atabase as of July 2017. 1. First, download lego_sets.csv and upload it to Colab. The CSV file has been ad 5] 1 2. Display the first 5 rows of the data set 6] 1 3. Display the last 5 rows of the data-set. 11 4. Use shape to display the size of the data-set. 11 5. Display the data types of each column.
atabase as of July 2017. 1. First, download lego_sets.csv and upload it to Colab. The CSV file has been ad 5] 1 2. Display the first 5 rows of the data set 6] 1 3. Display the last 5 rows of the data-set. 11 4. Use shape to display the size of the data-set. 11 5. Display the data types of each column.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
 of every official Lego set in the Rebrickable database as of July 2017.
**E1.** First, download [lego_sets.csv](https://example.com/lego_sets.csv) and upload it to Colab. The CSV file has been adapted slightly from the original dataset.
```python
[1]
```
**E2.** Display the first 5 rows of the dataset.
```python
[6]
```
**E3.** Display the last 5 rows of the dataset.
```python
[1]
```
**E4.** Use `shape` to display the size of the dataset.
```python
[1]
```
**E5.** Display the data types of each column.
```python
[1]
```
**E6.** Call `info()` on the dataframe.
```python
[1]
```
**E7.** Drop the mysterious `Unnamed: 0` column. Be sure to make the change "in place".
```python
yourdataframe.drop(['Unnamed: 0'], axis=1, inplace=True)
```](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa684ef64-b106-44e3-b477-7930de74cd26%2F4c1b6d40-e5bb-40a2-acb2-4d324856a1f7%2Fpt0p2b_processed.png&w=3840&q=75)
Transcribed Image Text:In this assignment, you will be working with a dataset of [Lego Parts/Sets/Colors and Inventories](https://rebrickable.com/downloads) of every official Lego set in the Rebrickable database as of July 2017.
**E1.** First, download [lego_sets.csv](https://example.com/lego_sets.csv) and upload it to Colab. The CSV file has been adapted slightly from the original dataset.
```python
[1]
```
**E2.** Display the first 5 rows of the dataset.
```python
[6]
```
**E3.** Display the last 5 rows of the dataset.
```python
[1]
```
**E4.** Use `shape` to display the size of the dataset.
```python
[1]
```
**E5.** Display the data types of each column.
```python
[1]
```
**E6.** Call `info()` on the dataframe.
```python
[1]
```
**E7.** Drop the mysterious `Unnamed: 0` column. Be sure to make the change "in place".
```python
yourdataframe.drop(['Unnamed: 0'], axis=1, inplace=True)
```
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