Overview

Dataset statistics

Number of variables7
Number of observations200
Missing cells403
Missing cells (%)28.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory59.7 B

Variable types

Numeric1
Categorical1
DateTime1
Text2
Unsupported2

Dataset

DescriptionSample
Author코난테크놀로지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KNTINST2019100000001

Alerts

SITENAME has constant value ""Constant
TITLE has 200 (100.0%) missing valuesMissing
BODY has 3 (1.5%) missing valuesMissing
MORPHEME has 200 (100.0%) missing valuesMissing
IDX has unique valuesUnique
URL has unique valuesUnique
TITLE is an unsupported type, check if it needs cleaning or further analysisUnsupported
MORPHEME is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 06:15:55.436596
Analysis finished2023-12-10 06:15:56.854499
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

IDX
Real number (ℝ)

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:56.981164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q150.75
median100.5
Q3150.25
95-th percentile190.05
Maximum200
Range199
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation57.879185
Coefficient of variation (CV)0.57591228
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)50
Skewness0
Sum20100
Variance3350
MonotonicityStrictly increasing
2023-12-10T15:15:57.222806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%

SITENAME
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
인스타그램
200 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인스타그램 200
100.0%

Length

2023-12-10T15:15:57.527969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:57.678600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인스타그램 200
100.0%

WRITE_DATE
Date

Distinct96
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-12-01 00:00:02
Maximum2019-12-01 00:02:21
2023-12-10T15:15:57.842145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:58.091728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

URL
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:58.499298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length40
Mean length40
Min length40

Characters and Unicode

Total characters8000
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)100.0%

Sample

1st rowhttps://www.instagram.com/p/B5fmq33nXGt/
2nd rowhttps://www.instagram.com/p/B5fmq1QAonM/
3rd rowhttps://www.instagram.com/p/B5fmqsIl-YP/
4th rowhttps://www.instagram.com/p/B5fmsMGFhCk/
5th rowhttps://www.instagram.com/p/B5fmsIAgd4T/
ValueCountFrequency (%)
https://www.instagram.com/p/b5fmq33nxgt 1
 
0.5%
https://www.instagram.com/p/b5fm2wfb8cw 1
 
0.5%
https://www.instagram.com/p/b5fmzalfifr 1
 
0.5%
https://www.instagram.com/p/b5fmtcnh-xu 1
 
0.5%
https://www.instagram.com/p/b5fmsibhhbn 1
 
0.5%
https://www.instagram.com/p/b5fmrq1nvda 1
 
0.5%
https://www.instagram.com/p/b5fmq9efeo 1
 
0.5%
https://www.instagram.com/p/b5fm3sefddw 1
 
0.5%
https://www.instagram.com/p/b5fm3lml_ep 1
 
0.5%
https://www.instagram.com/p/b5fm3atgtsj 1
 
0.5%
Other values (190) 190
95.0%
2023-12-10T15:15:59.084302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1000
 
12.5%
t 645
 
8.1%
w 621
 
7.8%
m 616
 
7.7%
s 430
 
5.4%
p 428
 
5.3%
a 418
 
5.2%
. 400
 
5.0%
r 240
 
3.0%
g 238
 
3.0%
Other values (57) 2964
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5252
65.6%
Other Punctuation 1600
 
20.0%
Uppercase Letter 696
 
8.7%
Decimal Number 415
 
5.2%
Connector Punctuation 19
 
0.2%
Dash Punctuation 18
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 645
12.3%
w 621
11.8%
m 616
11.7%
s 430
 
8.2%
p 428
 
8.1%
a 418
 
8.0%
r 240
 
4.6%
g 238
 
4.5%
n 237
 
4.5%
h 231
 
4.4%
Other values (16) 1148
21.9%
Uppercase Letter
ValueCountFrequency (%)
B 236
33.9%
F 47
 
6.8%
J 34
 
4.9%
A 33
 
4.7%
H 31
 
4.5%
T 21
 
3.0%
O 19
 
2.7%
D 18
 
2.6%
M 18
 
2.6%
P 18
 
2.6%
Other values (16) 221
31.8%
Decimal Number
ValueCountFrequency (%)
5 216
52.0%
3 33
 
8.0%
1 30
 
7.2%
7 26
 
6.3%
2 22
 
5.3%
6 22
 
5.3%
4 22
 
5.3%
0 16
 
3.9%
9 16
 
3.9%
8 12
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 1000
62.5%
. 400
 
25.0%
: 200
 
12.5%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5948
74.4%
Common 2052
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 645
 
10.8%
w 621
 
10.4%
m 616
 
10.4%
s 430
 
7.2%
p 428
 
7.2%
a 418
 
7.0%
r 240
 
4.0%
g 238
 
4.0%
n 237
 
4.0%
B 236
 
4.0%
Other values (42) 1839
30.9%
Common
ValueCountFrequency (%)
/ 1000
48.7%
. 400
 
19.5%
5 216
 
10.5%
: 200
 
9.7%
3 33
 
1.6%
1 30
 
1.5%
7 26
 
1.3%
2 22
 
1.1%
6 22
 
1.1%
4 22
 
1.1%
Other values (5) 81
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1000
 
12.5%
t 645
 
8.1%
w 621
 
7.8%
m 616
 
7.7%
s 430
 
5.4%
p 428
 
5.3%
a 418
 
5.2%
. 400
 
5.0%
r 240
 
3.0%
g 238
 
3.0%
Other values (57) 2964
37.0%

TITLE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

BODY
Text

MISSING 

Distinct196
Distinct (%)99.5%
Missing3
Missing (%)1.5%
Memory size1.7 KiB
2023-12-10T15:15:59.550568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length723
Median length205
Mean length106.43655
Min length2

Characters and Unicode

Total characters20968
Distinct characters944
Distinct categories18 ?
Distinct scripts13 ?
Distinct blocks22 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)99.0%

Sample

1st row내일 드디어 외출 얼마만에 외출이냐 흑흑ㄱ.. . . . #일상 #일상스타그램 #주말 #ootd #브이넥 #데일리룩 #daily #좋아요 #소통해요 #소통 #거울샷 #선팔 #선팔하면맞팔 #선팔맞팔 #맞팔 #followforfollowback #following #follow4followback
2nd row의정부는 왜이리 춥죠..? . . #의정부 #가능동 #99 #21 #군인 #휴가 #광장 #전신샷 #배경사진 #아이폰11 #블레이져 #와이드슬랙스 #컨버스 #컨버스올스타 #로우 #대학생 #f4f #liker #데일리룩 #결혼식하객패션 #패션 #팔로우 #맞팔 #소통 #다렉 #선팔맞팔 #추위
3rd row12월달❄ - - @ji_yun0723#좋아요#좋아요반사#좋반댓#좋반#좋아요 #선팔#맞팔#선팔하면맞팔#선팔맞팔#팔로우#팔로우미#셀카#셀피#데일리#데일리룩#오오티디#일상#셀스타그램#daily#ootd #follow #followme#follower #followforfollowback#followers #follow4follow #likeforlike #like4likes#l4l#liker
4th row마지막 달 화이팅 . . . #대구 #일상 #소통 #love #데일리 #daily #오오티디 #ootd #팔로우 #팔로우미 #follow #followme #선팔 #맞팔 #다렉 #댓글 #f4f #l4l #인친 #instagood #insta #셀카 #셀피 #selca #selfie #좋아요 #좋아요반사 #likeforfollow #followforfollowback
5th row대반동은 날씨 따듯할때 가야겠어 . . . #일상 #데일리 #소통 #셀피 #셀카 #셀스타그램 #얼스타그램 #오늘의훈녀 #선팔 #맞팔 #선팔맞팔 #맞팔해요 #선팔하면맞팔 #팔로우 #팔로잉 #좋아요 #좋아요반사 #좋반 #오오티디 #ootd #selfie #selca #followforfollowback #followforlike #follow4followback #likeforlikes #likeforfollow #like4likes #daily #목포
ValueCountFrequency (%)
314
 
9.1%
일상 46
 
1.3%
셀스타그램 42
 
1.2%
맞팔 42
 
1.2%
좋아요 40
 
1.2%
소통 36
 
1.0%
셀피 34
 
1.0%
좋아요반사 33
 
1.0%
선팔 33
 
1.0%
 32
 
0.9%
Other values (1765) 2781
81.0%
2023-12-10T15:16:00.328882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3682
 
17.6%
# 2295
 
10.9%
l 555
 
2.6%
o 497
 
2.4%
. 396
 
1.9%
f 338
 
1.6%
e 334
 
1.6%
i 334
 
1.6%
스 312
 
1.5%
팔 291
 
1.4%
Other values (934) 11934
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9698
46.3%
Lowercase Letter 3897
18.6%
Space Separator 3683
 
17.6%
Other Punctuation 2817
 
13.4%
Decimal Number 492
 
2.3%
Other Symbol 95
 
0.5%
Uppercase Letter 70
 
0.3%
Nonspacing Mark 50
 
0.2%
Format 37
 
0.2%
Math Symbol 28
 
0.1%
Other values (8) 101
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 312
 
3.2%
팔 291
 
3.0%
그 262
 
2.7%
타 260
 
2.7%
램 243
 
2.5%
일 217
 
2.2%
아 196
 
2.0%
요 192
 
2.0%
좋 176
 
1.8%
이 173
 
1.8%
Other values (799) 7376
76.1%
Lowercase Letter
ValueCountFrequency (%)
l 555
14.2%
o 497
12.8%
f 338
 
8.7%
e 334
 
8.6%
i 334
 
8.6%
a 243
 
6.2%
s 213
 
5.5%
k 183
 
4.7%
t 163
 
4.2%
d 135
 
3.5%
Other values (22) 902
23.1%
Other Symbol
ValueCountFrequency (%)
⠀ 29
30.5%
❤ 19
20.0%
✓ 10
 
10.5%
✔ 8
 
8.4%
❣ 5
 
5.3%
♡ 3
 
3.2%
❄ 3
 
3.2%
✨ 2
 
2.1%
♀ 2
 
2.1%
❗ 2
 
2.1%
Other values (11) 12
12.6%
Uppercase Letter
ValueCountFrequency (%)
E 10
14.3%
T 8
11.4%
B 6
 
8.6%
S 6
 
8.6%
R 6
 
8.6%
D 6
 
8.6%
M 5
 
7.1%
L 3
 
4.3%
N 3
 
4.3%
P 2
 
2.9%
Other values (10) 15
21.4%
Other Punctuation
ValueCountFrequency (%)
# 2295
81.5%
. 396
 
14.1%
! 28
 
1.0%
* 19
 
0.7%
: 17
 
0.6%
? 16
 
0.6%
/ 9
 
0.3%
@ 9
 
0.3%
• 5
 
0.2%
‼ 4
 
0.1%
Other values (8) 19
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 134
27.2%
2 96
19.5%
0 83
16.9%
4 73
14.8%
9 39
 
7.9%
7 20
 
4.1%
3 14
 
2.8%
6 11
 
2.2%
5 11
 
2.2%
8 8
 
1.6%
Other values (2) 3
 
0.6%
Modifier Letter
ValueCountFrequency (%)
ー 5
45.5%
ﾟ 2
 
18.2%
ˋ 1
 
9.1%
ᵕ 1
 
9.1%
ˊ 1
 
9.1%
々 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 20
71.4%
> 4
 
14.3%
+ 2
 
7.1%
= 1
 
3.6%
₊ 1
 
3.6%
Format
ValueCountFrequency (%)
 32
86.5%
‍ 3
 
8.1%
​ 1
 
2.7%
‪ 1
 
2.7%
Nonspacing Mark
ValueCountFrequency (%)
️ 46
92.0%
̈ 3
 
6.0%
ੈ 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
78.9%
〰 3
 
15.8%
— 1
 
5.3%
Space Separator
ValueCountFrequency (%)
3682
> 99.9%
  1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
[ 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 16
94.1%
] 1
 
5.9%
Modifier Symbol
ValueCountFrequency (%)
^ 9
90.0%
˚ 1
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Enclosing Mark
ValueCountFrequency (%)
⃣ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9320
44.4%
Common 7213
34.4%
Latin 3967
18.9%
Hiragana 203
 
1.0%
Han 112
 
0.5%
Katakana 60
 
0.3%
Inherited 56
 
0.3%
Braille 29
 
0.1%
Gurmukhi 3
 
< 0.1%
Sinhala 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 312
 
3.3%
팔 291
 
3.1%
그 262
 
2.8%
타 260
 
2.8%
램 243
 
2.6%
일 217
 
2.3%
아 196
 
2.1%
요 192
 
2.1%
좋 176
 
1.9%
이 173
 
1.9%
Other values (678) 6998
75.1%
Common
ValueCountFrequency (%)
3682
51.0%
# 2295
31.8%
. 396
 
5.5%
1 134
 
1.9%
2 96
 
1.3%
0 83
 
1.2%
4 73
 
1.0%
9 39
 
0.5%
 32
 
0.4%
! 28
 
0.4%
Other values (64) 355
 
4.9%
Latin
ValueCountFrequency (%)
l 555
14.0%
o 497
12.5%
f 338
 
8.5%
e 334
 
8.4%
i 334
 
8.4%
a 243
 
6.1%
s 213
 
5.4%
k 183
 
4.6%
t 163
 
4.1%
d 135
 
3.4%
Other values (42) 972
24.5%
Han
ValueCountFrequency (%)
韓 12
 
10.7%
国 12
 
10.7%
人 10
 
8.9%
好 9
 
8.0%
繋 8
 
7.1%
返 8
 
7.1%
気 3
 
2.7%
月 2
 
1.8%
楽 2
 
1.8%
味 2
 
1.8%
Other values (41) 44
39.3%
Hiragana
ValueCountFrequency (%)
い 26
 
12.8%
し 18
 
8.9%
た 16
 
7.9%
り 10
 
4.9%
き 10
 
4.9%
と 10
 
4.9%
す 9
 
4.4%
な 9
 
4.4%
が 9
 
4.4%
ね 8
 
3.9%
Other values (34) 78
38.4%
Katakana
ValueCountFrequency (%)
フ 11
18.3%
ォ 7
11.7%
ロ 6
 
10.0%
ン 5
 
8.3%
ッ 3
 
5.0%
カ 3
 
5.0%
ェ 2
 
3.3%
ァ 2
 
3.3%
バ 2
 
3.3%
リ 2
 
3.3%
Other values (14) 17
28.3%
Inherited
ValueCountFrequency (%)
️ 46
82.1%
⃣ 4
 
7.1%
̈ 3
 
5.4%
‍ 3
 
5.4%
Gurmukhi
ValueCountFrequency (%)
੭ 2
66.7%
ੈ 1
33.3%
Braille
ValueCountFrequency (%)
⠀ 29
100.0%
Sinhala
ValueCountFrequency (%)
ෆ 2
100.0%
Oriya
ValueCountFrequency (%)
ଘ 1
100.0%
Batak
ValueCountFrequency (%)
ᯅ 1
100.0%
Georgian
ValueCountFrequency (%)
ღ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11033
52.6%
Hangul 9280
44.3%
Hiragana 203
 
1.0%
CJK 111
 
0.5%
Katakana 68
 
0.3%
None 56
 
0.3%
Dingbats 52
 
0.2%
VS 46
 
0.2%
Compat Jamo 40
 
0.2%
Braille 29
 
0.1%
Other values (12) 50
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3682
33.4%
# 2295
20.8%
l 555
 
5.0%
o 497
 
4.5%
. 396
 
3.6%
f 338
 
3.1%
e 334
 
3.0%
i 334
 
3.0%
a 243
 
2.2%
s 213
 
1.9%
Other values (69) 2146
19.5%
Hangul
ValueCountFrequency (%)
스 312
 
3.4%
팔 291
 
3.1%
그 262
 
2.8%
타 260
 
2.8%
램 243
 
2.6%
일 217
 
2.3%
아 196
 
2.1%
요 192
 
2.1%
좋 176
 
1.9%
이 173
 
1.9%
Other values (668) 6958
75.0%
VS
ValueCountFrequency (%)
️ 46
100.0%
None
ValueCountFrequency (%)
 32
57.1%
⃣ 4
 
7.1%
à 3
 
5.4%
， 3
 
5.4%
〰 3
 
5.4%
！ 2
 
3.6%
ì 2
 
3.6%
ﾟ 2
 
3.6%
ũ 1
 
1.8%
  1
 
1.8%
Other values (3) 3
 
5.4%
Braille
ValueCountFrequency (%)
⠀ 29
100.0%
Hiragana
ValueCountFrequency (%)
い 26
 
12.8%
し 18
 
8.9%
た 16
 
7.9%
り 10
 
4.9%
き 10
 
4.9%
と 10
 
4.9%
す 9
 
4.4%
な 9
 
4.4%
が 9
 
4.4%
ね 8
 
3.9%
Other values (34) 78
38.4%
Dingbats
ValueCountFrequency (%)
❤ 19
36.5%
✓ 10
19.2%
✔ 8
15.4%
❣ 5
 
9.6%
❄ 3
 
5.8%
✨ 2
 
3.8%
❗ 2
 
3.8%
✌ 1
 
1.9%
❕ 1
 
1.9%
✩ 1
 
1.9%
Compat Jamo
ValueCountFrequency (%)
ㅋ 15
37.5%
ㅠ 9
22.5%
ㅎ 4
 
10.0%
ㅡ 4
 
10.0%
ㅏ 3
 
7.5%
ㄱ 1
 
2.5%
ㅣ 1
 
2.5%
ㅜ 1
 
2.5%
ㅂ 1
 
2.5%
ㅅ 1
 
2.5%
CJK
ValueCountFrequency (%)
韓 12
 
10.8%
国 12
 
10.8%
人 10
 
9.0%
好 9
 
8.1%
繋 8
 
7.2%
返 8
 
7.2%
気 3
 
2.7%
月 2
 
1.8%
楽 2
 
1.8%
味 2
 
1.8%
Other values (40) 43
38.7%
Katakana
ValueCountFrequency (%)
フ 11
16.2%
ォ 7
 
10.3%
ロ 6
 
8.8%
ン 5
 
7.4%
ー 5
 
7.4%
ッ 3
 
4.4%
カ 3
 
4.4%
・ 3
 
4.4%
ェ 2
 
2.9%
ァ 2
 
2.9%
Other values (16) 21
30.9%
Punctuation
ValueCountFrequency (%)
• 5
27.8%
‼ 4
22.2%
‍ 3
16.7%
’ 2
 
11.1%
​ 1
 
5.6%
— 1
 
5.6%
‧ 1
 
5.6%
‪ 1
 
5.6%
Misc Symbols
ValueCountFrequency (%)
♡ 3
27.3%
♀ 2
18.2%
♂ 1
 
9.1%
☃ 1
 
9.1%
♪ 1
 
9.1%
☎ 1
 
9.1%
☕ 1
 
9.1%
♥ 1
 
9.1%
Diacriticals
ValueCountFrequency (%)
̈ 3
100.0%
Gurmukhi
ValueCountFrequency (%)
੭ 2
66.7%
ੈ 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
◡ 2
66.7%
▽ 1
33.3%
Sinhala
ValueCountFrequency (%)
ෆ 2
100.0%
Latin Ext Additional
ValueCountFrequency (%)
ọ 1
33.3%
ấ 1
33.3%
ả 1
33.3%
Modifier Letters
ValueCountFrequency (%)
ˋ 1
33.3%
ˊ 1
33.3%
˚ 1
33.3%
Phonetic Ext
ValueCountFrequency (%)
ᵕ 1
100.0%
Oriya
ValueCountFrequency (%)
ଘ 1
100.0%
Batak
ValueCountFrequency (%)
ᯅ 1
100.0%
Georgian
ValueCountFrequency (%)
ღ 1
100.0%

MORPHEME
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

Interactions

2023-12-10T15:15:56.378999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:16:00.506620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
IDXWRITE_DATE
IDX1.0000.891
WRITE_DATE0.8911.000

Missing values

2023-12-10T15:15:56.578152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:15:56.785002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IDXSITENAMEWRITE_DATEURLTITLEBODYMORPHEME
01인스타그램2019-12-01 00:00:04https://www.instagram.com/p/B5fmq33nXGt/<NA>내일 드디어 외출 얼마만에 외출이냐 흑흑ㄱ.. . . . #일상 #일상스타그램 #주말 #ootd #브이넥 #데일리룩 #daily #좋아요 #소통해요 #소통 #거울샷 #선팔 #선팔하면맞팔 #선팔맞팔 #맞팔 #followforfollowback #following #follow4followback<NA>
12인스타그램2019-12-01 00:00:04https://www.instagram.com/p/B5fmq1QAonM/<NA>의정부는 왜이리 춥죠..? . . #의정부 #가능동 #99 #21 #군인 #휴가 #광장 #전신샷 #배경사진 #아이폰11 #블레이져 #와이드슬랙스 #컨버스 #컨버스올스타 #로우 #대학생 #f4f #liker #데일리룩 #결혼식하객패션 #패션 #팔로우 #맞팔 #소통 #다렉 #선팔맞팔 #추위<NA>
23인스타그램2019-12-01 00:00:03https://www.instagram.com/p/B5fmqsIl-YP/<NA>12월달❄ - - @ji_yun0723#좋아요#좋아요반사#좋반댓#좋반#좋아요 #선팔#맞팔#선팔하면맞팔#선팔맞팔#팔로우#팔로우미#셀카#셀피#데일리#데일리룩#오오티디#일상#셀스타그램#daily#ootd #follow #followme#follower #followforfollowback#followers #follow4follow #likeforlike #like4likes#l4l#liker<NA>
34인스타그램2019-12-01 00:00:15https://www.instagram.com/p/B5fmsMGFhCk/<NA>마지막 달 화이팅 . . . #대구 #일상 #소통 #love #데일리 #daily #오오티디 #ootd #팔로우 #팔로우미 #follow #followme #선팔 #맞팔 #다렉 #댓글 #f4f #l4l #인친 #instagood #insta #셀카 #셀피 #selca #selfie #좋아요 #좋아요반사 #likeforfollow #followforfollowback<NA>
45인스타그램2019-12-01 00:00:14https://www.instagram.com/p/B5fmsIAgd4T/<NA>대반동은 날씨 따듯할때 가야겠어 . . . #일상 #데일리 #소통 #셀피 #셀카 #셀스타그램 #얼스타그램 #오늘의훈녀 #선팔 #맞팔 #선팔맞팔 #맞팔해요 #선팔하면맞팔 #팔로우 #팔로잉 #좋아요 #좋아요반사 #좋반 #오오티디 #ootd #selfie #selca #followforfollowback #followforlike #follow4followback #likeforlikes #likeforfollow #like4likes #daily #목포<NA>
56인스타그램2019-12-01 00:00:13https://www.instagram.com/p/B5fmsABFdV9/<NA>코노 가고시풔..<NA>
67인스타그램2019-12-01 00:00:13https://www.instagram.com/p/B5fmr-dBkOB/<NA>나대지말고 패딩 입..틀막 #날씨 . . #데일리#데일리룩#일상#소통#맞팔#팔로우#좋아요#인친#오늘#좋반#선팔#댓글#사진#셀피#셀카#오오티디#아웃핏#옷스타그램#daily#dailylook#follow#f4f#l4l#pic#picoftheday#selfie#selca#outfit#today<NA>
78인스타그램2019-12-01 00:00:13https://www.instagram.com/p/B5fmr_jHDxk/<NA>#sefie #follow #likeforfollow #instadaily #like4like #셀피 #셀카 #소통 #일상 #선팔 #맞팔 #맞팔해요 #인친 #팔로우 #얼스타그램 #선팔하면맞팔 #훈스타그램 #좋아요 #좋아요반사 #셀스타그램 #오늘의훈녀 #갬성스타그램 #전신샷 #오오티디<NA>
89인스타그램2019-12-01 00:00:13https://www.instagram.com/p/B5fmr6tAA_T/<NA>191201 . ✓気付けば12月 ✓本気で早すぎ ✓意味が分からない ✓残りの１ヶ月は色々と全力でやっちゃう ✓そう決めた ✓タピオカはほどほどにする ✓美味しいものを沢山食べる ✓沢山の人に会う ✓動画投稿も頑張る ✓やってやる #일본 #남자 #소통해요 #셀스타그램 #얼스타그램 #데일리룩 #옷스타그램 #멋스타그램 #맞팔 #소통해요 #셀카 #셀피 #데일리룩 #오오티디 #메이크업 #fff #makeup #00td #韓国 #韓国好き #韓国ファッション #韓国好きな人と繋がりたい #남자 #소통해요 #셀스타그램 #얼스타그램 #데일리룩 #옷스타그램 #멋스타그램 #맞팔 #소통해요 #셀카 #셀피 #데일리룩 #오오티디 #메이크업 #fff #makeup #00td #韓国 #韓国好き #韓国ファッション #韓国好きな人と繋がりたい<NA>
910인스타그램2019-12-01 00:00:12https://www.instagram.com/p/B5fmrz8lvua/<NA>12월 이제는 안다치게 해주세요<NA>
IDXSITENAMEWRITE_DATEURLTITLEBODYMORPHEME
190191인스타그램2019-12-01 00:02:13https://www.instagram.com/p/B5fm6mTgrWA/<NA>22.9살 너랑 나 ♡<NA>
191192인스타그램2019-12-01 00:02:13https://www.instagram.com/p/B5fm6pClKKa/<NA>밤하늘의 별 #daily #데일리 #소통 #일상 #맞팔 #인친 #fff #likeforlikes #f4f #f4follow #like4likes #instafollow #맞팔해요 #선팔 #맞팔 #좋아요 #팔로우 #소통해요 #다렉 #selca #selfie #likeforfollow #좋아요반사 #california<NA>
192193인스타그램2019-12-01 00:02:13https://www.instagram.com/p/B5fm6oqlSke/<NA>헤헤 . . . . . #팔로워 #맞팔100 #맞팔 #선팔하면맞팔 #맞팔환영 #맞팔선팔 #맞팔해요 #소통 #무쌍 #훈녀 #셀스타그램 #친스타그램 #홍대 #데일리 #좋아요 #좋반 #좋아요반사 #f4f #likeforfollow #followforfollowback #follow4followback #likeforlikes #followback #like4likes #follow #followme #instagood #interiordesign #instagram #instadaily<NA>
193194인스타그램2019-12-01 00:02:12https://www.instagram.com/p/B5fm6h-hoMP/<NA>2018 마지막 달 팅화<NA>
194195인스타그램2019-12-01 00:02:12https://www.instagram.com/p/B5fm6bolQPE/<NA>오늘은 김장<NA>
195196인스타그램2019-12-01 00:02:07https://www.instagram.com/p/B5fm57KHz69/<NA>시간 가는 줄 몰라<NA>
196197인스타그램2019-12-01 00:02:05https://www.instagram.com/p/B5fm5oQnbUO/<NA>우여곡절 끝에 벌써 12월이네 지난 열한 달 동안 상처도 많이 받고 상처를 많이 주기도 했지만 마지막 한 달은 모든 사람들한테 사랑만 주고 사랑만 받는 예쁘고 따뜻한 12월이 되면 좋겠다 그렇게 되게 해주세요<NA>
197198인스타그램2019-12-01 00:02:01https://www.instagram.com/p/B5fm5LIgous/<NA>곧 처음 맞이하게 될 크리스마스 준비 ⠀ 트리 장식하는데 뚫어지게 신기한듯 쳐다보는 우리 태오 표정은 너무 사랑스러웠다. ⠀ 전구 깜빡이는거에 눈을 떼지 못하는 .. ⠀ 앞으로도 이쁜것만 좋은것만 보여줄게 태오야<NA>
198199인스타그램2019-12-01 00:01:52https://www.instagram.com/p/B5fm3-nhBpd/<NA>희희 ෆ◡̈ෆ<NA>
199200인스타그램2019-12-01 00:01:42https://www.instagram.com/p/B5fm2zvFOOj/<NA>효둥이랑 함께한지 700일 되는 날 앞으로도 쭈욱 함께 하자 사랑해♥️<NA>