## R IN ACTION Review 4 - Time series (Part 2)

In this blog, we’ll turn to forecasting, starting with popular exponential
modeling approaches that use weighted averages of time-series values[1].
Exponential models are some of the most popular approaches to forecasting the
future values of a time series. They’re simpler than many other types of models,
but they can yield good short-term pred...

## R IN ACTION Review 3 - Time series (Part 1)

I learnt Time Series from “R IN ACTION” in recent days and want to extract some
important points for absorbing and summarizing the knowledge[1]. In this blog, I
will simply introduce the methods for creating and manipulating time series,
describing and plotting them, and decomposing them into level, trend, seasonal,
and irregular (error) compone...

## R IN ACTION Review 2 - Getting started with graphs

This blog reviews general methods for working with graphs. We’ll begin with how
to create and save graphs, then talk about how to modify the features of graph.
Creating and saving graphs
Creating a new graph by issuing a high-level plotting command such as plot(),
hist(), or boxplot() typically overwrites a previous graph. But how to
create mo...

## R: Working with GeoJSON data and resolve 'Error in ogrInfo'

This blog presents how to work with GeoJSON data in R, and proposes the solution of "Error in ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv"

## R IN ACTION Review 1 - Data structures

During these days, I read the book “R IN ACTION” on my way to work and home. In
order to strengthen my data analysis ability and facilitate our work, I decided
to start from the begining. Reviewing the basic knowledge, I felt familiar and
found its interests. Considering it could be useful in data science, I’d like to
share them as weekly blogs....

## Goals of 2017

Year 2017 is the first year in which I start my first full-time job as a data
scientist. Therefore, I want to share with you some goals and expectation about
this year. I try to split the goals into several parts: the goal in my work at
Franprix, the technique of data science, the business analysis, the
communication skill, and the improvement o...

## Coursera UCSD Big Data Integration and Processing review

Introducing to basic concepts in big data integration and processing by coursera, specifically apply with Apache Spark.

## UCSD Introduction to Big Data Week 3 review

In the blog UCSD Introduction to Big Data Week 1 & 2 review,
we talked about three sources of Big Data and the characteristics of Big Data.
Today, I’ll go on with it and talk about the process of data analysis and Hadoop.
The Process of Data Analysis
Acquire Data
Acquire includes anything that makes us retrieve data including; finding,
ac...

113 post articles, 15 pages.