2 datasets found
  1. m

    Data for: Determining the Most Favorable Settings for Low-fidelity 3D...

    • data.mendeley.com
    • narcis.nl
    Updated Jul 29, 2018
    + more versions
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    Data for: Determining the Most Favorable Settings for Low-fidelity 3D Printers to Attain Optimal Print Quality with Minimal Wastage [Dataset]. https://data.mendeley.com/datasets/r9h2ykvzcn/1
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    Dataset updated
    Jul 29, 2018
    Authors
    Rodney Lobo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data contains 4 kinds of files. Files are organized in folders for easy interpretation:

    1) An Excel file. This has all the data collected from the measurement. This file can be opened using Microsoft excel.

    2) Minitab project files (MPJ) . These files can be opened using the statistical software Minitab version 17. They include the data, analyses and plots used to interpret the results of the research.

    3) A PDF document. This has all the plots related obtained through the research data to determine the optimal settings. This can be opened in any PDF reader.

    4) Original TIF and BMP images obtained from the CT scan. Only one relevant image from each data-set is shown because it contains hundreds of images. These can be opened using most image viewing applications such as windows photo viewer.

  2. R

    Regression Data Analysis Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 6, 2025
    + more versions
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    AMA Research & Media LLP (2025). Regression Data Analysis Software Report [Dataset]. https://www.archivemarketresearch.com/reports/regression-data-analysis-software-51787
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for Regression Data Analysis Software is experiencing robust growth, driven by increasing adoption across diverse sectors. While precise figures for market size and CAGR weren't provided, a reasonable estimation, considering the widespread use of this software in research, business intelligence, and predictive modeling, places the 2025 market size at approximately $5 billion USD. This market is projected to exhibit a Compound Annual Growth Rate (CAGR) of around 12% from 2025 to 2033, fueled by several key factors. The rising volume of data generated across industries necessitates sophisticated analytical tools for extracting meaningful insights, making regression analysis software indispensable. Furthermore, advancements in machine learning and artificial intelligence are enhancing the capabilities of these tools, expanding their applicability in areas such as predictive maintenance, fraud detection, and personalized medicine. The increasing demand for data-driven decision-making across sectors like healthcare, BFSI (Banking, Financial Services, and Insurance), and manufacturing further contributes to the market's expansion. The market segmentation reveals strong growth across various application areas. The healthcare sector's reliance on data analysis for clinical trials, personalized medicine, and disease prediction is a significant driver. Similarly, the BFSI sector uses regression analysis for risk assessment, credit scoring, and fraud detection. While the personal edition segment holds a considerable share, the commercial software segment is expected to witness faster growth due to its advanced features and scalability for enterprise-level deployments. Geographically, North America and Europe currently dominate the market, but the Asia-Pacific region is projected to experience significant growth due to increasing digitalization and investments in technological infrastructure. However, factors such as the complexity of software implementation, the need for specialized skills, and data security concerns could potentially restrain market growth. Nevertheless, the overall outlook remains highly positive, with continued expansion driven by technological advancements and the growing need for data-driven insights across all industries.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Data for: Determining the Most Favorable Settings for Low-fidelity 3D Printers to Attain Optimal Print Quality with Minimal Wastage [Dataset]. https://data.mendeley.com/datasets/r9h2ykvzcn/1

Data for: Determining the Most Favorable Settings for Low-fidelity 3D Printers to Attain Optimal Print Quality with Minimal Wastage

Explore at:
Dataset updated
Jul 29, 2018
Authors
Rodney Lobo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The data contains 4 kinds of files. Files are organized in folders for easy interpretation:

1) An Excel file. This has all the data collected from the measurement. This file can be opened using Microsoft excel.

2) Minitab project files (MPJ) . These files can be opened using the statistical software Minitab version 17. They include the data, analyses and plots used to interpret the results of the research.

3) A PDF document. This has all the plots related obtained through the research data to determine the optimal settings. This can be opened in any PDF reader.

4) Original TIF and BMP images obtained from the CT scan. Only one relevant image from each data-set is shown because it contains hundreds of images. These can be opened using most image viewing applications such as windows photo viewer.

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