Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.
The dataset used to explore plotly is collected from Kaggle. The data is Apple Stock Data has various attributes including High, Low, Open Close Volume and is temporal data span from Jan 2006 to Dec 2017. A snippet of the data is shown below.
| Date | Open | High | Volumn | Name |
|---|---|---|---|---|
| 2006/1/3 | 10.34 | 10.68 | 201853036 | AAPL |
| 2017/12/29 | 170.52 | 170.59 | 25999922 | AAPL |
The first two plotly graphs show historical values for the volume using scatter plot and High historical value using the bar plot. Basic Observation shows that the volume for the Apple stock dataset is decreasing, and the High Value has been increasing over time over the years from 2006 - 2018. There are also some dips in the Volumn graph after 2008 which could attribute to the aftermath of the 2008 financial crisis.
The two graphs below show an Open close line plot and a Display of High-value gaps using dots. Use the slider provided by Plotly can easily rearrange the DateTime axis and select a specific region to analyze. The increase of open-close values shows the overall positive trend for Apple stock. The High-value gaps graph on the right is used to hide and discard redundant or non-business hours from the data range.
Histogram and Candlestick graph are shown in the pair below. The histogram graph shows the average close value in months, and each daily average value is displayed as red dots. After zooming into the graph, the up and downtrend for the surrounding months are even more clear and overall, the Close values have been rising for the last couple of years. The OHLC graph is a style of financial chart describing open, high, low, and close for a given x coordinate (most likely time). The boxes represent the spread between the open and close values, and the lines represent the spread between the low and high values. Sample points where the close value is higher (lower) than the open value are called increasing (decreasing). By default, rising candles are drawn in green, whereas decreasing are drawn in red.
The left figure below shows the maximum and minimum values for open, close, high, and low. Due to the date axis's scale, the point is not shown as clear as the other graph. There are four points on this graph demonstrating the open maximum at 173 in 2017. The open, close, high, and low for Apple stock is increasing over the years. OHLC graph on the right (for open, high, low, and close) is a financial chart describing open, high, low, and close values for a given x coordinate (most likely time). The tip of the lines represent the low and high values, and the horizontal segments represent the open and close values. Zooming in the graph will give a different look to the Candlestick graph, where the difference between low and high values of each particular day.
The following graph is built using the default plotly stock dataset from multiple popular tech companies, including Google, Apple, Amazon, etc. The left chart combines all Stock values from various companies together, which evidently shows how each company performs on the stock market. The most recent month, December 2019 is showing Microsoft has the highest stock value. The right side is the facet plots, also known as trellis plots or small multiples, are figures made up of multiple subplots which have the same set of axes, which dynamically showing the coverage area of each company