Publications by Zhuoxin Jiang
ANLY 512 - LAB1
Lab1-512 Zhuoxin Jiang Data Collection Column Objective The objective of the dashboard is to purchase oje of the securities/commodities among four Chinese stocks (listed in the U.S.), which has the maximized profits with the short term goal. Four companies are Bilibili, Alibaba Group, JD.com, and Baidu. Column Key Indicator Analysis -...
2362 sym R (7663 sym/1 pcs) 4 img
ANLY 512 - Problem Set 3
Objectives The objectives of this problem set is to gain experience working with the ggplot2 package for data visualization. To do this I have provided a series of graphics, all created using the ggplot2 package. Your objective for this assignment will be write the code necessary to exactly recreate the provided graphics. When completed submit a ...
1666 sym R (2725 sym/21 pcs) 5 img
Basic Visualization Process
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...
5349 sym R (10354 sym/62 pcs) 11 img
HW1 - Data Screening - Zhuoxin Jiang
Directions The purpose of this assignment is to refresh your data screening skills. (Hint: take a look at your ANLY 500 notes) Please load in the airquality.csv dataset. You will conduct data screening tasks on this dataset. library(readr) airquality <- read_csv("airquality.csv") ## Parsed with column specification: ## cols( ## Ozone = col_doub...
667 sym R (9577 sym/61 pcs) 6 img
Entity Recognition Assignment
Libraries / R Setup In this section, include the R set up for Python to run. ##r chunk library(reticulate) py_config() ## python: /Users/zosiajiang/Library/r-miniconda/envs/r-reticulate/bin/python ## libpython: /Users/zosiajiang/Library/r-miniconda/envs/r-reticulate/lib/libpython3.6m.dylib ## pythonhome: /Users/zosiajiang/Libra...
1342 sym R (8581 sym/41 pcs)
NLP - Processing Raw Text Assignment
In each step, you will process your data for common text data issues. Be sure to complete each one in R and Python separately - creating a clean text version in each language for comparison at the end. Update the saved clean text at each step, do not simply just print it out. Libraries / R Setup In this section, include the libraries you need f...
2332 sym R (9793 sym/37 pcs)
Part of Speech Tagging Assignment
Libraries / R Setup In this section, include the libraries you need for the R questions. ##r chunk # devtools::install_github("bradleyboehmke/harrypotter") library(harrypotter) ##pick one of the harrypotter books to analyze with your POS text ##https://github.com/bradleyboehmke/harrypotter check out the options ##load it using data(book title)...
2650 sym R (647689 sym/44 pcs) 1 img
ANLY 512 - Problem Set 6
Objectives 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 between class examples and applied data science work is the iterative and repetitive nature of exploring a data set. It t...
3303 sym R (3425 sym/11 pcs) 5 img
512 Lab2
512 Lab2 Zhuoxin Jiang Data Collection Row Objective Climate change has been witnessed by the ever-evolving modern society. The increasing number recorded extreme weather events becomes the warning from the nature mother to all the human being. The objective of the dashboard is to explore the relationship between different weather event...
2621 sym R (9866 sym/2 pcs) 10 img
Constituency and Dependency Parsing
Libraries / R Setup In this section, include the R set up for Python to run. ##r chunk library(reticulate) In this section, include import functions to load the packages you will use for Python. ##python chunk import nltk import spacy from spacy import displacy from __future__ import unicode_literals, print_function import plac import rando...
1886 sym R (5192 sym/29 pcs)