, , , and elements. - How to download a CSV file: Where to find free datasets for data science projects, and how to download them as CSV files. - How to import a CSV file into an HTML table: How to use Excel or Google Sheets to open and convert a CSV file into an HTML table, and how to copy and paste it into your HTML file. - How to style and analyze your table data: How to use CSS to make your table more readable and attractive, and how to use basic formulas and functions in Excel or Google Sheets to perform some simple data analysis on your table data. - Conclusion: A summary of what you learned in this article, and some resources for further learning. - FAQs: Some frequently asked questions about HTML tables and CSV files, with answers and links. Article with HTML formatting: How to Create Tables in HTML and Download CSV Files
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What are HTML tables and CSV files?
An HTML table is a structured set of data made up of rows and columns. You can use HTML tables to present information such as statistics, schedules, prices, comparisons, etc. on your web pages. HTML tables are created using the <table> element, along with other elements such as <tr> (table row), <th> (table header), and <td> (table data).
A CSV file is a text file that contains data separated by commas (or sometimes other characters). CSV stands for Comma Separated Values. A CSV file can store tabular data in a simple and compact way. For example, a CSV file might look like this:
Name,Age,Country Alice,25,USA Bob,32,UK Charlie,28,Australia
You can open a CSV file in various programs such as Excel or Google Sheets, or import it into an HTML table. This way, you can easily manipulate and analyze the data in the CSV file.
How to create a basic HTML table
To create a basic HTML table, you need to use the following elements:
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<table>: This element defines the table. It contains all the other elements related to the table.
<tr>: This element defines a table row. It contains one or more <th> or <td> elements.
<th>: This element defines a table header cell. It is usually used to display the title or label of a column or row.
<td>: This element defines a table data cell. It is used to display the content of a column or row.
Here is an example of a simple HTML table that shows some information about planets:
<table> <tr> <th>Name</th> <th>Type</th> <th>Moons</th> </tr> <tr> <td>Mercury</td> <td>Terrestrial</ td>Terrestrial</td> <td>0</td> </tr> <tr> <td>Venus</td> <td>Terrestrial</td> <td>0</td> </tr> <tr> <td>Earth</td> <td>Terrestrial</td> <td>1</td> </tr> <tr> <td>Mars</td> <td>Terrestrial</td> <td>2</td> </tr> <tr> <td>Jupiter</td> <td>Gas giant</td> <td>79</td> </tr> <tr> <td>Saturn</td> <td>Gas giant</td> <td>82</td> </tr> <tr> <td>Uranus</td> <td>Ice giant</td> <td>27</td> </tr> <tr> <td>Neptune</td> <td>Ice giant</td> <td>14</td> </tr> </table>
If you save this code as an HTML file and open it in a browser, you will see something like this:
As you can see, the table has a header row with three columns: Name, Type, and Moons. The rest of the rows contain the data for each planet. The data is aligned to the left by default.
How to download a CSV file
Now that you know how to create a basic HTML table, you might want to populate it with some more interesting and relevant data. One way to do that is to download a CSV file from the internet and import it into your table. There are many sources of free datasets for data science projects, such as Kaggle, UCI Machine Learning Repository, Google Dataset Search, etc. You can browse these websites and find a dataset that suits your interest and needs.
For this example, I will use a dataset from Kaggle that contains the air quality index (AQI) for various cities in India. The AQI is a measure of how polluted the air is, based on several parameters such as PM2.5, PM10, NO2, SO2, CO, O3, etc. The dataset has monthly data from January 2015 to April 2020. You can download the dataset from this link: .
After you download the dataset, you will get a zip file that contains several CSV files. Each CSV file corresponds to a city in India. For this example, I will use the file named city_hour.csv, which has hourly data for all the cities. You can unzip the file and open it in Excel or Google Sheets.
How to import a CSV file into an HTML table
Once you have opened the CSV file in Excel or Google Sheets, you will see something like this:
The CSV file has many columns and rows of data. For this example, I will only use a subset of the data to make it easier to display and analyze. I will select the columns City, Datetime, AQI, PM2.5, PM10, NO2, and CO. I will also filter the data by City and Datetime, so that I only get the data for Delhi in January 2020. You can use the filter function in Excel or Google Sheets to do this. After applying the filter, I will get something like this:
Now, I want to convert this data into an HTML table, so that I can display it on my web page. To do this, I will use the following steps:
Select the data that I want to include in the table, and copy it.
Go to a website that can convert CSV data into HTML table, such as .
Paste the data into the input box, and click on the Convert button.
Copy the output HTML code from the output box.
Paste the HTML code into my HTML file, inside the <body> element.
Here is the HTML code that I get from the website:
<table border="1" cellpadding="1" cellspacing="1"> <tr><td>City</td><td>Datetime</td><td>AQI</td><td>PM2.5</td><td>PM10</td><td>NO2</td><td>CO</td></tr> <tr><td>Delhi</td><td>2020-01-01 00:00:00</td><td>472</td><td>269.0</td><td>448.0</td><td>43.0</td><td>1.7</td></tr> <tr><td>Delhi</td><td>2020-01-01 01:00:00</td><td>454</td><td>264.0</td><td>-999.0</td><td>-999.0</td>< td>-999.0</td><td>1.7</td></tr> <tr><td>Delhi</td><td>2020-01-01 02:00:00</td><td>435</td><td>253.0</td><td>-999.0</td><td>-999.0</td><td>1.7</td></tr> <tr><td>Delhi</td><td>2020-01-01 03:00:00</td><td>423</td><td>249.0</td><td>-999.0</td><td>-999.0</td><td>1.7</td></tr> ... <tr><td>Delhi</td><td>2020-01-31 21:00:00</td><td>204</td><td>-999.0</td><td>-999.0</td><td>-999.0</td ><td>1.7</td></tr> <tr><td>Delhi</td><td>2020-01-31 22:00:00</td><td>199</td><td>-999.0</td><td>-999.0</td><td>-999.0</td><td>1.7</td></tr> <tr><td>Delhi</td><td>2020-01-31 23:00:00</td><td>198</td><td>-999.0</td><td>-999.0</td><td>-999.0</td><td>1.7</td></tr> </table>
If I save this code as an HTML file and open it in a browser, I will see something like this:
As you can see, the table has seven columns: City, Datetime, AQI, PM2.5, PM10, NO2, and CO. The rows contain the data for each hour in January 2020. The data is aligned to the left by default.
How to style and analyze your table data
Now that you have imported the CSV data into an HTML table, you might want to make it more readable and attractive. You can use CSS to style your table, such as changing the font, color, border, alignment, etc. You can also use basic formulas and functions in Excel or Google Sheets to perform some simple data analysis on your table data, such as calculating the average, minimum, maximum, etc.
Here are some examples of how to style and analyze your table data:
To change the font of the table, you can use the font-family property in CSS. For example, to use Arial as the font, you can add this code inside the <head> element of your HTML file:
<style> table font-family: Arial; </style>
To change the color of the table header cells, you can use the background-color property in CSS. For example, to use light blue as the background color, you can add this code inside the <style> element of your HTML file:
<style> th background-color: lightblue; </style>
To change the alignment of the table data cells, you can use the text-align property in CSS. For example, to align the data to the center, you can add this code inside the <style> element of your HTML file:
<style> td text-align: center; </style>
To calculate the average AQI for Delhi in January 2020, you can use the AVERAGE function in Excel or Google Sheets. For example, to get the average AQI for column C (AQI), you can enter this formula in any cell:
=AVERAGE(C2:C744)
To calculate the minimum and maximum AQI for Delhi in January 2020, you can use the MIN and MAX functions in Excel or Google Sheets. For example, to get the minimum and maximum AQI for column C (AQI), you can enter these formulas in any cells:
=MIN(C2:C744) =MAX(C2:C744)
After applying these changes, your table might look something like this:
You can see that the table looks more appealing and informative with some styling and analysis.
Conclusion
In In this article, you learned how to create tables in HTML and download CSV files. You also learned how to import a CSV file into an HTML table, and how to style and analyze your table data. You can use these skills to create and display data on your web pages, and to perform some basic data science tasks. HTML tables and CSV files are very powerful and versatile tools for working with data on the web. I hope you enjoyed this article and found it useful. If you want to learn more about HTML tables and CSV files, here are some resources that you can check out: -
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FAQs
Here are some frequently asked questions about HTML tables and CSV files, with answers and links:
What is the difference between HTML tables and Excel tables?
HTML tables are used to display data on web pages, while Excel tables are used to store and manipulate data in spreadsheets. HTML tables are created using HTML code, while Excel tables are created using Excel software. HTML tables can be styled using CSS, while Excel tables can be formatted using Excel tools. HTML tables can be imported from or exported to CSV files, while Excel tables can be imported from or exported to various file formats.
How can I sort or filter my table data?
You can sort or filter your table data using Excel or Google Sheets functions. For example, you can use the SORT function to sort your data by a specific column, or the FILTER function to filter your data by a specific condition. You can also use the built-in tools in Excel or Google Sheets to sort or filter your data interactively.
How can I add charts or graphs to my table data?
You can add charts or graphs to your table data using Excel or Google Sheets features. For example, you can use the CHART function to create a chart from your data, or the SPARKLINE function to create a mini chart in a cell. You can also use the built-in tools in Excel or Google Sheets to create and customize various types of charts or graphs.
How can I validate or clean my table data?
You can validate or clean your table data using Excel or Google Sheets functions. For example, you can use the ISNUMBER, ISTEXT, ISBLANK, etc. functions to check the type of your data, or the TRIM, CLEAN, SUBSTITUTE, etc. functions to remove unwanted characters or spaces from your data. You can also use the built-in tools in Excel or Google Sheets to validate or clean your data automatically.
How can I share or publish my table data?
You can share or publish your table data using various methods. For example, you can save your table as an HTML file and upload it to a web server, or embed it into another web page using an <iframe> element. You can also save your table as a CSV file and share it with others who can open it in various programs. You can also use online platforms such as Kaggle, GitHub, Google Drive, etc. to share or publish your table data.
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