Overview This dataset re-shares cartographic and demographic data from the U.S. Census Bureau to provide an obvious supplement to Open Environments Block Group publications.These results do not reflect any proprietary or predictive model. Rather, they extract from Census Bureau results with some proportions and aggregation rules applied. For additional support or more detail, please see the Census Bureau citations below. Cartographics refer to shapefiles shared in the Census TIGER/Line publications. Block Group areas are updated annually, with major revisions accompanying the Decennial Census at the turn of each decade. These shapes are useful for visualizing estimates as a map and relating geographies based upon geo-operations like overlapping. This data is kept in a geodatabase file format and requires the geopandas package and its supporting fiona and DAL software. Demographics are taken from popular variables in the American Community Survey (ACS) including age, race, income, education and family structure. This data simply requires csv reader software or pythons pandas package. While the demographic data has many columns, the cartographic data has a very, very large column called "geometry" storing the many-point boundaries of each shape. So, this process saves the data separately, with demographics columns in a csv file and geometry in a gpd file needed an installation of geopandas, fiona and DAL software. More details on the ACS variables selected and derivation rules applied can be found in the commentary docstrings in the source code found here: https://github.com/OpenEnvironments/blockgroupdemographics. ## Files While the demographic data has many columns, the cartographic data has a very, very large column called "geometry" storing the many-point boundaries of each shape. So, this process saves the data separately, with demographics columns in a csv file named YYYYblcokgroupdemographics.csv. The cartographic column, 'geometry', is shared as file named YYYYblockgroupdemographics-geometry.pkl. This file needs an installation of geopandas, fiona and DAL software.

The global developer population is expected to reach 28.7 million people by 2024, an increase of 3.2 million from the number seen in 2020. According to the source, much of this growth is expected to occur in China, where the growth rate is between six percent to eight percent heading up to 2023. How much do software developers earn in the U.S.? Software developers work within a wide array of specialties, honing their skills in different programming languages, techniques, or in disciplines such as design. The average salary of U.S.-based designers working in software development reached 108 thousand U.S. dollars as of June 2021, while this figure climbs to 165 thousand U.S. dollars for engineering managers. Salaries are highly dependent on location, however, with an entry-level developer working in the San Francisco/Bay area earning an average of 44.79 percent more than their counterparts starting out in Austin. JavaScript and HTML/CSS still the most widely used languages While programming languages continue to emerge or fall out of favor, JavaScript and HTML/CSS are mainstays of the coding landscape. In a global survey of software developers, over 60 percent of respondents reported using JavaScript, and HTML/CSS. SQL, Python, and Java rounded out the top five.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of software publishers (NAICS 51121), data processing, hosting, and related services (NAICS 51821), and computer systems design and related services (NAICS 54151), annual, for five years of data.

Statistics Software Market Outlook

The global statistics software market size is projected to grow from USD 10.5 billion in 2023 to USD 18.7 billion by 2032, exhibiting a CAGR of 6.5% over the forecast period. The growth of this market is driven by the increasing adoption of data-driven decision-making processes across various industries, the rising need for statistical modeling and analysis tools, and the growing emphasis on advanced analytics to gain competitive advantages. Additionally, the expanding use of artificial intelligence (AI) and machine learning (ML) technologies to enhance the capabilities of statistics software is contributing significantly to market growth.

One of the primary growth factors of the statistics software market is the increasing reliance on data analytics and business intelligence tools across different sectors. Organizations are leveraging statistical software to analyze large volumes of data generated through various digital channels, enabling them to make informed decisions and identify new business opportunities. This trend is particularly evident in the healthcare, finance, and retail sectors, where data-driven insights are crucial for improving operational efficiency, customer satisfaction, and overall performance.

Another key driver for the market is the proliferation of big data and the need for advanced data management solutions. With the exponential growth of data generated by various sources such as social media, IoT devices, and enterprise systems, there is a heightened demand for robust statistical software that can handle complex data sets and perform sophisticated analyses. This has led to increased investments in the development of innovative statistics software solutions that offer enhanced features and capabilities, such as real-time data processing, predictive analytics, and automated reporting.

The integration of AI and ML technologies into statistics software is also significantly boosting market growth. These technologies enable more accurate and efficient data analysis, allowing organizations to uncover hidden patterns and trends that were previously impossible to detect. AI-powered statistical tools can automate repetitive tasks, reduce human error, and provide deeper insights into data, thereby enhancing the overall decision-making process. As a result, there is a growing adoption of AI-driven statistics software across various industries, further propelling market expansion.

Regionally, North America is expected to maintain its dominance in the statistics software market, owing to the presence of numerous leading software providers, high adoption of advanced analytics solutions, and substantial investments in research and development. However, the Asia Pacific region is anticipated to witness the highest growth rate over the forecast period, driven by the rapid digital transformation of businesses, increasing awareness of data analytics benefits, and supportive government initiatives promoting technological advancements.

Component Analysis

The statistics software market is segmented by component into software and services. The software segment includes various types of statistical analysis tools, ranging from basic data visualization software to advanced predictive analytics platforms. This segment holds the largest market share due to the widespread adoption of software solutions that enable organizations to analyze and interpret data efficiently. The continuous development of innovative features, such as real-time analytics, data mining, and machine learning capabilities, is further driving the demand for statistics software.

In contrast, the services segment encompasses consulting, implementation, training, and support services provided by software vendors and third-party providers. These services are crucial for organizations to effectively utilize statistical software and maximize its benefits. The growing complexity of data and the need for specialized expertise in data analysis are driving the demand for professional services in the statistics software market. Moreover, as more businesses adopt advanced analytics solutions, the need for ongoing support and training services is expected to increase, contributing to the growth of the services segment.

The integration of cloud computing with statistics software is also influencing the component-wise growth of this market. Cloud-based solutions offer several advantages, such as scalability, flexibility, and cost-effectiveness, making them an attractive option for organizations of all sizes. As a result, there is a

According to a global software developer survey in 2022, the vast majority of developers are males, accounting for ***** percent of all respondents. Female developers amounted to only **** percent of all respondents, demonstrating the male-dominating reality of software development jobs. Gender imbalance in the tech industry The tech industry has an overwhelming gender imbalance, in which women at leading tech companies tend to be the minority. Consider Dell’s workforce and Intel’s workforce as an example. In both leading tech companies, women make up only around ** percent of the workforce. Computing related positions in the United States vary on gender breakdown, with computer hardware engineers ranking the lowest in terms of gender diversity as of late. Diversity & inclusion initiatives When tech industry CEOs and founders were asked whether diversity and inclusion (D&I) initiatives were effective, **** indicated that they were not effective. This comes at an interesting time, especially given the overall gender imbalance in the tech industry. Not to mention, the majority of senior management positions within the IT industry are dominated by men. Diversity and inclusion initiatives could help to resolve workplace harassment and unequal treatment that many female executives experience within the tech industry today.

The source of Employee Demographic data is an employee self-reported system in our City of Asheville ERP software (Tyler Technology - Munis). Employees self-identify for Race and Ethnicity.

This Table provides a summary of participant demgraphics from a study on agile software development.

Companion DATA

Title: Using social media and personality traits to assess software developers' emotional polarity

Authors: Leo Moreira Silva Marília Gurgel Castro Miriam Bernardino Silva Milena Santos Uirá Kulesza Margarida Lima Henrique Madeira

Journal: PeerJ Computer Science

Github: https://github.com/leosilva/peerj_computer_science_2022

The folders contain:

Experiment_Protocol.pdf: document that present the protocol regarding recruitment protocol, data collection of public posts from Twitter, criteria for manual analysis, and the assessment of Big Five factors from participants and psychologists. English version.

/analysis analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications

/dataset alldata.json: contains the dataset used in the paper

/ethics_committee committee_response_english_version.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. English version. committee_response_original_portuguese_version: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. Portuguese version. committee_submission_form_english_version.pdf: the project submitted to the committee. English version. committee_submission_form_original_portuguese_version.pdf: the project submitted to the committee. Portuguese version. consent_form_english_version.pdf: declaration of free and informed consent fulfilled by participants. English version. consent_form_original_portuguese_version.pdf: declaration of free and informed consent fulfilled by participants. Portuguese version. data_protection_declaration_english_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. English version. data_protection_declaration_original_portuguese_version.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. Portuguese version.

/notebooks General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period

/surveys Demographic_Survey_english_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. English version. Demographic_Survey_portuguese_version.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts. Portuguese version. Demographic_Survey_answers.xlsx: participants' demographic survey answers ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits. ibf_en.doc: translation in English of the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits. ibf_answers.xlsx: participantes' and psychologists' answers for BFI

We have removed from dataset any sensible data to protect participants' privacy and anonymity. We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.

In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement.

Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed.

We will be putting together a full report on this software once we have completed our investigation.

It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified.

This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.

According to the survey, 41 percent of the software developers had bachelor degrees and just over 25 percent had attained a Master's degree of some form as of 2024. Additionally, around 4.9 percent had obtained some sort of professional degree.

Abstract (en): This data collection contains the Census Software Package (CENSPAC), a generalized data retrieval system that the Census Bureau developed for use with its public use statistical data files. CENSPAC primarily provides processing capabilities for summary data files, but it also has some features that are applicable to microdata files. The actual software provides sample JCL for system installation, programs for system reconfiguration, source code for CENSPAC, and machine-readable data dictionaries for STF 1, STF 2, STF 3, and STF 4. 2006-01-12 All files were removed from dataset 19 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 19 and flagged as study-level files, so that they will accompany all downloads. (1) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site. (2) Documentation is provided from the Bureau of the Census detailing the CENSPAC command language for file definition and report generation, the Census documentor for preparing file documentation, and information on system installation. (3) Version 3.2 of the the Census Software Package consists of programs written in 1974 ANSI COBOL and requires 170k bytes of main memory, direct access storage for dictionary files, and input and output devices. CENSPAC was developed on an IBM 370/168 VS, but is also operational under UNIVAC EXEC-8, IBM OS, IBM DOS, Burroughs 7700 CDC 7000, UNIVAC 90/80, Honeywell 6600, DEC 20, DEC Vax, and APPLE II operating systems.

Survey on Equipment and Use of Information and Communication Technologies in Households: Internet users in the last 12 months who have used some type of IT security software by demographic characteristics and type of IT security tool used. National.

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

Worship Software Market Outlook

The global worship software market size is projected to expand significantly from USD 827 million in 2023 to an estimated USD 1,542 million by 2032, reflecting a compound annual growth rate (CAGR) of 7.2%. This market growth is driven by increasing digital transformation within religious bodies and the rising demand for streamlined worship service management solutions.

A primary growth factor propelling the worship software market is the burgeoning adoption of technology within religious institutions. Over the past decade, churches, mosques, temples, and other religious entities have increasingly embraced digital solutions to enhance community engagement, manage administrative tasks, and facilitate worship services. This adoption has been accelerated by the COVID-19 pandemic, which necessitated remote worship and virtual congregations, highlighting the importance of robust digital tools to sustain religious practices amidst social distancing norms.

Another significant driver is the rising emphasis on effective resource management and community outreach by religious organizations. Worship software provides an all-encompassing suite of tools that streamline various functions, including event scheduling, donation management, member communication, and multimedia presentations. This not only enhances operational efficiency but also fosters stronger connections within the community. As religious organizations increasingly recognize the benefits of these digital tools, the demand for worship software continues to grow.

Additionally, the increasing prevalence of mobile applications and cloud-based solutions is propelling market growth. These solutions offer greater accessibility, enabling worship leaders and congregation members to engage with religious content and community activities anytime and anywhere. The convenience and flexibility afforded by such technologies are particularly appealing to tech-savvy congregations and younger demographics, further driving the adoption of worship software.

From a regional perspective, North America dominates the worship software market, owing to the high rate of technological adoption and the substantial presence of religious institutions in the region. However, Asia Pacific is expected to witness the fastest growth over the forecast period. The region's large and diverse religious population, coupled with increasing internet penetration and growing awareness of digital tools, is creating significant opportunities for market expansion.

Component Analysis

The component segment of the worship software market is bifurcated into software and services. The software segment holds the largest share, driven by the extensive range of functionalities it offers. Worship software includes features such as event scheduling, volunteer management, donation tracking, multimedia presentations, and member communication tools. These capabilities streamline various administrative and operational tasks, making it indispensable for religious organizations striving for efficiency and enhanced community engagement.

In addition to the core functionalities, the software segment is further segmented into different types such as worship presentation software, church management software (ChMS), and donor management software. Worship presentation software enables seamless integration of multimedia content into worship services, enriching the worship experience. Church management software, on the other hand, focuses on administrative tasks, offering modules for membership tracking, financial management, and event scheduling. Donor management software helps religious organizations manage contributions and sustain fundraising activities. The growing complexity and scale of religious operations necessitate the adoption of such specialized software solutions.

The services segment, although smaller in comparison to software, is crucial for the successful implementation and utilization of worship software. It encompasses a range of services, including installation, customization, training, and support. As religious organizations vary greatly in size, structure, and needs, customized solutions and professional support services ensure that worship software is effectively tailored to specific requirements. Training services are particularly important, as they equip staff and volunteers with the necessary skills to ma

The current study aims to examine lecturer readiness for English Medium Instruction (EMI) in higher educational institutions and the contextual influences of gender, age, academic qualification, teaching experience, EMI course teaching involvement, and EMI training. A quantitative research design was employed, and a survey questionnaire was completed by 227 lecturers (out of 250 invited participants) from private universities in Klang Valley, Malaysia to gauge self-ratings of personal knowledge, skills, abilities, and attitudes in educating EMI courses. The collected data were subsequently analysed via the Statistical Package for Social Sciences (SPSS) version 27.0 software before revealing the findings from the inferential statistics of the t-test and one-way analysis of variance (ANOVA) on lecturers’ gender, age, academic qualification, teaching experience, EMI course teaching involvement, and EMI training. Resultantly, the important role of lecturers’ knowledge, understanding, skills, abilities, and attitudes was highlighted to further enhance intercultural communicative competence in managing the increasingly diversified student body in EMI classrooms.

Survey on Equipment and Use of Information and Communication Technologies in Households: Internet users in the last 12 months by demographic characteristics and use of some type of IT security software. National.

Graph and download economic data for Employed full time: Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over: Men (LEU0254584000A) from 2000 to 2019 about software, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

The global statistics software market size was valued at USD 11.03 billion in 2025 and is projected to reach USD 28.14 billion by 2033, exhibiting a CAGR of 12.2% during the forecast period. The growing adoption of data analytics across various industries, including finance, healthcare, and manufacturing, is fueling the market growth. Additionally, the increasing availability of big data and the need for data-driven decision-making are further driving the demand for statistical software solutions. Key market trends include the rising popularity of open-source statistical software, the integration of artificial intelligence (AI) and machine learning (ML) capabilities into statistical software, and the emergence of cloud-based statistical software solutions. These trends are expected to continue to shape the market landscape in the coming years. The major players in the statistics software market include Microsoft, IBM, Qlik, MathWorks, Minitab, SAS Institute, Alteryx, MaxStat Software, StataCorp, TIBCO Software, Analyse-it Software, Lumina Decision Systems, Statwing, Systat Software, Addinsoft, SAP, BDP, Tableau Software, RapidMiner, Knime, ABS Group, and QDA Miner. These companies offer a range of statistical software solutions to meet the diverse needs of various industries and organizations.

Introduction

Medical Image Analysis Software Statistics: Medical Image Analysis Software plays a vital role in contemporary healthcare by assisting healthcare experts in precise diagnosis, treatment strategy development, and research activities. It improves image clarity, identifies particular areas of interest, and delivers exact measurements.

Notable trends encompass its smooth incorporation into healthcare systems, reliance on cloud-based solutions, and the rise of personalized medical approaches. Obstacles encompass data security and adherence to regulations.

Nonetheless, the software's future looks bright, fueled by technological advancements and the increasing need for precise medical solutions.

India IT Industry Revenue: USD: Software & Engineering data was reported at 33.000 USD bn in 2018. This records an increase from the previous number of 29.000 USD bn for 2017. India IT Industry Revenue: USD: Software & Engineering data is updated yearly, averaging 15.995 USD bn from Mar 2007 (Median) to 2018, with 12 observations. The data reached an all-time high of 33.000 USD bn in 2018 and a record low of 8.186 USD bn in 2007. India IT Industry Revenue: USD: Software & Engineering data remains active status in CEIC and is reported by National Association of Software and Service Companies. The data is categorized under Global Database’s India – Table IN.TF005: Information Technology Statistics: National Association of Software and Service Company: IT-BPM: Industry Revenue. The revenue of Software & Engineering is the addition of Domestic Revenue and Export Revenue of Software & Engineering. Offshore Software Product Development has been excluded from Export Revenue of Software & Engineering since 2009.