analysis of a large dataset using PostgreSQL, Py or R, storing the output in the DB
€30-250 EUR
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You are required to identify and carry out a series of analyses of a large dataset utilizing appropriate programming languages, programming environments and database systems.
- Datasets must be programmatically stored in appropriate database(s) prior to processing.
- Programmatic pre-processing, transformation, analysis and visualization of the data.
- Programmatically storing the processed output data in appropriate databases.
For example, you may use Python to programmatically retrieve a semi-structured dataset (XML, JSON, CSV, web-scraped or streaming data) and store this data in PostgreSQL/MongoDB. Read the data from DB to-process and transform it. Use Python or R to conduct further analysis of the data to find interesting patterns and generate visualization plots for better presentation of the results.
项目ID： #28355890
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Hi, I am a certified Python programmer under Microsoft. I'm an active and professional statistical analyst seeking a platform to provide analysis of a large dataset using Python, R, and Mongo DB. I have been pre-proce 更多
有7名威客正在参与此工作的竞标，均价€116/小时
I have read your description on VALUATION WORK and would like to work for you. I can complete your task within the deadline. For further details please inbox me. Thank you
Hi, I'm an active and professional statistical analyst seeking a platform to provide analysis of a large dataset using PostgreSQL, Py or R, storing the output in the DB . Looking for outstanding opportunities to apply 更多
Hello, Hope you are doing well..!! I am a Data scientist with over 4 years of working experience and have done many projects on AI for clients. Some of them are Sentiment Analysis, Image Classification, Text Classifi 更多
I have 4 years of experience in working as a Data Scientist. I can complete your project accurately by storing data in PostgreSQL, importing it using Python, perform detailed exploratory data analysis and data visualiz 更多
am a data scientist and I will ensure to find describe and visualize the data by python and that's will be in short tome
