Publications by Yining Jia
ANLY512 Final Project - Yining Jia
The Quantified Self - Final Project ANLY 512 Yining Jia Introduction For this personal data project, I am intending to draw insights by analyzing my credit card transactions. Due to the fast development of mobile transaction, spending money nowadays is more intangible to measure and conrol. So I feel it’s important for us to be more m...
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ANLY530 Lab3 - Yining Jia
#OBJECTIVE #This lab is intended to help you understand how to integrate unsupervised and supervised learning techniques. You’ll start by considering unsupervised learning using k-Means clustering. Then, you’ll use the results of that analysis as input for a supervised learning analysis, specifically a classification analysis. This is the bas...
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ANLY512 Lab2 - Yining Jia
ANLY 512 DASHBOARD LAB 2 Yining Jia Intro In this project, we are interested in exploring how precipitation changed in particular stations/areas. This dashboard demonstrated some findings in Akron Canton Airport (Ohio area), New York City and San Fransico The data we extracted is dated from 08/01/2017 through 07/31/2018. Source: NOAA Tr...
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ANLY512 Lab 1 - Yining Jia
Stock Investment Analysis Dashboard Row Nestle -0.51 % Mondelez 0.71 % Hershey -1.41 % Lindt&Sprungli -0.24 % NASDAQ INDEX 0.1 % DOW JONES INDEX 0.11 % Row NESTLE 3-year Candlestick MONDELEZ 3-year Candlestick HERSHEY 3-year Candlestick Lindt&Sprungli 3-year Candlestick Row Table View --- title: "Stock Investment Analysis...
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ANLY530 Lab1 - Yining Jia
Method 1: Tree-Based classcification Step 1: Collecting the data credit <- read.csv("credit.csv") str(credit) ## 'data.frame': 1000 obs. of 21 variables: ## $ Creditability : int 1 1 1 1 1 1 1 1 1 1 ... ## $ Account.Balance : int 1 1 2 1 1 1 1 1 4 2 ... ## $ Duration.of.Credit..month. : int ...
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ANLY512 ggplot basics - Yining Jia
Directions During ANLY 512 we will be studying the theory and practice of data visualization. We will be using R and the packages within R to assemble data and construct many different types of visualizations. We begin by studying some of the theoretical aspects of visualization. To do that we must appreciate the basic steps in the process of mak...
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ANLY530 Lab2 - Yining Jia
Module 1. Naive Bayes Classifer Question 1: Report the number of missing values in the dataset. Answer 1: The dataset contains 1000 observations of 21 variables. No missing values are found in the dataset. Question 2: Compute the percentage of both classes similar to Lab 1 and see if the distribution of both classes preserved for both training an...
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ANLY512 Problem 6 - Yining Jia
Objectives The objective of this assignment is to conduct an exploratory data analysis of a data set that you are not familiar with. In this week’s lecture, we discussed a number of visualization approaches in order to explore a data set with categorical variables. This assignment will apply those tools and techniques. An important distinction...
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