📊 Curso Google Sheets ✅ Ordenar datos alfabéticamente y numéricamente

How to Sort Data in Google Sheets

Introduction to Sorting Data

• The video discusses various methods for sorting data in Google Sheets, specifically focusing on a dataset of the most populated cities in Spain.

• The dataset includes columns for municipality, comarca, province, and autonomous community, with Madrid being the most populated city at over 3 million inhabitants.

Sorting by Different Parameters

• Users can sort cities not only by population but also alphabetically or by other numerical values such as altitude and surface area.

• It is important to note that if data is imported via a function (e.g., IMPORTHTML), sorting may disrupt the original order due to automatic updates from the source website.

Correcting Sorting Issues

• To sort correctly without affecting the original data linked to a function, users should copy and paste only the values into a new sheet instead of pasting formulas.

• After copying data into a new sheet using "Paste Special" for values only, sorting will work properly without altering any underlying functions.

Selecting Data for Accurate Sorting

• When sorting municipalities by population or any other parameter, it’s crucial to select all related data; otherwise, only one column will be sorted while others remain unchanged.

• For example, selecting just the municipality names will not reorder corresponding populations or other details correctly. Thus, always select entire rows or relevant datasets when performing sorts.

Utilizing Headers in Sorting

• When sorting large datasets (like 1,000 cities), ensure that you check the option indicating there is a header row; this prevents headers from being sorted with regular data.

• Once headers are recognized during sorting operations, users can choose which column to sort by (e.g., municipality name) and specify ascending or descending order easily through options provided in Google Sheets.

Advanced Sorting Techniques

• Users can also sort based on different parameters like altitude; however, it's essential to understand how these parameters affect ordering (e.g., lowest vs highest altitude).

Sorting Cities by Altitude and Population

Sorting by Altitude

• The speaker demonstrates how to sort a list of cities from highest to lowest altitude, emphasizing that the second row will show the city with the highest elevation among the most populated.

• By sorting first by autonomous communities and then by population within those communities, cities are organized hierarchically. For example, Sevilla appears as the most populated city in Andalucía.

Multi-Criteria Sorting

• The process allows for multiple sorting criteria; after sorting by community, if there are multiple cities in one community, they can be sorted further based on population size.

• The speaker notes that additional columns can be added for sorting purposes, allowing for complex data organization.

Quick Sorting Techniques

• To quickly sort an entire sheet alphabetically without selecting other columns, right-clicking on the column header suffices. This method automatically considers only the selected column.

• If unwanted rows (like headers or empty rows) interfere with sorting, they should be removed beforehand to maintain clarity in results.

Fixing Header Rows During Sort

• To prevent header rows from being sorted along with data, it is essential to freeze the first row via "View" > "Freeze" > "First Row," ensuring it remains static during any sort operation.

Advanced Sorting Options

• When sorting by altitude or population using right-click options, users can choose ascending or descending order. This flexibility allows for tailored views of data based on specific needs.

• The speaker reiterates that advanced sorting techniques provide more control over how data is displayed compared to basic methods.

Summary of Key Points