Análisis estadístico Jobs

Dispongo de una ortofoto de dron ya rectificada (resolución muy alta) y de la base de datos con los cálculos manuales de referencia. El tramo de estudio cubre dos avenidas de pavimento flexible (3 carriles cada una, 500 m aprox.). Necesito que, en ArcGIS Pro, proceses la nube de imágenes y entregues los tres indicadores técnicos seleccionados: PCI, PSI e IRI. Después deberás contrastar esos resultados con los datos normados que te facilitaré y elaborar un análisis que evidencie la capacidad de medición del método fotogramétrico frente al procedimiento tradicional. Fecha límite: este sábado (06/12/2025). Entrego material de entrada, esquema de columnas y formato deseado; tú devuelves: ...

I need an AI-driven tool that can turn nothing more than a list of CSV column headers from banking-related financial data into a detailed risk assessment in under eight seconds. Paste the headers, hit “Run”, and the model should return an executive-ready report that flags key financial risks, quantifies their significance, explains the rationale, and suggests follow-up audit procedures. Scope • Input: CSV headers from banking datasets (balance sheet, P&L, GL extracts, etc.). • Processing: Large Language Model (GPT-4, Claude, or comparable open-source alternative) chained with a rules/ontology layer specific to banking audit standards (Basel, COSO, PCAOB). • Output: A comprehensive, well-structured risk analysis—no high-level summaries; I want ful...

السلام عليكم و رحمة الله و بركاته أريد دراسة ميدانية واضحة عن وضع الوجبات الخفيفة والحلويات على رفوف السوبرماركتات والمتاجر في أراضي 48 والضفة الغربية. تركيزي الوحيد هو الويفر (البفلة) سواء السادة أو المغطسة بالشوكولا، لذلك أحتاج إلى بيانات تفصيلية تعكس ما يراه المستهلك الصغير أو المراهق عند دخوله المتجر. المخرجات التي أنتظرها تشمل: • قاعدة بيانات توثق المنتج المطلوب: الاسم التجاري، حجم العبوة، السعر الحالي، أي عروض ترويجية، وملاحظات عن مكان تموضعه على الرف. • توثيق مصوَّر (صور عالية الدقة) لأرفف العرض حتى أتمكن من مراجعة التعبئة وتصميم التغليف بنفسي. • تحليل سردي مختصر يبرز الحصص السوقية التقديرية للعلامات الرئيسة، الفروق السعرية بين أراضي 48 والضفة، واتجاهات التذوق لدى الفئة العمرية المستهدفة. تهمني الدقة في جمع الأسعار، ذكر العملة. أقدّر كثيرًا العمل الميدا...

I’m preparing a scholarly paper for 5 different topics that sits at the intersection of science, economics, and finance. I already have my central question outlined, but I need someone who can turn that concept into a polished, publication-ready manuscript. The scope covers: • Building a solid literature review anchored in recent peer-reviewed work. • Collecting or sourcing reputable datasets, running the appropriate statistical analysis (Stata, R, or Python—whichever you prefer), and clearly interpreting the results. • Crafting each section—introduction, methodology, findings, discussion, and conclusion—so the argument flows logically and meets academic standards (APA or Chicago citation style is fine; just stay consistent). Deliverables...

I need detailed research to support a nursery business plan. This should be concise and easy to understand. Key Areas of Research: Demographic Information: - Age groups of potential customers, growth of relevent age groups of people and women of child bearing age, data that proves there is a pipeline Market Size Data: - Number of potential customers in the target area, how this will change over years, amount of nurseries that are full with waiting lists Competition Data: - Key competitors in the nursery market - Their market share and strengths/weaknesses I need this done ASAP, so please only apply if you can start immediately and deliver quickly. Ideal skills and experience: - Background in market research - Ability to analyze and present data clearly - Experience in the nursery or...

I’m looking for a freelancer who can set up reliable, easy-to-update budget-forecasting calculations for me. The core need is strictly financial: I want to project cash-in and cash-out over time, spot potential shortfalls early, and test best-case versus worst-case scenarios. Right now I have raw figures and a rough outline of the periods I’d like to project; what’s missing is a solid model that automatically updates when I change the inputs. Excel, Google Sheets, or a lightweight Python script are all fine by me—as long as the logic is transparent, the formulas are clean, and I can tweak assumptions without breaking anything. If you also know your way around investment analysis or loan amortization that would be an added bonus for future phases, but the immed...

Over the next few months I will be commissioning a series of research projects that need a writer who lives in, or has deep familiarity with, Malaysia. Subjects vary—social issues, emerging technology, and healthcare regulation are common themes—so the brief can swing from a tight literature review to a market-sized data analysis or a full-scale academic report. The core task is to take a research question I supply, locate and evaluate credible Bahasa Malaysia and English sources (journals, government data sets, industry papers, news archives), then distill the findings into clear, well-structured English. Proper citation (APA or Harvard) and an executive summary are always required; charts or basic statistical outputs may be requested when the data supports it. Typical workf...

Project Summary: We are seeking contributors to participate in a search data analyst project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based project suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments. Project Objective: The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of e-commerce platforms. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key Responsibilities – Evaluate the relevance of product search resu...

I need a concise, insight-driven study that uncovers why retirees choose—or reject—buying a retirement property in Ipoh, Malaysia. The goal is to map customer preferences across three dimensions: economic (price points, cost of living, tax incentives), social (community feel, healthcare access, lifestyle amenities) and geographical (climate, connectivity, neighbourhood safety). To get a rounded picture, combine both primary and secondary research. For the primary side, I’m thinking structured interviews or surveys with recent and prospective retiree buyers, but I’m open to your recommended mix and sample size. For secondary work, tap into government housing data, real-estate market reports, demographic studies and any reputable consumer insight databases you can ...

Hello I have a project, I have a code in pycharm. This code should give me the energy yield for PV panels in 4 cities: Riyadh, Tabuk, Dammam, and Jeddah Also it should give me the following 1- EY without cooling and pv cell temperature 2- EY with PCM and % of increase in the EY and pv cell temperature 3- EY with fins and % of increase in the EY and pv cell temperature 4- EY with PCM + Fins and % of increase in the EY and pv cell temperature

A candidate is in final consideration for a key role and I need a clear, fully sourced picture of how they present themselves across public-facing forums. Your task is to trace the individual’s activity in public records, specialist forums, and, most importantly, Reddit, then evaluate the tone, topics, and patterns that reflect on their social behaviour and interactions. You will apply your preferred OSINT tools—Google dorking, Wayback Machine, advanced Reddit search operators, and similar resources—to locate posts, comments, and any publicly cached content that may no longer be live. I expect context, not just links, so please look for recurring themes, language, community reception, and any indicators of potential reputational risk. Deliverables • A comprehensi...

I need a fully developed Ishikawa fishbone diagram that dissects one of our key processes down to its smallest contributing factors. The goal is strict process analysis—not a general quality-control overview—so every branch has to drill deep until each cause can be actioned or measured. The diagram must explore the Manpower, Methods, and Materials branches in detail, layering sub-causes as far as the data allows. You may build it in Visio, Lucidchart, Minitab, or any comparable tool as long as the final files arrive in both editable (source) and high-resolution PDF formats. Deliverables • A process-specific fishbone diagram with exhaustive sub-causes under Manpower, Methods, and Materials • Source file in the native tool format plus a print-ready PDF • A ...

I need a clear, publish-ready narrative review that maps how artificial intelligence is currently being used to predict clinical outcomes after fracture-related orthopaedic trauma. The manuscript must keep the spotlight on clinical endpoints—specifically healing time, complication rates, functional recovery, mortality, surgical-site infection (SSI), and fracture union—and discuss how well different AI approaches actually forecast those results. Scope • Search and screen the literature (PubMed, Embase, Scopus, Web of Science, Google Scholar) for studies on AI, machine learning, or deep learning models applied to fractures. • Extract and synthesise study designs, patient cohorts, input variables, algorithms, performance metrics (AUC, accuracy, sensitivity, specific...

I have two independent problems that need to be modelled and analysed: one must be built in Arena Simulation 2022, the other in Simio. Both scenarios are already written up in a text document—one covers a manufacturing-line flow and the other tackles a logistics / supply-chain operation—so you can jump straight into modelling without guessing the requirements. What I need from you is the complete, runnable model for each package, plus the key performance outputs that prove the logic is working (utilisation, throughput, queue times, and any other metrics the software generates by default). A short write-up that explains your assumptions, the experimentation settings you used, and a summary of the results will finish the job. Deliverables • Arena 2022 .doe (or .a22) file w...

I have two independent problems that need to be modelled and analysed: one must be built in Arena Simulation 2022, the other in Simio. Both scenarios are already written up in a text document—one covers a manufacturing-line flow and the other tackles a logistics / supply-chain operation—so you can jump straight into modelling without guessing the requirements. What I need from you is the complete, runnable model for each package, plus the key performance outputs that prove the logic is working (utilisation, throughput, queue times, and any other metrics the software generates by default). A short write-up that explains your assumptions, the experimentation settings you used, and a summary of the results will finish the job. Deliverables • Arena 2022 .doe (or .a22) file w...

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I am in the final stretch of an applied-mathematics paper centred on inferential statistical analysis carried out in Python, and I want to push it over the line to journal-ready quality. The dataset is already cleaned and the preliminary models are coded; what I need now is a skilled collaborator who can tighten both the analytics and the manuscript itself. Here’s what the assignment looks like from my side: • Review and, where necessary, refine the existing inferential tests and mathematical modelling logic in the Python notebook (NumPy, SciPy, pandas, statsmodels are already in use). • Generate publication-grade visualisations and summary tables that meet typical journal standards. • Suggest and implement any additional, defensible statistical checks that stren...

I'm seeking assistance in crafting an IB Math Internal Assessment. The focus is on statistical analysis related to the volcanic eruptions of three volcanoes. Requirements: - In-depth statistical analysis - Application of relevant mathematical concepts - Clear and coherent presentation of findings - Adherence to IB guidelines and criteria Ideal Skills: - Strong background in IB Mathematics - Expertise in statistical methods - Experience with IB Internal Assessments - Excellent analytical and writing skills Please create a minimum 2000 words Research paper on: Model the Likelihood and Timing of Explosive Volcanic Eruptions Using Probability Distributions and Stochastic Processes CHOSEN VOLCANOES; Mount Etna, Kilauea, Sakurajima

I am preparing a full meta-analysis to quantify and compare the effectiveness of current osteoarthritis treatments. The end goal is published article to a peer-reviewed journal, complete with transparent methodology and publication-quality figures. Scope of work • Draft a brief protocol (PRISMA-aligned) and register it in PROSPERO before we begin. • Conduct a comprehensive literature search across MEDLINE, Embase, Cochrane Library, and any other database you believe will improve coverage. • Screen studies against predefined inclusion criteria, extract the required outcome data, and assess risk of bias. • Pool effect sizes using random- or fixed-effects models as appropriate. I am happy for you to work in R (meta/metafor), Stata, or RevMan—just keep the code o...

I am preparing a full meta-analysis to quantify and compare the effectiveness of current osteoarthritis treatments. The end goal is published article to a peer-reviewed journal, complete with transparent methodology and publication-quality figures. Scope of work • Draft a brief protocol (PRISMA-aligned) and register it in PROSPERO before we begin. • Conduct a comprehensive literature search across MEDLINE, Embase, Cochrane Library, and any other database you believe will improve coverage. • Screen studies against predefined inclusion criteria, extract the required outcome data, and assess risk of bias. • Pool effect sizes using random- or fixed-effects models as appropriate. I am happy for you to work in R (meta/metafor), Stata, or RevMan—just keep the code o...

I'm seeking an expert to assist with data analysis for my research paper in applied mathematics, statistics, and data analytics within the Science and Technology domain. Key Requirements: - Expertise in applied mathematics, statistics, and data analytics. - Proficiency in data analysis tools and software. - Ability to interpret complex data sets and provide clear insights. - Experience with research papers in a scientific context is a plus. Ideal Skills: - Strong analytical skills - Attention to detail - Experience with literature reviews and theoretical frameworks (optional but beneficial) Please provide relevant work experience and any samples if available.

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I’m launching a new skincare line focused exclusively on serums and I’m looking for a chemist with at least seven years of hands-on cosmetic formulation experience to create the core formulas. The priority is a set of stable, skin-safe, and scalable serum formulations that can move straight from the bench to pilot production without extensive re-work. You’ll take the briefed performance goals and translate them into complete formula sheets, including ingredient percentages, processing steps, recommended preservatives, pH targets, and any required chelating or stabilising systems. A solid grasp of modern actives, rheology modifiers, and clean-beauty compliant emulsifiers is essential, as is familiarity with ISO 22716/GMP, stability testing, microbial challenge testing, an...

I'm seeking a coauthor for AI research papers in Natural Language Processing. This is an urgent project. Clear expectation : should have published in IEEE , Scincedirect , springer , any Q1 journals . verifiable . I will pay the full APC for publication , and compensate co author . coauthoer name will be also part of publication Ideal skills and experience: - Expertise in NLP - Strong research background - Experience publishing academic papers - Ability to collaborate effectively Looking forward to your bids!

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I am looking for a complete ready Electrical engineering: Electric Vehicle battery related PhD project package that includes all essential research components required for successful PhD submission and evaluation. The project should be well-structured, original, and aligned with current research standards. Specifically, I need the following: 1. Full PhD Project/Thesis • Complete research work with clear objectives, methodology, data analysis, findings, and conclusion • Proper formatting as per university guidelines • Plagiarism-free content with high academic quality 2. Two Scopus-Indexed Research Papers • Research papers written according to Scopus journal format • Proper abstract, keywords, literature review, methodology, results, references • Assist...

I'm looking for a skilled data scientist to predict housing prices using a supervised machine learning approach. Key tasks include: - Load and explore the housing dataset - Preprocess data: - Encode categorical variables using label encoding - Handle missing values by imputing with mean or median - Split into training and testing sets - Train a Linear Regression model - Evaluate performance and visualize results Key features include area and number of bedrooms. Ideal skills and experience: - Proficiency in Python and libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn - Strong background in machine learning, particularly regression models - Experience in data preprocessing and handling missing values

I have a single CSV dataset. Please work entirely in R to make a cluster analysis and association rules.

Project for Almoeeni We are looking for a LLM Developer to train our AI system Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (R...

I have a raw dataset sitting in a database that I need turned into clear, insight-ready material. The first step is a Python script that connects directly to the source, pulls the data, and cleans it—handling missing values, outliers, and any structural quirks. Once the data is tidy, I want a short write-up that spells out the final sample size and the key variables you kept or engineered so my team can reproduce the work. From there, the focus shifts to trends. I’m particularly interested in consumer preference patterns over time, but I also want you to surface any other meaningful movements the data reveals. Use pandas with libraries such as seaborn, matplotlib, or Plotly to build a set of crisp, publication-quality visuals—line charts, heat maps, and whatever else bes...

Budget: $50 Time Estimate: 2-3 hours Conduct an analysis of airline customer satisfaction survey data to help identify areas for improvement in customer experience. The analysis should summarize satisfaction scores across various service areas, identify trends, and provide actionable insights for enhancing service quality. You may use either Google Sheets or Excel. Key Requirements: 1- Data Cleaning and Analysis: Clean and organize the dataset, then calculate average satisfaction scores across different service areas (e.g., Seat Comfort, Inflight Entertainment, Leg Room Service). Identify service areas with the highest and lowest scores and filter responses based on customer types (e.g., Business or Personal Travel). 2- Visualization: - Create a bar chart showing average satisfaction sco...

Price: $50 Time estimate: 1 - 2 hours We are a digital marketing agency seeking a data analyst to create a Power BI dashboard to track the performance of our email and social media campaigns over the past six months. Our goal is to evaluate which campaigns drive the most customer purchases and analyze channel performance over time to fine tune our strategy for the second half of the year. We want visuals focusing on four key areas: Return on Investment (ROI), Conversion Rates, Audience Engagement, and Channel Performance. We need someone skilled in structuring data, creating dynamic and insightful Power BI dashboards, and providing clear documentation. Deliverables: 1- A PowerBI desktop file (.pbix) with a professional looking dashboard (ideally 1 page) with: - ROI by campaign -...

My priority is a dependable forecasting and alert routine that zeroes in on storm and flood threats, then translates the data into a concise weekly report focused on clear safety recommendations. I need each report delivered the same day every week, no later than 10 AM local time, in language a non-technical audience can act on immediately. While the essential content is those safety guidelines, I’m happy for you to weave in brief context graphic snapshots, short notes on weather patterns or likely impact zones if it helps reinforce the message. Just keep the document lean: two to three pages in PDF format. You may pull data from any reliable sources (NOAA, ECMWF, local river-gauge feeds) and process it with the tools you know best Python, R, ArcGIS Online, even a streamlined Excel...

I’m at the model-building stage of a Bayesian project and need a short, focused consultation with someone who knows PyMC inside out. The aim is to shape the model architecture, choose sensible priors and likelihoods, and confirm that my sampling strategy will converge cleanly. I already have the data prepared and a rough notebook in place; what’s missing is expert feedback that can save me from identifiability issues, divergent transitions, or unnecessary computational cost. Ideally we’ll share screens (or code) for a live walkthrough, refine the model together, then wrap up with a brief written summary or an annotated notebook so I can keep iterating confidently on my own. If you have a strong track record building PyMC models and enjoy explaining the why as well as the...

Over the next few months I will be commissioning a series of research projects that need a writer who lives in, or has deep familiarity with, Malaysia. Subjects vary—social issues, emerging technology, and healthcare regulation are common themes—so the brief can swing from a tight literature review to a market-sized data analysis or a full-scale academic report. The core task is to take a research question I supply, locate and evaluate credible Bahasa Malaysia and English sources (journals, government data sets, industry papers, news archives), then distill the findings into clear, well-structured English. Proper citation (APA or Harvard) and an executive summary are always required; charts or basic statistical outputs may be requested when the data supports it. Typical workf...

I’m looking for an experienced academic writer with a completed PhD to help develop three publishable social science manuscripts that will form a full PhD thesis. Total length is about fifty thousand words. You’ll work from clear outlines, notes, and ongoing guidance from me. Target pace is one manuscript per month. ***Please share your ResearchGate or other research profile link. Do not apply if you do not hold a PhD*** Project themes Extension as a mechanism for farmer resilience in the face of socio ecological pressures in the Chittagong Hill Tracts How modern AEAS should respond to socio ecological pressures in marginalized farming communities Socio ecological pressures and responses among traditional farmers in the Chittagong Hill Tracts The work centers on agricultural...

I need an academically rigorous essay that explains core quantitative research models and then zeroes-in on hypothesis testing. After setting the theoretical scene, the paper should walk the reader through how hypothesis testing operates inside three common procedures—t-test, ANOVA and the Chi-square test—showing when each test is appropriate, the assumptions it rests on, and how results are interpreted in practice. Scope • 1500 words, APA 7th edition throughout • Recent peer-reviewed sources (minimum eight) to anchor the discussion • Clear examples or mini-case scenarios that illustrate each test; feel free to reference software outputs from SPSS, R or Excel if that strengthens the explanation Deliverables 1. Word document (or Google Doc) with all cita...

I’m midway through an AI-focused case study that poses four separate questions on tackling a categorical-data regression problem. The work is not tied to a particular industry such as healthcare, finance, or marketing; it sits squarely in the broader AI domain itself, with the goal of demonstrating sound methodology, clear reasoning, and reproducible results. Here’s what I need from you: • Four concise, fully worked-through answers—one per question—covering data preparation, model choice, training, evaluation, and interpretation. • Any Python code (NumPy, pandas, scikit-learn, or similar) used to reach the answers, commented well enough for me to rerun and tweak. • A brief explanation of why regression on purely categorical features was approach...

Write a technical journal paper in machine learning

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I have spent the last six years sharing Indian stock-market insights on Twitter and now want to formalise that work. The goal is to turn my proprietary sentiment model—built on 20+ years of raw NSE data—into a fully automated workflow that produces numerical tables for Nifty, Bank Nifty and the most actively traded stocks, refreshed on a daily, weekly and monthly basis. My method has nothing to do with the usual Moving Average, RSI or Bollinger Band playbooks. I’ll give you the exact formulas once we sign an NDA; your task is to turn those rules into repeatable code, pull fresh data from (or an equivalent authorised source) and deliver clean CSV/Excel tables that are ready for immediate publishing. Key deliverables • Data pipeline that fetches historical and new...

I need a well-structured MBA-level research paper that investigates how employee salaries in India’s finance sector—specifically within large companies—are effecting Your work should combine current academic literature with fresh primary or secondary data so we can explain which macro-economic drivers, regulatory moves, talent-supply shifts, and firm-level policies are having the greatest impact on pay. A clear methodological section, solid statistical analysis (SPSS, R or Python—your choice), and properly formatted APA citations are essential. Acceptance criteria and deliverables • 7,000–8,000 word paper in editable Word format • Executive summary, introduction, literature review, methodology, findings, discussion, recommendations, reference...

I am at the data-analysis stage of my undergraduate thesis and need focused help with descriptive statistics. My dataset combines numeric and categorical variables, already compiled in Excel and accompanied by a simple codebook. What I expect from you: • Clean the raw data and flag any issues that might bias the results. • Run the full set of descriptive statistics—frequencies, percentages, means, medians, standard deviations, and cross-tabulations that answer my stated research questions. • Create clear visual summaries such as bar charts, pie charts, and histograms that I can drop straight into Chapter IV. • Provide a concise narrative (in Indonesian) that explains each table and figure in context with my methodology. Preferred tools are SPSS or R, but I...

I am conducting a research study that relies on Partial Least Squares Structural Equation Modeling and I want to carry it out entirely in SmartPLS. I already have my conceptual framework sketched and most of the survey data collected, but I need a seasoned SmartPLS user to guide me through the software, fine-tune the model, run the analyses, and explain the output in plain language so I can report it confidently. What I expect from you: • A cleaned, fully specified SmartPLS project file with measurement and structural models correctly set up • Clear, step-by-step explanations of the statistics (loadings, AVE, CR, HTMT, path coefficients, R², effect sizes, predictive relevance) so I understand how each number supports—or challenges—my hypotheses • Well-f...

My priority is a dependable forecasting and alert routine that zeroes in on storm and flood threats, then translates the data into a concise weekly report focused on clear safety recommendations. I need each report delivered the same day every week, no later than 10 AM local time, in language a non-technical audience can act on immediately. While the essential content is those safety guidelines, I’m happy for you to weave in brief context graphic snapshots, short notes on weather patterns or likely impact zones if it helps reinforce the message. Just keep the document lean: two to three pages in PDF format. You may pull data from any reliable sources (NOAA, ECMWF, local river-gauge feeds) and process it with the tools you know best Python, R, ArcGIS Online, even a streamlined Excel...

I have a research dataset ready and would like a seasoned SmartPLS user to handle the full analysis cycle inside the software. I will share the raw data, research questions, and any model specifications I already have; what I need from you is the technical execution, clear interpretation, and well-formatted output that I can drop straight into my paper. The workflow I envision starts with importing the data, building or refining the measurement model, testing reliability and validity, and then estimating the structural model with bootstrapping for significance levels. I am especially interested in clean tables of path coefficients, loadings, AVE, CR, R², and model fit, along with a concise narrative explaining what each result means for my hypotheses. Deliverables I must receive: ...

I need assistance with my thesis chapters. More details will be shared.

I have a raw export of our sales transactions that flags every item returned by SKU, date, channel, and customer. My goal is to turn those rows of numbers into a clear picture of how each product is really performing, with return rates as the main metric. I need you to clean the data, calculate accurate return-rate percentages at SKU and category level, and surface any patterns—seasonal spikes, channel-specific issues, or correlations with shipping times—that explain why certain items come back more often than others. Once the patterns are uncovered, translate them into plain-English insights I can hand straight to the merchandising team. Charts in Excel or Power BI are fine; if you prefer Python/Pandas or R, that works too as long as the workbook or notebook is included. ...