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| julia_tweets = get_search_tweets("#julialang") |
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| post_status_update("Hello, World!") |
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| using Twitter | |
| apikey = "q8Qw7WJTVP..." | |
| apisecret = "FIichPpGJxiOssN..." | |
| accesstoken = "98689850-v0zZNr..." | |
| accesstokensecret = "w7bDg9K0c493T..." | |
| twitterauth(apikey, | |
| apisecret, | |
| accesstoken, |
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| REQUEST: | |
| { | |
| "reportDescription":{ | |
| "dateFrom":"2013-01-01", | |
| "dateTo":"2013-11-16", | |
| "reportSuiteID":"", | |
| "segment_id":"53c059aee4b07cd3c4332163", | |
| "metrics":[ | |
| { | |
| "id":"bouncerate" |
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| macro endpoint(name, path) | |
| quote | |
| function $(esc(name))(; options=Dict{String, String}()) | |
| r = get_oauth($"https://api.twitter.com/1.1/$path", options) | |
| return r.status == 200 ? JSON.parse(r.data) : r | |
| end | |
| end | |
| end | |
| @endpoint get_help_configuration "help/configuration.json" |
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| funcname = (:get_help_configuration, :get_help_languages, :get_help_privacy, :get_help_tos, :get_application_rate_limit_status) | |
| endpoint = ("help/configuration.json", "help/languages.json", "help/privacy.json", "help/tos.json", "application/rate_limit_status.json") | |
| for (func, endp) in zip(funcname, endpoint) | |
| @eval function ($func)(; options=Dict{String, String}()) | |
| r = get_oauth($"https://api.twitter.com/1.1/$endp", options) | |
| return r.status == 200 ? JSON.parse(r.data) : r |
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| ############################################################# | |
| # | |
| # Help section Functions for Twitter API | |
| # | |
| ############################################################# | |
| function get_help_configuration(; options=Dict{String, String}()) | |
| r = get_oauth("https://api.twitter.com/1.1/help/configuration.json", options) |
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| #Plot data using ggplot2 | |
| library(ggplot2) | |
| #Calculate points crossing UCL or LCL | |
| pageviews_w_forecast$outliers <- | |
| ifelse(pageviews_w_forecast$pageviews > pageviews_w_forecast$upperBound.pageviews, pageviews_w_forecast$pageviews, | |
| ifelse(pageviews_w_forecast$pageviews < pageviews_w_forecast$lowerBound.pageviews, pageviews_w_forecast$pageviews, NA)) | |
| #Add LCL and UCL labels | |
| LCL <- vector(mode = "character", nrow(pageviews_w_forecast)) |
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| res <- breakout(formatted_df, min.size=5, method='multi', beta=.001, degree=1, plot=TRUE) | |
| res$plot |
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| res <- breakout(formatted_df, min.size=24, method='multi', beta=.001, degree=1, plot=TRUE) | |
| res$plot |