gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	200
Missing cells	463
Missing cells (%)	11.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.1 KiB
Average record size in memory	169.7 B

Variable types

Text	6
Numeric	10
Categorical	4

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMSCHOOL00000000010

Alerts

`CAMPUS_CLSS` is highly overall correlated with `AREA` and 4 other fields	High correlation
`SEX` is highly overall correlated with `STU_CNT` and 3 other fields	High correlation
`STUDY_TIME` is highly overall correlated with `AREA` and 7 other fields	High correlation
`AREA` is highly overall correlated with `STU_CNT` and 5 other fields	High correlation
`OPEN_DATE` is highly overall correlated with `CAMPUS_CLSS` and 1 other fields	High correlation
`HOUS_ID` is highly overall correlated with `BLD_CD` and 2 other fields	High correlation
`BLD_CD` is highly overall correlated with `HOUS_ID` and 2 other fields	High correlation
`X_AXIS` is highly overall correlated with `HOUS_ID` and 1 other fields	High correlation
`Y_AXIS` is highly overall correlated with `HOUS_ID` and 1 other fields	High correlation
`STU_CNT` is highly overall correlated with `AREA` and 4 other fields	High correlation
`TEA_CNT` is highly overall correlated with `AREA` and 4 other fields	High correlation
`CLASS_CNT` is highly overall correlated with `AREA` and 5 other fields	High correlation
`SCHOOL_CLSS1` is highly overall correlated with `AREA` and 2 other fields	High correlation
`CAMPUS_CLSS` is highly imbalanced (95.5%)	Imbalance
`STUDY_TIME` is highly imbalanced (60.3%)	Imbalance
`SEX` is highly imbalanced (54.1%)	Imbalance
`AREA` has 140 (70.0%) missing values	Missing
`OPEN_DATE` has 123 (61.5%) missing values	Missing
`SCHOOL_CLSS2` has 193 (96.5%) missing values	Missing
`CLASS_CNT` has 7 (3.5%) missing values	Missing
`SCHOOL_CD` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:37:38.041921
Analysis finished	2023-12-10 06:38:15.392920
Duration	37.35 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

SCHOOL_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	14
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	S11942
2nd row	S11940
3rd row	C00287
4th row	C28551
5th row	C00009

Value	Count	Frequency (%)
s11942	1	0.5%
c01119	1	0.5%
c01127	1	0.5%
k00380	1	0.5%
k00383	1	0.5%
c01086	1	0.5%
s00556	1	0.5%
k00774	1	0.5%
s09660	1	0.5%
c00970	1	0.5%
Other values (190)	190	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	247	20.6%
C	116	9.7%
2	111	9.2%
9	94	7.8%
1	92	7.7%
3	92	7.7%
4	79	6.6%
6	77	6.4%
7	72	6.0%
8	68	5.7%
Other values (4)	152	12.7%

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 (%)
0	247	24.7%
2	111	11.1%
9	94	9.4%
1	92	9.2%
3	92	9.2%
4	79	7.9%
6	77	7.7%
7	72	7.2%
8	68	6.8%
5	68	6.8%

Uppercase Letter

Value	Count	Frequency (%)
C	116	58.0%
S	52	26.0%
K	25	12.5%
U	7	3.5%

Most occurring scripts

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

Most frequent character per script

Common

Value	Count	Frequency (%)
0	247	24.7%
2	111	11.1%
9	94	9.4%
1	92	9.2%
3	92	9.2%
4	79	7.9%
6	77	7.7%
7	72	7.2%
8	68	6.8%
5	68	6.8%

Latin

Value	Count	Frequency (%)
C	116	58.0%
S	52	26.0%
K	25	12.5%
U	7	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	247	20.6%
C	116	9.7%
2	111	9.2%
9	94	7.8%
1	92	7.7%
3	92	7.7%
4	79	6.6%
6	77	6.4%
7	72	6.0%
8	68	5.7%
Other values (4)	152	12.7%

SCHOOL_NM
Text

Distinct	198
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	17
Median length	15
Mean length	7.315
Min length	2

Characters and Unicode

Total characters	1463
Distinct characters	232
Distinct categories	5 ?
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	196 ?
Unique (%)	98.0%

Sample

1st row	서울농학교
2nd row	서울맹학교
3rd row	가람어린이집
4th row	동화속아이들어린이집
5th row	SGI서울보증 어린이집

Value	Count	Frequency (%)
구립	29	12.2%
어린이집	5	2.1%
정화예술대학교	2	0.8%
엄마품어린이집	2	0.8%
금빛	1	0.4%
중경고등학교	1	0.4%
서마	1	0.4%
코알라베이비	1	0.4%
센트라스아띠	1	0.4%
서울농학교	1	0.4%
Other values (193)	193	81.4%

Most occurring characters

Value	Count	Frequency (%)
학	82	5.6%
교	80	5.5%
이	77	5.3%
린	62	4.2%
집	61	4.2%
어	61	4.2%
등	48	3.3%
서	41	2.8%
	37	2.5%
울	37	2.5%
Other values (222)	877	59.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1406	96.1%
Space Separator	37	2.5%
Uppercase Letter	18	1.2%
Other Punctuation	1	0.1%
Decimal Number	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
학	82	5.8%
교	80	5.7%
이	77	5.5%
린	62	4.4%
집	61	4.3%
어	61	4.3%
등	48	3.4%
서	41	2.9%
울	37	2.6%
구	34	2.4%
Other values (209)	823	58.5%

Uppercase Letter

Value	Count	Frequency (%)
K	4	22.2%
G	3	16.7%
S	3	16.7%
I	2	11.1%
L	1	5.6%
N	1	5.6%
A	1	5.6%
H	1	5.6%
C	1	5.6%
M	1	5.6%

Space Separator

Value	Count	Frequency (%)
	37	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	1	100.0%

Decimal Number

Value	Count	Frequency (%)
5	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1406	96.1%
Common	39	2.7%
Latin	18	1.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
학	82	5.8%
교	80	5.7%
이	77	5.5%
린	62	4.4%
집	61	4.3%
어	61	4.3%
등	48	3.4%
서	41	2.9%
울	37	2.6%
구	34	2.4%
Other values (209)	823	58.5%

Latin

Value	Count	Frequency (%)
K	4	22.2%
G	3	16.7%
S	3	16.7%
I	2	11.1%
L	1	5.6%
N	1	5.6%
A	1	5.6%
H	1	5.6%
C	1	5.6%
M	1	5.6%

Common

Value	Count	Frequency (%)
	37	94.9%
&	1	2.6%
5	1	2.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1406	96.1%
ASCII	57	3.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
학	82	5.8%
교	80	5.7%
이	77	5.5%
린	62	4.4%
집	61	4.3%
어	61	4.3%
등	48	3.4%
서	41	2.9%
울	37	2.6%
구	34	2.4%
Other values (209)	823	58.5%

ASCII

Value	Count	Frequency (%)
	37	64.9%
K	4	7.0%
G	3	5.3%
S	3	5.3%
I	2	3.5%
L	1	1.8%
N	1	1.8%
A	1	1.8%
H	1	1.8%
C	1	1.8%
Other values (3)	3	5.3%

ADDRESS
Text

Distinct	197
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	47
Median length	38
Mean length	28.37
Min length	15

Characters and Unicode

Total characters	5674
Distinct characters	242
Distinct categories	9 ?
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	194 ?
Unique (%)	97.0%

Sample

1st row	서울특별시 종로구 필운대로 103(신교동)
2nd row	서울특별시 종로구 필운대로 97(신교동)
3rd row	서울특별시 종로구 통일로 246-20 111동 101호9(무악동무악현대아파트)
4th row	서울특별시 종로구 통일로 246-11 무악현대아파트 단지내
5th row	서울특별시 종로구 김상옥로 29 2층

Value	Count	Frequency (%)
서울특별시	199	19.3%
성동구	72	7.0%
종로구	63	6.1%
중구	41	4.0%
용산구	25	2.4%
왕십리로	12	1.2%
금호로	11	1.1%
마장로	8	0.8%
신당동	7	0.7%
홍지문2길	6	0.6%
Other values (429)	589	57.0%

Most occurring characters

Value	Count	Frequency (%)
	833	14.7%
로	255	4.5%
동	237	4.2%
서	231	4.1%
1	224	3.9%
울	219	3.9%
구	208	3.7%
별	200	3.5%
시	200	3.5%
특	199	3.5%
Other values (232)	2868	50.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3669	64.7%
Space Separator	833	14.7%
Decimal Number	826	14.6%
Open Punctuation	127	2.2%
Close Punctuation	127	2.2%
Other Punctuation	53	0.9%
Dash Punctuation	24	0.4%
Uppercase Letter	14	0.2%
Lowercase Letter	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	255	7.0%
동	237	6.5%
서	231	6.3%
울	219	6.0%
구	208	5.7%
별	200	5.5%
시	200	5.5%
특	199	5.4%
길	95	2.6%
성	87	2.4%
Other values (206)	1738	47.4%

Decimal Number

Value	Count	Frequency (%)
1	224	27.1%
2	122	14.8%
0	108	13.1%
3	92	11.1%
4	70	8.5%
5	52	6.3%
7	44	5.3%
6	42	5.1%
8	41	5.0%
9	31	3.8%

Uppercase Letter

Value	Count	Frequency (%)
L	3	21.4%
I	2	14.3%
S	2	14.3%
K	2	14.3%
E	1	7.1%
G	1	7.1%
W	1	7.1%
Z	1	7.1%
B	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
.	52	98.1%
@	1	1.9%

Space Separator

Value	Count	Frequency (%)
	833	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	127	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	127	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	24	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3669	64.7%
Common	1990	35.1%
Latin	15	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	255	7.0%
동	237	6.5%
서	231	6.3%
울	219	6.0%
구	208	5.7%
별	200	5.5%
시	200	5.5%
특	199	5.4%
길	95	2.6%
성	87	2.4%
Other values (206)	1738	47.4%

Common

Value	Count	Frequency (%)
	833	41.9%
1	224	11.3%
(	127	6.4%
)	127	6.4%
2	122	6.1%
0	108	5.4%
3	92	4.6%
4	70	3.5%
5	52	2.6%
.	52	2.6%
Other values (6)	183	9.2%

Latin

Value	Count	Frequency (%)
L	3	20.0%
I	2	13.3%
S	2	13.3%
K	2	13.3%
E	1	6.7%
G	1	6.7%
W	1	6.7%
Z	1	6.7%
B	1	6.7%
e	1	6.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3669	64.7%
ASCII	2005	35.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	833	41.5%
1	224	11.2%
(	127	6.3%
)	127	6.3%
2	122	6.1%
0	108	5.4%
3	92	4.6%
4	70	3.5%
5	52	2.6%
.	52	2.6%
Other values (16)	198	9.9%

Hangul

Value	Count	Frequency (%)
로	255	7.0%
동	237	6.5%
서	231	6.3%
울	219	6.0%
구	208	5.7%
별	200	5.5%
시	200	5.5%
특	199	5.4%
길	95	2.6%
성	87	2.4%
Other values (206)	1738	47.4%

AREA
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	60
Distinct (%)	100.0%
Missing	140
Missing (%)	70.0%
Infinite	0
Infinite (%)	0.0%
Mean	13535.033

Minimum	423
Maximum	49294
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	423
5-th percentile	585.6
Q1	3240.75
median	10731.5
Q3	18101.5
95-th percentile	46032.45
Maximum	49294
Range	48871
Interquartile range (IQR)	14860.75

Descriptive statistics

Standard deviation	12505.624
Coefficient of variation (CV)	0.92394485
Kurtosis	1.5853991
Mean	13535.033
Median Absolute Deviation (MAD)	7507
Skewness	1.3484923
Sum	812102
Variance	1.5639064 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18562	1	0.5%
997	1	0.5%
19648	1	0.5%
12301	1	0.5%
9514	1	0.5%
17645	1	0.5%
9826	1	0.5%
15588	1	0.5%
20930	1	0.5%
9561	1	0.5%
Other values (50)	50	25.0%
(Missing)	140	70.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
423	1	0.5%
469	1	0.5%
521	1	0.5%
589	1	0.5%
694	1	0.5%
764	1	0.5%
829	1	0.5%
927	1	0.5%
972	1	0.5%
997	1	0.5%

Value	Count	Frequency (%)
49294	1	0.5%
48149	1	0.5%
46231	1	0.5%
46022	1	0.5%
35128	1	0.5%
30877	1	0.5%
30005	1	0.5%
27058	1	0.5%
25504	1	0.5%
25277	1	0.5%

OPEN_DATE
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	70
Distinct (%)	90.9%
Missing	123
Missing (%)	61.5%
Infinite	0
Infinite (%)	0.0%
Mean	19582682

Minimum	18850509
Maximum	20180301
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	18850509
5-th percentile	19060923
Q1	19430924
median	19610303
Q3	19810118
95-th percentile	20162238
Maximum	20180301
Range	1329792
Interquartile range (IQR)	379194

Descriptive statistics

Standard deviation	337282.58
Coefficient of variation (CV)	0.017223513
Kurtosis	-0.51621114
Mean	19582682
Median Absolute Deviation (MAD)	199815
Skewness	-0.22632657
Sum	1.5078665 × 10⁹
Variance	1.1375954 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18850509	2	1.0%
19071010	2	1.0%
19451101	2	1.0%
19380405	2	1.0%
19060923	2	1.0%
19080620	2	1.0%
19130401	2	1.0%
19880914	1	0.5%
19590403	1	0.5%
19530608	1	0.5%
Other values (60)	60	30.0%
(Missing)	123	61.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18850509	2	1.0%
18951115	1	0.5%
19060923	2	1.0%
19071010	2	1.0%
19080620	2	1.0%
19100125	1	0.5%
19100413	1	0.5%
19130401	2	1.0%
19150915	1	0.5%
19210502	1	0.5%

Value	Count	Frequency (%)
20180301	1	0.5%
20170310	1	0.5%
20170302	1	0.5%
20170301	1	0.5%
20160222	1	0.5%
20130305	1	0.5%
20030301	1	0.5%
20001201	1	0.5%
19991224	1	0.5%
19990319	1	0.5%

HOUS_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	156
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1155734 × 10¹⁸

Minimum	1.1110101 × 10¹⁸
Maximum	1.1200115 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110101 × 10¹⁸
5-th percentile	1.1110116 × 10¹⁸
Q1	1.1110185 × 10¹⁸
median	1.1140168 × 10¹⁸
Q3	1.1200107 × 10¹⁸
95-th percentile	1.1200114 × 10¹⁸
Maximum	1.1200115 × 10¹⁸
Range	9.0014 × 10¹⁵
Interquartile range (IQR)	8.9922 × 10¹⁵

Descriptive statistics

Standard deviation	3.789723 × 10¹⁵
Coefficient of variation (CV)	0.0033971077
Kurtosis	-1.663252
Mean	1.1155734 × 10¹⁸
Median Absolute Deviation (MAD)	2.9999 × 10¹⁵
Skewness	0.014834528
Sum	1.7537494 × 10¹⁸
Variance	1.4362 × 10³¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1120010900006330000	6	3.0%
1120011200003400000	4	2.0%
1117011100001000000	3	1.5%
1120011000012170000	3	1.5%
1120010200010700000	3	1.5%
1114016500025450000	3	1.5%
1117011000000010042	2	1.0%
1114014400001730007	2	1.0%
1117013100007260001	2	1.0%
1120011200002350000	2	1.0%
Other values (146)	170	85.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111010100000890003	1	0.5%
1111010100000890009	1	0.5%
1111010100001230000	2	1.0%
1111010200000010001	1	0.5%
1111010200000010004	1	0.5%
1111011100000180000	1	0.5%
1111011300000320000	1	0.5%
1111011300002780004	1	0.5%
1111011400002010011	1	0.5%
1111011600000320000	1	0.5%

Value	Count	Frequency (%)
1120011500006610002	1	0.5%
1120011500004520000	1	0.5%
1120011500003510000	1	0.5%
1120011500003330128	1	0.5%
1120011500003330016	1	0.5%
1120011500002990128	1	0.5%
1120011500002630010	1	0.5%
1120011400007180000	1	0.5%
1120011400007100000	1	0.5%
1120011400006560032	2	1.0%

BLD_CD
Real number (ℝ)

HIGH CORRELATION

Distinct	147
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1155734 × 10²⁴

Minimum	1.1110101 × 10²⁴
Maximum	1.1200115 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110101 × 10²⁴
5-th percentile	1.1110116 × 10²⁴
Q1	1.1110183 × 10²⁴
median	1.1140168 × 10²⁴
Q3	1.1200107 × 10²⁴
95-th percentile	1.1200114 × 10²⁴
Maximum	1.1200115 × 10²⁴
Range	9.0014 × 10²¹
Interquartile range (IQR)	8.9924 × 10²¹

Descriptive statistics

Standard deviation	3.7897269 × 10²¹
Coefficient of variation (CV)	0.0033971112
Kurtosis	-1.6632507
Mean	1.1155734 × 10²⁴
Median Absolute Deviation (MAD)	2.9999 × 10²¹
Skewness	0.014832906
Sum	2.2311468 × 10²⁶
Variance	1.436203 × 10⁴³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.12001090010346e+24	6	3.0%
1.12001120010274e+24	4	2.0%
1.11401620010067e+24	3	1.5%
1.12001020010842e+24	3	1.5%
1.12001050010527e+24	3	1.5%
1.117011100101e+24	3	1.5%
1.12001090010955e+24	3	1.5%
1.11101820010007e+24	3	1.5%
1.11401650011871e+24	3	1.5%
1.11401620010842e+24	2	1.0%
Other values (137)	167	83.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.11101010010089e+24	2	1.0%
1.11101010010123e+24	2	1.0%
1.11101020010001e+24	2	1.0%
1.11101110010018e+24	1	0.5%
1.11101130010032e+24	1	0.5%
1.11101130010278e+24	1	0.5%
1.11101140010201e+24	1	0.5%
1.11101160010032e+24	1	0.5%
1.11101180010095e+24	1	0.5%
1.11101200010058e+24	1	0.5%

Value	Count	Frequency (%)
1.12001150010661e+24	1	0.5%
1.12001150010452e+24	1	0.5%
1.12001150010351e+24	1	0.5%
1.12001150010333e+24	2	1.0%
1.12001150010299e+24	1	0.5%
1.12001150010263e+24	1	0.5%
1.1200114001071e+24	1	0.5%
1.12001140010656e+24	2	1.0%
1.12001140010547e+24	1	0.5%
1.12001140010171e+24	1	0.5%

HOUS_ADDR
Text

Distinct	156
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	25
Median length	23
Mean length	20.575
Min length	16

Characters and Unicode

Total characters	4115
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	122 ?
Unique (%)	61.0%

Sample

1st row	서울특별시 종로구 신교동 1-1번지
2nd row	서울특별시 종로구 신교동 1-4번지
3rd row	서울특별시 종로구 무악동 82번지
4th row	서울특별시 종로구 무악동 83번지
5th row	서울특별시 종로구 연지동 136-74번지

Value	Count	Frequency (%)
서울특별시	200	25.0%
성동구	71	8.9%
종로구	63	7.9%
중구	41	5.1%
용산구	25	3.1%
신당동	17	2.1%
금호동4가	10	1.2%
금호동1가	9	1.1%
하왕십리동	7	0.9%
성수동2가	7	0.9%
Other values (216)	350	43.8%

Most occurring characters

Value	Count	Frequency (%)
	600	14.6%
동	261	6.3%
지	210	5.1%
서	205	5.0%
구	201	4.9%
시	200	4.9%
별	200	4.9%
특	200	4.9%
울	200	4.9%
번	200	4.9%
Other values (94)	1638	39.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2646	64.3%
Decimal Number	766	18.6%
Space Separator	600	14.6%
Dash Punctuation	103	2.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	261	9.9%
지	210	7.9%
서	205	7.7%
구	201	7.6%
시	200	7.6%
별	200	7.6%
특	200	7.6%
울	200	7.6%
번	200	7.6%
성	83	3.1%
Other values (82)	686	25.9%

Decimal Number

Value	Count	Frequency (%)
1	180	23.5%
2	128	16.7%
3	101	13.2%
0	59	7.7%
5	57	7.4%
4	56	7.3%
8	54	7.0%
6	54	7.0%
7	52	6.8%
9	25	3.3%

Space Separator

Value	Count	Frequency (%)
	600	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	103	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2646	64.3%
Common	1469	35.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	261	9.9%
지	210	7.9%
서	205	7.7%
구	201	7.6%
시	200	7.6%
별	200	7.6%
특	200	7.6%
울	200	7.6%
번	200	7.6%
성	83	3.1%
Other values (82)	686	25.9%

Common

Value	Count	Frequency (%)
	600	40.8%
1	180	12.3%
2	128	8.7%
-	103	7.0%
3	101	6.9%
0	59	4.0%
5	57	3.9%
4	56	3.8%
8	54	3.7%
6	54	3.7%
Other values (2)	77	5.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2646	64.3%
ASCII	1469	35.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	600	40.8%
1	180	12.3%
2	128	8.7%
-	103	7.0%
3	101	6.9%
0	59	4.0%
5	57	3.9%
4	56	3.8%
8	54	3.7%
6	54	3.7%
Other values (2)	77	5.2%

Hangul

Value	Count	Frequency (%)
동	261	9.9%
지	210	7.9%
서	205	7.7%
구	201	7.6%
시	200	7.6%
별	200	7.6%
특	200	7.6%
울	200	7.6%
번	200	7.6%
성	83	3.1%
Other values (82)	686	25.9%

ROAD_ADDR
Text

Distinct	156
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	22
Median length	21
Mean length	17.715
Min length	14

Characters and Unicode

Total characters	3543
Distinct characters	111
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	123 ?
Unique (%)	61.5%

Sample

1st row	서울특별시 종로구 필운대로 103
2nd row	서울특별시 종로구 필운대로 97
3rd row	서울특별시 종로구 통일로 246-20
4th row	서울특별시 종로구 통일로 246-11
5th row	서울특별시 종로구 김상옥로 29

Value	Count	Frequency (%)
서울특별시	200	25.0%
성동구	71	8.9%
종로구	63	7.9%
중구	41	5.1%
용산구	25	3.1%
금호로	22	2.8%
왕십리로	12	1.5%
청계천로	7	0.9%
15	7	0.9%
마장로	7	0.9%
Other values (200)	345	43.1%

Most occurring characters

Value	Count	Frequency (%)
	600	16.9%
로	240	6.8%
서	206	5.8%
구	205	5.8%
별	200	5.6%
특	200	5.6%
시	200	5.6%
울	200	5.6%
1	139	3.9%
길	95	2.7%
Other values (101)	1258	35.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2319	65.5%
Decimal Number	606	17.1%
Space Separator	600	16.9%
Dash Punctuation	18	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	240	10.3%
서	206	8.9%
구	205	8.8%
별	200	8.6%
특	200	8.6%
시	200	8.6%
울	200	8.6%
길	95	4.1%
동	75	3.2%
성	72	3.1%
Other values (89)	626	27.0%

Decimal Number

Value	Count	Frequency (%)
1	139	22.9%
2	83	13.7%
3	71	11.7%
4	61	10.1%
0	61	10.1%
5	46	7.6%
7	41	6.8%
6	39	6.4%
8	37	6.1%
9	28	4.6%

Space Separator

Value	Count	Frequency (%)
	600	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2319	65.5%
Common	1224	34.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	240	10.3%
서	206	8.9%
구	205	8.8%
별	200	8.6%
특	200	8.6%
시	200	8.6%
울	200	8.6%
길	95	4.1%
동	75	3.2%
성	72	3.1%
Other values (89)	626	27.0%

Common

Value	Count	Frequency (%)
	600	49.0%
1	139	11.4%
2	83	6.8%
3	71	5.8%
4	61	5.0%
0	61	5.0%
5	46	3.8%
7	41	3.3%
6	39	3.2%
8	37	3.0%
Other values (2)	46	3.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2319	65.5%
ASCII	1224	34.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	600	49.0%
1	139	11.4%
2	83	6.8%
3	71	5.8%
4	61	5.0%
0	61	5.0%
5	46	3.8%
7	41	3.3%
6	39	3.2%
8	37	3.0%
Other values (2)	46	3.8%

Hangul

Value	Count	Frequency (%)
로	240	10.3%
서	206	8.9%
구	205	8.8%
별	200	8.6%
특	200	8.6%
시	200	8.6%
울	200	8.6%
길	95	4.1%
동	75	3.2%
성	72	3.1%
Other values (89)	626	27.0%

X_AXIS
Real number (ℝ)

HIGH CORRELATION

Distinct	167
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	312039.64

Minimum	307413
Maximum	316912
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	307413
5-th percentile	308262.7
Q1	309424.5
median	312621.5
Q3	313981.25
95-th percentile	315958
Maximum	316912
Range	9499
Interquartile range (IQR)	4556.75

Descriptive statistics

Standard deviation	2554.866
Coefficient of variation (CV)	0.0081876329
Kurtosis	-1.2399954
Mean	312039.64
Median Absolute Deviation (MAD)	1946.5
Skewness	-0.093769064
Sum	62407928
Variance	6527340.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
307939	3	1.5%
309155	3	1.5%
314152	3	1.5%
309126	3	1.5%
314087	2	1.0%
315958	2	1.0%
310894	2	1.0%
310768	2	1.0%
313985	2	1.0%
313762	2	1.0%
Other values (157)	176	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
307413	1	0.5%
307644	1	0.5%
307817	1	0.5%
307923	1	0.5%
307939	3	1.5%
308072	2	1.0%
308219	1	0.5%
308265	1	0.5%
308292	1	0.5%
308327	1	0.5%

Value	Count	Frequency (%)
316912	1	0.5%
316718	1	0.5%
316538	1	0.5%
316501	1	0.5%
316498	1	0.5%
316369	1	0.5%
316356	1	0.5%
316041	1	0.5%
316005	1	0.5%
315958	2	1.0%

Y_AXIS
Real number (ℝ)

HIGH CORRELATION

Distinct	167
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	551595.18

Minimum	546657
Maximum	557018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	546657
5-th percentile	548628.4
Q1	550145
median	551505
Q3	552890
95-th percentile	555861
Maximum	557018
Range	10361
Interquartile range (IQR)	2745

Descriptive statistics

Standard deviation	2121.3885
Coefficient of variation (CV)	0.0038459156
Kurtosis	0.0015087394
Mean	551595.18
Median Absolute Deviation (MAD)	1380.5
Skewness	0.27152904
Sum	1.1031904 × 10⁸
Variance	4500289.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
556269	3	1.5%
550697	3	1.5%
549462	3	1.5%
552435	2	1.0%
550446	2	1.0%
552176	2	1.0%
552184	2	1.0%
550978	2	1.0%
551273	2	1.0%
551505	2	1.0%
Other values (157)	177	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
546657	1	0.5%
546728	1	0.5%
547030	1	0.5%
547090	1	0.5%
547129	2	1.0%
547405	1	0.5%
548002	1	0.5%
548287	1	0.5%
548541	1	0.5%
548633	1	0.5%

Value	Count	Frequency (%)
557018	1	0.5%
556552	1	0.5%
556519	1	0.5%
556440	1	0.5%
556269	3	1.5%
556194	1	0.5%
555931	1	0.5%
555861	2	1.0%
555839	1	0.5%
555649	1	0.5%

BLK_CD
Real number (ℝ)

Distinct	146
Distinct (%)	73.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	291545.78

Minimum	12386
Maximum	519998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	12386
5-th percentile	168543
Q1	207619.5
median	210261.5
Q3	361582.5
95-th percentile	501458.05
Maximum	519998
Range	507612
Interquartile range (IQR)	153963

Descriptive statistics

Standard deviation	108049.14
Coefficient of variation (CV)	0.37060782
Kurtosis	-0.72101815
Mean	291545.78
Median Absolute Deviation (MAD)	92528
Skewness	0.25634816
Sum	58309155
Variance	1.1674617 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
415019	6	3.0%
337542	4	2.0%
519998	4	2.0%
208198	3	1.5%
414903	3	1.5%
168543	3	1.5%
210175	3	1.5%
519833	3	1.5%
415624	2	1.0%
209479	2	1.0%
Other values (136)	167	83.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12386	1	0.5%
35187	1	0.5%
35619	1	0.5%
74639	1	0.5%
165103	1	0.5%
165655	2	1.0%
167588	1	0.5%
168543	3	1.5%
175436	1	0.5%
177773	2	1.0%

Value	Count	Frequency (%)
519998	4	2.0%
519833	3	1.5%
509117	1	0.5%
502600	1	0.5%
502523	1	0.5%
501402	2	1.0%
416121	1	0.5%
416083	1	0.5%
415985	1	0.5%
415794	1	0.5%

CAMPUS_CLSS
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

본교	199
제2캠퍼스	1

Length

Max length	5
Median length	2
Mean length	2.015
Min length	2

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

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

Common Values

Value	Count	Frequency (%)
본교	199	99.5%
제2캠퍼스	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
본교	199	99.5%
제2캠퍼스	1	0.5%

SCHOOL_CLSS1
Categorical

HIGH CORRELATION

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

어린이집	116
유치원	25
고등학교	21
초등학교	18
중학교	11
Other values (2)	9

Length

Max length	4
Median length	4
Mean length	3.785
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	특수학교
2nd row	특수학교
3rd row	어린이집
4th row	어린이집
5th row	어린이집

Common Values

Value	Count	Frequency (%)
어린이집	116	58.0%
유치원	25	12.5%
고등학교	21	10.5%
초등학교	18	9.0%
중학교	11	5.5%
대학교	7	3.5%
특수학교	2	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
어린이집	116	58.0%
유치원	25	12.5%
고등학교	21	10.5%
초등학교	18	9.0%
중학교	11	5.5%
대학교	7	3.5%
특수학교	2	1.0%

SCHOOL_CLSS2
Text

MISSING

Distinct	4
Distinct (%)	57.1%
Missing	193
Missing (%)	96.5%
Memory size	1.7 KiB

Length

Max length	9
Median length	4
Mean length	5.1428571
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	12
Distinct categories	3 ?
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	1 ?
Unique (%)	14.3%

Sample

1st row	사이버대학(대학)
2nd row	대학교
3rd row	전공대학
4th row	전공대학
5th row	기능대학

Value	Count	Frequency (%)
사이버대학(대학	2	28.6%
대학교	2	28.6%
전공대학	2	28.6%
기능대학	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
대	9	25.0%
학	9	25.0%
사	2	5.6%
이	2	5.6%
버	2	5.6%
(	2	5.6%
)	2	5.6%
교	2	5.6%
전	2	5.6%
공	2	5.6%
Other values (2)	2	5.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	32	88.9%
Open Punctuation	2	5.6%
Close Punctuation	2	5.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
대	9	28.1%
학	9	28.1%
사	2	6.2%
이	2	6.2%
버	2	6.2%
교	2	6.2%
전	2	6.2%
공	2	6.2%
기	1	3.1%
능	1	3.1%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	32	88.9%
Common	4	11.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
대	9	28.1%
학	9	28.1%
사	2	6.2%
이	2	6.2%
버	2	6.2%
교	2	6.2%
전	2	6.2%
공	2	6.2%
기	1	3.1%
능	1	3.1%

Common

Value	Count	Frequency (%)
(	2	50.0%
)	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	32	88.9%
ASCII	4	11.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
대	9	28.1%
학	9	28.1%
사	2	6.2%
이	2	6.2%
버	2	6.2%
교	2	6.2%
전	2	6.2%
공	2	6.2%
기	1	3.1%
능	1	3.1%

ASCII

Value	Count	Frequency (%)
(	2	50.0%
)	2	50.0%

STUDY_TIME
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

<NA>	159
주간	34
주야간	3
원격	2
주야간+원격	2

Length

Max length	6
Median length	4
Mean length	3.645
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	159	79.5%
주간	34	17.0%
주야간	3	1.5%
원격	2	1.0%
주야간+원격	2	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	159	79.5%
주간	34	17.0%
주야간	3	1.5%
원격	2	1.0%
주야간+원격	2	1.0%

SEX
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

<NA>	166
남여공학	16
남자	9
여자	9

Length

Max length	4
Median length	4
Mean length	3.82
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	166	83.0%
남여공학	16	8.0%
남자	9	4.5%
여자	9	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	166	83.0%
남여공학	16	8.0%
남자	9	4.5%
여자	9	4.5%

STU_CNT
Real number (ℝ)

HIGH CORRELATION

Distinct	120
Distinct (%)	60.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	474.355

Minimum	16
Maximum	22620
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	16
5-th percentile	20
Q1	41
median	65.5
Q3	285.5
95-th percentile	966.95
Maximum	22620
Range	22604
Interquartile range (IQR)	244.5

Descriptive statistics

Standard deviation	2118.937
Coefficient of variation (CV)	4.4669856
Kurtosis	77.775617
Mean	474.355
Median Absolute Deviation (MAD)	39.5
Skewness	8.4798177
Sum	94871
Variance	4489893.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	19	9.5%
49	13	6.5%
45	6	3.0%
19	6	3.0%
39	4	2.0%
96	4	2.0%
41	4	2.0%
64	4	2.0%
77	4	2.0%
34	4	2.0%
Other values (110)	132	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	1	0.5%
19	6	3.0%
20	19	9.5%
22	1	0.5%
23	1	0.5%
26	1	0.5%
27	1	0.5%
30	2	1.0%
33	1	0.5%
34	4	2.0%

Value	Count	Frequency (%)
22620	1	0.5%
16569	1	0.5%
9194	1	0.5%
6329	1	0.5%
2261	1	0.5%
2021	1	0.5%
1254	1	0.5%
1074	1	0.5%
1014	1	0.5%
1004	1	0.5%

TEA_CNT
Real number (ℝ)

HIGH CORRELATION

Distinct	63
Distinct (%)	31.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.495

Minimum	2
Maximum	2460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	8
median	12
Q3	33.5
95-th percentile	75.6
Maximum	2460
Range	2458
Interquartile range (IQR)	25.5

Descriptive statistics

Standard deviation	177.79295
Coefficient of variation (CV)	4.5016571
Kurtosis	175.07167
Mean	39.495
Median Absolute Deviation (MAD)	6
Skewness	12.895497
Sum	7899
Variance	31610.332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	20	10.0%
9	19	9.5%
10	13	6.5%
8	11	5.5%
11	9	4.5%
15	8	4.0%
5	7	3.5%
7	7	3.5%
4	6	3.0%
12	6	3.0%
Other values (53)	94	47.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	1.0%
3	4	2.0%
4	6	3.0%
5	7	3.5%
6	20	10.0%
7	7	3.5%
8	11	5.5%
9	19	9.5%
10	13	6.5%
11	9	4.5%

Value	Count	Frequency (%)
2460	1	0.5%
476	1	0.5%
246	1	0.5%
215	1	0.5%
154	1	0.5%
125	1	0.5%
110	1	0.5%
90	1	0.5%
87	2	1.0%
75	1	0.5%

CLASS_CNT
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	33
Distinct (%)	17.1%
Missing	7
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.7098446

Minimum	1
Maximum	47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3
median	5
Q3	12
95-th percentile	30.4
Maximum	47
Range	46
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	9.8651721
Coefficient of variation (CV)	1.0159969
Kurtosis	1.5357681
Mean	9.7098446
Median Absolute Deviation (MAD)	2
Skewness	1.6007859
Sum	1874
Variance	97.321621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
3	48	24.0%
4	41	20.5%
5	19	9.5%
6	13	6.5%
12	6	3.0%
15	5	2.5%
7	5	2.5%
8	4	2.0%
27	4	2.0%
9	4	2.0%
Other values (23)	44	22.0%
(Missing)	7	3.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.5%
2	3	1.5%
3	48	24.0%
4	41	20.5%
5	19	9.5%
6	13	6.5%
7	5	2.5%
8	4	2.0%
9	4	2.0%
10	1	0.5%

Value	Count	Frequency (%)
47	1	0.5%
39	1	0.5%
37	2	1.0%
36	3	1.5%
33	1	0.5%
32	1	0.5%
31	1	0.5%
30	3	1.5%
29	3	1.5%
28	2	1.0%

Heatmap
Table

	AREA	OPEN_DATE	HOUS_ID	BLD_CD	X_AXIS	Y_AXIS	BLK_CD	CAMPUS_CLSS	SCHOOL_CLSS1	SCHOOL_CLSS2	STUDY_TIME	SEX	STU_CNT	TEA_CNT	CLASS_CNT
AREA	1.000	0.175	0.223	0.223	0.000	0.426	0.078	NaN	0.715	NaN	NaN	0.000	NaN	NaN	0.734
OPEN_DATE	0.175	1.000	0.250	0.250	0.433	0.619	0.419	NaN	0.654	NaN	NaN	0.600	NaN	NaN	0.237
HOUS_ID	0.223	0.250	1.000	1.000	0.735	0.869	0.850	0.100	0.375	0.928	0.577	0.370	0.000	0.000	0.368
BLD_CD	0.223	0.250	1.000	1.000	0.735	0.869	0.850	0.100	0.375	0.928	0.577	0.370	0.000	0.000	0.368
X_AXIS	0.000	0.433	0.735	0.735	1.000	0.754	0.383	0.068	0.159	0.797	0.060	0.495	0.410	0.246	0.182
Y_AXIS	0.426	0.619	0.869	0.869	0.754	1.000	0.572	0.000	0.337	0.749	0.555	0.515	0.184	0.265	0.457
BLK_CD	0.078	0.419	0.850	0.850	0.383	0.572	1.000	0.000	0.085	0.626	0.437	0.211	0.272	0.318	0.000
CAMPUS_CLSS	NaN	NaN	0.100	0.100	0.068	0.000	0.000	1.000	0.313	0.000	0.867	NaN	0.000	0.000	NaN
SCHOOL_CLSS1	0.715	0.654	0.375	0.375	0.159	0.337	0.085	0.313	1.000	NaN	0.867	0.000	0.486	0.446	0.799
SCHOOL_CLSS2	NaN	NaN	0.928	0.928	0.797	0.749	0.626	0.000	NaN	1.000	1.000	NaN	0.544	0.364	NaN
STUDY_TIME	NaN	NaN	0.577	0.577	0.060	0.555	0.437	0.867	0.867	1.000	1.000	NaN	0.760	0.519	NaN
SEX	0.000	0.600	0.370	0.370	0.495	0.515	0.211	NaN	0.000	NaN	NaN	1.000	NaN	NaN	0.208
STU_CNT	NaN	NaN	0.000	0.000	0.410	0.184	0.272	0.000	0.486	0.544	0.760	NaN	1.000	1.000	NaN
TEA_CNT	NaN	NaN	0.000	0.000	0.246	0.265	0.318	0.000	0.446	0.364	0.519	NaN	1.000	1.000	NaN
CLASS_CNT	0.734	0.237	0.368	0.368	0.182	0.457	0.000	NaN	0.799	NaN	NaN	0.208	NaN	NaN	1.000

Heatmap
Table

	CAMPUS_CLSS	SEX	STUDY_TIME	SCHOOL_CLSS1
CAMPUS_CLSS	1.000	1.000	0.650	0.330
SEX	1.000	1.000	1.000	0.000
STUDY_TIME	0.650	1.000	1.000	0.528
SCHOOL_CLSS1	0.330	0.000	0.528	1.000

Heatmap
Table

	AREA	OPEN_DATE	HOUS_ID	BLD_CD	X_AXIS	Y_AXIS	BLK_CD	STU_CNT	TEA_CNT	CLASS_CNT	CAMPUS_CLSS	SCHOOL_CLSS1	STUDY_TIME	SEX
AREA	1.000	-0.472	-0.047	-0.052	0.106	0.095	0.167	0.697	0.761	0.694	1.000	0.501	1.000	0.000
OPEN_DATE	-0.472	1.000	0.342	0.335	0.175	-0.160	0.002	-0.422	-0.415	-0.479	1.000	0.307	1.000	0.347
HOUS_ID	-0.047	0.342	1.000	0.999	0.687	-0.798	-0.028	-0.164	-0.127	-0.093	0.067	0.266	0.262	0.353
BLD_CD	-0.052	0.335	0.999	1.000	0.687	-0.798	-0.033	-0.167	-0.132	-0.097	0.471	0.000	0.395	0.460
X_AXIS	0.106	0.175	0.687	0.687	1.000	-0.383	-0.017	-0.241	-0.144	-0.170	0.052	0.088	0.000	0.289
Y_AXIS	0.095	-0.160	-0.798	-0.798	-0.383	1.000	0.235	0.033	0.043	0.037	0.000	0.176	0.364	0.369
BLK_CD	0.167	0.002	-0.028	-0.033	-0.017	0.235	1.000	-0.106	-0.009	-0.047	0.000	0.028	0.177	0.191
STU_CNT	0.697	-0.422	-0.164	-0.167	-0.241	0.033	-0.106	1.000	0.829	0.873	0.000	0.336	0.697	1.000
TEA_CNT	0.761	-0.415	-0.127	-0.132	-0.144	0.043	-0.009	0.829	1.000	0.857	0.000	0.332	0.513	1.000
CLASS_CNT	0.694	-0.479	-0.093	-0.097	-0.170	0.037	-0.047	0.873	0.857	1.000	1.000	0.573	1.000	0.000
CAMPUS_CLSS	1.000	1.000	0.067	0.471	0.052	0.000	0.000	0.000	0.000	1.000	1.000	0.330	0.650	1.000
SCHOOL_CLSS1	0.501	0.307	0.266	0.000	0.088	0.176	0.028	0.336	0.332	0.573	0.330	1.000	0.528	0.000
STUDY_TIME	1.000	1.000	0.262	0.395	0.000	0.364	0.177	0.697	0.513	1.000	0.650	0.528	1.000	1.000
SEX	0.000	0.347	0.353	0.460	0.289	0.369	0.191	1.000	1.000	0.000	1.000	0.000	1.000	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

	SCHOOL_CD	SCHOOL_NM	ADDRESS	AREA	OPEN_DATE	HOUS_ID	BLD_CD	HOUS_ADDR	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	CAMPUS_CLSS	SCHOOL_CLSS1	SCHOOL_CLSS2	STUDY_TIME	SEX	STU_CNT	TEA_CNT	CLASS_CNT
0	S11942	서울농학교	서울특별시 종로구 필운대로 103(신교동)	27058	19130401	1111010200000010001	1111010200100010001030811	서울특별시 종로구 신교동 1-1번지	서울특별시 종로구 필운대로 103	309118	554207	361665	본교	특수학교	<NA>	주간	남여공학	91	61	29
1	S11940	서울맹학교	서울특별시 종로구 필운대로 97(신교동)	10184	19130401	1111010200000010004	1111010200100010004031118	서울특별시 종로구 신교동 1-4번지	서울특별시 종로구 필운대로 97	309028	554111	361665	본교	특수학교	<NA>	주간	남여공학	194	73	39
2	C00287	가람어린이집	서울특별시 종로구 통일로 246-20 111동 101호9(무악동무악현대아파트)	<NA>	<NA>	1111018700000820000	1111018700100820000021145	서울특별시 종로구 무악동 82번지	서울특별시 종로구 통일로 246-20	308292	552979	323899	본교	어린이집	<NA>	<NA>	<NA>	20	4	4
3	C28551	동화속아이들어린이집	서울특별시 종로구 통일로 246-11 무악현대아파트 단지내	<NA>	<NA>	1111018700000830000	1111018700100830000021163	서울특별시 종로구 무악동 83번지	서울특별시 종로구 통일로 246-11	308265	553037	323449	본교	어린이집	<NA>	<NA>	<NA>	65	12	6
4	C00009	SGI서울보증 어린이집	서울특별시 종로구 김상옥로 29 2층	<NA>	<NA>	1111016000001360074	1111016000101360074012513	서울특별시 종로구 연지동 136-74번지	서울특별시 종로구 김상옥로 29	311915	552845	361220	본교	어린이집	<NA>	<NA>	<NA>	49	23	4
5	S09678	대신고등학교	서울특별시 종로구 사직로 9(행촌동)	19636	19380405	1111018100001710001	1111018100101710010020841	서울특별시 종로구 행촌동 171-1번지	서울특별시 종로구 사직로 9	308439	552825	354308	본교	고등학교	<NA>	주간	남자	762	60	27
6	S06467	대신중학교	서울특별시 종로구 사직로 9(행촌동)	<NA>	19380405	1111018100001710001	1111018100101710010020841	서울특별시 종로구 행촌동 171-1번지	서울특별시 종로구 사직로 9	308439	552825	354308	본교	중학교	<NA>	주간	남자	384	29	15
7	C17847	종로구청직장어린이집	서울특별시 종로구 삼봉로 43 (수송동)	<NA>	<NA>	1111012400001460002	1111012400101460002013567	서울특별시 종로구 수송동 146-2번지	서울특별시 종로구 삼봉로 43	309990	552816	353143	본교	어린이집	<NA>	<NA>	<NA>	35	10	3
8	K00393	세검정유치원	서울특별시 종로구 자하문로 310(홍지동)	972	19810118	1111018500000940003	1111018500100940003025510	서울특별시 종로구 홍지동 94-3번지	서울특별시 종로구 자하문로 310	308331	555839	360833	본교	유치원	<NA>	<NA>	<NA>	72	6	3
9	K00396	옥인유치원	서울특별시 종로구 자하문로 69(옥인동)	423	19930227	1111011100000180000	1111011100100180000030505	서울특별시 종로구 옥인동 18번지	서울특별시 종로구 자하문로 69	309253	553826	352278	본교	유치원	<NA>	<NA>	<NA>	69	6	3

	SCHOOL_CD	SCHOOL_NM	ADDRESS	AREA	OPEN_DATE	HOUS_ID	BLD_CD	HOUS_ADDR	ROAD_ADDR	X_AXIS	Y_AXIS	BLK_CD	CAMPUS_CLSS	SCHOOL_CLSS1	SCHOOL_CLSS2	STUDY_TIME	SEX	STU_CNT	TEA_CNT	CLASS_CNT
190	C29338	딩동댕	서울특별시 성동구 둘레13길 15 (성수동2가)	<NA>	<NA>	1120011500004520000	1120011500104520000006841	서울특별시 성동구 성수동2가 452번지	서울특별시 성동구 둘레13길 15	316501	548633	209730	본교	어린이집	<NA>	<NA>	<NA>	46	45	4
191	C33384	즐거운	서울특별시 성동구 둘레15길15-1	<NA>	<NA>	1120011500006610002	1120011500106610002006813	서울특별시 성동구 성수동2가 661-2번지	서울특별시 성동구 둘레15길 15-1	316718	548644	209743	본교	어린이집	<NA>	<NA>	<NA>	49	8	6
192	C25722	구립 진터마루	서울특별시 성동구 둘레3길18	<NA>	<NA>	1120011400001710000	1120011400101710000008778	서울특별시 성동구 성수동1가 171번지	서울특별시 성동구 둘레3길 18	316005	548930	209605	본교	어린이집	<NA>	<NA>	<NA>	96	15	6
193	C29544	예사랑	서울특별시 성동구 둘레9길 20-5	<NA>	<NA>	1120011500003510000	1120011500103510000000001	서울특별시 성동구 성수동2가 351번지	서울특별시 성동구 둘레9길 20-5	316369	548803	209702	본교	어린이집	<NA>	<NA>	<NA>	39	32	4
194	C01487	금빛	서울특별시 성동구 마장로 37길 7 101동 102호 (마장동대성유니드아파트)	<NA>	<NA>	1120010500008250000	1120010500108250000027551	서울특별시 성동구 마장동 825번지	서울특별시 성동구 마장로37길 7	315280	552022	413926	본교	어린이집	<NA>	<NA>	<NA>	20	5	3
195	C26034	구립 마장	서울특별시 성동구 마장로 44길 10로	<NA>	<NA>	1120010500007800000	1120010500107800000021090	서울특별시 성동구 마장동 780번지	서울특별시 성동구 마장로44길 10	315880	552001	207831	본교	어린이집	<NA>	<NA>	<NA>	116	22	7
196	C01104	구립 매봉도담	서울특별시 성동구 매봉길88	<NA>	<NA>	1120011300005280003	1120011300105470000010561	서울특별시 성동구 옥수동 528-3번지	서울특별시 성동구 매봉길 88	312966	550124	415755	본교	어린이집	<NA>	<NA>	<NA>	49	10	4
197	C01103	구립 맑은샘	서울특별시 성동구 매봉길 51	<NA>	<NA>	1120011300005280002	1120011300105280002000001	서울특별시 성동구 옥수동 528-2번지	서울특별시 성동구 매봉길 51	313013	549830	415755	본교	어린이집	<NA>	<NA>	<NA>	68	9	5
198	C25710	구립 옥수힐스	서울특별시 성동구 매봉길 50 (옥수동 옥수파크힐스 2단지)	<NA>	<NA>	1120011300005280000	1120011300105340000010923	서울특별시 성동구 옥수동 528번지	서울특별시 성동구 매봉길 50	312901	549903	415639	본교	어린이집	<NA>	<NA>	<NA>	45	44	4
199	C00923	구립 옥수파크	서울특별시 성동구 매봉길50	<NA>	<NA>	1120011300005280000	1120011300105340000010923	서울특별시 성동구 옥수동 528번지	서울특별시 성동구 매봉길 50	312901	549903	415639	본교	어린이집	<NA>	<NA>	<NA>	41	10	4

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

Uppercase Letter

Space Separator

Other Punctuation

Decimal Number

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

Uppercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

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

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block