Analyzing and Visualizing Historical Stock/Revenue Data Using Webscraping
Extracting and Webscraping Stock&Revenue Data of Tesla and GameStop using libraries such as yfinance, requests, bs4 (BeautifulSoup), and Visualizing the data using Plotly.
Hey, I am Jie Ding, a 5G/6G researcher and data analyst. This page recordes some of my portfolios in data analysis and selected publications in wireless communications. The most common technical tools I used for research and data analysis include Matlab, Python, SQL, Databricks, and Tableau.
Extracting and Webscraping Stock&Revenue Data of Tesla and GameStop using libraries such as yfinance, requests, bs4 (BeautifulSoup), and Visualizing the data using Plotly.
Using Python to perform EDA and prediction for the data from Telco-Customer-Churn.csv, where Matplotlob, Seaborn, and Plotly are used for data visualisation. For prediction (classification), different methods are used, such as KNN, Random Forest, Logistic Regression, DNN, and Adaboost. The principles of these methods are also highlighted and explained.
A portfolio of supermarket EDA that utilises Python to perform data import, data analysis, and visualisation. Some interesting observations based on data visualisation are provided.
A portfolio for USA aviation accident analysis that utilises Jupyter to perform data import, data cleaning/prepping, and visual analysis. Some interesting observations based on data visualisation are provided.
A portfolio that applies association rules for retail data. MLXTEND library is used in Python.
A portfolio for customer classification that utilises Python/SQL for data prepping/cleaning and Tableau for visualisations.
A portfolio for Bechdel test analysis that utilises Python for data prepping/cleaning and Tableau for visualisations.
Utilising Python and SQL respectively to complete the Preppin' Data Challenge -- Call Center Agent Metrics. This challenge is from Tableau weekly Preppin' Data blog.
Utilising Python and SQL respectively to complete the Preppin' Data Challenge -- Pokemon Evolution Stats. This challenge is from Tableau weekly Preppin' Data blog.
My current research interests include wireless communications, Internet of Things (IoT), and machine-type communications. I have authored over 40 peer-reviewed publications in the area of wireless communications and IoT. The majority of my papers have appeared in JCR Q1 journals, such as IEEE TWC, IEEE TCOM, IEEE WCM, and IEEE IoT-J, and were presented at IEEE top-tier conferences, such as IEEE Globecom, IEEE ICC, IEEE CCNC, and IEEE WCNC. Some selected publications can be found below.
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IEEE Internet of Things Journal
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IEEE Access
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IEEE Wireless Communications
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IEEE Internet of Things Journal
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IEEE Transactions on Wireless Communications
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IEEE Transactions on Communications
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IEEE Internet of Things Journal
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IEEE Transactions on Communications
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IEEE Transactions on Communications
IEEE Transactions on Wireless Communications