This is a E-commerce website logs data created for helping the data analysts to practice exploratory data analysis and data visualization. The dataset has data on when the website was accessed, IP address of the source, Country, language in which website was accessed, amount of sales made by that IP address.

Included columns:

Time and duration of of accessing the website
Country, Language & Platform in which it was accessed
No. of bytes used & IP address of the person accessing website
Sales or return amount of that person

Dataset

This dataset was created by Amine Elyazidi

Released under CC0: Public Domain

Contents

Jamaica number dataset makes your telemarketing more beneficial. Thus, this Jamaica number dataset has correct and up-to-date mobile numbers for direct marketing. As of 2024, there are about 3.27 Million mobile phone connections in Jamaica. This number is a bit higher than the total population, which is around 2.83 Million. Our List To Data website can assist in getting speedy replies from new clients for publicity. Besides, the Jamaica number dataset is effective for SMS marketing as well. As well as you have multiple chances to earn huge from other countries. So, using this contact number library is a perfect choice for reaching people in specific places. By using our library, you can enhance your marketing and find new B2C clients easily. Jamaica phone data is a great way to help your business grow. Also, this Jamaica phone data provides the most real and active phone numbers so you can easily reach people in Jamaica. Everybody can select who they want to contact based on their location, what their company does, or how big their company is. Further, the Jamaica phone data is very authentic and useful for finding new customers. At the same time, the sellers can deliver sales promotions and many offers to the consumers. Also, they can connect with the largest group of customers quickly in a selected area. List To Data includes contact leads for both businesses and individuals. Jamaica phone number list will make your business more profitable. Most importantly, a Jamaica phone number list plays a vital role in marketing and business, so take it now. Just visit our List To Data website today to get the most recent phone numbers for any business. With 95% precision, this contact book offers you contact numbers for many people who might want your services. So, the Jamaica phone number list is a great tool for reaching new customers through phone calls. In fact, you can pick from other packages on our website that fit your needs and budget. If your business is big or small, our mobile number data will help you in your entire journey. Ultimately, our team supplies this correct contact number cautiously as per your needs.

Introduction

The GiGL Spaces to Visit dataset provides locations and boundaries for open space sites in Greater London that are available to the public as destinations for leisure, activities and community engagement. It includes green corridors that provide opportunities for walking and cycling.

The dataset has been created by Greenspace Information for Greater London CIC (GiGL). As London’s Environmental Records Centre, GiGL mobilises, curates and shares data that underpin our knowledge of London’s natural environment. We provide impartial evidence to support informed discussion and decision making in policy and practice.

GiGL maps under licence from the Greater London Authority.

Description

This dataset is a sub-set of the GiGL Open Space dataset, the most comprehensive dataset available of open spaces in London. Sites are selected for inclusion in Spaces to Visit based on their public accessibility and likelihood that people would be interested in visiting.

The dataset is a mapped Geographic Information System (GIS) polygon dataset where one polygon (or multi-polygon) represents one space. As well as site boundaries, the dataset includes information about a site’s name, size and type (e.g. park, playing field etc.).

GiGL developed the Spaces to Visit dataset to support anyone who is interested in London’s open spaces - including community groups, web and app developers, policy makers and researchers - with an open licence data source. More detailed and extensive data are available under GiGL data use licences for GIGL partners, researchers and students. Information services are also available for ecological consultants, biological recorders and community volunteers – please see www.gigl.org.uk for more information.

Please note that access and opening times are subject to change (particularly at the current time) so if you are planning to visit a site check on the local authority or site website that it is open.

The dataset is updated on a quarterly basis. If you have questions about this dataset please contact GiGL’s GIS and Data Officer.

Data sources

The boundaries and information in this dataset, are a combination of data collected during the London Survey Method habitat and open space survey programme (1986 – 2008) and information provided to GiGL from other sources since. These sources include London borough surveys, land use datasets, volunteer surveys, feedback from the public, park friends’ groups, and updates made as part of GiGL’s on-going data validation and verification process.

Due to data availability, some areas are more up-to-date than others. We are continually working on updating and improving this dataset. If you have any additional information or corrections for sites included in the Spaces to Visit dataset please contact GiGL’s GIS and Data Officer.

NOTE: The dataset contains OS data © Crown copyright and database rights 2025. The site boundaries are based on Ordnance Survey mapping, and the data are published under Ordnance Survey's 'presumption to publish'. When using these data please acknowledge GiGL and Ordnance Survey as the source of the information using the following citation:

‘Dataset created by Greenspace Information for Greater London CIC (GiGL), 2025 – Contains Ordnance Survey and public sector information licensed under the Open Government Licence v3.0 ’

London Borough level tourism trip estimates (thousands). The ‘top-down’ nature of the Local Area Tourism Impact (LATI) model (starting with London data) means it is best suited to disaggregate expenditure. However, tourism trips were also disaggregated for comparative purposes using the estimated proportions of spending by overseas, domestic and day visitors in the boroughs. Since the trip estimates are derived from data on trips to London they do not account for trips to different boroughs by visitors whilst in London. Indicative borough level day visitor/tourist estimates for 2007 were derived from the LDA’s own experimental London level day visitor estimates. As such the borough level day visitor estimates should be treated with caution and the 2007 day visitor estimates are not comparable with those from previous years. They are intended only to give a best estimate of the scale of day visitor tourism in each borough from the currently available data. Further tourism data for UK regions covering trends in visits, nights, and spend to London by visitors from overseas is available on the Visit Britain website. Analyse data by age, purpose, duration, and quarter. This dataset is no longer updated.

This map shows the access to mental health providers in every county and state in the United States according to the 2024 County Health Rankings & Roadmaps data for counties, states, and the nation. It translates the numbers to explain how many additional mental health providers are needed in each county and state. According to the data, in the United States overall there are 319 people per mental health provider in the U.S. The maps clearly illustrate that access to mental health providers varies widely across the country.The data comes from this County Health Rankings 2024 layer. An updated layer is usually published each year, which allows comparisons from year to year. This map contains layers for 2024 and also for 2022 as a comparison.County Health Rankings & Roadmaps (CHR&R), a program of the University of Wisconsin Population Health Institute with support provided by the Robert Wood Johnson Foundation, draws attention to why there are differences in health within and across communities by measuring the health of nearly all counties in the nation. This map's layers contain 2024 CHR&R data for nation, state, and county levels. The CHR&R Annual Data Release is compiled using county-level measures from a variety of national and state data sources. CHR&R provides a snapshot of the health of nearly every county in the nation. A wide range of factors influence how long and how well we live, including: opportunities for education, income, safe housing and the right to shape policies and practices that impact our lives and futures. Health Outcomes tell us how long people live on average within a community, and how people experience physical and mental health in a community. Health Factors represent the things we can improve to support longer and healthier lives. They are indicators of the future health of our communities.Some example measures are:Life ExpectancyAccess to Exercise OpportunitiesUninsuredFlu VaccinationsChildren in PovertySchool Funding AdequacySevere Housing Cost BurdenBroadband AccessTo see a full list of variables, definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details of this layer. For full documentation, visit the Measures page on the CHR&R website. Notable changes in the 2024 CHR&R Annual Data Release:Measures of birth and death now provide more detailed race categories including a separate category for ‘Native Hawaiian or Other Pacific Islander’ and a ‘Two or more races’ category where possible. Find more information on the CHR&R website.Ranks are no longer calculated nor included in the dataset. CHR&R introduced a new graphic to the County Health Snapshots on their website that shows how a county fares relative to other counties in a state and nation. Data Processing:County Health Rankings data and metadata were prepared and formatted for Living Atlas use by the CHR&R team. 2021 U.S. boundaries are used in this dataset for a total of 3,143 counties. Analytic data files can be downloaded from the CHR&R website.

Face Recognition, Face Detection, Male Photo Dataset 👨

  If you are interested in biometric data - visit our website to learn more and buy the dataset :)

110,000+ photos of 74,000+ men from 141 countries. The dataset includes photos of people's faces. All people presented in the dataset are men. The dataset contains a variety of images capturing individuals from diverse backgrounds and age groups. Our dataset will diversify your data by adding more photos of men of… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/male-selfie-image-dataset.

Dataset from People's Association. For more information, visit https://data.gov.sg/datasets/d_c186a850bbbad2f4853ca97a6f7c5dcf/view

This dataset is having data of customers who buys clothes online. The store offers in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

​This collection consists of total number of signatures to 1769 petitions over time (hourly resolution) along with petition metadata (title, category, time of creation), directly crawled from the website. Please see 'Related resources' section below for related data collections. This project aims to develop methodologies to study online political behaviour including use of the Internet to generate new data and experiments; to collect and analyse data on internet-mediated interactions at both individual and organisational levels; and to use this data to re-examine and where necessary develop political science knowledge and theory in light of widespread use of the Internet First, the project will re-examine the logic of collective action, assessing the impact of reduced communication and coordination costs; the changing nature of leadership; and the effects of different information environments on propensity to participate in political mobilisation. This part of the research will involve conducting laboratory and field experiments into online behaviour. Second, the research will develop the Digital-era Governance model for newer 'Web 2.0' applications and other technological developments such as cloud computing. The research will re-examine the nature of citizen-government interactions in this changing environment, examining the impact of Internet-based mediation on information exchange, organisational forms in government and citizen participation in policy-making. This part of the research will involve a comparison of government's online presence in eight countries, using webmetric techniques, and in-depth qualitative analysis of governance models, using elite interviewing and documentary analysis. Using a webscraping approach, the US White House petition website was accessed daily with an automated script to record the overall signatures to date on each active petition.

Abstract copyright UK Data Service and data collection copyright owner.Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy. Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC). There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.Further information about Next Steps may be found on the CLS website.Secure Access datasets:Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).Secure Access versions of the Next Steps include:sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656. National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) - available under SN 8189 and geographic indicators for Sweep 8 (2011 Census Boundaries) - available under SN 8190. The Sweep 1 geography file was previously held under SN 7104.Linked Health Administrative Datasets (Hospital Episode Statistics) for years 1998-2017 held under SN 8681.Linked Student Loans Company Records for years 2007-2021 held under SN 8848.When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside. SN 8656 - Next Steps: Sweeps 1-9, 2004-2023: Secure Access includes sensitive variables from the main Next Steps survey from Sweep 1 (age 14) to Sweep 9 (age 32). A version of these variables were previously available under SN 7104. University identifiers for Sweeps 6 and 7 have also been reinstated and are available in the young person file. International Data Access Network (IDAN)These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.Latest edition informationFor the third edition (September 2024), sensitive variables for Sweep 9 (Age 32) have been added to the study. The main interview file includes unit group (4-digit) SOC2010, SOC20 and SIC2007 codes for current job, first job, job at age 25 and partner's job; university from which obtained undergraduate and post-graduate degrees; detailed long standing illness, national identity, gender and day date variables. In addition there is a separate pregnancy histories dataset which includes variables on type of fertility treatment received. Main Topics: The Safeguarded (EUL) version of Next Steps is provided alongside the Secure Access version. Additional variables which are available under Secure Access are from the following categories: date of interview (detailed)date of birth (detailed)detailed disabilitiesfull or detailed SOC/SIC codeschild care arrangementshigher Education identifierspotential school identifiers In this revised deposit, the variable denoting number of rooms in the house has been top-coded and there are truncated versions of SOC and SIC codes, longstanding illness and subject studied at university, The original version of the variables containing the detailed values is available under Secure Access. Multi-stage stratified random sample Face-to-face interview Telephone interview

Face Recognition, Face Detection, Female Photo Dataset 👩

  If you are interested in biometric data - visit our website to learn more and buy the dataset :)

90,000+ photos of 46,000+ women from 141 countries. The dataset includes photos of people's faces. All people presented in the dataset are women. The dataset contains a variety of images capturing individuals from diverse backgrounds and age groups. Our dataset will diversify your data by adding more photos of women of… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/female-selfie-image-dataset.

This dataset contains the ground truth data used to evaluate the musical pitch, tempo and key estimation algorithms developed during the AudioCommons H2020 EU project and which are part of the Audio Commons Audio Extractor tool. It also includes ground truth information for the single-eventness audio descriptor also developed for the same tool. This ground truth data has been used to generate the following documents: Deliverable D4.4: Evaluation report on the first prototype tool for the automatic semantic description of music samples Deliverable D4.10: Evaluation report on the second prototype tool for the automatic semantic description of music samples Deliverable D4.12: Release of tool for the automatic semantic description of music samples All these documents are available in the materials section of the AudioCommons website. All ground truth data in this repository is provided in the form of CSV files. Each CSV file corresponds to one of the individual datasets used in one or more evaluation tasks of the aforementioned deliverables. This repository does not include the audio files of each individual dataset, but includes references to the audio files. The following paragraphs describe the structure of the CSV files and give some notes about how to obtain the audio files in case these would be needed. Structure of the CSV files All CSV files in this repository (with the sole exception of SINGLE EVENT - Ground Truth.csv) feature the following 5 columns: Audio reference: reference to the corresponding audio file. This will either be a string withe the filename, or the Freesound ID (for one dataset based on Freesound content). See below for details about how to obtain those files. Audio reference type: will be one of Filename or Freesound ID, and specifies how the previous column should be interpreted. Key annotation: tonality information as a string with the form "RootNote minor/major". Audio files with no ground truth annotation for tonality are left blank. Ground truth annotations are parsed from the original data source as described in the text of deliverables D4.4 and D4.10. Tempo annotation: tempo information as an integer representing beats per minute. Audio files with no ground truth annotation for tempo are left blank. Ground truth annotations are parsed from the original data source as described in the text of deliverables D4.4 and D4.10. Note that integer values are used here because we only have tempo annotations for music loops which typically only feature integer tempo values. Pitch annotation: pitch information as an integer representing the MIDI note number corresponding to annotated pitch's frequency. Audio files with no ground truth pitch for tempo are left blank. Ground truth annotations are parsed from the original data source as described in the text of deliverables D4.4 and D4.10. The remaining CSV file, SINGLE EVENT - Ground Truth.csv, has only the following 2 columns: Freesound ID: sound ID used in Freesound to identify the audio clip. Single Event: boolean indicating whether the corresponding sound is considered to be a single event or not. Single event annotations were collected by the authors of the deliverables as described in deliverable D4.10. How to get the audio data In this section we provide some notes about how to obtain the audio files corresponding to the ground truth annotations provided here. Note that due to licensing restrictions we are not allowed to re-distribute the audio data corresponding to most of these ground truth annotations. Apple Loops (APPL): This dataset includes some of the music loops included in Apple's music software such as Logic or GarageBand. Access to these loops requires owning a license for the software. Detailed instructions about how to set up this dataset are provided here. Carlos Vaquero Instruments Dataset (CVAQ): This dataset includes single instrument recordings carried out by Carlos Vaquero as part of this master thesis. Sounds are available as Freesound packs and can be downloaded at this page: https://freesound.org/people/Carlos_Vaquero/packs Freesound Loops 4k (FSL4): This dataset set includes a selection of music loops taken from Freesound. Detailed instructions about how to set up this dataset are provided here. Giant Steps Key Dataset (GSKY): This dataset includes a selection of previews from Beatport annotated by key. Audio and original annotations available here. Good-sounds Dataset (GSND): This dataset contains monophonic recordings of instrument samples. Full description, original annotations and audio are available here. University of IOWA Musical Instrument Samples (IOWA): This dataset was created by the Electronic Music Studios of the University of IOWA and contains recordings of instrument samples. The dataset is available upon request by visiting this website. Mixcraft Loops (MIXL): This dataset includes some of the music loops included in Acoustica's Mixcraft music software. Access to these loops requires owning

The dataset collection 'Care Days in Institutional Care for People Aged 75 and Over per 1000 Persons of Same Age in Finland' includes data sourced from the 'Sotkanet' website in Finland. This dataset collection consists of one table providing information on the number of care days in institutional care for individuals aged 75 and over per 1000 persons of the same age in Finland. The data within this collection provides insights into the level of institutional care provided to elderly individuals in Finland. Please note that 'Sotkanet' is the English name of the website owner.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Statistics of how many adults access the internet and use different types of technology covering:

home internet access

how people connect to the web

how often people use the web/computers

whether people use mobile devices

whether people buy goods over the web

whether people carried out specified activities over the internet

For more information see the ONS website and the UKDS website.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Here are a few use cases for this project:

Use Case 1: Gender-Based Retail Analytics By analyzing customer demographics in retail stores, the "man vrouw dataset 1" can help retailers understand the gender distribution of their shoppers, empowering them to make informed decisions on store layout, marketing strategies, and product placements.

Use Case 2: Crowd Monitoring and Event Management This model can help enhance safety and optimize visitor experience at crowded events, such as concerts or festivals, by identifying the gender distribution of attendees, enabling promoters to customize services, restrooms allocation, and security measures accordingly.

Use Case 3: Digital Advertising and Marketing Using the "man vrouw dataset 1" model, businesses can better target their digital advertisements by understanding the key demographic visiting specific websites or engaging with specific content, allowing for tailored ad campaigns designed to target male or female audiences.

Use Case 4: Smart Surveillance and Security Systems The model can be used in surveillance and security systems to help identify and track people by their HU classes (man or vrouw) in premises like airports or corporate buildings, allowing security teams to analyze patterns and prevent potential threats.

Use Case 5: Social Media Image Analysis The "man vrouw dataset 1" model can be used to analyze the gender composition of social media images, providing insights into trends, preferences, and behaviors of different gender groups on social platforms. This information can then be used for targeted marketing or social research purposes.

The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

Cambodia number dataset makes your telemarketing more beneficial. Thus, this Cambodia number dataset has correct and up-to-date mobile numbers for direct marketing. As of 2024, there are about 20.17 Million mobile phone connections in Cambodia. This number is a bit higher than the total population, which is around 17.63 Million. Our List To Data can assist in getting speedy replies from new clients for publicity. Besides, the Cambodia number dataset is effective for SMS marketing as well. This means you have multiple chances to earn huge from other countries. So, using this contact number library is an ideal choice for reaching people in specific areas. By using this list, you can enhance your marketing and find new B2C clients easily. Cambodia phone data is a great way to help your business grow. Also, this Cambodia phone data provides the most real and active phone numbers so you can easily reach people in Cambodia. Everybody can decide who they want to contact based on their location, what their company does. Further, the Cambodia phone data is very authentic and useful for finding new customers. At the same time, the sellers can give sales promotions and many offers to the consumers. Also, they can connect with the largest group of customers quickly in a fixed area. List To Data includes contact information for both businesses and individuals. Cambodia phone number list will make your business more profitable. Most importantly a correct contact number plays a vital role in marketing and business, so take it now. Just visit our List To Data website today to get the most recent mobile numbers for your business. With 95% precision, this phone book offers you contact numbers for many people who might want your services. So, the Cambodia phone number list is a great tool for reaching new customers through phone calls. In fact, you can pick from different packages on our website that fit your needs and budget. If your business is big or small, our mobile database will help you in your entire journey. Ultimately, our team supplies this Cambodia phone number list cautiously as per your needs.