This dataset is about books. It has 1 row and is filtered where the book is Great ideas for making money. It features 7 columns including author, publication date, language, and book publisher.

Korea Number of Workers: AS: Sports Activities and Amusement Activities data was reported at 313,731.000 Person in 2016. This records an increase from the previous number of 286,064.000 Person for 2015. Korea Number of Workers: AS: Sports Activities and Amusement Activities data is updated yearly, averaging 270,525.000 Person from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 313,731.000 Person in 2016 and a record low of 246,697.000 Person in 2006. Korea Number of Workers: AS: Sports Activities and Amusement Activities data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.G066: No of Workers: KSIC 9th Revision (Annual).

This dataset is about book subjects. It has 1 row and is filtered where the books is Great ideas that will make you money : a special report. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

In the Great Lakes basin, there are numerous organizations undertaking scientific monitoring and research efforts with the goal of identifying threats and evaluating management strategies that will protect and restore the Great Lakes ecosystem. Coordination among all these stakeholders is a challenge, and having a centralized location where researchers and managers can identify relevant scientific activities and access fundamental information about these activities is crucial for efficient management. The Science in the Great Lakes (SiGL) Mapper was a map-based discovery tool that spatially displayed basin-wide multidisciplinary monitoring and research activities conducted by both USGS and partners from all five Great Lakes. It was designed to help Great Lakes researchers and managers strategically plan, implement, and analyze monitoring and restoration activities by providing easy access to historical and on-going project metadata while allowing them to identify gaps (spatially and topically) that have been underrepresented in previous efforts or need further study. SiGL provided a user-friendly and efficient way to explore Great Lakes projects and data through robust search options while also providing a critical spatial perspective through its interactive mapping interface.

Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

A series of fun and engaging activities have been created in Spanish to get the public outside to learn about MPAs while also enjoying them in person.

Forecast: Sports Activities, Amusement and Recreation Activities Gross Value Added in the US 2022 - 2026 Discover more data with ReportLinker!

Forecast: Value Added of Sports Activities, Amusement and Recreation Activities in the US 2024 - 2028 Discover more data with ReportLinker!

Forecast: Employment in Sports Activities, Amusement and Recreation Activities Sector in Finland 2022 - 2026 Discover more data with ReportLinker!

****************** and ****** are the top two answers among U.S. consumers in our survey on the subject of "Most popular hobbies & activities".The survey was conducted online among 64,896 respondents in the United States, in 2025.

Korea BE: AS: Sports Activities and Amusement Activities data was reported at 96,301.000 Unit in 2016. This records an increase from the previous number of 87,621.000 Unit for 2015. Korea BE: AS: Sports Activities and Amusement Activities data is updated yearly, averaging 92,562.000 Unit from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 96,301.000 Unit in 2016 and a record low of 87,621.000 Unit in 2015. Korea BE: AS: Sports Activities and Amusement Activities data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.O014: Number of Establishment: KSIC 9th Revision.

Forecast: Output of Sports Activities, Amusement and Recreation Activities in Austria 2022 - 2026 Discover more data with ReportLinker!

Graph and download economic data for Gross Domestic Product: Support Activities for Mining (213) in the Great Lakes BEA Region (GLAKSAMINNGSP) from 1997 to 2023 about Great Lakes BEA Region, support activities, mining, GSP, private industries, private, industry, GDP, and USA.

MB Great ideas financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

Forecast: Value Added of Sports Activities, Amusement and Recreation Activities in Poland 2022 - 2026 Discover more data with ReportLinker!

Forecast: Production of Sports Activities, Amusement and Recreation Activities in Poland 2024 - 2028 Discover more data with ReportLinker!

Forecast: Production of Sports Activities, Amusement and Recreation Activities in the US 2024 - 2028 Discover more data with ReportLinker!

Forecast: Value Added of Sports Activities, Amusement and Recreation Activities in Mexico 2023 - 2027 Discover more data with ReportLinker!

Demolitions in the Occupied Territories is a dataset that provides statistics on the demolition of Palestinian-owned homes and structures in the Occupied Territories.

The information is based on investigations conducted by B’Tselem – The Israeli Information Center for Human Rights in the Occupied Territories.

Dataset Details:

The dataset covers a period from January 2004 to August 2023 and includes information about the date of demolition, locality, district, area, housing units, people left homeless, minors left homeless, type of structure, and reason for demolition.

Interesting Task Ideas (for Data Analysts):

1. Analyze the trend of demolitions over time to identify any significant patterns or changes.
2. Investigate the distribution of demolitions across different localities, districts, and areas to understand the geographical impact.
3. Explore the relationship between the number of housing units demolished and the number of people, particularly minors, left homeless.
4. Examine the reasons for demolitions and assess their frequency and impact.
5. Visualize the data using maps and charts to highlight the magnitude and geographical distribution of demolitions.

The intention of using this data should be solely for objective analysis and understanding of the situation, without any political intent. Any analysis or interpretation should be approached with sensitivity and respect for human rights.

Related Datasets:

Fatalities in the Israeli-Palestinian Conflict

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Photo by Oleg Solodkov on Unsplash

Forecast: Output of Sports Activities, Amusement and Recreation Activities in the US 2022 - 2026 Discover more data with ReportLinker!