This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

• Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

• Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

• Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

• Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

  Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

Introduction

Website Statistics: The internet landscape is constantly evolving, and understanding the dynamics of website development and browser usage is crucial for businesses and individuals alike. In 2024, the web design and development industry has grown significantly, driven by increased demand for innovative and responsive web solutions. Major browsers like Google Chrome, Safari, and Microsoft Edge dominate the market, each offering unique features that cater to diverse user needs.

This article delves into the latest statistics, market shares, and technological trends in the web development and browser domains, providing valuable insights to help you navigate the digital world effectively.

A complete list of live websites using the WordPress Stats technology, compiled through global website indexing conducted by WebTechSurvey.

59,000+ WordPress plugins are in the official directory, with new ones being added daily.

Website analytics for www.cambridgeshire.net between 2009 and 2013

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Traffic statistics for the For government franchise on the Queensland Government website. Source: Google Analytics.

These are the statistics listed in the "Stats at a Glance" section of the City of Austin demographics website: https://demographics-austin.hub.arcgis.com/

A complete list of live websites using the WP Statistics technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Burst Statistics technology, compiled through global website indexing conducted by WebTechSurvey.

Microformat, Microdata and RDFa data from the October 2016 Common Crawl web corpus. We found structured data within 1.24 billion HTML pages out of the 3.2 billion pages contained in the crawl (38%). These pages originate from 5.63 million different pay-level-domains out of the 34 million pay-level-domains covered by the crawl (16.5%). Altogether, the extracted data sets consist of 44.2 billion RDF quads.

Monthly statistics from the Library on Web visits, computer usage, e-media, etc.

This dataset contains statistics related to the Unleashed website (http://uladl.com). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

A complete list of live websites using the Feedjit Live Blog Stats technology, compiled through global website indexing conducted by WebTechSurvey.

An analysis showed that as of April 2024 only ** percent of small business home pages in the United States provided the users with contact information for the company they represented. Most commonly featured elements were photographs and call-to-action buttons, included on ** percent and ** percent of SME home pages, respectively.

campaign-statistics.com is ranked #94773 in US with 298.13K Traffic. Categories: . Learn more about website traffic, market share, and more!

Monthly statistics for pages viewed by visitors to the Queensland Government website—Recreation, sport and arts franchise. Source: Google Analytics

2025-01-23 — Updated through the 2024-25 season.

• Dataset includes every game that involves an FBS (Division I-A) NCAA football team.
• I standardized team names so they're consistent. For example, Florida International and Florida Intl are both present on ESPN. In this dataset they're always FIU.
• Full game stats are available beginning with the 2004 season.
• Any errors or quirks in ESPN's data will be present here. For example, possession time is often incorrect, especially in earlier seasons.

Column Labels:

• season – Year the season began. For example, 2002-03 is coded as 2002.
• week – Week number during the regular season. Empty during postseason.
• date – Date the game was played (local timezone).
• time_et – Game start time (Eastern Time).
• game_type – Regular season or postseason.
• away – Away team.
• home – Home team.
• rank_away – Away team's rank.
• rank_home – Home team's rank.
• conf_away – Away team's conference.
• conf_home – Home team's conference.
• neutral – Neutral site (True or False).
• score_away – Away team's final score.
• score_home – Home team's final score.
• q1_away – Away team's first quarter score.
• q2_away – Away team's second quarter score.
• q3_away – Away team's third quarter score.
• q4_away – Away team's fourth quarter score.
• ot_away – Away team's overtime score. 0 if there was no overtime.
• q1_home – Home team's first quarter score.
• q2_home – Home team's second quarter score.
• q3_home – Home team's third quarter score.
• q4_home – Home team's fourth quarter score.
• ot_home – Home team's overtime score. 0 if there was no overtime.
• first_downs_away – Away team's number of first downs.
• first_downs_home – Home team's number of first downs.
• third_down_comp_away – Away team's third down completions.
• third_down_att_away – Away team's third down attempts.
• third_down_comp_home – Home team's third down completions.
• third_down_att_home – Home team's third down attempts.
• fourth_down_comp_away – Away team's fourth down completions.
• fourth_down_att_away – Away team's fourth down attempts.
• fourth_down_comp_home – Home team's fourth down completions.
• fourth_down_att_home – Home team's fourth down attempts.
• pass_comp_away – Away team's passing completions.
• pass_att_away – Away team's passing attempts.
• pass_yards_away – Away team's passing yards.
• pass_comp_home – Home team's passing completions.
• pass_att_home – Home team's passing attempts.
• pass_yards_home – Home team's passing yards.
• rush_att_away – Away team's rushing attempts.
• rush_yards_away – Away team's rushing yards.
• rush_att_home – Home team's rushing attempts.
• rush_yards_home – Home team's rushing yards.
• total_yards_away – Away team's total yards.
• total_yards_home – Home team's total yards.
• fum_away – Away team's fumbles lost.
• fum_home – Home team's fumbles lost.
• int_away – Away team's interceptions thrown.
• int_home – Home team's interceptions thrown.
• pen_num_away – Away team's number of penalties.
• pen_yards_away – Away team's penalty yards.
• pen_num_home – Home team's number of penalties.
• pen_yards_home – Home team's penalty yards.
• possession_away – Away team's possession time (minutes).
• possession_home – Home team's possession time (minutes).
• attendance – Stadium attendance.
• tv – TV network coverage.

Context

The data has been extracted from UN website (link) and contains information about population & age stats, mortality rates etc. of various countries.

Content

The datasets with prefix - WPP2019* are datasets as downloaded from the above link. Whereas the rest of the datasets with *_manual suffix have been cleaned manually for the purpose of using in the Covid19-global competition to differentiate between countries.

Countries that are not available here include but are relevant to the competition include: Andorra, Cruise Ship, Greenland, Guernsey, Holy See, Jersey, Kosovo, Liechtenstein, Monaco, San Marino

Acknowledgements

All thanks to UN for maintaining these stats in an easily accessible website.

The dataset collection in question is a compilation of related data tables sourced from the website of Tilastokeskus (Statistics Finland) in Finland. The data present in the collection is organized in a tabular format comprising of rows and columns, each holding related data. The collection includes several tables, each of which represents different years, providing a temporal view of the data. The description provided by the data source, Tilastokeskuksen palvelurajapinta (Statistics Finland's service interface), suggests that the data is likely to be statistical in nature and could be related to regional statistics, given the nature of the source. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).