ODB Buildings Data to Excel -- 2

@dissanayakepvt

Hello, I can efficiently extract the ODB data from Statistics Canada and compile it into a clean .xlsx workbook, including all requested building types across provinces and cities. I will ensure that all relevant fields are included, with lookup tables resolved for clarity. The final file will be filter-ready, and I will provide any scripts or queries used for the extraction. If this aligns with your needs, I’d be glad to discuss details and start right away. Best regards, Sujeewa, GISPromo IT Solutions

@paulmd369

need the entire dataset— every province, every building— exported into a single, clean .xlsx workbook. In addition, I will need to have every Residential low, medium and high-rise building in the Country.

@DedicatedVA

We can extract, clean, and consolidate the entire ODB dataset of non-residential buildings across Canada, along with all residential low-, medium-, and high-rise buildings, into a single, filter-ready Excel workbook. Using a combination of SQL, Python (pandas), and Power Query or LibreOffice Base, we’ll preserve all original fields—including building name, full address, city, province, latitude, longitude, number of floors, and any additional columns—while resolving lookup tables so all values are human-readable. The workflow will include automated scripts to allow re-extraction and flexible addition of new columns in the future. Can you share whether the residential building data beyond the ODB (low-, medium-, high-rise) is already partially compiled, or should we source it entirely via supplementary research and scraping to ensure full coverage?

@hassannaweed4

With an impressive knowledge of data processing and Python, I'm confident in my ability to not only deliver the clean, organized .xlsx file you need but also provide you with detailed code and queries used for export for future reference and updates. My deep grasp on data management strategies, and experience handling vast datasets make me the perfect fit for this task. I've previously worked on similar projects where I've converted complex database systems into user-friendly formats. Since I hold a Master’s in Software Engineering and specialize in AI-powered applications, my skills can be immensely useful should you need any scraping or auxiliary sources of information. I'll produce an accurate dataset that's easy to sort, filter, and map all while preserving the integrity of the original data - a crucial requirement from your end. Lastly, what makes me different is my comprehensive approach towards product development -- from functionality to aesthetics, and my motivation not only to meet but exceed client expectations. You can trust me to go above and beyond to ensure your dataset is error-free and completely aligned with your specific needs. Let's make this conversion both smooth and impactful!

@denisSolution

Hello client, I'm Denis Redzepovic, an experienced developer with expertise in Cartography & Maps, Data Integration, Data Management, Data Analysis, Instagram Marketing, Geospatial, Python, Excel and Data Processing. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@faisal9263

Hello, I am very interested in assisting with your ODB database extraction and understand you need a complete, clean, and filter-ready Excel workbook of all Canadian buildings. I have expertise in data extraction, cleaning, and Excel, as well as experience with Python, SQL, and Power Query for complex dataset transformations. I will start by exporting all non-residential and residential buildings from the ODB and additional sources, ensuring every field is preserved, addresses and lat/long are accurate, and lookup tables are fully resolved. I will consolidate all data into a single master sheet with auto-filters, deliver the cleaned workbook, and provide any scripts used for future updates. I am ready to start immediately and ensure reliable, accurate, and timely delivery.

@brayanstiven5

Hi, there, I have vast experience in geospatial data processing, Python scripting, and data analysis, making me a perfect fit for this project. I will efficiently extract the ODB database from Statistics Canada, segregate the low, medium, and high-rise residential buildings, and compile them into a structured .xlsx workbook. ✅ Leveraging Python scripts, I will ensure a seamless data extraction and integration process, preserving all necessary details like building name, address, city, province, latitude, longitude, and floor information. ✅ I will meticulously organize the data by province and city on a master sheet, implementing an auto-filter row for convenient data manipulation. ✅ Handling lookup tables professionally, I will ensure a human-readable format with resolved foreign-key IDs, providing you with a comprehensive dataset for immediate use. ✅ I will include transformation scripts for transparency, enabling easy re-execution of the process with updated releases, ensuring the flexibility you need for future enhancements. ✅ Throughout the project, I will maintain a responsive workflow to accommodate any additional columns or modifications you may require, delivering a clean, filter-ready .xlsx file and all relevant code for your acceptance.

@Sohail748

I'm offering a 25% discount on this project. With experience in data extraction and formatting, I will extract buildings data from ODB (Open Database) sources or structured files and compile it into a clean, organized Excel spreadsheet—ready for analysis, reporting, or further processing. I'll start by reviewing your ODB data source, required fields (e.g., address, coordinates, year built, occupancy type), and output specifications. Using Python, SQL, or dedicated conversion tools, I will parse the data, remove duplicates, standardize entries, and export it into a well‑structured Excel workbook with labeled columns, filters, and optional summaries or charts. You'll receive an easy‑to‑navigate Excel file with the buildings data you need, along with a brief methodology report. Let's turn raw building data into actionable insights. Best regards, Sohail

@ajamshad162

As a certified data analyst with extensive experience in Data Analysis, Integration and Processing, I have successfully completed over 50 projects similar to yours, making me an ideal fit for your ODB Buildings Data to Excel project. I'm highly proficient in using various tools like Excel, Python, LibreOffice Base, SQL and Power Query to develop accurate and efficient data conversion processes. Your project seems challenging yet interesting - a perfect opportunity for me to showcase my skills. One of my key strengths lies in my ability to handle large datasets while ensuring that the information is clean, filtered, and instantly accessible. With this approach, I will not only create a comprehensive .xlsx file having every building in Canada but also empower it with an interactive auto-filter row enabling instant sorting and slicing. Importantly, I understand the value of preserving latent information during data conversions due to the possibility of future updates. That's why I assure you I will maintain both the full address string and precise lat/long coordinates intact, so you can easily map or geocode when needed. Lastly, transparency is one of my core values. In line with this belief, along with delivering a clean .xlsx file ready for use, I will also present you with any code or query used for the export/conversion process.

@Lincolnwhiz

Having deep experience in data analysis and processing, I am more than equipped to handle your project to extract the extensive ODB database from the Statistics Canada page into a clean, organized Excel workbook. With each project of this nature, I've ensured to adhere to client requirements down to the letter. not only will I extract the data you require but l can cross-reference with additional researched sources for Residential low, medium, and high-rise buildings specifically in Canada. When constructing this master sheet, rest assured that all fields and any necessary lookup tables will be included from the original ODB file and source website format. This guarantees a human-readable, filter-ready .xlsx file with all needed details such as building name (if present), street address, city, province, latitude, longitude, number of floors, and others that appear in the original file. Additionally, in consideration of potential future changes and the data's currency from updated releases on the source page,this workflow will be flexible enough to accommodate quick re-extracts. I look forward to implementing my skill set to provide the accurate and smooth conversion you seek

@munibs1

Hello, I understand you need the full ODB dataset, sourced from Statistics Canada and other research, to be exported into a clean .xlsx workbook. The goal is to consolidate data on non-residential and residential buildings (low, medium, and high-rise) across all provinces and cities, preserving both full address and latitude/longitude for future geocoding. Solution: - Data Extraction & Cleaning: I will extract and clean the dataset, ensuring all columns are included and human-readable, with lookup tables resolved for clarity. - Data Organization: I will combine all records into one master sheet with an auto-filter row, allowing you to easily sort and slice the data by province, city, building type, and other fields. - Residential Buildings: I will source and integrate data on residential buildings, focusing on low-rise buildings (4+ floors) and other segments, researching additional sources as needed. - Flexible Workflow: If you need to add more columns later, I’ll keep the workflow flexible for easy re-extraction with updated releases. - Deliverables: Clean .xlsx file, along with any scripts or queries used in the process. I’ll ensure accuracy, flexibility, and a smooth conversion. Looking forward to working together! Best regards, Munib S.

@GraphicsHub2k24

Dedicated Freelancer Ready to Elevate Your Project for ODB Buildings Data to Excel -- 2. I have a solid background in Data Management, Data Analysis, Excel, Instagram Marketing, Python, Data Integration, Geospatial, Data Processing and Cartography & Maps, I bring valuable expertise to your project. I have successfully completed many projects with 100% client satisfaction. Clear and timely communication is my priority. I believe in keeping you informed throughout the project lifecycle. I am available for a discussion at your earliest convenience. Please feel free to contact me to further discuss your project details. Thank you for considering my bid. I am excited about the opportunity to contribute to the success of your project. Please visit my portfolio to check my previous work samples, here - https://www.freelancer.com/u/GraphicsHub2k24?page=portfolio&w=f&ngsw-bypass= Best regards, Muhammad Asim Khan

@mdabu38

I can deliver a complete, clean, filter-ready .xlsx workbook containing every non-residential and residential (low, medium, high-rise) building across Canada, organized by province and city. I’ll fully export and normalize the Statistics Canada ODB, resolve all lookup tables into human-readable fields, preserve full addresses + latitude/longitude, and include all original columns. For residential buildings, I’ll research and integrate additional verified sources as required. You’ll receive: One master Excel sheet with auto-filters enabled Accurate, structured data ready for mapping and analysis All scripts/queries used (Python/SQL/Power Query, as needed) so the process is fully repeatable and future-proof Accuracy, completeness, and a smooth handover are guaranteed. Ready to start immediately.

@jesica46

Hello there, As an experienced researcher and data scientist, data analyst, my qualitative analysis skills perfectly align with your job requirements. My profound knowledge of Python and R Studio guarantees fast learning and adaptation to new tools. Moreover, my advanced skills in Excel make me highly competent in handling large datasets efficiently—making me proficient in extracting the best insights from your transcripts. I fully comprehend the importance of working papers and meticulously preparing financial statements, especially within strict timelines. my sharp analytical skills and extensive knowledge of excel ensure that I leave no stone unturned in making sure every detail is covered under evaluation. My passion for quality, originality and meeting deadlines makes me an excellent choice for this project. I cannot wait to prove my extensive skills to you through providing actionable insights that will help guide your decision making regarding domestic charter flights. Best Regards

@XD12jalandhar

As mentioned in my profile, I have extensive experience as a website designer and developer. Specifically, I have significant tenure working with Python which is directly in line with the data scraping and extraction nature of this project. I have executed many similar projects over my 12+ years career where I handled multiple large database works like this and ensured the deliveryable was clean, filter-ready, and highly useful. Moreover, I fully understand your expectation for a structured document and a workflow flexible enough to handle future adjustments. Alongside supplying the requested .xlsx workbook with all comprehensive building data in Canada (as well as code prompts), I also treasure on fostering long-term relationships so rest assured that I'll be available for consultation or further data manipulations if required even post-project completion. In essence, my goal is to breathe life into your information by presenting it in an organized accessible format. Thus, choosing me ensures not just efficiency but also a promise of your project being completed with a keen eye for detail and utmost precision. Thank you once again for considering my candidacy and let's get started on bringing your vision into reality!

@yacinebsd

I have extensive experience working with large-scale datasets, Python, and Excel automation. I understand your need to extract all non-residential and residential buildings across Canada, clean and merge the data, preserve all fields (including addresses and lat/long), and deliver a fully filterable Excel workbook. In a nutshell, here’s how I’ll handle the project: Extract data from the ODB database and Statistics Canada sources, including additional research for low, medium, and high-rise residential buildings. Resolve any lookup tables and merge all records into a single master sheet with explicit, human-readable values. Maintain full address strings and latitude/longitude for mapping/geocoding purposes. Deliver a clean, filter-ready Excel file and provide the Python/SQL scripts so you can re-run the workflow if updates are released. I can start immediately and ensure accuracy and flexibility for any future column additions. I’d be happy to provide a quick demo of the workflow or a sample extract to confirm the approach. Looking forward to discussing this further!

@Hemantt841

With 7 years of experience in data management, I am the best fit to complete this requirement. I have the relevant skills to extract the ODB Buildings Data to Excel as per your project description. How I will complete this project: - Extract data from the ODB database and additional researched sources - Consolidate all non-residential and residential buildings data into a single .xlsx workbook - Include necessary fields like building name, address, city, province, latitude, longitude, number of floors, etc. - Preserve full address string and explicit lat/long coordinates for mapping purposes - Ensure human-readable format by resolving any lookup tables or foreign-key IDs - Develop transformation scripts (Python, LibreOffice Base, SQL, Power Query) for future re-runs - Keep workflow flexible for any future column additions Tech stack I will use: - Python for data extraction and transformation - Excel for data consolidation and formatting - SQL for database querying and management I have worked on similar solutions in the past, guaranteeing a smooth and accurate conversion process. The deliverables will include a clean, filter-ready .xlsx file with every building in Canada and the code/queries used for the export/conversion. I am confident in my ability to deliver the desired outcome for this project. Thank you for considering my proposal.

@jordanrafael7

Hello, I’ve reviewed your ODB Buildings project and I’m confident I can deliver a clean, master Excel workbook containing every non-residential building in Canada plus all residential low-, mid-, and high-rise data sourced from the same suite and additional researched sources. I will consolidate data province-by-province, city-by-city, into a single master sheet with an active auto-filter row for instant sorting and slicing. All essential fields you listed, building name (if present), street address, city, province, latitude, longitude, number of floors, will be included, along with every other column present in the original ODB source tables. I will preserve both full address strings and explicit coordinates to support mapping and geocoding, and I’ll import and join any lookup tables so the sheet is human-readable (no unresolved IDs). Workflow highlights: - Data ingestion from StatsCan ODB and supplementary sources; maintain data provenance and licensing notes. - Data cleaning: normalize field names, handle missing values, and ensure consistent province/city hierarchies. - Master export: one .xlsx workbook with an auto-filter row and a reusable data extraction script (Python, Power Query, or SQL) for easy re-run on updates. - Output: clean, filter-ready workbook plus reusable code/scripts and queries for future refreshes. Deliverables: - Clean, filter-ready .xlsx file with every Canadian building as described - Source code and queries used for the export/conversion - Docu

@saliktechpro

Hey , I just finished reading the job description and I see you are looking for someone experienced in Data Analysis, Instagram Marketing, Geospatial, Excel, Data Processing, Cartography & Maps, Data Integration, Python and Data Management. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Salik.