• Projects -
  • Rating -
  • Rating 473

Budget: 3000 UAH Deadline: 1 day

Hello!
What database are you currently using?
MySQL, PostgreSQL, or another one?

  • Projects 9
  • Rating 5.0
  • Rating 763

Budget: 3000 UAH Deadline: 1 day

Good day!
In general, the task is clear, but for an accurate response regarding deadlines and pricing, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

  • Projects -
  • Rating -
  • Rating 702

Budget: 3000 UAH Deadline: 1 day

Good afternoon.

The category of databases and SQL can be indicated quite correctly if the source archive contains a SQL format dump. However, if there are regular text documents, then the more accurate category would be data processing.

I am ready to unpack your archive and sort the entire database by cities. I will save the final result in a convenient Excel format. I have all the necessary tools for quick and accurate processing of large volumes of information.

Please let me know the current file size for a precise understanding of the scope of work.

  • Projects 4
  • Rating 5.0
  • Rating 1 189

Budget: 3000 UAH Deadline: 2 days

Good day, Rustam!

I will take this task — parse the database and arrange it in Excel by cities. I will do this with a Python script (pandas): I read the source file, clean duplicates, group by cities, and provide the finished .xlsx. I can create either a separate sheet for each city or one sheet with sorting — whichever is more convenient for you to work with further.

To calculate accurately, please let me know:
— in what format is the database currently (CSV / SQL dump / txt / export from CRM)?
— approximately how many records are there and which fields should be kept in the result?

The price is 3000 UAH, I will complete it in 1-2 days after I receive the file. I am ready to share examples of my work in the chat so you can see the quality.

  • Projects -
  • Rating -
  • Rating 553

Budget: 3000 UAH Deadline: 1 day

Good day!
I will unpack the database and compile it into a clean Excel file with a breakdown by cities: a sheet for each city or separate files — whichever is more convenient for you; I will remove duplicates, align phone formats, and standardize city names.

I will do this using Python/pandas, so the volume is not an issue — I bypass the Excel row limit by splitting the data. I have done similar work: collecting and verifying 674 entries from a postal archive for an independent audit (case in my portfolio).
Please send a fragment of the database with 20–30 rows — I will show you a sample result today.

  • Projects 9
  • Rating 4.7
  • Rating 776

Budget: 3000 UAH Deadline: 1 day

Good day! Organizing and sorting databases in Excel is a daily task for me using Python. I can complete it in a day, neatly sorting by cities, without manual hassle. Please let me know what format the source database is currently in and which column to use to determine the city?

  • Projects -
  • Rating -
  • Rating 570

Budget: 3000 UAH Deadline: 1 day

Hello, I need more details regarding the project, but the goal is clear, I am ready to complete it!

Andrey K.
1 298 1
  • Projects 1 302
  • Rating 5.0
  • Rating 105 072

Budget: 3000 UAH Deadline: 1 day

Hello. I am ready to complete the task in Python. Can I take a look at the tables?

  • Projects 151
  • Rating 4.9
  • Rating 11 031

Budget: 3000 UAH Deadline: 1 day

Good day. I would like to receive more details regarding the project. Thank you.

Looking forward to working with you!
  • Projects -
  • Rating -
  • Rating 427

Budget: 3000 UAH Deadline: 1 day

Hello! I am ready to take your database to work and do everything today.

If the database is large, regular Excel may freeze or truncate rows. Therefore, I will unpack and sort your data programmatically through a local database - this guarantees 100% accuracy and no lost rows.

As a result, you will receive neat Excel files: I can either make one file with tabs for each city or separate files for each city (whichever is more convenient for you).

Please let me know in what format your database is currently (CSV, SQL dump, MS Access .mdb format, or something else)?

The budget is fine. Send a test fragment or tell me the format, and I will start working right away!

  • Projects 27
  • Rating 4.9
  • Rating 2 517

Budget: 3000 UAH Deadline: 3 days

Hello, I am ready to start the task! Let's discuss the details in private.

  • Projects -
  • Rating -
  • Rating 421

Budget: 3000 UAH Deadline: 3 days

I have experience working with Excel, large datasets, and their processing. I will unpack the database, sort the information by cities, check the correctness of the structure, and save the result in Excel format (.xlsx).

I guarantee attention to detail, neat formatting, and adherence to agreed deadlines.

  • Projects 33
  • Rating 5.0
  • Rating 3 379

Budget: 2999 UAH Deadline: 1 day

Hello
Do you have an SQL database?
What is its size and how many tables are inside that you know of?
I regularly work with databases and can calculate and export it without loss.

  • Projects 22
  • Rating -
  • Rating 591

Budget: 6750 UAH Deadline: 2 days

Good day. I work a lot with large Excel files. I can help you too.

What exactly needs to be done?

  • Projects -
  • Rating -
  • Rating 446

Budget: 2900 UAH Deadline: 1 day

Good day! I will quickly unpack your database and sort everything by cities. I have experience with processing such datasets, so I will do it all automatically using Python. At the end of the work, I will provide you with the script so you can use it in the future.

Completion: 1-2 days

Feel free to write, I will be happy to collaborate!

  • Projects -
  • Rating -
  • Rating 358

Budget: 3000 UAH Deadline: 2 days

Hello!

The task is clear. I have experience with data processing and working with Excel.

I will unpack the database, sort it by cities, and provide a ready Excel file.

Before starting, I would like to clarify: in what format is the database and what is the volume?

  • Projects -
  • Rating -
  • Rating 584

Budget: 3000 UAH Deadline: 2 days

Hello! I regularly work with data processing in Excel and scripts (Python/Pandas), so I will unpack the database and sort it by cities quickly and accurately. I will create a clean structure: separate sheets or files by cities, removal of duplicates, and a uniform format for fields. Before starting, I will clarify the desired appearance of the result and show a sample on the first part of the data. I am ready to start today.

  • Projects 5
  • Rating 5.0
  • Rating 517

Budget: 3000 UAH Deadline: 2 days

Ready to unpack the database and sort it — you will receive a clean Excel file without duplicates, with a logical structure by cities or any other field you need.

What exactly I will do:
• I will unpack the archive/dump and extract the data into a working format
• I will remove junk: empty rows, duplicates, broken records
• I will sort by cities (or another criterion) — everything will be neatly grouped
• I will save the result in Excel with clear column names, so you can immediately continue working

I do this in Python (pandas) — it's faster and more accurate than manual processing. I've seen applications from colleagues offering the same — but I noticed one thing: if there is an SQL dump inside the archive, it needs to be properly parsed and the tables extracted first. I know how to do this correctly, without data loss.

  • Projects -
  • Rating -
  • Rating 583

Budget: 3000 UAH Deadline: 1 day

Hello! I have experience with databases and data processing. I would be happy to help you.

  • Projects -
  • Rating -
  • Rating 415

Budget: 3000 UAH Deadline: 7 days

Hello! I am ready to complete this task. I would like to hear more details about the database itself and the requirements for using the work.

  • Projects -
  • Rating -
  • Rating 472

Budget: 3000 UAH Deadline: 2 days

Hello! I am ready to take on your task. I have extensive experience working with large datasets and automating Excel files. I will write a script in Python (using the pandas library) that quickly unpacks your database and sorts it by cities in the required format. This will ensure accuracy and speed of execution. I am ready to discuss the details, feel free to write.

  • Projects -
  • Rating -
  • Rating 282

Budget: 3000 UAH Deadline: 3 days

It is necessary to unpack the database, check the data structure, and sort the records by cities with subsequent saving in Excel format. Before starting, it is worth clarifying the archive format and whether it is necessary to split the data into separate files for each city, or if one Excel file with sorting and filtering is sufficient.

If the database is large, the process can be automated to avoid errors during sorting and speed up execution. Please send a sample file or archive — after reviewing it, I will immediately provide the exact deadline for completion.

  • Projects -
  • Rating -
  • Rating 495

Budget: 2990 UAH Deadline: 1 day

Good day!

I am ready to perform: I will unpack the database, convert it to Excel, and sort it by cities. I constantly work with databases and registries in Excel — I will execute it carefully, without data loss.

Please clarify: what is the volume of the database (number of rows) and do you need all cities in one sheet or a separate sheet for each city? After that, I will immediately provide the price and deadline.

  • Projects 41
  • Rating -
  • Rating 1 305

Budget: 3000 UAH Deadline: 1 day

I will do it.
I have extensive experience working with databases and Excel in reporting.

  • Projects 10
  • Rating 5.0
  • Rating 2 283

Budget: 2900 UAH Deadline: 1 day

Good day, Rustam!
I will unpack the database and sort it by cities in Excel format (.xlsx): I will write a Python script (pandas), with separate columns or sheets for each city, without duplicates.
If there are discrepancies in the city names (for example, "Kyiv" and "m. Kyiv" written differently) or if a city is "embedded" within an address as a single text, I will notify you about this immediately, before delivering the result.

First, I will process a small fragment (50-100 rows) for free, so you can check the format of the result.

Please tell me, in what format are the source data currently (archive, CSV, SQL dump)?

  • Projects -
  • Rating -
  • Rating 468

Budget: 2900 UAH Deadline: 1 day

Hello!
I am ready to complete the task today.
I will use Python (pandas) for processing, so even a large volume of data will be handled quickly and without manual errors.
After unpacking:
I will sort the database by cities;
I will prepare a neat Excel file;
if necessary, I will remove duplicates and check the correctness of the data structure.
After receiving the files, I will immediately be able to assess the format of the database and start working.

  • Projects 79
  • Rating 4.8
  • Rating 3 074

Budget: 3000 UAH Deadline: 1 day

Good day!! I am ready to start right now!!! Quality guaranteed!!!

  • Projects 380
  • Rating 5.0
  • Rating 8 126

Budget: 3000 UAH Deadline: 1 day

Hello. I am interested in your project. I am ready to discuss and complete it!

  • Projects 4
  • Rating -
  • Rating 570

Budget: 2900 UAH Deadline: 2 days

Good.
Over 20 years of programming and database experience. Ready to help.

  • Projects -
  • Rating -
  • Rating 930

Budget: 3000 UAH Deadline: 3 days

Good day, Rustam.

Your database will be unpacked and sorted by cities in Excel format. Go and the excelize library will be used for processing, ensuring accuracy and speed when working with large volumes of data.
The result will be a clean, structured file ready for use. If necessary, it can be split into separate tabs by cities or created as separate files.
After receiving the output data, I will clarify the sorting details and format to ensure the result meets your needs precisely.
The completion time is from one day, depending on the volume and "variety" of the data.

  • Projects 20
  • Rating 5.0
  • Rating 1 021

Budget: 3000 UAH Deadline: 1 day

Good day. I am ready to collaborate. Please contact me in private messages to discuss the details.

  • Projects 18
  • Rating 4.4
  • Rating 2 113

Budget: 3000 UAH Deadline: 1 day

Hello! The task is clear — unpack the database and sort it by cities in Excel.

Why choose me:

- Speed and automation: I use scripts, so I will do everything as quickly as possible, without manual routine and mechanical errors.
- Perfect structure: You will receive a clean, structured table, free of duplicates and with correct formatting.
- Ready to start: I can begin the work right now.

Message me privately — we will agree on the format and I will start immediately!

  • Projects 11
  • Rating 5.0
  • Rating 1 788

Budget: 3000 UAH Deadline: 2 days

Good day! We have experience working with large datasets and their structuring. We implement this by writing a script for automatic parsing and distributing information by cities in Excel format. We guarantee the accuracy of the distribution and quick execution of the task.

  • Projects 13
  • Rating 5.0
  • Rating 432

Budget: 3000 UAH Deadline: 2 days

Good day! I am ready to complete your task. Write to me, and we will agree.

  • Projects -
  • Rating -
  • Rating 280

Budget: 2900 UAH Deadline: 2 days

I will unpack your database from the archive and perform a clean sorting by cities in Excel format, with separate columns for locations and without duplicate entries. For large volumes of data, it's better to write a small script in Python right away; it's faster and eliminates the risk of human error in manual sorting. Payment will be after you personally check the finished file and are satisfied with the result, no upfront payments. Please let me know what format the archive is currently in and approximately how many rows or cities are expected in the database?

  • Projects -
  • Rating -
  • Rating 172

Budget: 3000 UAH Deadline: 1 day

Feel free to contact me, I will do it.

  • Projects 13
  • Rating 4.8
  • Rating 1 274

Budget: 3000 UAH Deadline: 1 day

Good day!

I will unpack the database, sort the data by cities, and prepare a neatly structured Excel file. I work carefully with large volumes of information, check the results before submission, and adhere to formatting requirements.

I can start immediately after receiving the files. I look forward to collaborating!

  • Projects 32
  • Rating 5.0
  • Rating 494

Budget: 3000 UAH Deadline: 2 days

Hello! I am interested in your project. I am ready to start working today. Please reach out, I would be happy to work with you!

  • Projects 45
  • Rating -
  • Rating 1 848

Budget: 3000 UAH Deadline: 1 day

Ready to get started.
I’m waiting for more info about the database and the output format.

  • Projects 8
  • Rating 5.0
  • Rating 1 844

Budget: 3000 UAH Deadline: 2 days

Hello! I will quickly unpack and sort your database into XL format, ensuring accuracy and structured data for further use. I will use SQL to optimize the process, which will reduce processing time by up to 30%. If needed, I can send examples of similar projects in private messages.

  • Projects 11
  • Rating 5.0
  • Rating 914

Budget: 3000 UAH Deadline: 2 days

Hello. I am interested in your project. Could you please specify what format the database is in (SQL, CSV, Excel, or other) and what exact result you need after sorting? Once I clarify the details, I will be able to assess the timeline and start working immediately.

  • Projects 125
  • Rating 5.0
  • Rating 4 053

Budget: 3000 UAH Deadline: 2 days

Hello! I can help with unpacking and sorting the database in XL format. I will use Python for quick and quality execution. I am waiting for your details!

  • Projects -
  • Rating -
  • Rating 392

Budget: 3000 UAH Deadline: 2 days

Rustam, I see that we need to tidy up the database and structure it by cities in Excel for easier work. To make the data truly useful, I will unpack the existing archives, correct duplicates, and separate the locations into individual columns or sheets.

Please send the file you currently have so I can assess its volume and see in what format the city names are recorded. Do you have a specific list of priority cities that need to be highlighted first, or should we sort all of them equally?

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