Clean Mixed Spreadsheet Data Set

@irsolutions

With over 10 years of experience in data manipulation and spreadsheet clean-up, I understand the importance of ensuring your data is accurate and well-structured for analysis. Your project to clean mixed spreadsheet data sets aligns perfectly with my expertise in this area. I have successfully tackled similar tasks in the past, working with a variety of spreadsheets containing text and numerical fields. By identifying and correcting inconsistencies, removing duplicates, and standardizing formats, I can ensure your data is clean and ready for analysis. My proficiency in tools such as Excel, Google Sheets, and Python (pandas) allows me to efficiently handle this task while providing a detailed log of the key issues and solutions implemented. My track record in data manipulation and cleaning spans across various industries, including fintech, eCommerce, and healthcare, where accuracy and precision are paramount. I am confident that I can deliver the results you are looking for within your budget and timeline. Feel free to reach out to discuss your project further and how I can assist you in achieving your data cleaning goals.

@gigadevca

Hello and thank you for posting. As per my discussion with FL staff, I’d be happy to help with this task and am placing my bid. I’m located in Tracy CA.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Data Processing, Data Entry, Excel, Data Cleansing, Data Analysis, Google Sheets, Data Management and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@SkillCrafts

I have managed numerous data audits where mixed datasets—specifically those combining irregular text strings with inconsistent numerical formatting—posed significant barriers to analysis. Recently, I executed a complex cleansing project for a firm, standardizing a multi-sheet system with over 40,000 rows of fragmented descriptions and financial figures, ensuring 100% integrity for their reporting. Your project requires a meticulous approach to ensure the relationship between qualitative text and quantitative metrics remains intact while eliminating the noise and formatting errors that typically plague mixed datasets. To tackle your spreadsheets, I will implement a workflow centered on data normalization. I will utilize Python’s Pandas library or Power Query to automate the removal of non-printing characters, trailing whitespaces, and inconsistent casing across text fields. For numerical components, I will apply type-casting to ensure all entries are strictly numeric, correcting "numbers stored as text" and standardizing decimal precision. Finally, I will conduct a deduplication and outlier detection sweep, ensuring your sheets are consolidated into a clean structure optimized for any future pivot tables or database imports. Do you have specific naming conventions I should follow for the text fields to ensure consistency across the sheets? I am available to discuss your data architecture and desired output format today to ensure we align on technical requirements; feel free to reach out if you’d like to hop on a quick call or message me here to review a sample of the data and finalize the scope.

@Hubready

Hello!, This is James from Hollywood. I carefully read your project description about cleaning mixed spreadsheet data sets, and I'm excited about the opportunity to assist you. With over 15 years of experience in data processing, Python, and Excel, I have the expertise to deliver a thorough and efficient cleaning process. To ensure I fully understand your needs, could you please clarify the following questions to help me better understand the project? 1. Are there specific criteria or formats you want for the cleaned data? 2. How many spreadsheets are we working with, and what is their average size? 3. Do you have a preferred deadline for this task? My approach will involve first assessing the data quality, followed by implementing a structured cleaning strategy that includes removing duplicates, correcting inconsistencies, and formatting the data for easy access. I believe this will help you achieve a cleaner dataset that meets your objectives. Let’s collaborate to get your spreadsheets in top shape! I look forward to discussing this further.

@amindau2

Prior experience and looking for opportunities to grow my skills. Willing to submit resume. Currently pursuing a bachelor’s degree in software engineering and looking for IT experience.

@nakisisa

As a versatile professional who has honed my skills in various fields including your needs in Data Entry and Management, I am ready to impeccably clean your mixed spreadsheet data set. My experience as a Business Analyst and Web Developer has equipped me with an eye for detail and the ability to spot inconsistencies, duplicates, and entry errors. I will ensure that every numerical field is accurately entered, formats are standardized (dates, currencies, labels), and outliers are flagged for your review. I am well versed in using Excel, Google Sheets, Power Query, and Python (pandas). I aim to provide you with tidy and well-structured spreadsheets that are ready for immediate analysis in your preferred format. Additionally, being thorough and resourceful in my work, I will also provide you with a detailed log or summary of the key issues found and how they were resolved along the way. Although my career path may seem veering off, my experience creating AI Music Videos entails manipulating vast amounts of data effectively - at times which are face-paced. Hence, I am capable of delivering quality work even with time restraints. In summary, with me overseeing your project you're guaranteed meticulous attention to detail and an outcome that not only eradicates all data quality issues but enlightens you on all changes made as well!

@mauricio2108

I have written a Jupyter notebook to do this work. All organized in a way that you can rerun it by yourself over and over again, with as many spreadsheets as you want. It's not a cleaning job. It's a process development that allows you future automation and full replication. I'm confident you will have your ROI in two or three runs. Hour count TBD when I have access to the files, but this proposal entails: - review the files - recommend cleaning approach - validation of the cleaning and deduplication rules - development and test with sample data - run and validate with final spreadsheet (including fixes and adjustments) - training to run and proposal for automation I look forward to hear back from you!

@justhivedata

Hey, Looks like a straightforward but important cleanup job — the kind where getting the details right actually matters for whatever analysis comes after. I work through these column by column: standardize formats first (dates, currencies, labels), then handle duplicates carefully so nothing gets lost that shouldn't, and flag anything unusual for your review rather than just deleting it. The change log will be plain English — what I found, what I did, why. Easy to read, easy to verify. Happy to use Python, Excel, or whatever works best for you on the final files. What's the size of the dataset? Just want to give you an honest time estimate before we start.

@ArslanMunirIT

Hello, I can help clean and standardize your spreadsheets so they’re accurate, consistent, and ready for analysis. I have experience working with Excel, Google Sheets, Power Query, and Python (pandas) to handle datasets with mixed text and numerical fields. I focus on delivering structured, reliable data with full transparency. What I’ll do: Fix inconsistencies and data entry errors Remove duplicates Standardize formats (dates, currencies, categories) Clean and normalize text fields Identify and flag outliers Deliverables: Clean, well-structured spreadsheets A summary report outlining issues found, fixes applied, and flagged items I work methodically and communicate clearly throughout the process. Happy to review a sample file to estimate scope and timeline. Best regards, Arslan

@jothimeenaeee

Aspiring Data Analyst with experience in Microsoft Power BI, MySQL, Microsoft Azure, and Microsoft Fabric. Skilled in querying databases, building interactive dashboards, and transforming raw data into meaningful insights. Passionate about leveraging data analytics and cloud platforms to support data-driven decision-making.

@Evelynative

Hello! Thank you for posting. I have over 5 years of experience in data processing and analysis. I’m glad to help with this task. I’ll clean the data thoroughly and flag outliers for further analysis. I’ll also provide a change log summary with key issues, solutions, and advice on standardizing the data-cleaning SOP for similar spreadsheets.

@oksanaplatonova

Hello, For the first level of clean-up: I am going to format columns/rows to the proper data type; check for missing values, errors, and misspellings; remove duplicate values; and find outliers. Depending on the size of the datasets, I can use Excel, Google Sheets, or Python. Hope you find the best candidate for your project. Oksana

@mariavaleriaa

I have extensive experience handling similar projects involving spreadsheets with both text and numerical data. In past assignments, I have successfully identified and corrected inconsistencies, removed duplicates, standardized formatting, and ensured datasets were fully prepared for accurate analysis. My proficiency with Excel, Google Sheets, and Python (including pandas) enables me to process data efficiently while also providing a clear, organized log documenting key issues identified and the solutions applied. My approach will begin with a thorough assessment of the data quality, followed by a structured cleaning plan. This will include removing duplicate entries, resolving inconsistencies, standardizing formats, and ensuring the final dataset is easy to navigate and ready for downstream use. I am confident that this process will result in a clean, reliable dataset that supports your objectives. Before finalizing my bid, I would appreciate clarification on a few points: Scope: Approximately how many spreadsheets are included, and what is the estimated total number of rows and columns? File Handling: Would you like the original raw files preserved exactly as delivered, with cleaned versions provided separately? Standards: Do you have preferred standards for date formats, currency symbols/precision, or naming conventions for categorical fields?