The source forecast that, in 2023, the cost of advertising on digital videos in Argentina will increase by an average of ** percent. The medium's average inflation rate in Turkey and Taiwan will reach ** and ** percent that year, respectively.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Video and Audio in U.S. City Average (CUSR0000SERA) from Jan 1994 to Sep 2025 about video, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

A survey from June 2022 found that inflation already inspired one in five U.S. consumers to cancel at least one streaming service subscription. A further ** percent stated that they will have to drop streaming services if inflation continues at the current rate. Only ** percent of people interviewed said that inflation has no impact on their streaming behavior.

This statistic displays the online video advertising average inflation in the United Kingdom (UK) from 2014 to 2019, as well as a forecast for 2020. Online video advertising prices were projected to increase by 3.7 percent in 2020.

Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Video and Audio in U.S. City Average (CWSR0000SERA) from Jan 1994 to Sep 2025 about video, clerical workers, urban, wages, CPI, inflation, price index, indexes, price, and USA.

Transforme fotos em vídeos 3D virais de expansão usando a IA do Image-to-Video Maker. Gere efeitos incríveis de inchaço, pulsação e flutuação em segundos. Viralize agora!

Here is your guide to understanding inflation. The Cleveland Fed's Center for Inflation Research provides inflation basics and explanations of inflation essentials for you to explore.

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS). This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

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Global media inflation rates are projected to vary significantly across different mediums in 2025, with online video leading at *** percent and radio at just *** percent. This reflects the ongoing shift in media consumption patterns and advertising spend. The data highlights the resilience of digital platforms and the challenges faced by traditional print media in an increasingly digital landscape. Digital dominance and traditional media's struggle The disparity in inflation rates across media types underscores the growing divide between digital and traditional platforms. In 2023, online media worldwide experienced an inflation rate of *** percent, more than double that of offline media at *** percent. This trend is expected to continue in 2024, with online video and display maintaining higher inflation rates compared to newspapers and magazines. The shift is further evidenced by global media consumption patterns, with users spending an average of ***** hours and ** minutes daily on mobile devices in 2024. Industry leaders and market dynamics The changing media landscape is reflected in the revenue rankings of top media companies. In 2023, tech giants Alphabet Inc. and Meta Platforms Inc. led the pack, followed by traditional media conglomerates like Comcast Corporation and Walt Disney. This hierarchy illustrates the growing influence of digital platforms in the media industry. The United States remains a crucial market for these companies, with American consumers spending an average of over ** hours daily consuming major media. As the global entertainment and media market continues to expand, and projections suggest it could reach a value of *** trillion U.S. dollars by 2027, driven largely by the continued growth of digital platforms.

Graph and download economic data for Producer Price Index by Industry: Audio and Video Equipment Manufacturing: Other Consumer Audio and Video Equipment (PCU3343103343105) from Mar 1980 to Sep 2025 about video, audio-visual, equipment, consumer, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Overview:

This dataset provides an extensive overview of video game console generations, capturing key details about the evolution of gaming hardware from the early days to modern times. It includes information on the time periods, primary consoles, release years, game media formats, original and inflation-adjusted prices, and total systems sold for each generation. This dataset is a valuable resource for understanding the technological advancements, market dynamics, and economic trends in the video game industry.

Dataset Details:

The dataset includes the following attributes for each console generation:

• Generation: The numerical identifier for the console generation (Text).
• Time Period: The span of years during which the generation was active (Text).
• Primary Consoles: The main consoles that defined the generation (Text).
• Year of Release: The year when the primary consoles of the generation were released (Integer).
• Game Media: The type of media used for game distribution (e.g., cartridges, CDs, digital downloads) (Text).
• Original Price: The launch price of the primary consoles in their release year (Float).
• 2022 Price (Adjusted for Inflation): The inflation-adjusted price of the consoles as of 2022 (Float).
• Total Systems Sold: The total number of units sold for the primary consoles in the generation (Integer).

Key Features:

• Comprehensive Coverage: Includes all major video game console generations from the first generation to the latest.
• Economic Insights: Provides original and inflation-adjusted prices, offering a perspective on the economic impact and affordability of gaming consoles over time.
• Sales Data: Includes total units sold, highlighting the market success and consumer adoption of each console generation.
• Technological Evolution: Captures the shift in game media formats, reflecting technological advancements in data storage and distribution.

Usage:

This dataset is valuable for:

• Historical Analysis: Studying the evolution of video game consoles, market trends, and technological advancements.
• Economic Research: Analyzing the economic impact of video game consoles, including pricing trends and inflation adjustments.
• Market Research: Understanding consumer preferences, market penetration, and sales performance of different console generations.
• Educational Purposes: Serving as a resource for courses and research projects in game design, economics, and technology history.

Data Maintenance:

• Last Updated: 2020

Additional Notes:

• Data Source: Compiled from authoritative sources including industry reports and market research publications.
• Inflation Adjustment Method: Prices adjusted for inflation using the Consumer Price Index (CPI) to provide a standardized comparison over time.

Graph and download economic data for Producer Price Index by Industry: Audio and Video Equipment Manufacturing: Secondary Products (PCU334310334310S) from Mar 1980 to Jun 2013 about video, audio-visual, secondary, equipment, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

As of November 2020, television advertising prices were expected to decrease by minus *** percent in 2020. Online video ads and online display were forecast to show the highest advertising inflation amongst the other channels, at *** and *** percent respectively.This statistic shows the expected average advertising inflation in the Netherlands for 2020, by advertising channel.

This statistic shows the expected average advertising inflation in Belgium for 2020, by advertising channel. As of November 2019, television advertising prices were expected to increase by *** percent in 2020. Online video ads were forecast to show the highest advertising inflation at *** percent.

In 2023, TV was forecast to demonstrate the highest level of advertising inflation at **** percent, while the lowest rate was expected for broadcaster video-on-demand (BVoD) at *** percent. Inflation rate of ecommerce media advertising (digital retail media) was projected to amount to *** percent.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

[Video] S&P 500: Bull or Bear?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This video and accompanying lesson plan demonstrate a simple experiment to calculate the coefficient of thermal expansion of tap water. The activity is designed for a high school science class, but can also be done with younger (middle school) or older (lower division university) learners. The experiment uses common household implements, and requires basic algebraic manipulation to complete the calculations. Coefficients of thermal expansion vary as a function of pressure, temperature, and composition. Once learners have calculated the coefficient of thermal expansion for their experiment they can use tabulated coefficients to make predictions about real-world scenarios, such as the effect of increased ocean temperature on global sea level.

The video is also located on Youtube: https://youtu.be/7q2SGL_qmbg With accompanying resources at PRI: https://www.priweb.org/science-education-programs-and-resources/teach-climate-science

Data on home video entertainment spending in the United States has revealed that SVOD accounted for over ** billion U.S. dollars of all consumer spending on video entertainment in 2024, up from **** billion dollars a decade earlier. Traditional pay TV (or MVPD) made up the highest share of home video entertainment in the past years, but declined by around ** billion U.S. dollars. However, after adjustments for the effects of inflation, the value was even lower.

According to a survey between December 2024 and January 2025, ** percent of respondents saw a lower-priced tier with advertisement as a crucial element. Similarly, around ************* leading media insiders believed bundled offers with local operators as well as an improved user journey in their interface were important. In contrast, a significant share of respondents stated that other features, like 4K/UHD content and enhanced audio, were not key factors for SVOD's growth.