About Dataset

This dataset contains detailed information about phones listed on Amazon, including product specifications, user reviews, ratings, and pricing. The dataset can be useful for analyzing product trends, consumer preferences, pricing strategies, and technical features of smartphones sold on the platform. It includes both new and Amazon-renewed phones.

Description

The dataset includes the following key features:

• Color: The available color of the phone.
• Image Links: URLs to the images of the products.
• Descriptions: Detailed descriptions of the phone, including specifications.
• Kind Product: The type or category of the product (smartphones, accessories, etc.).
• Ratings: User ratings (out of 5 stars).
• Number of Ratings: Total count of ratings the product has received.
• Status: Availability status (e.g., In Stock, Out of Stock).
• Number of Buyers Last Month More Than: Approximate number of buyers in the previous month.
• Typical Price: The regular price with usd of the phone without any discounts.
• Price: The current price with usd of the phone.
• You Save: The amount saved if the phone is on discount.
• Discount: The percentage discount offered on the product.
• Brand: The brand name of the phone (e.g., Apple, Samsung).
• OS: The operating system of the phone (e.g., Android, iOS).
• CPU Model: The model of the processor used in the phone.
• Resolution: The screen resolution of the phone.
• Name: The product name as listed on Amazon.
• Wireless Carrier: The supported wireless carrier (e.g., Verizon, AT&T).
• Cellular Technology: The cellular network technology (e.g., 4G, 5G).
• Dimensions: Physical dimensions of the phone.
• ASIN: Amazon Standard Identification Number, a unique product identifier.
• Model: The model number of the phone.
• Amazon Renewed: Indicates whether the product is part of the Amazon Renewed program (refurbished).
• Renewed Smartphones: Additional flag indicating if the phone is renewed.
• Battery Capacity: The capacity of the phone’s battery (in mAh).
• Battery Power: The power rating of the battery.
• Charging Time: Time taken to charge the phone fully.
• RAM: The amount of RAM in the phone.
• Storage: Internal storage capacity of the phone.
• Screen Size: Size of the display (in inches).
• Connectivity Technologies: Wireless technologies supported by the phone (e.g., Bluetooth, Wi-Fi).
• Wireless Network: Type of wireless networks supported (e.g., Wi-Fi 6).
• CPU Speed: The speed of the phone’s CPU (in GHz).
• Reviews USA: User reviews originating from the USA.
• Reviews Other: User reviews from countries other than the USA.

Detail

This dataset includes a comprehensive range of variables, offering insight into both the technical aspects and customer perceptions of various smartphones sold on Amazon. The dataset allows for:

• Product Comparisons: Comparison of specifications like RAM, CPU, storage, battery life, screen size, etc.
• Pricing Analysis: Understanding pricing trends, discounts, and price fluctuations across different brands and models.
• Consumer Insights: Analysis of consumer behavior through ratings, reviews, and the number of buyers over time.
• Product Availability: Insights into stock availability and how often certain products are sold or renewed.

Usage

The dataset can be used for several purposes, including but not limited to:

1. Market Research: Analyze product popularity and trends in smartphone sales on Amazon.
2. Sentiment Analysis: Perform sentiment analysis on reviews (USA and other countries) to understand customer satisfaction.
3. Price Forecasting: Build models to forecast price changes or identify the best time to buy based on historical data.
4. Product Recommendations: Develop recommendation systems based on user reviews, ratings, and product features.
5. Competitive Analysis: Compare different brands and models to identify strengths and weaknesses of various smartphones.
6. Feature Engineering for ML Models: Use product specifications like RAM, CPU speed, and battery power to create features for predictive machine learning models.

Summary

This Amazon product phones dataset provides an in-depth look at smartphones sold on Amazon, covering everything from technical specifications to user reviews and pricing. It is ideal for anyone looking to analyze trends in the smartphone market, consumer preferences, or technical specifications. The data can be leveraged for a wide array of projects such as market analysis, machine learning, and competitive intelligence.

This dataset presents the costs of TB interventions per patient episode, as estimated in the Value TB project. Data was collected in 78 health facilities across five countries (including Kenya, Ethiopia, India, Philippines, and Georgia). For each intervention we detail the quantity of outputs (including outpatient visits, inpatient bed-days, lab tests, etc) per patient episode, and the unit cost of each output. Interventions are broken down by platform and population type.

Cost and return estimates are reported for the United States and major production regions for corn, soybeans, wheat, cotton, grain sorghum, rice, peanuts, oats, barley, milk, hogs, and cow-calf. The history of commodity cost and return estimates for the U.S. and regions is divided into three categories: current, recent, and historical estimates. Cost of Production Forecasts are also available for major U.S. field crops.

Costs are a leading driver of take-up and usage of digital financial services (DFS), yet little work has been done to measure these costs systematically. The Transaction Cost Index (TCI) seeks to fill this gap by systematically measuring the costs of using mobile money. We consider a broad definition of cost, inclusive of official fees and taxes, informal extra fees charged by agents, and non-pecuniary costs such as the opportunity cost of time wasted on failed transactions and exposure to consumer protection risks. Data was collected in two rounds. We conducted two activities: 1) Desk work: we systematically scraped official price lists from leading mobile money providers across 16 countries. We additionally collected information on tax treatment of mobile money transactions and regulations related to mobile money pricing. We additionally measured the ease of accessing providers’ pricing information 2) Fieldwork: to measure costs beyond official fees, in our first year, we tested three approaches to measuring the true cost of making mobile money transactions with agents, including overcharging and non-monetary costs. In our second year, we additionally modified our data collection approach based on lessons learned in the first year of work, focusing on only one approach. This work was conducted in Bangladesh, Tanzania, and Uganda.

This dataset is about stocks per day. It has 150 rows and is filtered where the stock is AVG.L and the date is after the 28th of September 2024. It features 3 columns: stock, and closing price.

This dataset contains monthly retail price data for a wide range of consumer products sold in various Canadian provinces over several years. It has been enriched with tax, category, and classification metadata for deeper insights.

Usefulness of the Dataset

This dataset can be used for:

Purpose and Use Cases

This dataset is ideal for:

🏛️ Policy Analysis

Understand how federal and provincial taxes shape price access — especially for essentials like milk, bread, or medications.

🧍‍♀️ Consumer Insights

See how costs for personal care, food, and baby goods evolve month-over-month in each region.

💸 Inflation & Seasonality

Analyze how monthly or yearly trends (e.g., holiday spikes or inflation events) affect product pricing.

🌍 Social Impact Studies

Measure product accessibility gaps between provinces for low-income consumers or high-tax regions.

🛍️ Retail & Budget Planning

Guide families, retailers, or policymakers on where and when to buy or subsidize certain products.

This Cost of International Education dataset compiles detailed financial information for students pursuing higher education abroad. It covers multiple countries, cities, and universities around the world, capturing the full tuition and living expenses spectrum alongside key ancillary costs. With standardized fields such as tuition in USD, living-cost indices, rent, visa fees, insurance, and up-to-date exchange rates, it enables comparative analysis across programs, degree levels, and geographies. Whether you’re a prospective international student mapping out budgets, an educational consultant advising on affordability, or a researcher studying global education economics, this dataset offers a comprehensive foundation for data-driven insights.

Description

Potential Uses

• Budget Planning Prospective students can filter by country, program level, or university to forecast total expenses and compare across destinations.
• Policy Analysis Educational policymakers and NGOs can assess the affordability of international education and design support programs.
• Economic Research Economists can correlate living-cost indices and tuition levels with enrollment rates or student demographics.
• University Benchmarking Institutions can benchmark their fees and ancillary costs against peer universities worldwide.

Notes on Data Collection & Quality

• Currency Conversions All monetary values are unified to USD using contemporaneous exchange rates to facilitate direct comparison.
• Living Cost Index Derived from reputable city-index publications (e.g., Numbeo, Mercer) to standardize disparate cost-of-living metrics.
• Data Currency Exchange rates and fee schedules should be periodically updated to reflect market fluctuations and policy changes.

Feel free to explore, visualize, and extend this dataset for deeper insights into the true cost of studying abroad!

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LMI Inventory Costs in the United States increased to 78.40 points in May from 75.60 points in April of 2025. This dataset provides - United States LMI Inventory Costs Current- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The data set includes the top 25 list for costliest prescribed drugs, most frequently prescribed drugs and the prescribed drugs with the highest monthly median out-of-pocket costs. Each of these top 25 lists are given for commercial plans and are broken out by brand or generic category (i.e., Brand or Generic, Brand, and Generic). The includes National Drug Code (NDC), Drug Name, number of prescriptions, number of individuals, total costs, cost per prescription and monthly median out-of-pocket costs for each NDC in each top 25 list.

This database provides county-level childcare prices for most states in the United States over 14 years. The childcare price data are combined with county-level data from the American Community Survey to provide demographic and economic characteristics of the counties. The database facilitates research on childcare prices by county and demographic and economic characteristics.

About this dataset

Insurance rates for vehicles is a major market that is subject to a lot of variance. This simple and small dataset contains the insurance rate for all US states.

How to use

• Explore insurance rates per state, find optimal prices
• More datasets

Acknowledgements

Sources

• Howmuch
• ValuePenguin

License

License was not specified at the source

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Gasoline rose to 2.09 USD/Gal on June 9, 2025, up 0.36% from the previous day. Over the past month, Gasoline's price has fallen 2.01%, and is down 13.72% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on June of 2025.

This dataset provides the average annual cost range of mobile home insurance for various states in the United States.

The Intelligent Transportation Systems Joint Program Office (ITS JPO) of the U.S. Department of Transportation (U.S. DOT) established the ITS Costs Database as a national resource for transportation professionals to go to in order to obtain cost estimates for ITS deployments. The purpose of the ITS Costs Database is to support informed decision-making by transportation leaders. The ITS Costs Database contains estimates of ITS costs that can be used for developing project cost estimates during the planning process or preliminary design phase, and for policy studies and cost-benefit analyses. Both non-recurring (capital) and recurring (operating and maintenance) costs are provided where possible. Two types of cost data are available: unit costs and system cost summaries. System cost summaries are the costs of an ITS project or portion of an ITS project such as the cost of expanding a statewide road weather information system or the detailed costs for a signal interconnect project. Each entry describes the background of the project, the ITS technologies deployed, and presents the costs and what the costs covered. A breakout of components and costs is provided for most summaries depending on the information available. Both capital costs and annual O&M costs are presented whenever possible. Unit costs are the costs associated with an individual ITS element, such as a video camera for traffic surveillance or a dynamic message sign. A range of costs (e.g., $500 - $1,000) is presented for the capital cost and annual operations and maintenance (O&M) cost of each element as well as an estimate of the length in years of its usable life. Unit costs are available in two formats: unadjusted and adjusted. Unadjusted costs are presented as the original value along with the dollar year.

2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.

How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.

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Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

Labour Costs in Luxembourg increased to 150.40 points in the fourth quarter of 2024 from 132.10 points in the third quarter of 2024. This dataset provides - Luxembourg Labour Costs - actual values, historical data, forecast, chart, statistics, economic calendar and news.