Bytemine provides access to one of the largest and most accurate US phone number databases available, featuring over 80 million verified mobile numbers. Our data includes both B2C and B2B contacts, enriched with comprehensive personal and professional details that support a wide range of use cases — from sales and marketing outreach to lead enrichment, identity resolution, and platform integration.

Our US Phone Number Data includes:

80 million+ verified US mobile numbers B2C and B2B contacts with name, email, location, and more Work emails and personal emails 57 contact-level data points including job title, company name, seniority, industry, geography, and more

This dataset gives you unmatched access to individuals across the United States, allowing you to connect with professionals and consumers directly through mobile-first campaigns. Whether you're targeting executives, small business owners, or general consumers, Bytemine provides the precision and scale to reach the right audience.

All phone numbers in our database are:

Verified and regularly updated Matched with accurate metadata (name, email, job, etc.) Compliant with data usage policies Sourced through direct licensing from trusted partners including B2B platforms, employment systems, and verified consumer data sources

This data is ideal for:

Cold calling and phone-based outreach SMS marketing and mobile-based campaigns CRM and marketing automation enrichment Identity resolution and contact matching Prospect list building and segmentation B2B and B2C marketing and retargeting App-based user targeting and onboarding Customer data platforms that need verified mobile identifiers

With access to both business and consumer profiles, Bytemine’s US Phone Number Data allows companies to execute highly targeted and personalized campaigns. Each contact is enriched with up to 57 attributes, giving your team deep insight into who the contact is, where they work, and how best to reach them.

Data can be accessed in two flexible ways:

1. Via our web platform — search, filter, and download targeted lists
2. Via API — automate contact discovery, data enrichment, or validation at scale

Our API makes it easy to integrate contact data into your existing tools, workflows, or SaaS platform. Whether you're building a lead generation engine, contact enrichment feature, or an internal prospecting tool, Bytemine delivers the clean, structured data needed to power it.

Bytemine’s phone number dataset is trusted by sales teams, marketing agencies, growth hackers, product teams, and data-driven platforms that rely on accurate contact information to engage the right audience.

If you need verified, mobile-first contact data for B2B or B2C outreach, Bytemine delivers the scale, accuracy, and flexibility required to grow your pipeline, enrich your database, and reach your customers directly.

Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

Target SMBs & enterprise leaders, CEOs, owners & execs from startups to Fortune 500 companies. Download FREE sample business email list today!

This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific ta...

Unlock the potential of the global writing, editing, and publishing industry with Success.ai's Small Business Contact Data. Our extensive database provides access to verified profiles of professionals worldwide, curated from a dataset that encompasses over 700 million global entries. This specialized collection includes work emails, phone numbers, and comprehensive professional information, tailored to meet the needs of small businesses and independent professionals in the writing, editing, and publishing sectors.

Why Choose Success.ai’s Small Business Contact Data?

Targeted Professional Data: Gain access to a niche market of small business owners and freelancers in the writing, editing, and publishing industries. Global Reach: Our dataset covers professionals from all over the world, enabling you to execute international marketing campaigns and network expansion. Verified Contact Information: Ensure the reliability of your outreach with work emails and phone numbers that are regularly updated and verified for accuracy. Data Features:

Comprehensive Profiles: Detailed insights into the professional lives of industry experts, including their job roles, career history, and areas of expertise. Industry-Specific Details: Information tailored to the nuances of the writing, editing, and publishing fields, helping you to better understand and target potential leads. Segmentation Options: Easily segment data by geographic location, professional experience, or specific industry niches such as freelance writers, independent publishers, or small press editors. Customizable Delivery and Integration: Success.ai offers flexible data solutions that can be customized to fit your specific requirements. Whether you need a one-time download or continuous API access for real-time data integration, our formats are designed to seamlessly integrate into your existing business workflows.

Competitive Pricing with Best Price Guarantee: We commit to providing not only the highest quality data but also the most affordable pricing in the industry. Our Best Price Guarantee ensures you receive the best market rate for your data needs.

Ideal Use Cases for Small Business Contact Data:

Direct Marketing Campaigns: Utilize accurate contact details to send personalized email or direct mail campaigns to industry professionals. Networking and Partnership Development: Connect with key industry players to forge partnerships or collaborate on publishing projects. Event Promotion: Target industry-specific events like writing workshops, book fairs, or literary conferences with tailored invitations. Market Research: Analyze trends in the publishing industry, track the rise of independent writing professionals, or assess market needs. Quality Assurance and Compliance:

Data Quality: Our data undergoes rigorous validation processes to maintain high accuracy and usefulness. Legal Compliance: All data collection and processing are performed in strict accordance with global data protection regulations, including GDPR. Support and Professional Consultation:

Dedicated Support: Our team is ready to assist you with any queries or custom requests regarding the dataset. Expert Consultation: Leverage our expertise in data-driven marketing to enhance your outreach strategies and achieve better results. Start Reaching Writing and Publishing Professionals Today: With Success.ai’s Small Business Contact Data, you can start connecting with writing, editing, and publishing professionals globally. Enhance your marketing efforts, expand your professional network, and grow your presence in the industry with our reliable and comprehensive data solutions.

Contact us to explore our offerings and take your business to the next level with tailored data that meets your exact needs.

The Brampton Business Directory is an employer census of all brick and mortar businesses operating within the city and features over 9,700 records. The directory contains information such as company name, business description, address, website and North American Industry Classification Code, the year the business was established in Brampton and the year the business was established as a business. For more information please contact the Economic Development Office at invest@brampton.ca or 905-874-2650. www.investbrampton.ca

Snapshot img

The GPU database market share should rise by USD 361.56 million from 2021 to 2025 at a CAGR of 17.82%.

This GPU database market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by deployment (on-premise and cloud) and geography (North America, Europe, APAC, South America, and MEA). The GPU database market report also offers information on several market vendors, including BlazingSQL Inc., Brytlyt Ltd., Hetero DB Co. Ltd., Jedox GmbH, Kinetica DB Inc., Neo4j Inc., NVIDIA Corp., OmniSci Inc., SQream Technologies Ltd., and Zilliz among others.

What will the GPU Database Market Size be in 2021?

To Unlock the GPU Database Market Size for 2021 and Other Important Statistics, Download the Free Report Sample!

GPU Database Market: Key Drivers and Trends

The massive data generation across various industries supporting the adoption of GPU accelerated tools is notably driving the GPU database market growth, although factors such as unavailability of enough technical expertise and domain knowledge may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GPU database industry. The holistic analysis of the drivers will help in predicting end goals and refining marketing strategies to gain a competitive edge.

This GPU database market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Who are the Major GPU Database Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

BlazingSQL Inc.
Brytlyt Ltd.
Hetero DB Co. Ltd.
Jedox GmbH
Kinetica DB Inc.
Neo4j Inc.
NVIDIA Corp.
OmniSci Inc.
SQream Technologies Ltd.
Zilliz

The vendor landscape of the GPU database market entails successful business strategies deployed by the vendors. The GPU database market is fragmented and the vendors are deploying various organic and inorganic growth strategies to compete in the market.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the GPU database market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for GPU Database Market?

For more insights on the market share of various regions Request for a FREE sample now!

48% of the market’s growth will originate from North America during the forecast period. The US is the key market for GPU databases in North America.

The report offers an up-to-date analysis of the geographical composition of the market. North America has been recording a significant growth rate and is expected to offer several growth opportunities to market vendors during the forecast period. The growing demand for artificial intelligence (AI) will facilitate the GPU database market growth in North America over the forecast period. The report offers an up-to-date analysis of the geographical composition of the market, competitive intelligence, and regional opportunities in store for vendors.

What are the Revenue-generating Deployment Segments in the GPU Database Market?

To gain further insights on the market contribution of various segments Request for a FREE sample

The GPU database market share growth by the on-premise segment has been significant. This report provides insights on the impact of the unprecedented outbreak of COVID-19 on market segments. Through these insights, you can safely deduce transformation patterns in consumer behavior, which is crucial to gauge segment-wise revenue growth during 2021-2025 and embrace technologies to improve business efficiency.

This report provides an accurate prediction of the contribution of all the segments to the growth of the GPU database market size. Furthermore, our analysts have indicated actionable market insights on post COVID-19 impact on each segment, which is crucial to predict change in consumer demand.

    GPU Database Market Scope




    Report Coverage


    Details




    Page number


    120




    Base year


    2020




    Forecast period


    2021-2025




    Growth momentum & CAGR


    Accelerate at a CAGR of 17.82%




    Market growth 2021-2025


    $ 361.56 million

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This dataset contains detailed specifications and official launch prices of various mobile phone models from different companies. It provides insights into smartphone hardware, pricing trends, and brand competitiveness across multiple countries. The dataset includes key features such as RAM, camera specifications, battery capacity, processor details, and screen size.

One important aspect of this dataset is the pricing information. The recorded prices represent the official launch prices of the mobile phones at the time they were first introduced in the market. Prices vary based on the country and the launch period, meaning older models reflect their original launch prices, while newer models include their most recent launch prices. This makes the dataset valuable for studying price trends over time and comparing smartphone affordability across different regions.

Features:

• Company Name: The brand or manufacturer of the mobile phone.
• Model Name: The specific model of the smartphone.
• Mobile Weight: The weight of the mobile phone (in grams).
• RAM: The amount of Random Access Memory (RAM) in the device (in GB).
• Front Camera: The resolution of the front (selfie) camera (in MP).
• Back Camera: The resolution of the primary rear camera (in MP).
• Processor: The chipset or processor used in the device.
• Battery Capacity: The battery size of the smartphone (in mAh).
• Screen Size: The display size of the smartphone (in inches).
• Launched Price: (Pakistan, India, China, USA, Dubai): The official launch price of the mobile in the respective country at the time of its release. Prices vary based on the year the mobile was launched.
• Launched Year: The year the mobile phone was officially launched.

Full profile of 10,000 people in the US - download here, data schema here, with more than 40 data points including - Full Name - Education - Location - Work Experience History and many more!

There are additionally 258+ Million US people profiles available, visit the LinkDB product page here.

Our LinkDB database is an exhaustive database of publicly accessible LinkedIn people and companies profiles. It contains close to 500 Million people and companies profiles globally.

The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:

The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling

The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.

The TMDb (The Movie Database) is a comprehensive movie database that provides information about movies, including details like titles, ratings, release dates, revenue, genres, and much more.

This dataset contains a collection of 1,000,000 movies from the TMDB database.

Dataset is updated daily. If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

Interesting Task Ideas:

1. Predict movie ratings based on features such as revenue, popularity, genre, and runtime.
2. Identify trends in movie release dates and analyze their impact on revenue.
3. Analyze the relationship between budget, revenue, and popularity to determine factors that contribute to a movie's success.
4. Build a recommendation system that suggests similar movies based on genres, production companies, and language.
5. Perform sentiment analysis on movie reviews to understand audience reactions.
6. Explore the impact of movie genres on popularity and revenue.
7. Investigate the correlation between runtime and audience engagement.
8. Identify successful production companies and analyze their strategies.
9. Utilize natural language processing techniques to extract meaningful insights from movie overviews.
10. Visualize movie popularity over time and identify popular genres in different periods.

Checkout my other datasets

Clash of Clans Clans Dataset 2023 (3.5M Clans)

Black-White Wage Gap in the USA Dataset

130K Kindle Books

USA Unemployment Rates by Demographics & Race

150K TMDb TV Shows

Photo by Onur Binay on Unsplash

Fork this notebook to get started on accessing data in the BigQuery dataset by writing SQL queries using the BQhelper module.

Context

Google Patents Public Data, provided by IFI CLAIMS Patent Services, is a worldwide bibliographic and US full-text dataset of patent publications. Patent information accessibility is critical for examining new patents, informing public policy decisions, managing corporate investment in intellectual property, and promoting future scientific innovation. The growing number of available patent data sources means researchers often spend more time downloading, parsing, loading, syncing and managing local databases than conducting analysis. With these new datasets, researchers and companies can access the data they need from multiple sources in one place, thus spending more time on analysis than data preparation.

Content

The Google Patents Public Data dataset contains a collection of publicly accessible, connected database tables for empirical analysis of the international patent system.

Acknowledgements

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:patents

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

“Google Patents Public Data” by IFI CLAIMS Patent Services and Google is licensed under a Creative Commons Attribution 4.0 International License.

Banner photo by Helloquence on Unsplash

Snapshot img

The chiropractic software market share is expected to increase by USD 47.40 million from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 5.45%.

This chiropractic software market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers chiropractic software market segmentation by end-user (large practices, mid-size practices, and individual practitioners), deployment (cloud-based and on-premises), and geography (North America, Europe, APAC, South America, and MEA). The chiropractic software market report also offers information on several market vendors, including ACOM Health, AdvancedMD Inc., Allscripts Healthcare Solutions Inc., Atlas Chiropractic Software, ChiroFusion LLC, IntuiSoft Technologies LLC, Life Systems Software Inc., MacPractice, SimplePractice LLC, and Vagaro Inc. among others.

What will the Chiropractic Software Market Size be During the Forecast Period?

Download the Free Report Sample to Unlock the Chiropractic Software Market Size for the Forecast Period and Other Important Statistics

'The US, Canada, and Mexico are major contributors to the regional market. The chiropractic software market in the US is one of the most mature markets compared with other geographic locations.Large and mid-size chiropractic practices have implemented chiropractic software solutions mainly due to stringent regulatory norms and healthcare policies'

Chiropractic Software Market: Key Drivers and Challenges

The increased efficiency and productivity in chiropractic software is notably driving the chiropractic software market growth, although factors such as data security and privacy concerns may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the chiropractic software industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Chiropractic Software Market Driver

The chiropractic software improves the organization's processes by improving the quality and productivity of the practice. For instance, the chiropractic software helps manage patient demographics, spend analysis, overheads, inventory management, insurance claims, regulatory and compliance information, license, etc. The software also generates clinical and administrative performance reports that can be used for practice improvement plans. Customized chiropractic software can track, record, and rate every treatment process in a dashboard. It helps practitioners with every aspect of business optimization, including setting up fee schedules, accounts receivable management, support, overhead, marketing analysis, and ROI. The software also monitors the business processes and identifies financial irregularities that can be reported to the management team for appropriate actions. Hence, chiropractic practices are looking for chiropractic software that can accelerate the organization's growth, reduce cost, and improve productivity and efficiency.

Key Chiropractic Software Market Challenge

Cloud-based chiropractic software implemented in a chiropractic practice can make the patient information and other insurance-related information available to the public or other concerned parties. The cloud-based chiropractic software provides a cost-effective and convenient way to store and access corporate data. However, organizations transfer their data or information to the cloud only if trust is gained between the chiropractic software providers and consumers. The risk of information leakage is high, resulting in the misuse or manipulation of data. These issues can lead to several legal and security concerns related to illegal insurance claims, regulatory and legislative compliance, auditing, and logging. Therefore, concerns about data security have increased, which are compelling many chiropractic practices to delay the adoption of cloud-based chiropractic software.

This chiropractic software market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Market Overview

The global application software market covers companies that are engaged in developing and producing software designed for specialized applications for the business or consumer market. It includes enterprise and technical software, as well as cloud-based software. It excludes companies classified in the interactive home entertainment sub-industry, and companies producing systems or database management software classified in the systems software sub-industry. Technavio calculates the glo

Afghanistan Import shipment dataset with 91% coverage and 2.6 million shipments.

Job Dataset

This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

Descriptions for each of the columns in the dataset:

1. Job Id: A unique identifier for each job posting.
2. Experience: The required or preferred years of experience for the job.
3. Qualifications: The educational qualifications needed for the job.
4. Salary Range: The range of salaries or compensation offered for the position.
5. Location: The city or area where the job is located.
6. Country: The country where the job is located.
7. Latitude: The latitude coordinate of the job location.
8. Longitude: The longitude coordinate of the job location.
9. Work Type: The type of employment (e.g., full-time, part-time, contract).
10. Company Size: The approximate size or scale of the hiring company.
11. Job Posting Date: The date when the job posting was made public.
12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
13. Contact Person: The name of the contact person or recruiter for the job.
14. Contact: Contact information for job inquiries.
15. Job Title: The job title or position being advertised.
16. Role: The role or category of the job (e.g., software developer, marketing manager).
17. Job Portal: The platform or website where the job was posted.
18. Job Description: A detailed description of the job responsibilities and requirements.
19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
20. Skills: The skills or qualifications required for the job.
21. Responsibilities: Specific responsibilities and duties associated with the job.
22. Company Name: The name of the hiring company.
23. Company Profile: A brief overview of the company's background and mission.

Potential Use Cases:

• Building predictive models to forecast job market trends.
• Enhancing job recommendation systems for job seekers.
• Developing NLP models for resume parsing and job matching.
• Analyzing regional job market disparities and opportunities.
• Exploring salary prediction models for various job roles.

Acknowledgements:

We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

Note:

Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

https://raw.githubusercontent.com/Masterx-AI/Project_Retail_Analysis_with_Walmart/main/Wallmart1.jpg" alt="">

Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2F6fb2bf7728a3a187a6d406c0ff2b7a8f%2Fnuclear%20energy%20flag.png?generation=1718487639963302&alt=media" alt="">

Introduction

This dataset is a curated collection of data related to nuclear energy, covering various aspects such as power plant locations and characteristics, uranium production, electricity generation, safety, and more. The data comes from reputable sources including the U.S. Energy Information Administration (EIA), World Resources Institute, Ember Climate, U.S. Nuclear Regulatory Commission (NRC), and Our World in Data.

Nuclear energy is a critical topic as countries around the world seek to decarbonize their electricity grids and combat climate change. At the same time, concerns around safety, waste disposal, and weapons proliferation lead to ongoing debate about the role nuclear should play in the energy transition.

This dataset enables in-depth analysis to inform these important discussions. Potential use cases include:

• Examining trends in nuclear energy generation and capacity over time and across geographies
• Benchmarking the safety record of nuclear compared to other energy sources
• Analyzing uranium production and prices to understand nuclear fuel dynamics
• Identifying major nuclear plant operators and parent companies
• Assessing the current and potential future role of nuclear in the electricity mix of various countries and regions

I encourage the Kaggle community to explore and build upon this dataset. Potential future collaborations could expand the dataset to include more granular plant-level data, detailed reactor specifications, waste and decommissioning data, country-level policy information, public opinion surveys, and more. I also welcome suggestions for additional datasets to include and new analytics projects and tutorials to undertake. Please do not hesitate to create threads in the "Discussion" or "Suggestions" sections. Together we can create a rich resource to power essential research and decision-making around nuclear energy. 🤗

Starter Code

Refer to for some sample data analysis using this dataset. It also shows how to interface with the particular files.

File Descriptions

The below table contains brief descriptions of the files in the dataset. For a more in-depth description of a file titled filename, refer to README_${filename}.md. The README files do not contain any actual data. | File Name | Description | | --- | --- | | global_power_plant_database.csv | The Global Power Plant Database is a comprehensive, open-source dataset of grid-scale electricity generating facilities operating worldwide, currently containing nearly 35,000 power plants in 167 countries and representing about 72% of the world's capacity. The database provides detailed information on each power plant, including location, capacity, primary fuel type, owner, and commissioning year. It also includes both reported and estimated annual electricity generation data from 2013 to 2019. | | nuclear_energy_overview_eia.csv | The data file contains information about nuclear energy in the United States, broken down by year and month. It includes the number of operable nuclear generating units, their net summer capacity, the net generation of electricity from nuclear power, the percentage share of total electricity net generation coming from nuclear power, and the capacity factor of nuclear generating units. This dataset provides a comprehensive overview of the state of nuclear energy in the U.S. over time. | | number_of_plants_producing_uranium_in_us.csv | The file contains yearly data on the number of uranium mills and plants producing uranium concentrate in the United States. It includes columns for the year, the number of conventional milling operations, non-conventional milling operations, in-situ recovery plants, and byproduct recovery plants active each year. | | rates_death_from_energy_production_per_twh.csv | The file contains data on the mortality rates associated with different energy sources used for electricity production. It includes columns for the energy source type, the number of deaths per terawatt-hour (TWh) of electricity generated, and the year (consistently 2021 for all entries). The data provides insights into the relative safety of various energy sources in terms of deaths per ...

Registration information on interstate, intrastate non-hazmat, and intrastate truck and bus companies that operate in the United States and have registered with FMCSA. Contains contact information and demographic information (number of drivers, vehicles, commodities carried, etc).