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Name: Oladejo James
Type: User
Name: Oladejo James
Type: User
tried handling some simple json files in pandas dataframe
Config files for my GitHub profile.
This repository cotains the python files for my undergraduate final year project.
I used SQL to clean raw housing data for the hot Nashville market. This repository contains the code and the raw data.
Analyzign demographic data using pandas. The dataset was extracted from the 1994 census database. courtesy; UCI machine learning repository
This repository contains the Power BI file and the email dataset for the July edition of the Onyx Data #dataDNA challenge.
My first repository
My first try with json files in pandas dataframe. it was a bit confusing at first
The June edition of the Onyx Data #DataDNA challenge
This is one of FreeCodecamp's Data Analysis with Python certification project
The aim of this project is to visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.
For this project I will visualize time series data using a line chart, bar chart, and box plots. I will use Pandas, Matplotlib, and Seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The aim of this data visualizations is to help understand the patterns in visits and identify yearly and monthly growth.
I am using Python for Data Analysis. Here are some of the practice exercises I did on the pandas section
This package contains data about Parch and Posey, a fictional paper-selling company used in the Bertelsmann Data Science Scholarship Program and provided by Mode Analytics. The company has 50 sales reps across four regions in the United States.
The dataset contains information in form of a relational database. SQL and Pandas functions were used to answer questions in the task
Continuing with my data analysis journey, these are few exercises on importing data and processig them with pandas
using pandas library, I did some exploratory data analysis of a sales dataset of a bike store
I will anaylize a dataset of the global average sea level change since 1880. I will use the data to predict the sea level change through year 2050.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.