Data Cleansing

Data Cleansing

Professional Development

11 Qs

quiz-placeholder

Similar activities

"Vacina não é fake news"

"Vacina não é fake news"

Professional Development

11 Qs

Know Your Brand

Know Your Brand

Professional Development

7 Qs

Labour and Fetal Asphyxia

Labour and Fetal Asphyxia

Professional Development

10 Qs

Rewarding CDB

Rewarding CDB

Professional Development

11 Qs

What works in lessons for you?

What works in lessons for you?

Professional Development

9 Qs

IBEX A-ISB

IBEX A-ISB

Professional Development

10 Qs

Post Test Payfazz 12 Oktober

Post Test Payfazz 12 Oktober

Professional Development

10 Qs

TalentNext Test Day-13-Core Java Topics

TalentNext Test Day-13-Core Java Topics

Professional Development

10 Qs

Data Cleansing

Data Cleansing

Assessment

Quiz

Professional Development

Professional Development

Hard

Created by

Arjun Aji

Used 3+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

Tools di dalam python untuk data cleansing adalah ...

RegEx

Excel

Google colab

virtualenv

2.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

Alasan yang salah dalam melakukan data cleansing adalah ...

Accuracy

Kepercayaan terhadap data

deliverability

relevansi data

3.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

untuk mencari semua huruf kapital dengan lebih dari 3 huruf dari variabel text, fungsi regex yang tepat adalah ...

re.findall('[A-Z]{3}', text)

re.findall('(A-Z){3}', text)

re.findall('[A-Z]{4,}', text)

re.findall('(A-Z){4,}', text)

4.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

how to drop missing value in variable df, using pandas ?

df.dropnull()

df.dropna()

df.drop(missing_value=True)

df.read_csv

5.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

re.sub('\s+', '\n', text) adalah fungsi regex untuk ...

memisahkan teks dengan '\s+'

memisahkan berdasarkan jarak di antara kita

menemukan semua teks di antara '\s+' dan '\n'

mengganti spasi dengan enter

6.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

bagaimana cara cek 5 data terakhir dari dataframe ?

df.tail()

re.findall(last=True)

df.describe

def tail():

7.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

syntax JSON mirip dengan penulisan ...

list

set

dictionary

tuple

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?