Data Manipulation & Data Cleaning

Data Manipulation & Data Cleaning

Professional Development

20 Qs

quiz-placeholder

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Data Manipulation & Data Cleaning

Data Manipulation & Data Cleaning

Assessment

Quiz

Other

Professional Development

Practice Problem

Medium

Created by

Riza Nurhasyifa

Used 2+ times

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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Rumus untuk menghapus baris yang duplikat

df.drop_duplicates

df.drop_duplicates()

df.drop_duplicates(inplace=True)

df.drop_duplicates(inplace=False)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Manakah yang bukan termasuk Dataframe attributes

head

Dtypes

Size

Shape

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Manakah method untuk drop missing value pada baris

data.dropna()

data.dropna(axis=1)

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Mana code yang benar untuk membuat pivot table dengan baris Contract, kolom PaymentMethod dan value adalah rata-rata TotalCharges

pivot_table = df.pivot_table(index='TotalCharges', columns='Contract', values='PaymentMethod', aggfunc=['median'])

pivot_table = df.pivot_table(index='Contract', columns='PaymentMethod', values='TotalCharges', aggfunc=['mean'])

pivot_table = df.pivot_table(index='TotalCharges', columns='Contract', values='Contract', aggfunc=['median'])

pivot_table = df.pivot_table(index='PaymentMethod', columns='Contract', values='TotalCharges', aggfunc=['mean'])

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Manakah method untuk drop missing value pada kolom

data.dropna()

data.dropna(axis=1)

data.drop(axis = 0)

data.isna().sum()

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Berikut ini merupakan bagian dari data importing, kecuali?

pd.read_csv()

pd.read_table()

pd.DataFrame()

pd.describe()

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Apa yang dimaksud data cleaning?

Proses menghasilkan data baru dari data yang ada

Proses menghapus data yang tidak relevan

Proses membersihkan dan memperbaiki data yang tidak lengkap, tidak akurat, atau tidak terstruktur

Proses menyimpan data dalam format yang berbeda

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