Traffic analytics, rankings, and competitive metrics for ranker.com as of September 2025

x-video-rank.com is ranked #12607 in JP with 202.88K Traffic. Categories: . Learn more about website traffic, market share, and more!

This statistic shows the ten most popular web shops in Sweden in 2017, by Alexa global traffic rank. In first place was zalando.se, ranked ***** by Alexa, followed by adlibris.com, which was ranked ******. Komplett.se came in third place at ******.

Context

This dataset includes some of the basic information of the websites we daily use. While scrapping this info, I learned quite a lot in R programming, system speed, memory usage etc. and developed my niche in Web Scrapping. It took about 4-5 hrs for scrapping this data through my system (4GB RAM) and nearly about 4-5 days working out my idea through this project.

Content

The dataset contains Top 50 ranked sites from each 191 countries along with their traffic (global) rank. Here, country_rank represent the traffic rank of that site within the country, and traffic_rank represent the global traffic rank of that site.

Since most of the columns meaning can be derived from their name itself, its pretty much straight forward to understand this dataset. However, there are some instances of confusion which I would like to explain in here:

1) most of the numeric values are in character format, hence, contain spaces which you might need to clean on.

2) There are multiple instances of same website. for.e.g. Yahoo. com is present in 179 rows within this dataset. This is due to their different country rank in each country.

3)The information provided in this dataset is for the top 50 websites in 191 countries as on 25th May 2017 and is subjected to change in future time due to the dynamic structure of ranking.

4) The dataset inactual contains 9540 rows instead of 9550(50*191 rows). This was due to the unavailability of information for 10 websites.

PS: in case if there are anymore queries, comment on this, I'll add an answer to that in above list.

Acknowledgements

I wouldn't have done this without the help of others. I've scrapped this information from publicly available (open to all) websites namely: 1) http://data.danetsoft.com/ 2) http://www.alexa.com/topsites , of which i'm highly grateful. I truly appreciate and thanks the owner of these sites for providing us with the information that I included today in this dataset.

Inspiration

I feel that there this a lot of scope for exploring & visualization this dataset to find out the trends in the attributes of these websites across countries. Also, one could try predicting the traffic(global) rank being a dependent factor on the other attributes of the website. In any case, this dataset will help you find out the popular sites in your area.

Discover the booming keyword rank tracking software market! Our in-depth analysis reveals a $1.5B market in 2025, projected to grow at 15% CAGR through 2033. Learn about key drivers, trends, and leading players like SEMrush and Ahrefs. Get insights to optimize your SEO strategy.

In August 2025, Google.com was the most visited website worldwide, with an average of 98.2 billion monthly visits. The platform has maintained its leading position since June 2010, when it surpassed Yahoo to take first place. YouTube ranked second during the same period, recording over 48 billion monthly visits. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

Context

Alexa Internet rank websites primarily on tracking a sample set of Internet traffic—users of its toolbar for the Internet Explorer, Firefox and Google Chrome web browsers. The Alexa Toolbar includes a popup blocker (which stops unwanted ads), a search box, links to Amazon.com and the Alexa homepage, and the Alexa ranking of the website that the user is visiting. It also allows the user to rate the website and view links to external, relevant websites. Also, Alexa has prepared a list of information for each site for comparison and ranking with other similar sites for each site.

This dataset is a record of all information on the top websites in each category in Alexa ranking. Source: https://github.com/AshkanGoharfar/Crawler_for_alexa.com

Content

This dataset includes several site data, which were achieved from "alexa.com/siteinfo" (for example alexa.com/siteinfo/facebook.com). Data is included for the top 50 websites for every 550 categories in Alexa ranking. (The dataset was obtained for about 22000 sites.) The data also includes keyword opportunities breakdown fields, which vary between categories. As well as each site has important parameters like all_topics_top_keywords_search_traffic_parameter which represent search traffics in competitor websites to this site. For more details about each site's data, you can find the site's name and site's information in the dataset and you can search alexa.com/siteinfo/SiteName link to understand each parameter and columns in the dataset.

Acknowledgements

This dataset was collected using the selenium library and chrome web driver to crawl alexa.com data with python language.

Provider: Ashkan Goharfar, ashkan_goharfar@aut.ac.ir, Department of Computer Engineering and Information Technology, Amirkabir University of Technology

Citation Request

A. Risheh, A. Goharfar, and N. T. Javan, "Clustering Alexa Internet Data using Auto Encoder Network and Affinity Propagation," 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, 2020, pp. 437-443, doi: 10.1109/ICCKE50421.2020.9303705.

Inspiration

Possible uses for this dataset could include:

Sentiment analysis in a variety of forms. Categorizing websites based on their competitor websites, daily time on the website and Keyword opportunities.

Analyzing what factors affect on Comparison metrics search traffic, Comparison metrics data, Audience overlap sites overlap scores, top keywords share of voice, top keywords search traffic, optimization opportunities organic share of voice, Optimization opportunities search popularity, Buyer keywords organic competition, Buyer keywords Avg traffic, Easy to rank keywords search pop, Easy to rank keywords relevance to site, Keyword gaps search popularity, Keyword gaps Avg traffic and Keywords search traffic.

Training ML algorithms like RNNs to generate a probability for each site in each category to being SEO by Google.

Use NLP for columns like keyword gaps name, Easy to rank keywords name, Buyer keywords name, optimization opportunities name, Top keywords name and Audience overlap similar sites to this site.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

Research data on traffic exchange limitations including low-quality traffic characteristics, search engine penalty risks, and comparison with effective alternatives like SEO and content marketing strategies.

When you’re at work or at home, there’s a high chance that you’re going to use Google. You may be using Google to find a plumber for your leaky bathroom sink or see where the best sushi is in town. When you’re on Google, you’re looking for the top results which means you’re not scrolling past page one, unless, you’re desperate. So, getting your company on the first page of Google is extremely important and impactful for success. But, how do you get your business there? Well, here’s how.

Know the Basics

Before you do anything, you need to know the basics of how online marketing and Google search functions. By knowing the basics, you won’t waste time performing outdated tasks or being overcharged by an SEO Agency http://www.whitehatagency.com.au/seo-agency or marketing companies that recognize your lack of knowledge. Education is the key to success.

Use SEO

Search Engine Optimization is the method of attracting online attention and visibility through organic means. In essence, the unpaid search results - the paid search results typically have “sponsored” or “paid advertisement” written below them. But you can naturally drive traffic towards your site just by using the right keywords. Certain keywords will push your content, allowing it to be shown in the top results.

Meet the Google Standards

Google has standards which your website must fulfil prior to appearing as a #1 website in the search results. Google will flag any errors they deem needed fixed and you’re going to want to fix them, for example, broken links. If you don’t meet the standards, they’ll penalize all your pages until you fix them. So, take some time out of your day and make sure your website is fully functioning.

Content is everything

You may invest some top dollars in the look and appeal of your site but at the end of the day, it doesn’t really matter what your site looks like. What truly matters is the content as that will drive viewers to your site. The Google search results are designed to provide users with the most relevant material on the web. If your content isn’t providing value to the viewers, your material won’t make it to #1.

Focus on links

Links play an important role when it comes to Google’s ranking system. The way Google works is that it pays attention to the hyperlinks in content to figure out what keywords are tied to the link being used. Though this doesn’t mean your entire article should be made of links, if you use too many they’ll deem it as suspicious activity and your website can be taken from Google.

Google loves mobile-friendly

If you want to come up with a #1 site then you need to show Google that you’re updated and relevant to the current technology. In other words, you need to make your site mobile-friendly. Many users read material while on their way to work, on the bus or on their couch. So, if you’re not catering to smartphones, well, Google isn’t going to favor you.

Lebrau, C. (2020). 6 Ways to Get on the First Page of Google, HydroShare, http://www.hydroshare.org/resource/5b487a7dc6104628b10c2b6921b595e1

In August 2025, Google.com was the most visited website worldwide, attracting approximately 5.66 billion unique monthly visitors. YouTube.com ranked second, with an estimated 2.98 billion unique visitors. Both platforms also held the top positions globally in terms of total website visits.

AS Rank is CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.
ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers.
Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric..

This dataset provides a comprehensive set of features for analyzing and detecting phishing URLs. Each feature is carefully crafted to highlight attributes that distinguish legitimate URLs from potentially malicious ones.

Features and Their Descriptions

Domain

• Type: Categorical (String)

• Description: Represents the domain name of the website being analyzed.

  Have_IP

• Type: Binary (0/1)

• Description: Indicates if the URL uses an IP address instead of a domain name.

• 0: No IP address (likely legitimate).

• 1: Uses an IP address (potentially suspicious).

Have_At

• Type: Binary (0/1)
• Description: Checks for the presence of the "@" symbol in the URL.
• 0: No "@" symbol (likely legitimate).

• 1: "@" symbol present (potentially suspicious).

  URL_Length

• Type: Numerical (Integer)

• Description: Indicates the length of the URL.

• Suggested Update: Classify as 0 for short and 1 for long URLs.

  Redirection

• Type: Binary (0/1)

• Description: Detects if the URL involves redirections.

• 0: No redirections.

• 1: Redirections present (potentially suspicious).

  https_Domain

• Type: Binary (0/1)

• Description: Checks if the domain part of the URL starts with "https."

• 0: Domain does not use "https" (less secure).

• 1: Domain uses "https" (more secure).

  TinyURL

• Type: Binary (0/1)

• Description: Indicates if the URL uses a shortening service like TinyURL.

• 0: Not shortened.

• 1: Shortened (potentially suspicious).

  Prefix/Suffix

• Type: Binary (0/1)

• Description: Checks for special characters (e.g., "-") in the domain name.

• 0: No special characters.

• 1: Special characters detected (potentially suspicious).

  DNS_Record

• Type: Binary (0/1)

• Description: Indicates if the domain has a valid DNS record.

• 0: No valid DNS record (potentially suspicious).

• 1: Valid DNS record exists (likely legitimate).

  Web_Traffic

• Type: Binary (0/1)

• Description: Evaluates web traffic rank of the domain.

• 0: Low or no traffic (potentially suspicious).

• 1: Significant traffic (likely legitimate).

  Domain_Age

• Type: Binary (0/1)

• Description: Indicates whether the domain is relatively new.

• 0: Age < 6 months (potentially suspicious).

• 1: Age > 6 months (likely legitimate).

  Domain_End

• Type: Binary (0/1)

• Description: Checks proximity of domain's expiration date.

• 0: Near expiration (potentially suspicious).

• 1: Far from expiration (likely legitimate).

  iFrame

Type: Binary (0/1) * Description: Detects iFrames in the webpage content. * 0: No iFrames detected (likely legitimate). * 1: iFrames detected (potentially suspicious).

Mouse_Over

• Type: Binary (0/1)
• Description: Checks for mouse-over tricks on the webpage.
• 0: No tricks detected (likely legitimate).

• 1: Tricks detected (potentially suspicious).

  Right_Click

• Type: Binary (0/1)

• Description: Indicates if right-click functionality is disabled.

• 0: Right-click enabled (likely legitimate).

• 1: Right-click disabled (potentially suspicious).

  Web_Forwards

• Type: Binary (0/1)

• Description: Checks for multiple web forwards in the URL.

• 0: No web forwards.

• 1: Web forwards detected (potentially suspicious).

  Label

• Type: Binary (0/1)

• Description: Target variable indicating URL classification.

• 0: Legitimate website.

• 1: Phishing or malicious website.

Additional Feature: URL_Depth

Definition: Number of forward slashes (/) in the URL path after the domain name.

Observations:

• Frequent Depths: Depths of 2, 3, and 1 are most common.
• Rare Depths: Very deep URLs (e.g., depth of 18, 17, 20) are rare and may indicate autogenerated or suspicious URLs.

What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Techtimes, Vanguardngr, Nytimes, Forbes etc. You can also buy Techtimes guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Techtimes from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

Dataset Phishing Website

The dataset consists of various features related to URLs, aimed at identifying phishing websites. Here's a brief explanation of each column:

1. index: Sequential number or unique identification for each entry in the dataset.
2. having_IP_Address: Indicates whether the URL has an IP address in numeric format.
3. URL_Length: Measures the length of the URL in characters. It could be a predictor to determine if the URL is suspicious or not.
4. Shortining_Service: Indicates whether a URL shortening service is used for the URL.
5. having_At_Symbol: Indicates whether the URL has the "@" symbol (as in an email address).
6. double_slash_redirecting: Indicates whether the URL has double slash redirection.
7. Prefix_Suffix: Indicates whether the URL has suspicious prefixes or suffixes.
8. having_Sub_Domain: Indicates whether the URL has subdomains.
9. SSLfinal_State: Indicates the SSL (Secure Sockets Layer) state of the URL. It could be an indicator of security. Certain values indicate certain levels of security.
10. Domain_registeration_length: Indicates the length of time the domain has been registered. Certain values could be indicators of authenticity or security.
11. Favicon: Indicates the presence of a favicon on the URL. Favicon could be an indicator of authenticity or trust.
12. port: Indicates the port number used in the URL. It could be an indicator of authenticity or security.
13. HTTPS_token: Indicates the presence of an HTTPS token in the URL.
14. Request_URL: Indicates whether the URL makes requests.
15. URL_of_Anchor: Indicates whether the URL is an anchor URL.
16. Links_in_tags: Indicates the number of links in HTML tags. It could be an indicator of relevance or security.
17. SFH: Indicates whether the URL has a Server Form Handler (SFH). Certain values could be indicators of security.
18. Submitting_to_email: Indicates whether the URL submits data to an email address.
19. Abnormal_URL: Indicates whether the URL is abnormal.
20. Redirect: Indicates whether the URL redirects users to another URL.
21. on_mouseover: Indicates whether the URL includes the onmouseover event.
22. RightClick: Indicates whether the URL blocks right-clicks.
23. popUpWidnow: Indicates whether the URL uses pop-up windows.
24. Iframe: Indicates whether the URL uses iframes.
25. age_of_domain: Indicates the domain age in years. Domain age could be an indicator of authenticity or trust.
26. DNSRecord: Indicates whether the URL has DNS records. Certain values could be indicators of security.
27. web_traffic: Indicates the web traffic associated with the URL. It could be an indicator of popularity or relevance.
28. Page_Rank: Indicates the page rank of the URL. Page rank could be an indicator of relevance or authority.
29. Google_Index: Indicates whether the URL is indexed by Google.
30. Links_pointing_to_page: Indicates the number of links pointing to the page. It could be an indicator of relevance or authority.
31. Statistical_report: Indicates whether the URL includes statistical reports.
32. Result: Indicates the result of evaluating the features in the URL.

*For further explanation, please refer to the provided Word file. *Excel and TXT files are also available if you need them. Source for explanation and a portion of the dataset : https://archive.ics.uci.edu/dataset/327/phishing+websites

Waze maps provide information about specific routes to assist motorists in avoiding traffic jams. Waze provides information about traffic jams and events that affect road conditions, either from drivers using Waze or from external sources. MTO has partnered with Waze through their Connected Citizen Program to publish Waze reported information on the Ontario 511 website. MTO iCorridor leverages such traffic jams to generate summaries of delay, duration, speed, and length by weekly, monthly, time of day, and day of week. The objective is to determine the pattern of congestion on all provincial highway corridors. The delay analysis was comprised of the followings:Estimation of corridor delay;Estimation of duration and length of congestion; andIdentification of true peak period."It must be noted that a “no congestion scenario” does not necessarily imply that there is no traffic on a specific road. Even when congestion is reduced to zero there may still be vehicles driving on the road. Waze creates “jam lines” that indicate continuous portions of streets where speed has slowed. Waze data provides the exact geographic location, length, speed, and time delay for these jam lines compared to the time it would normally take to transverse the jam line by car. A categorization for the severity of the jam is also provided.the jam data is composed of jam lines (which can change over time) measured at different time intervals. Given the crowd-sourced nature of the data, it cannot be determined if fluctuations in jam line activity are due to actual changes in traffic conditions or due to fluctuations in the number of active Wazers. Evidence from on-the-ground measures supports the notion that changes in jam activity are generally due to actual changes in traffic conditions"ElementValueDescriptionpubDateTimePublication date.linqmap:typeStringTRAFFIC_JAM.georss:lineList of longitude and latitude coordinatesTraffic jam line string (supplied when available).linqmap:speedFloatCurrent average speed on jammed segments in meter/second.linqmap:lengthIntegerJam length in meters.linqmap:delayIntegerDelay of jam compared to free flow speed, in seconds (in case of block, 1).linqmap:streetStringStreet name (as is written in database, no canonical form (supplied when available).linqmap:cityStringCity and state name [City, State] in case both are available, [State] if not associated with a city (supplied when available).linqmap:countryStringAvailable on EU (world) server (see two letters codes in https://en.wikipedia.org/wiki/ISO-31661).linqmap:roadTypeIntegerRoad type (see road types table in the appendix).linqmap:startNodeStringNearest Junction/street/city to jam start (supplied when available).linqmap:endNodeStringNearest Junction/street/city to jam end (supplied when available).linqmap:level0-5Traffic congestion level (0 = free flow 5 = blocked).linqmap:uuidStringUnique jam identifier.linqmap:turnLineCoordinatesA set of coordinates of a turn only when the jam is in a turn (supplied when available).linqmap:turnTypeStringWhat kind of turn it is: left, right, exit R or L, continue straight, or NONE (no info) (supplied when available).linqmap:blockingAlertUuidStringIf the jam is connected to a block (see alerts).ElementValueDescriptionpubDateTimePublication date.georss:pointCoordinatesLocation per report (Lat long).linqmap:uuidStringUnique system ID.linqmap:magvarInteger (0359)Event direction (Driver heading at report time. 0 degrees at North, according to the driver's device).linqmap:typeSee alert type tableEvent type.linqmap:subtypeSee alert subtypes tableEvent subtype depends on parameter.linqmap:reportDescriptionStringReport description (supplied when available).linqmap:streetStringStreet name (as is written in database, no canonical form, may be null).linqmap:cityStringCity and state name [City, State] in case both are available, [State] if not associated with a city (supplied when available).linqmap:countryStringSee two letters codes in .linqmap:roadTypeIntegerRoad type (see road types table in the appendix).linqmap:reportRatingIntegerUser rank between 16 (6 = high ranked user).linqmap:jamUuidStringIf the alert is connected to a jam jam ID.linqmap:Reliability (new)0-10How reliable is the report, 10 being most reliable. Based on reporter level and user respon-reference from (https://ops.fhwa.dot.gov/publications/fhwahop18084/ch2.htm)

About the Dataset

This dataset contains Quality of Life indices for various countries around the globe, extracted from the Numbeo website. The data provides valuable metrics for comparing countries based on several aspects of living standards, which can assist in decisions such as choosing a place to live or analyzing global trends in quality of life.

OBS: The code to generate this dataset is presented on: https://www.kaggle.com/code/marcelobatalhah/web-scrapping-quality-of-life-index

Columns in the Dataset

1. Rank:
   The global rank of the country based on its Quality of Life Index according to Year (1 = highest quality of life).

2. Country:
   The name of the country.

3. Quality of Life Index:
   A composite index that evaluates the overall quality of life in a country by combining other indices, such as Safety, Purchasing Power, and Health Care.

4. Purchasing Power Index:
   Measures the relative purchasing power of the average consumer in a country compared to New York City (baseline = 100).

5. Safety Index:
   Indicates the safety level of a country. A higher score suggests a safer environment.

6. Health Care Index:
   Evaluates the quality and accessibility of healthcare in the country.

7. Cost of Living Index:
   Measures the relative cost of living in a country compared to New York City (baseline = 100).

8. Property Price to Income Ratio:
   Compares the affordability of real estate by dividing the average property price by the average income.

9. Traffic Commute Time Index:
   Reflects the average time spent commuting due to traffic.

10. Pollution Index:
    Rates the level of pollution in the country (air, water, etc.).

11. Climate Index:
    Rates the favorability of the climate in the country (higher = more favorable).

12. Year:
    Year when the metrics were extracted.

Key Insights from the Dataset

• The Quality of Life Index aggregates multiple indicators, making it a useful single metric to compare countries.
• Specific indices such as Safety Index or Health Care Index allow for focused analysis on areas like security or healthcare quality.
• Cost of Living Index and Purchasing Power Index can help determine the affordability of living in each country.

How the Data Was Collected

• The dataset was built using web scraping techniques in Python.
• The data was extracted from the "Quality of Life Rankings by Country" page on Numbeo.
• Libraries used:
  • requests for retrieving webpage content.
  • BeautifulSoup for parsing the HTML and extracting relevant information.
  • pandas for organizing and storing the data in a structured format.

Possible Applications

1. Relocation Decision Making:
   Use the dataset to compare countries and identify destinations with high quality of life, safety, and healthcare.

2. Global Analysis:
   Perform exploratory data analysis (EDA) to identify trends and correlations across quality of life metrics.

3. Visualization:
   Plot global maps, bar charts, or other visualizations to better understand the data.

4. Predictive Modeling:
   Use this dataset as a base for machine learning tasks, like predicting Quality of Life Index based on other metrics.

In today's digital landscape, Search Engine Optimization (SEO) and marketing play a crucial role in enabling businesses to enhance their online visibility and attract targeted traffic. SEO encompasses a range of strategies aimed at optimizing website content, structure, and user experience to rank higher on search e

In November 2024, internet users from France visiting search platform Google.fr saw an average of 7.8 pages per visit. Leading the list, the micro-blogging platform X.com held the top rank, with users viewing an average of 9.33 pages each session. The adult video platform Pornhub.com came in second, with an average of 8.13 pages per visit, while the Meta-owned Instagram.com, which ranked fourth, averaged 6.82 pages per session.