## Working with Number Datasets

rumana777 · Post by **rumana777** » Wed May 21, 2025 4:24 am

### 3. Web Scraping

Web scraping involves extracting data from websites. This technique can be used to gather numerical data, such as product prices, user ratings, or social media metrics.

### 4. IoT Devices

The Internet of Things (IoT) generates vast amounts of numerical argentina number dataset data from sensors and connected devices. Examples include temperature readings from smart thermostats or activity data from fitness trackers.

### 1. Data Cleaning

Before analysis, it is essential to clean the dataset. Common cleaning tasks include:

- **Removing Duplicates**: Ensuring that each observation is unique.
- **Handling Missing Values**: Deciding how to address any gaps in the data, such as imputing values or removing incomplete records.
- **Standardizing Formats**: Ensuring consistency in units of measurement and data types.

### 2. Data Exploration

Exploratory Data Analysis (EDA) involves summarizing the main characteristics of a dataset using statistical graphics and other data visualization methods. Key techniques include: