Pandas is a graphical data analysis library used in Python programming language and it is one of the most popular programming libraries out there. It provides invaluable tools for data manipulation, analysis, and visualization to gain insights from structured, semi-structured and unstructured data which are crucial for building powerful algorithms and data-driven machine learning models. A Pandas Expert can be a hugely asset to your business by helping with data wrangling, cleaning, manipulation, plotting and analysis to gain a better understanding of your datasets. They can also assist in developing predictive models that help improve decision making processes.

Here's some projects that our expert Pandas Experts made real:

  • Manipulation of structured data from Excel files
  • Historical data analysis performed over multiple Excel files containing similar data across different dates
  • Comparison between two datasets
  • Developing Data Analysis scripts in CSV format with necessary comments on every action step
  • Creation of tools and visualizations based on Mark-To-Market values

At Freelancer.com our vast pool of experienced Pandas experts can help you tackle any task or challenge that you might have. From simple data manipulations to complex architectures of predictive models they can bring your project to life. As a business owner you can rest assured that Freelancer.com's experienced team has already tested each candidate so all you have to do is find the right one that meets the requirements of your project. So why not post your own project today and hire a Pandas Expert on Freelancer.com?

From 4,881 reviews, clients rate our Pandas Experts 4.77 out of 5 stars.
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    Key Requirements: - Need an expert in Python programming - Familiarity with Pandas and Beautiful Soup - Experience in data analysis The job mainly involves reviewing the existing code, fixing any issues that may hinder the data extraction, and ensuring that the extracted table is ready for analysis. Please note that no additional data preprocessing is required. (feel free to rewrite code if you have better idea) --- name "iXBRL" , inside folder contain multiple html file(hundreds to thousands), each html file contain multiple tables(vary from 15-35, depend on each html file). Python to extract specific table and vertically stack them together to create an Excel file.(first column add html filename.) inside html file is encoded in chinese, so must use chinese to view it. tab...

    $34 (Avg Bid)
    $34 Avg Bid
    18 bids

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