In today's investment world, the sports and entertainment sector represents an exciting arena for both entertainment and investment. This comprehensive dataset delves into the daily stock performance of leading sports and entertainment companies, offering investors an opportunity to gauge the pulse of the industry. Through the analysis of daily opening and closing values, highest and lowest points, and trading volumes, investors are invited into the inner workings of this vibrant sector. Companies like SIX and AOUT reflect not only their financial successes but also the energy and evolving face of the sports and entertainment sector. The daily stock performance of these companies is not just about numbers; it also reflects the evolution of sports events, entertainment options, changing consumer interests, and even the reflections of global events. This dataset provides investors a chance to peek behind the curtain of this dynamic sector. By meticulously examining the data, investors can identify patterns, capture trends, and measure the factors influencing daily stock values. These insights empower investors to make informed decisions, aligning their portfolios with the future trajectory of the sports and entertainment sector. Technological advancements, shifts in viewer preferences, and global events are transforming the sports and entertainment sector. The daily stock performance of companies like SIX and AOUT reflects the transformation of sports events, the reshaping of the entertainment sector, and the reflection of viewer behaviors. This data assists investors in closely tracking the sector's evolution. The daily stock performance of companies like SIX and AOUT presents a narrative that mirrors the vibrancy and potential of the sports and entertainment sector. These insights empower investors to predict trends, assess risks, and seize opportunities within the dynamic world of sports and entertainment investments.

The money market statistical reporting (MMSR) dataset, collected on the basis of transaction-by-transaction data from a sample of euro area reporting agents, provides information on the secured, unsecured, foreign exchange swap and overnight index swap euro money market segments. For the unsecured and secured segments all statistics are calculated in reference to each reserve maintenance period (MP), i.e. reflecting transactions with a trade date within the relevant MP. For the OIS segment the series on spot transactions are calculated with reference to each MP, while the statistics on forward-dated transactions are calculated with reference to each quarter. The euro short-term rate (€STR) is based on MMSR data. Depending on the series, aggregated total nominal amounts, daily average nominal amounts and weighted average rates are published for each MP or quarter. The published breakdowns differ across market segments and include series by transaction type, counterparty sector and maturity.

This data set was provided by the municipalities of Ankara, İstanbul and Izmir and includes the addresses of the mukhtars within the municipal boundaries of these cities. The data set contains geographical information about districts, neighborhoods and mukhtar's addresses. It does not contain personal data, it only presents geolocation information. This data set can help citizens to reach local government units by providing information about mukhtar's addresses. It provides information about mukhtar's addresses, making geographical analyzes or providing information about local services. Of note, this dataset does not contain personal data and only presents geolocation information.

This dataset contains stock market data for prominent energy companies operating within the Refinery and Distribution, namely MPC, PSX and VLO. It encompasses 5 years of trading data, including daily opening and closing prices, the highest and lowest prices recorded during the day, and the trading volume for each respective day. This dataset, which provides the stock performance analysis of major companies in the Refinery and Distribution sector such as MPC, PSX, and VLO, holds significant value for investors, analysts, and researchers. Due to its inclusion of daily stock price changes, this dataset is a crucial tool for those evaluating both short-term and long-term investment strategies for these companies.