2 datasets found
  1. US Federal Funding Gaps History

    • kaggle.com
    zip
    Updated Dec 19, 2023
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    The Devastator (2023). US Federal Funding Gaps History [Dataset]. https://www.kaggle.com/thedevastator/us-federal-funding-gaps-history
    Explore at:
    zip(3962 bytes)Available download formats
    Dataset updated
    Dec 19, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    US Federal Funding Gaps History

    Historical US Federal Funding Gaps & Political Party Control

    By Throwback Thursday [source]

    About this dataset

    This dataset is a comprehensive historical record of federal funding gaps in the United States, spanning from 1976 to 2018. It provides detailed information on each funding gap, including the start and end dates, total duration in days, and whether or not employees were furloughed.

    The dataset also includes data on the political party control during each funding gap, specifically for both the Senate and the House of Representatives. For each chamber, it indicates which party had control - either Democrats or Republicans - as well as any representation by Independent members.

    Additionally, this dataset contains valuable insights into the impact of federal funding gaps on government employees. It records the number of employees who were furloughed during each gap, allowing for analysis of workforce disruption and potential economic consequences.

    By leveraging this dataset's wealth of information on federal funding gaps in the United States over more than four decades, researchers can gain a deeper understanding of these significant events in governmental operations and their broader implications for various stakeholders

    How to use the dataset

    Introduction:

    • Understanding the Columns: a) Start Date: The date when a federal funding gap began. b) End Date: The date when a federal funding gap ended. c) Total days: The duration of the federal funding gap in days. d) Employees furloughed: A boolean value indicating whether or not employees were furloughed during that specific funding gap. (True = Employees were furloughed, False = No employee was furloughed.) e) Number of Employees Furloughed: The actual count of employees who were furloughed during that specific funding gap. f) Senate Control: The political party that had control over the Senate during each particular period specified. (Categorical - Democratic, Republican) g) Senate Democrats: The number of Democratic senators serving during that specific funding gap. h) Senate Republicans: The number of Republican senators serving during that particular period specified. i) Senate Independents: The number of Independent senators serving at that time frame. j ) House Control :He political party that had control over House Representatives throughoted specific dataried by each perticularnce k ) House Democrats -

    • Analyzing Duration and Furloughs: You can compute various statistics about federal funding gaps using relevant columns such as 'Start Date,' 'End Date,' 'Total days,' 'Employees furloughed,' 'Number of Employees Furloughed. For example:

      • Calculate the average duration of funding gaps during a specific time period.
      • Determine the total number of funding gaps that resulted in employee furloughs.
      • Analyze the average number of employees furloughed during various periods.
    • Understanding Party Control: The dataset includes information about political party control over Senate and House Representatives during funding gaps. • Analyzing Senate Control:

      • Determine which party controlled the Senate during each funding gap period.
      • Compare the prevalence of Democratic, Republican, or Independent control over time.
      1. Exploring

    Research Ideas

    • Analyzing the impact of federal funding gaps on government employees: This dataset can be used to study the number of employees who were furloughed during each funding gap and analyze the duration of their furlough. It can provide insights into the economic effects and hardships faced by government workers during such periods.
    • Examining the political dynamics during funding gaps: By analyzing the control of both the House of Representatives and Senate during each funding gap, this dataset can shed light on how political party control affected negotiations and resolutions. It can help identify patterns or trends in bipartisan cooperation or conflict during these periods.
    • Comparing different funding gaps over time: With information on start dates, end dates, and total days for each gap, this dataset allows for comparisons across different periods in history. Researchers can assess whether funding gaps have become more frequent or longer-lasting over time and identify any patterns that may exist in relation to economic factors or political developments

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    See the dataset d...

  2. Federal Funding Gaps in the US

    • kaggle.com
    zip
    Updated Dec 10, 2023
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    The Devastator (2023). Federal Funding Gaps in the US [Dataset]. https://www.kaggle.com/datasets/thedevastator/federal-funding-gaps-in-the-us
    Explore at:
    zip(3962 bytes)Available download formats
    Dataset updated
    Dec 10, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    Federal Funding Gaps in the US

    Overview of US Federal Funding Gaps (1976-2018)

    By Throwback Thursday [source]

    About this dataset

    The dataset includes columns such as Start Date, End Date, Total days, Employees furloughed, Number of Employees Furloughed, Senate Control, Senate Democrats, Senate Republicans ,Senate Independents ,House Control ,House Democrats ,House Republicans and House Independents.

    Start Date indicates the date when each federal funding gap began. On the other hand End date shows when these funding gaps came to an end. By examining this information for each gap individually along with calculations from other columns like Total days one can gain insights into how long each funding gap lasted.

    Numerical values such as number of employees affected by furloughs are provided within columns like Employees furloughed and Number of Employees Furloughed. The latter column represents a total count for all affected employees throughout a particular funding gap period.

    This dataset delves even deeper into political dynamics by revealing which political party was in control during each federal funding gap period through columns like Senate Control and House Control. Specifically defining whether Democrats or Republicans were leading is very crucial to understand any potential ramifications associated with those particular party affiliations being at power during a given time period.

    Moreover,the numerical data found under columns named Senate Democrats,Senate Republicans,Senate Independents indicate how many members from respective parties were active participants within United States Senate for each individual government fund shutdown event.As we continue through other sections more details about representation will be present .

    Similarly,namesake parties committed to House representatives then find representation factors being unearthed and can be seen through President's Government House Control metric here . Columns like House Democrats, House Republicans and House Independents serve as additional measures to provide a census of who controlled the power dynamic during these respective campaign titanic struggles.Thus , for each federal funding gap period one can ascertain which political party held sway over the decisions made within America's lower parliamentary body.

    In total,this comprehensive dataset offers profound insights into how the United States government experienced financial funding gaps throughout several decades of its history. The information provided in this dataset is crucial for anyone looking to study, analyze, or understand the dynamics, duration, impacts, and control factors associated

    How to use the dataset

    • Understand the Columns:

      • Start Date: The date when a federal funding gap started.
      • End Date: The date when a federal funding gap ended.
      • Total days: The duration of each federal funding gap in days.
      • Employees furloughed: A brief description of the employees affected by each funding gap, providing an insight into different government sectors impacted.
      • Number of Employees Furloughed: The total number of employees who were furloughed during each funding gap.
      • Senate Control and House Control: Political party in control of both chambers during each funding gap (Democrats or Republicans).
    • Gain Insight into Duration and Employee Impact: Explore which federal funding gaps had longer durations and higher numbers of furloughed employees. Sort or filter based on Total days or Number of Employees Furloughed columns, respectively, to identify significant instances.

    • Analyze Political Party Control: Observe which political party was in control during different periods. Analyze if there is any correlation between party control and decision-making leading to a governmental shutdown.

    • Compare Senate and House Representation: Compare Republican, Democrat, Independent representation within both chambers during each period using respective columns like Senate Republicans, House Democrats, etc., providing insights into potential political dynamics affecting these gaps.

    • Highlight Interesting Findings: Communicate your data-driven discoveries by visualizing interesting trends with graphs or summarizing them through storytelling techniques.

    • Respect Data Privacy Please note that while analyzing the dataset, it is essential to respect any data privacy guidelines and not draw conclusions about individual employees or reveal any sensitive information.

    Best of luck with your analysis!

    Research Ideas

    • Analyzing the impact of federal funding gaps: This datas...
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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
The Devastator (2023). US Federal Funding Gaps History [Dataset]. https://www.kaggle.com/thedevastator/us-federal-funding-gaps-history
Organization logo

US Federal Funding Gaps History

Historical US Federal Funding Gaps & Political Party Control

Explore at:
zip(3962 bytes)Available download formats
Dataset updated
Dec 19, 2023
Authors
The Devastator
Area covered
United States
Description

US Federal Funding Gaps History

Historical US Federal Funding Gaps & Political Party Control

By Throwback Thursday [source]

About this dataset

This dataset is a comprehensive historical record of federal funding gaps in the United States, spanning from 1976 to 2018. It provides detailed information on each funding gap, including the start and end dates, total duration in days, and whether or not employees were furloughed.

The dataset also includes data on the political party control during each funding gap, specifically for both the Senate and the House of Representatives. For each chamber, it indicates which party had control - either Democrats or Republicans - as well as any representation by Independent members.

Additionally, this dataset contains valuable insights into the impact of federal funding gaps on government employees. It records the number of employees who were furloughed during each gap, allowing for analysis of workforce disruption and potential economic consequences.

By leveraging this dataset's wealth of information on federal funding gaps in the United States over more than four decades, researchers can gain a deeper understanding of these significant events in governmental operations and their broader implications for various stakeholders

How to use the dataset

Introduction:

  • Understanding the Columns: a) Start Date: The date when a federal funding gap began. b) End Date: The date when a federal funding gap ended. c) Total days: The duration of the federal funding gap in days. d) Employees furloughed: A boolean value indicating whether or not employees were furloughed during that specific funding gap. (True = Employees were furloughed, False = No employee was furloughed.) e) Number of Employees Furloughed: The actual count of employees who were furloughed during that specific funding gap. f) Senate Control: The political party that had control over the Senate during each particular period specified. (Categorical - Democratic, Republican) g) Senate Democrats: The number of Democratic senators serving during that specific funding gap. h) Senate Republicans: The number of Republican senators serving during that particular period specified. i) Senate Independents: The number of Independent senators serving at that time frame. j ) House Control :He political party that had control over House Representatives throughoted specific dataried by each perticularnce k ) House Democrats -

  • Analyzing Duration and Furloughs: You can compute various statistics about federal funding gaps using relevant columns such as 'Start Date,' 'End Date,' 'Total days,' 'Employees furloughed,' 'Number of Employees Furloughed. For example:

    • Calculate the average duration of funding gaps during a specific time period.
    • Determine the total number of funding gaps that resulted in employee furloughs.
    • Analyze the average number of employees furloughed during various periods.
  • Understanding Party Control: The dataset includes information about political party control over Senate and House Representatives during funding gaps. • Analyzing Senate Control:

    • Determine which party controlled the Senate during each funding gap period.
    • Compare the prevalence of Democratic, Republican, or Independent control over time.
    1. Exploring

Research Ideas

  • Analyzing the impact of federal funding gaps on government employees: This dataset can be used to study the number of employees who were furloughed during each funding gap and analyze the duration of their furlough. It can provide insights into the economic effects and hardships faced by government workers during such periods.
  • Examining the political dynamics during funding gaps: By analyzing the control of both the House of Representatives and Senate during each funding gap, this dataset can shed light on how political party control affected negotiations and resolutions. It can help identify patterns or trends in bipartisan cooperation or conflict during these periods.
  • Comparing different funding gaps over time: With information on start dates, end dates, and total days for each gap, this dataset allows for comparisons across different periods in history. Researchers can assess whether funding gaps have become more frequent or longer-lasting over time and identify any patterns that may exist in relation to economic factors or political developments

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset d...

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