![]() ![]() You can call plot() directly on this list to create the figure. ![]() In the list each week receives an indexed score between 0-100. After a few moments a list is returned containing the trends information among other data. Next create poke utilizing gtrends() with a search pattern, and dates. These two objects are passed to gconnect() so that your R console can programmatically connect to the Google Trends service. In the code below, change the usr string to your own Gmail account. The next step is to assemble the data that will be plotted. In that case, use for example the install.packages("gtrendsR") command to import the gtrendsR package.ĮyJsYW5ndWFnZSI6InIiLCJzYW1wbGUiOiIjIEltcG9ydCBxdWFudG1vZFxubGlicmFyeShxdWFudG1vZClcblxuIyBJbXBvcnQgZ3JpZEV4dHJhXG5saWJyYXJ5KGdyaWRFeHRyYSlcblxuIyBJbXBvcnQgZ3JpZFxubGlicmFyeShncmlkKVxuXG4jIEltcG9ydCBnZ3Bsb3QyXG5saWJyYXJ5KGdncGxvdDIpXG5cbiMgSW1wb3J0IGdndGhlbWVzXG5saWJyYXJ5KGdndGhlbWVzKVxuXG4jIEltcG9ydCBndHJlbmRzUlxubGlicmFyeShndHJlbmRzUikifQ= It could be that you need to install packages if you don’t have them installed yet. Lastly, the gtrendsR package provides an interface to get Google Trends data. ggplot2 is a great grammar of graphics library, while ggthemes provides premade palettes for easy implementation. Both ggplot2 and ggthemes are used to construct the time series. Next, gridExtra and grid are needed to arrange the two resulting visuals. The quantmod library is a popular R package for importing stock market data. To start load the libraries we will need to make the visuals. Let’s make our own News Trends feature for free and see how awesome a poor man’s Bloomberg Terminal’s NT service could be! Create Your Own R News Trends Feature Load the Libraries If it’s so valuable to be part of a $20,000 a month service, then we should be able to gain some novel insight using Google News Trends and Yahoo’s stock service. However, as the sophisticated audience ( destination) that we are, we own the meaning and therefore get to recreate what we think the NT service is and determines its value for ourselves. An unsophisticated consumer of this message may interpret a causal affect from her words and may even attempt to trade stocks using the NT service. ![]() I am guessing you, a DataCamp blog reader, already identified a flaw in Clark’s word choice: as an authority ( sender) speaking on an authoritative radio ( channel) broadcast, she’s uses words like “driven” ( message) in the NT service, which includes a correlation calculation. You probably already know this inherently, but it is important to note: choosing your words, tone and channel correctly affects the message meaning, anyone who is married knows this firsthand :). This means the word choice, tone and medium have an impact on the audience’s comprehension and ascribed attitudes towards the message. In communication theory, a message’s meaning lies with the destination not the sender or channel. Now, as a text miner, I take particular note of word choice. As the conversation wore on detailing how to use NT within a terminal and thereby illustrate the service’s value proposition, Hilary Clark begrudgingly stated that “the stock ticks up for Nintendo were driven… By the mentions of Pokémon GO” and later added, “the value out of this function is just to see what is driving up the stock price.” The awkward radio broadcast covered a game the “kids” were playing called Pokémon GO and its relationship with Nintendo’s stock. Admittedly I haven’t been in front of a terminal since grad school and I do not remember the NT feature. From the description that is all the feature of the $20,000 a month service does. Bloomberg had taken a brief detour from Brexit and the daily musings of the market to instead focus on technology stocks and how to use a Bloomberg Terminal feature called NT (News Trends) to illustrate the information of both news trends and stock prices, aggregating topic mentions across many news sources as a time series. On a nondescript commute in late July, In the aftermath of the Brexit vote in England and the rise of the hugely popular game called Pokémon GO, I was listening to Bloomberg radio on my way to work. Introduction: What Bloomberg Terminal’s News Trends Feature (Doesn’t) Show ![]()
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