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
의	166	12.5%
원	162	12.2%
과	86	6.5%
치	60	4.5%
한	58	4.4%
국	47	3.5%
약	46	3.5%
서	17	1.3%
로	17	1.3%
이	16	1.2%
Other values (209)	650	49.1%

Lowercase Letter

Value	Count	Frequency (%)
a	2	25.0%
e	2	25.0%
v	1	12.5%
r	1	12.5%
p	1	12.5%
h	1	12.5%

Uppercase Letter

Value	Count	Frequency (%)
R	1	33.3%
Y	1	33.3%
A	1	33.3%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Decimal Number

Value	Count	Frequency (%)
4	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1325	97.6%
Common	22	1.6%
Latin	11	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
의	166	12.5%
원	162	12.2%
과	86	6.5%
치	60	4.5%
한	58	4.4%
국	47	3.5%
약	46	3.5%
서	17	1.3%
로	17	1.3%
이	16	1.2%
Other values (209)	650	49.1%

Latin

Value	Count	Frequency (%)
a	2	18.2%
e	2	18.2%
v	1	9.1%
r	1	9.1%
p	1	9.1%
h	1	9.1%
R	1	9.1%
Y	1	9.1%
A	1	9.1%

Common

Value	Count	Frequency (%)
	8	36.4%
)	6	27.3%
(	6	27.3%
4	1	4.5%
-	1	4.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1325	97.6%
ASCII	33	2.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
의	166	12.5%
원	162	12.2%
과	86	6.5%
치	60	4.5%
한	58	4.4%
국	47	3.5%
약	46	3.5%
서	17	1.3%
로	17	1.3%
이	16	1.2%
Other values (209)	650	49.1%

ASCII

Value	Count	Frequency (%)
	8	24.2%
)	6	18.2%
(	6	18.2%
a	2	6.1%
e	2	6.1%
v	1	3.0%
r	1	3.0%
4	1	3.0%
-	1	3.0%
p	1	3.0%
Other values (4)	4	12.1%

HOUS_ADDR
Text

Distinct	134
Distinct (%)	67.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	23
Median length	21
Mean length	19.985
Min length	16

Characters and Unicode

Total characters	3997
Distinct characters	82
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	98 ?
Unique (%)	49.0%

Sample

1st row	서울특별시 종로구 무악동 67-2번지
2nd row	서울특별시 종로구 무악동 67-2번지
3rd row	서울특별시 종로구 무악동 32-2번지
4th row	서울특별시 종로구 무악동 37-1번지
5th row	서울특별시 종로구 무악동 37-1번지

Value	Count	Frequency (%)
서울특별시	200	25.0%
종로구	159	19.9%
중구	41	5.1%
종로6가	17	2.1%
남대문로5가	13	1.6%
무교동	12	1.5%
평창동	11	1.4%
무악동	10	1.2%
수송동	9	1.1%
내자동	9	1.1%
Other values (173)	319	39.9%

Most occurring characters

Value	Count	Frequency (%)
	600	15.0%
지	209	5.2%
로	208	5.2%
구	206	5.2%
서	200	5.0%
번	200	5.0%
울	200	5.0%
시	200	5.0%
별	200	5.0%
특	200	5.0%
Other values (72)	1574	39.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2602	65.1%
Decimal Number	680	17.0%
Space Separator	600	15.0%
Dash Punctuation	115	2.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	209	8.0%
로	208	8.0%
구	206	7.9%
서	200	7.7%
번	200	7.7%
울	200	7.7%
시	200	7.7%
별	200	7.7%
특	200	7.7%
종	179	6.9%
Other values (60)	600	23.1%

Decimal Number

Value	Count	Frequency (%)
1	182	26.8%
2	105	15.4%
5	71	10.4%
6	64	9.4%
3	61	9.0%
4	57	8.4%
8	47	6.9%
0	46	6.8%
7	26	3.8%
9	21	3.1%

Space Separator

Value	Count	Frequency (%)
	600	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2602	65.1%
Common	1395	34.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	209	8.0%
로	208	8.0%
구	206	7.9%
서	200	7.7%
번	200	7.7%
울	200	7.7%
시	200	7.7%
별	200	7.7%
특	200	7.7%
종	179	6.9%
Other values (60)	600	23.1%

Common

Value	Count	Frequency (%)
	600	43.0%
1	182	13.0%
-	115	8.2%
2	105	7.5%
5	71	5.1%
6	64	4.6%
3	61	4.4%
4	57	4.1%
8	47	3.4%
0	46	3.3%
Other values (2)	47	3.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2602	65.1%
ASCII	1395	34.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	600	43.0%
1	182	13.0%
-	115	8.2%
2	105	7.5%
5	71	5.1%
6	64	4.6%
3	61	4.4%
4	57	4.1%
8	47	3.4%
0	46	3.3%
Other values (2)	47	3.4%

Hangul

Value	Count	Frequency (%)
지	209	8.0%
로	208	8.0%
구	206	7.9%
서	200	7.7%
번	200	7.7%
울	200	7.7%
시	200	7.7%
별	200	7.7%
특	200	7.7%
종	179	6.9%
Other values (60)	600	23.1%

ROAD_ADDR
Text

Distinct	134
Distinct (%)	67.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	22
Median length	21
Mean length	17.035
Min length	14

Characters and Unicode

Total characters	3407
Distinct characters	67
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	98 ?
Unique (%)	49.0%

Sample

1st row	서울특별시 종로구 통일로 262
2nd row	서울특별시 종로구 통일로 262
3rd row	서울특별시 종로구 통일로 256
4th row	서울특별시 종로구 통일로 254
5th row	서울특별시 종로구 통일로 254

Value	Count	Frequency (%)
서울특별시	200	25.0%
종로구	159	19.9%
중구	41	5.1%
세종대로	22	2.8%
자하문로	17	2.1%
삼봉로	16	2.0%
무교로	13	1.6%
사직로	12	1.5%
통일로	10	1.2%
혜화로	9	1.1%
Other values (131)	301	37.6%

Most occurring characters

Value	Count	Frequency (%)
	600	17.6%
로	346	10.2%
종	214	6.3%
울	200	5.9%
구	200	5.9%
서	200	5.9%
시	200	5.9%
별	200	5.9%
특	200	5.9%
1	105	3.1%
Other values (57)	942	27.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2264	66.5%
Space Separator	600	17.6%
Decimal Number	531	15.6%
Dash Punctuation	12	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	346	15.3%
종	214	9.5%
울	200	8.8%
구	200	8.8%
서	200	8.8%
시	200	8.8%
별	200	8.8%
특	200	8.8%
길	71	3.1%
중	41	1.8%
Other values (45)	392	17.3%

Decimal Number

Value	Count	Frequency (%)
1	105	19.8%
2	76	14.3%
3	70	13.2%
4	58	10.9%
5	56	10.5%
6	45	8.5%
9	36	6.8%
7	31	5.8%
0	31	5.8%
8	23	4.3%

Space Separator

Value	Count	Frequency (%)
	600	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2264	66.5%
Common	1143	33.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	346	15.3%
종	214	9.5%
울	200	8.8%
구	200	8.8%
서	200	8.8%
시	200	8.8%
별	200	8.8%
특	200	8.8%
길	71	3.1%
중	41	1.8%
Other values (45)	392	17.3%

Common

Value	Count	Frequency (%)
	600	52.5%
1	105	9.2%
2	76	6.6%
3	70	6.1%
4	58	5.1%
5	56	4.9%
6	45	3.9%
9	36	3.1%
7	31	2.7%
0	31	2.7%
Other values (2)	35	3.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2264	66.5%
ASCII	1143	33.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	600	52.5%
1	105	9.2%
2	76	6.6%
3	70	6.1%
4	58	5.1%
5	56	4.9%
6	45	3.9%
9	36	3.1%
7	31	2.7%
0	31	2.7%
Other values (2)	35	3.1%

Hangul

Value	Count	Frequency (%)
로	346	15.3%
종	214	9.5%
울	200	8.8%
구	200	8.8%
서	200	8.8%
시	200	8.8%
별	200	8.8%
특	200	8.8%
길	71	3.1%
중	41	1.8%
Other values (45)	392	17.3%

X_AXIS
Real number (ℝ)

Distinct	128
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	310162.14

Minimum	308068
Maximum	313284
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	308068
5-th percentile	308212.65
Q1	309334
median	309993
Q3	310782
95-th percentile	312435.05
Maximum	313284
Range	5216
Interquartile range (IQR)	1448

Descriptive statistics

Standard deviation	1294.7321
Coefficient of variation (CV)	0.0041743717
Kurtosis	-0.30922494
Mean	310162.14
Median Absolute Deviation (MAD)	668
Skewness	0.60311185
Sum	62032427
Variance	1676331.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
309993	5	2.5%
309522	5	2.5%
309282	5	2.5%
309165	4	2.0%
310254	4	2.0%
310321	4	2.0%
310612	4	2.0%
309334	4	2.0%
310051	4	2.0%
309508	3	1.5%
Other values (118)	158	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
308068	2	1.0%
308069	3	1.5%
308127	2	1.0%
308128	1	0.5%
308149	2	1.0%
308216	1	0.5%
308232	1	0.5%
308250	2	1.0%
308262	1	0.5%
308280	1	0.5%

Value	Count	Frequency (%)
313284	2	1.0%
313214	3	1.5%
312888	1	0.5%
312466	2	1.0%
312459	1	0.5%
312436	1	0.5%
312435	2	1.0%
312428	2	1.0%
312426	3	1.5%
312425	1	0.5%

Y_AXIS
Real number (ℝ)

Distinct	130
Distinct (%)	65.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	553080.63

Minimum	550775
Maximum	557533
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	550775
5-th percentile	551192
Q1	552415
median	552744
Q3	553260.5
95-th percentile	556562
Maximum	557533
Range	6758
Interquartile range (IQR)	845.5

Descriptive statistics

Standard deviation	1352.9215
Coefficient of variation (CV)	0.0024461559
Kurtosis	2.008969
Mean	553080.63
Median Absolute Deviation (MAD)	421
Skewness	1.3863288
Sum	1.1061613 × 10⁸
Variance	1830396.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
553171	6	3.0%
552159	5	2.5%
550857	5	2.5%
553717	4	2.0%
552323	4	2.0%
556562	4	2.0%
552739	4	2.0%
552714	4	2.0%
552338	4	2.0%
556721	3	1.5%
Other values (120)	157	78.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
550775	1	0.5%
550857	5	2.5%
551154	3	1.5%
551192	2	1.0%
551204	1	0.5%
551255	2	1.0%
551276	1	0.5%
551435	1	0.5%
551604	1	0.5%
551613	1	0.5%

Value	Count	Frequency (%)
557533	1	0.5%
556906	1	0.5%
556721	3	1.5%
556600	1	0.5%
556573	1	0.5%
556562	4	2.0%
556552	1	0.5%
556478	1	0.5%
556470	2	1.0%
556393	1	0.5%

BLK_CD
Real number (ℝ)

Distinct	95
Distinct (%)	47.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	263869.16

Minimum	35619
Maximum	509155
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	35619
5-th percentile	77069.1
Q1	206377
median	240201.5
Q3	360710
95-th percentile	361521.05
Maximum	509155
Range	473536
Interquartile range (IQR)	154333

Descriptive statistics

Standard deviation	98905.134
Coefficient of variation (CV)	0.37482643
Kurtosis	-0.611074
Mean	263869.16
Median Absolute Deviation (MAD)	92968
Skewness	-0.25206592
Sum	52773832
Variance	9.7822256 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
175389	11	5.5%
77197	7	3.5%
206593	7	3.5%
360746	7	3.5%
206377	7	3.5%
206477	5	2.5%
222763	5	2.5%
246370	5	2.5%
219506	5	2.5%
200635	5	2.5%
Other values (85)	136	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35619	1	0.5%
50240	1	0.5%
50253	4	2.0%
60944	1	0.5%
74639	3	1.5%
77197	7	3.5%
165502	3	1.5%
174494	2	1.0%
175292	1	0.5%
175364	1	0.5%

Value	Count	Frequency (%)
509155	1	0.5%
509117	1	0.5%
413652	1	0.5%
413545	1	0.5%
411057	4	2.0%
361655	2	1.0%
361514	1	0.5%
361304	1	0.5%
361274	2	1.0%
361258	2	1.0%

ADDRESS
Text

Distinct	195
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	58
Median length	42
Mean length	30.13
Min length	21

Characters and Unicode

Total characters	6026
Distinct characters	184
Distinct categories	7 ?
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	190 ?
Unique (%)	95.0%

Sample

1st row	서울특별시 종로구 통일로 262 4호 1층 (무악동)
2nd row	서울특별시 종로구 통일로 262 2층 (무악동)
3rd row	서울특별시 종로구 통일로 256 (무악동)
4th row	서울특별시 종로구 통일로 254 1층 (무악동)
5th row	서울특별시 종로구 통일로 254 2층 (무악동)

Value	Count	Frequency (%)
서울특별시	200	15.7%
종로구	159	12.5%
중구	41	3.2%
2층	35	2.7%
3층	22	1.7%
세종대로	22	1.7%
1층	20	1.6%
종로6가	17	1.3%
자하문로	17	1.3%
삼봉로	16	1.3%
Other values (316)	726	56.9%

Most occurring characters

Value	Count	Frequency (%)
	1147	19.0%
로	400	6.6%
종	237	3.9%
구	206	3.4%
서	205	3.4%
울	205	3.4%
시	203	3.4%
(	202	3.4%
)	202	3.4%
특	200	3.3%
Other values (174)	2819	46.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3592	59.6%
Space Separator	1147	19.0%
Decimal Number	857	14.2%
Open Punctuation	202	3.4%
Close Punctuation	202	3.4%
Dash Punctuation	15	0.2%
Uppercase Letter	11	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	400	11.1%
종	237	6.6%
구	206	5.7%
서	205	5.7%
울	205	5.7%
시	203	5.7%
특	200	5.6%
별	200	5.6%
동	162	4.5%
층	122	3.4%
Other values (154)	1452	40.4%

Decimal Number

Value	Count	Frequency (%)
1	179	20.9%
2	151	17.6%
3	113	13.2%
5	86	10.0%
4	81	9.5%
6	75	8.8%
0	60	7.0%
9	41	4.8%
7	41	4.8%
8	30	3.5%

Uppercase Letter

Value	Count	Frequency (%)
B	5	45.5%
A	2	18.2%
Y	1	9.1%
T	1	9.1%
N	1	9.1%
D	1	9.1%

Space Separator

Value	Count	Frequency (%)
	1147	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	202	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	202	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3592	59.6%
Common	2423	40.2%
Latin	11	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	400	11.1%
종	237	6.6%
구	206	5.7%
서	205	5.7%
울	205	5.7%
시	203	5.7%
특	200	5.6%
별	200	5.6%
동	162	4.5%
층	122	3.4%
Other values (154)	1452	40.4%

Common

Value	Count	Frequency (%)
	1147	47.3%
(	202	8.3%
)	202	8.3%
1	179	7.4%
2	151	6.2%
3	113	4.7%
5	86	3.5%
4	81	3.3%
6	75	3.1%
0	60	2.5%
Other values (4)	127	5.2%

Latin

Value	Count	Frequency (%)
B	5	45.5%
A	2	18.2%
Y	1	9.1%
T	1	9.1%
N	1	9.1%
D	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3592	59.6%
ASCII	2434	40.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1147	47.1%
(	202	8.3%
)	202	8.3%
1	179	7.4%
2	151	6.2%
3	113	4.6%
5	86	3.5%
4	81	3.3%
6	75	3.1%
0	60	2.5%
Other values (10)	138	5.7%

Hangul

Value	Count	Frequency (%)
로	400	11.1%
종	237	6.6%
구	206	5.7%
서	205	5.7%
울	205	5.7%
시	203	5.7%
특	200	5.6%
별	200	5.6%
동	162	4.5%
층	122	3.4%
Other values (154)	1452	40.4%

HOSPITAL_CLSS
Categorical

Distinct	7
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

치과의원	60
한의원	50
약국	44
의원	43
종합병원	1
Other values (2)	2

Length

Max length	4
Median length	3
Mean length	2.875
Min length	2

Unique

Unique	3 ?
Unique (%)	1.5%

Sample

1st row	약국
2nd row	한의원
3rd row	종합병원
4th row	약국
5th row	치과의원

Common Values

Value	Count	Frequency (%)
치과의원	60	30.0%
한의원	50	25.0%
약국	44	22.0%
의원	43	21.5%
종합병원	1	0.5%
일반병원	1	0.5%
보건소	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
치과의원	60	30.0%
한의원	50	25.0%
약국	44	22.0%
의원	43	21.5%
종합병원	1	0.5%
일반병원	1	0.5%
보건소	1	0.5%

FOUND_NM
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

개인	190
재단법인	3
회사법인	2
특수법인	2
의료법인	2

Length

Max length	4
Median length	2
Mean length	2.09
Min length	2

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

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

Common Values

Value	Count	Frequency (%)
개인	190	95.0%
재단법인	3	1.5%
회사법인	2	1.0%
특수법인	2	1.0%
의료법인	2	1.0%
공립	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
개인	190	95.0%
재단법인	3	1.5%
회사법인	2	1.0%
특수법인	2	1.0%
의료법인	2	1.0%
공립	1	0.5%

OPEN_DATE
Real number (ℝ)

Distinct	191
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20028418

Minimum	19491009
Maximum	20190325
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	19491009
5-th percentile	19710610
Q1	20000586
median	20070315
Q3	20133044
95-th percentile	20171594
Maximum	20190325
Range	699316
Interquartile range (IQR)	132457.5

Descriptive statistics

Standard deviation	147107.33
Coefficient of variation (CV)	0.0073449302
Kurtosis	0.82785001
Mean	20028418
Median Absolute Deviation (MAD)	69757
Skewness	-1.2960766
Sum	4.0056836 × 10⁹
Variance	2.1640567 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19710610	6	3.0%
20050526	2	1.0%
20100302	2	1.0%
20070705	2	1.0%
19660119	2	1.0%
19940126	1	0.5%
20040930	1	0.5%
20130318	1	0.5%
20130322	1	0.5%
20171129	1	0.5%
Other values (181)	181	90.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19491009	1	0.5%
19650112	1	0.5%
19660119	2	1.0%
19680110	1	0.5%
19681115	1	0.5%
19690502	1	0.5%
19710610	6	3.0%
19730316	1	0.5%
19730609	1	0.5%
19741028	1	0.5%

Value	Count	Frequency (%)
20190325	1	0.5%
20190308	1	0.5%
20190222	1	0.5%
20181001	1	0.5%
20180928	1	0.5%
20180913	1	0.5%
20180705	1	0.5%
20180510	1	0.5%
20180426	1	0.5%
20180404	1	0.5%

MDC_CNT
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.25

Minimum	0
Maximum	13
Zeros	103
Zeros (%)	51.5%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	13
Range	13
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.2656491
Coefficient of variation (CV)	1.8125193
Kurtosis	8.9361449
Mean	1.25
Median Absolute Deviation (MAD)	0
Skewness	2.8180439
Sum	250
Variance	5.1331658
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	103	51.5%
1	61	30.5%
4	8	4.0%
5	7	3.5%
3	6	3.0%
2	4	2.0%
8	3	1.5%
7	2	1.0%
6	2	1.0%
12	2	1.0%
Other values (2)	2	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	103	51.5%
1	61	30.5%
2	4	2.0%
3	6	3.0%
4	8	4.0%
5	7	3.5%
6	2	1.0%
7	2	1.0%
8	3	1.5%
9	1	0.5%

Value	Count	Frequency (%)
13	1	0.5%
12	2	1.0%
9	1	0.5%
8	3	1.5%
7	2	1.0%
6	2	1.0%
5	7	3.5%
4	8	4.0%
3	6	3.0%
2	4	2.0%

DOC_CNT
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	7
Distinct (%)	4.5%
Missing	45
Missing (%)	22.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.0129032

Minimum	0
Maximum	45
Zeros	109
Zeros (%)	54.5%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	45
Range	45
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	5.0478066
Coefficient of variation (CV)	4.9835034
Kurtosis	63.140444
Mean	1.0129032
Median Absolute Deviation (MAD)	0
Skewness	7.829328
Sum	157
Variance	25.480352
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	109	54.5%
1	36	18.0%
2	5	2.5%
4	2	1.0%
41	1	0.5%
45	1	0.5%
17	1	0.5%
(Missing)	45	22.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	109	54.5%
1	36	18.0%
2	5	2.5%
4	2	1.0%
17	1	0.5%
41	1	0.5%
45	1	0.5%

Value	Count	Frequency (%)
45	1	0.5%
41	1	0.5%
17	1	0.5%
4	2	1.0%
2	5	2.5%
1	36	18.0%
0	109	54.5%

HOUS_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	134
Distinct (%)	67.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.111629 × 10¹⁸

Minimum	1.1110102 × 10¹⁸
Maximum	1.114012 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110102 × 10¹⁸
5-th percentile	1.1110107 × 10¹⁸
Q1	1.1110124 × 10¹⁸
median	1.1110164 × 10¹⁸
Q3	1.1110187 × 10¹⁸
95-th percentile	1.1140118 × 10¹⁸
Maximum	1.114012 × 10¹⁸
Range	3.0018 × 10¹⁵
Interquartile range (IQR)	6.2999997 × 10¹²

Descriptive statistics

Standard deviation	1.2126464 × 10¹⁵
Coefficient of variation (CV)	0.0010908733
Kurtosis	0.16996176
Mean	1.111629 × 10¹⁸
Median Absolute Deviation (MAD)	3.5000014 × 10¹²
Skewness	1.4725269
Sum	9.6486492 × 10¹⁷
Variance	1.4705113 × 10³⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1111011400000260000	5	2.5%
1114010100000320002	5	2.5%
1114011800005410000	5	2.5%
1111010500001580005	4	2.0%
1114010100000010000	4	2.0%
1111018300001580001	4	2.0%
1111013500000120013	4	2.0%
1111012400000580000	4	2.0%
1111012900001100000	4	2.0%
1111018200001100001	3	1.5%
Other values (124)	158	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111010200000660000	2	1.0%
1111010400000250000	1	0.5%
1111010500001580005	4	2.0%
1111010600001020000	1	0.5%
1111010600001080000	2	1.0%
1111010700000110000	1	0.5%
1111010700000800000	3	1.5%
1111010700001060003	1	0.5%
1111011100000190033	1	0.5%
1111011100000450030	1	0.5%

Value	Count	Frequency (%)
1114012000001220011	1	0.5%
1114011900001040001	1	0.5%
1114011800005410000	5	2.5%
1114011800000170003	2	1.0%
1114011800000060023	3	1.5%
1114011800000060001	1	0.5%
1114011800000010001	2	1.0%
1114011700000450000	1	0.5%
1114011400003600001	1	0.5%
1114011400002500000	3	1.5%

BLD_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	124
Distinct (%)	62.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.111629 × 10²⁴

Minimum	1.1110102 × 10²⁴
Maximum	1.114012 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110102 × 10²⁴
5-th percentile	1.1110107 × 10²⁴
Q1	1.1110124 × 10²⁴
median	1.1110164 × 10²⁴
Q3	1.1110187 × 10²⁴
95-th percentile	1.1140118 × 10²⁴
Maximum	1.114012 × 10²⁴
Range	3.0018 × 10²¹
Interquartile range (IQR)	6.2999995 × 10¹⁸

Descriptive statistics

Standard deviation	1.2126405 × 10²¹
Coefficient of variation (CV)	0.001090868
Kurtosis	0.16996182
Mean	1.111629 × 10²⁴
Median Absolute Deviation (MAD)	3.5000014 × 10¹⁸
Skewness	1.4725269
Sum	2.2232579 × 10²⁶
Variance	1.4704969 × 10⁴²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1110129001011e+24	5	2.5%
1.11101140010026e+24	5	2.5%
1.11401010010032e+24	5	2.5%
1.11401180010541e+24	5	2.5%
1.11101350010012e+24	5	2.5%
1.11101690010109e+24	4	2.0%
1.11101830010158e+24	4	2.0%
1.11101240010058e+24	4	2.0%
1.11101050010158e+24	4	2.0%
1.11401180010006e+24	4	2.0%
Other values (114)	155	77.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.11101020010066e+24	2	1.0%
1.11101040010025e+24	1	0.5%
1.11101050010158e+24	4	2.0%
1.11101060010102e+24	1	0.5%
1.11101060010108e+24	2	1.0%
1.11101070010011e+24	1	0.5%
1.1110107001008e+24	3	1.5%
1.11101070010106e+24	1	0.5%
1.11101110010019e+24	1	0.5%
1.11101110010045e+24	1	0.5%

Value	Count	Frequency (%)
1.11401200010122e+24	1	0.5%
1.11401190010104e+24	1	0.5%
1.11401180010541e+24	5	2.5%
1.11401180010108e+24	2	1.0%
1.11401180010017e+24	2	1.0%
1.11401180010006e+24	4	2.0%
1.11401170010045e+24	1	0.5%
1.1140114001036e+24	1	0.5%
1.1140114001025e+24	3	1.5%
1.11401140010069e+24	2	1.0%

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	HOSPITAL_CLSS	FOUND_NM	OPEN_DATE	MDC_CNT	DOC_CNT	HOUS_ID	BLD_CD
X_AXIS	1.000	0.868	0.634	0.000	0.000	0.000	0.000	0.000	0.600	0.600
Y_AXIS	0.868	1.000	0.629	0.000	0.458	0.290	0.253	0.340	0.732	0.732
BLK_CD	0.634	0.629	1.000	0.284	0.000	0.181	0.000	0.000	0.826	0.826
HOSPITAL_CLSS	0.000	0.000	0.284	1.000	0.624	0.316	0.710	0.549	0.055	0.055
FOUND_NM	0.000	0.458	0.000	0.624	1.000	0.371	0.254	0.635	0.391	0.391
OPEN_DATE	0.000	0.290	0.181	0.316	0.371	1.000	0.000	0.245	0.059	0.059
MDC_CNT	0.000	0.253	0.000	0.710	0.254	0.000	1.000	0.691	0.049	0.049
DOC_CNT	0.000	0.340	0.000	0.549	0.635	0.245	0.691	1.000	0.083	0.083
HOUS_ID	0.600	0.732	0.826	0.055	0.391	0.059	0.049	0.083	1.000	1.000
BLD_CD	0.600	0.732	0.826	0.055	0.391	0.059	0.049	0.083	1.000	1.000

Heatmap
Table

	FOUND_NM	HOSPITAL_CLSS
FOUND_NM	1.000	0.433
HOSPITAL_CLSS	0.433	1.000

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	OPEN_DATE	MDC_CNT	DOC_CNT	HOUS_ID	BLD_CD	HOSPITAL_CLSS	FOUND_NM
X_AXIS	1.000	-0.290	-0.314	0.015	-0.131	-0.199	-0.089	-0.089	0.000	0.000
Y_AXIS	-0.290	1.000	0.480	-0.003	-0.097	-0.058	-0.405	-0.404	0.000	0.245
BLK_CD	-0.314	0.480	1.000	-0.072	-0.005	-0.035	-0.371	-0.371	0.153	0.000
OPEN_DATE	0.015	-0.003	-0.072	1.000	-0.107	0.120	0.038	0.039	0.433	0.487
MDC_CNT	-0.131	-0.097	-0.005	-0.107	1.000	0.549	0.072	0.072	0.480	0.142
DOC_CNT	-0.199	-0.058	-0.035	0.120	0.549	1.000	0.215	0.215	0.488	0.593
HOUS_ID	-0.089	-0.405	-0.371	0.038	0.072	0.215	1.000	1.000	0.040	0.244
BLD_CD	-0.089	-0.404	-0.371	0.039	0.072	0.215	1.000	1.000	0.109	0.347
HOSPITAL_CLSS	0.000	0.000	0.153	0.433	0.480	0.488	0.040	0.109	1.000	0.433
FOUND_NM	0.000	0.245	0.000	0.487	0.142	0.593	0.244	0.347	0.433	1.000

Count
Matrix

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.

First rows
Last rows

	HOSPITAL_CD	HOSPITAL_NM	HOUS_ADDR	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	ADDRESS	HOSPITAL_CLSS	FOUND_NM	OPEN_DATE	MDC_CNT	DOC_CNT	HOUS_ID	BLD_CD
0	H72268	정원약국	서울특별시 종로구 무악동 67-2번지	서울특별시 종로구 통일로 262	308068	553093	77197	서울특별시 종로구 통일로 262 4호 1층 (무악동)	약국	개인	20190325	0	<NA>	1111018700000670002	1111018700100670002020863
1	H32287	다움류기원한의원	서울특별시 종로구 무악동 67-2번지	서울특별시 종로구 통일로 262	308068	553093	77197	서울특별시 종로구 통일로 262 2층 (무악동)	한의원	개인	20110530	0	1	1111018700000670002	1111018700100670002020863
2	H51894	세란병원	서울특별시 종로구 무악동 32-2번지	서울특별시 종로구 통일로 256	308128	553074	77197	서울특별시 종로구 통일로 256 (무악동)	종합병원	개인	19870424	13	41	1111018700000320002	1111018700100090012020946
3	H63451	명문약국	서울특별시 종로구 무악동 37-1번지	서울특별시 종로구 통일로 254	308127	553029	77197	서울특별시 종로구 통일로 254 1층 (무악동)	약국	개인	20160711	0	<NA>	1111018700000370001	1111018700100370001020910
4	H32573	세실치과의원	서울특별시 종로구 무악동 37-1번지	서울특별시 종로구 통일로 254	308127	553029	77197	서울특별시 종로구 통일로 254 2층 (무악동)	치과의원	개인	20050103	1	0	1111018700000370001	1111018700100370001020910
5	H33577	연세리치과의원	서울특별시 종로구 무악동 42-2번지	서울특별시 종로구 통일로 250	308149	553006	77197	서울특별시 종로구 통일로 250 2층 (무악동)	치과의원	개인	20150217	1	0	1111018700000420002	1111018700100420002020878
6	H10854	인성약국	서울특별시 종로구 무악동 42-2번지	서울특별시 종로구 통일로 250	308149	553006	77197	서울특별시 종로구 통일로 250 (무악동)	약국	개인	20080730	0	<NA>	1111018700000420002	1111018700100420002020878
7	H46082	현대약국	서울특별시 종로구 무악동 82번지	서울특별시 종로구 통일로 246-10	308250	552962	323899	서울특별시 종로구 통일로 246-10 113호 (무악동)	약국	개인	20000501	0	<NA>	1111018700000820000	1111018700100820000021165
8	H09963	향기로운서울훈치과의원	서울특별시 종로구 무악동 82번지	서울특별시 종로구 통일로 246-10	308250	552962	323899	서울특별시 종로구 통일로 246-10 307호 (무악동 무악현대프라자상가)	치과의원	개인	20150930	1	0	1111018700000820000	1111018700100820000021165
9	H34261	이상연신경정신과의원	서울특별시 종로구 교남동 51번지	서울특별시 종로구 통일로 162	308710	552319	198065	서울특별시 종로구 통일로 162 3층 (교남동)	의원	개인	20010420	2	1	1111017600000510000	1111017600100510000020307

	HOSPITAL_CD	HOSPITAL_NM	HOUS_ADDR	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	ADDRESS	HOSPITAL_CLSS	FOUND_NM	OPEN_DATE	MDC_CNT	DOC_CNT	HOUS_ID	BLD_CD
190	H57914	미래이비인후과의원	서울특별시 중구 무교동 1번지	서울특별시 중구 무교로 32	310051	552323	206515	서울특별시 중구 무교로 32 402호 (무교동 효령빌딩)	의원	개인	20050811	5	1	1114010100000010000	1114010100100010000018870
191	H13460	하나약국	서울특별시 중구 무교동 1번지	서울특별시 중구 무교로 32	310051	552323	206515	서울특별시 중구 무교로 32 4층 (무교동 효령빌딩)	약국	개인	20050822	0	<NA>	1114010100000010000	1114010100100010000018870
192	H48623	오약국	서울특별시 중구 무교동 45번지	서울특별시 중구 무교로 21	309977	552223	206593	서울특별시 중구 무교로 21 (무교동 코오롱아케이드)	약국	개인	19800126	0	<NA>	1114010100000450000	1114010100100450000018924
193	H93603	박환실비뇨기과의원	서울특별시 중구 무교동 33-1번지	서울특별시 중구 무교로 17	310004	552173	206593	서울특별시 중구 무교로 17 4층 (무교동 무교빌딩)	의원	개인	20081103	3	1	1114010100000330001	1114010100100330001019108
194	H85611	경희무교로한의원	서울특별시 중구 무교동 19번지	서울특별시 중구 무교로 16	310046	552165	206511	서울특별시 중구 무교로 16 7층 (무교동 대한체육회관)	한의원	개인	20140325	0	1	1114010100000190000	1114010100100190000020501
195	H60335	강북센트럴치과의원	서울특별시 중구 무교동 32-2번지	서울특별시 중구 무교로 15	309993	552159	206593	서울특별시 중구 무교로 15 2층 202호 (무교동 남강건설회관빌딩)	치과의원	개인	20061013	1	0	1114010100000320002	1114010100100320002019127
196	H49330	청실약국	서울특별시 중구 무교동 32-2번지	서울특별시 중구 무교로 15	309993	552159	206593	서울특별시 중구 무교로 15 1층 (무교동 남강건설회관빌딩)	약국	개인	20170125	0	<NA>	1114010100000320002	1114010100100320002019127
197	H43201	이승진 가정의학과 의원	서울특별시 중구 무교동 32-2번지	서울특별시 중구 무교로 15	309993	552159	206593	서울특별시 중구 무교로 15 306호 (무교동 남강건설회관빌딩)	의원	개인	20130226	4	1	1114010100000320002	1114010100100320002019127
198	H21227	휴본한의원	서울특별시 중구 무교동 32-2번지	서울특별시 중구 무교로 15	309993	552159	206593	서울특별시 중구 무교로 15 7층 (무교동)	한의원	개인	20090515	0	0	1114010100000320002	1114010100100320002019127
199	H14773	서울세연치과의원	서울특별시 중구 무교동 32-2번지	서울특별시 중구 무교로 15	309993	552159	206593	서울특별시 중구 무교로 15 9층 906호 (무교동 남강빌딩)	치과의원	개인	20070226	1	0	1114010100000320002	1114010100100320002019127

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Space Separator

Close Punctuation

Open Punctuation

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

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

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks