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.

Dataset Description

This dataset contains a single CSV file with lifetime statistics for NBA players. The data includes various box score stats and personal information for each player's career.

  Data Fields

The CSV file contains the following columns:

FULL_NAME: The player's full name AST: Total career assists BLK: Total career blocks DREB: Total career defensive rebounds FG3A: Total 3-point field goal attempts FG3M: Total 3-point field goals made FG3_PCT: 3-point field… See the full description on the dataset page: https://huggingface.co/datasets/Hatman/NBA-Player-Career-Stats.

Common Crawl Statistics

Number of pages, distribution of top-level domains, crawl overlaps, etc. - basic metrics about Common Crawl Monthly Crawl Archives, for more detailed information and graphs please visit our official statistics page. Here you can find the following statistics files:

  Charsets

The character set or encoding of HTML pages only is identified by Tika's AutoDetectReader. The table shows the percentage how character sets have been used to encode HTML pages… See the full description on the dataset page: https://huggingface.co/datasets/commoncrawl/statistics.

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.

We’ve rounded up the most up-to-date web design statistics to apply to your design.

As of January 2024, #love was the most used hashtag on Instagram, being included in over two billion posts on the social media platform. #Instagood and #instagram were used over one billion times as of early 2024.

Introduction

Landing Page Statistics: Landing pages are dedicated web pages designed to convert visitors into leads or customers by focusing on a single, clear call to action. In 2024, the median landing page conversion rate across industries is 6.6%, with top-performing pages exceeding 20%. Email-driven traffic achieves the highest average conversion rate at 19.3%, outperforming paid search (10.9%) and paid social (12%).

Mobile devices account for 82.9% of landing page traffic, yet desktop users exhibit a higher average conversion rate of 12.1% compared to 11.2% for mobile users. Speed is crucial; a one-second delay in page load time can reduce conversions by 7%. Incorporating videos can boost conversions by 86%, and personalized landing pages can convert 202% better than generic ones.

Design elements significantly impact performance. Landing pages with five or fewer form fields convert 120% better than those with more fields. Pages with a single, clear call to action achieve a 13.5% conversion rate, compared to 11.9% for pages with multiple CTAs. Additionally, 38.6% of marketers report that videos enhance landing page conversion rates more than any other element.

Let us check out some of the Landing page statistics concerning landing page performance and the secrets of landing page success.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Homes and housing franchise. Source: Google Analytics

** Note: This dataset has been archived and is no longer being updated due to a change in analytics platform. You can find the new dataset relating to Website Statistics in the following link; https://lincolnshire.ckan.io/dataset/website-statistics ** This Website Statistics dataset has three 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. Note: The resources above show only UK users, and exclude API calls (automated requests for datasets). For further information, please contact the Lincolnshire County Council Open Data team.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Environment, land and water franchise. Source: Google Analytics

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.

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).

StatFin is a free database that contains key statistics on Finland in Finnish, Swedish and English. The information offer will be expanded in all three languages.

The tables in the database have been arranged in accordance with the Statistics section of the Statistics Finland website by topic and statistics. These are also linked so that there is a link from the statistical page to the statistical database tables and from the tables a link to the pages of the statistics.

Like Statistics Finland’s databases, the StatFin statistical database has been implemented using PxWeb technology. It is easy to extract a suitable set of data from a larger table and scan it on the screen, or to take it into Excel for further processing, for example.

Information on the most visited pages of each website always limiting to all those that have more than 100 pages viewed per day. Daily update.

The ckanext-datavic-stats extension, a fork of CKAN's built-in statistics plugin, provides enhanced statistical analysis capabilities specifically tailored for data portals like data.gov.au. It modifies the core statistics functionality to provide more relevant and accurate insights. The extension focuses on presenting a refined view of data usage and engagement, optimizing the presentation of key metrics for informed decision-making. Key Features: Exclusion of Private Datasets: Removes private datasets from almost all statistical calculations (except for the top users section), ensuring that public statistics accurately reflect openly accessible data. This prevents skewing of results due to internal or non-public data. Summary Page Enhancement: Introduces or enhances a summary stats page, allowing administrators and users to quickly grasp key metrics related to dataset usage and engagement. This includes important data regarding the number of available public datasets. Activity Summary Page: Adds a dedicated activity summary page that aggregates public data activity metrics, providing a consolidated view of user interactions, dataset updates, and other relevant portal events. This enhances transparency and allows for better tracking of data portal usage. Organization-Level Public/Private Dataset Counts: Provides a dedicated page for organizations outlining the count of both public and private datasets they manage. This enhances organizational transparency and allows for easy auditing of data visibility settings. Use Cases: Data Portals: Enhances the statistical reporting capabilities of open data portals by focusing statistics on public datasets, providing portal administrators and users with more actionable insights into the use of openly accessible data and ensuring key statistics reflect the portals publicly available data offerings. Data Governance: Helps organisations monitor and maintain their data portfolios, with clear indicators of how much data is public. Technical Integration: This extension modifies the existing CKAN statistics plugin, seamlessly integrating with CKAN's user interface and backend. It likely overrides or extends the default statistical calculations and templates to implement its specific features without requiring substantial alterations to the core CKAN system. Benefits & Impact: By focusing statistics on public datasets, ckanext-datavic-stats provides portal administrators a clearer picture of which data is used and how. Added summary pages and organization data counts provide better ways for end users to understand their catalog's data, helping increase its value and utility. The exclusion of private datasets makes metrics more relevant for external users interested in open data usage trends and more targeted insights that can inform promotion and improvement strategies.

This dataset contains statistics (key metrics) related to the Unleashed Facebook page (https://www.facebook.com/UnleashedADL/). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. This data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

As of November 2024, the average Facebook page fan engagement with posts on a page was **** percent. Image posts drew the highest level of engagement from page fans, having an interaction rate of **** percent. Furthermore, link posts saw the lowest engagement rate with **** percent.

Monthly statistics for pages viewed by visitors to the Queensland Government website—About Queensland and its government franchise. Source: Google Analytics

This statistic presents the most popular applications and page types of internet users in Poland as of April 2019, broken down by age group. Differences in the use of chatting apps were clear between generations of Polish Internet users. To a greater extent this was the domain of younger people. Usage of instant messaging services in the 20-29 group reached 76 percent, and then gradually decreased to 74 percent in the group of 40-49 and 71 percent in the 60-69 group.

Gibraltar Internet Usage: Search Engine Market Share: Tablet: Start Page data was reported at 0.000 % in 15 Feb 2024. This stayed constant from the previous number of 0.000 % for 14 Feb 2024. Gibraltar Internet Usage: Search Engine Market Share: Tablet: Start Page data is updated daily, averaging 0.000 % from Jul 2023 (Median) to 15 Feb 2024, with 200 observations. The data reached an all-time high of 14.290 % in 08 Nov 2023 and a record low of 0.000 % in 15 Feb 2024. Gibraltar Internet Usage: Search Engine Market Share: Tablet: Start Page data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Gibraltar – Table GI.SC.IU: Internet Usage: Search Engine Market Share.