MCSI_Data_monthAvg_melt

monthly data working on example of <code>GtoP_trans</code>. It is a typical dataset that can work on
<code>ggplot2</code> but not on <code>plotly</code>

datasets

To better visualize time-series dataset,
'TSplotly' package provides an effective mechanism to utilize
the powerful 'plotly' package for graphing
time series data. It contains 5 core functions:
TSplot(): create interactive plot on time series data or fitted
ARIMA(X) models.
ADDline(): add lines on existing 'TSplot()' objects, as needed.
GGtoPY(): create a convenient way to transform (reformat) 'ggplot2'
datasets into a format that can work on 'plot_ly()'.
GTSplot(): create multiple 'plot_ly()' lines (time-series) based on
data frames containing multiple time-series data.
TSplot_gen(): a more general version of function 'TSplot()' that
can work on any time format.

Yongkai Qiu

TSplotly

Create Interactive Plots on Time Series Dataset

Zhe Yin

Ivo Dinov

SOCR team

MCSI_Data_monthAvg_melt function

dataset with 4428 rows and 3 columns<dl class="dl-horizontal">
<dt>YYYYMM</dt><dd>Indicating year, month and day</dd>
<dt>series</dt><dd>Indicating different features</dd>
<dt>value</dt><dd>value of different feature under a certain time</dd>
</dl>

Format

MCSI_Data_monthAvg_melt — MCSI_Data_monthAvg_melt

dataset with 4428 rows and 3 columns<dl class='dl-horizontal'>
<dt>YYYYMM</dt><dd>Indicating year, month and day</dd>
<dt>series</dt><dd>Indicating different features</dd>
<dt>value</dt><dd>value of different feature under a certain time</dd>
</dl>

MCSI_Data_monthAvg_melt: MCSI_Data_monthAvg_melt

Description

Usage

Arguments

Format