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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
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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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) ```
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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