| add_tweet_kind_cols | Augment 'rtweet' data.frame |
| append_dummy_cols | Post-process data in 'wrapper_func()' |
| clean_tweets | Clean (and augment) 'rtweet' data.frame |
| compute_change | Compute change |
| compute_corrs | Compute correlations |
| compute_freqs | Compute token frequency |
| compute_freqs_facet_by2 | Compute token frequencies in pairs |
| compute_logratios_facet_by2 | Compute token log ratios in pairs |
| compute_logratios_facet_wide | Compute log ratios |
| compute_sentratios_facet_by2 | Compute token sentiment log ratios in pairs |
| compute_sent_summ | Compute sentiment scores. |
| compute_tfidf | Compute TF-IDF |
| compute_time_elapsed | Compute time difference |
| compute_timefilter | Add time-related columns |
| create_xy_grid | Create a of name pairs |
| default_facet | Default facet parameters |
| default_filter_facet | Default word cloud parameters |
| default_labs | Default label parameters |
| default_scale_manual | Default word cloud parameters |
| default_theme | Default theme parameters |
| default_wordcloud | Default word cloud parameters |
| get_sents | Get sentiment dictionary |
| get_tweet_rgx_tidiers | Get helper list for tidying |
| get_xy_info | Get information from a particular row in the 'xy grid' |
| postprocess_xy_data | Post-process data in 'wrapper_func()' |
| preprocess_xy_data | Pre-process data in 'wrapper_func()' |
| reorder_within | Reorder an x or y axis within facets |
| tetext | tetext |
| tidify_to_bigrams | Prepare data for text analysis. |
| tidify_to_unigrams | Prepare data for text analysis. |
| trim_bytime | Trim data.frame by time |
| visualize_bigram_freqs | Visualize bigrams |
| visualize_change | Visualize change |
| visualize_cnts | Visualize counts |
| visualize_cnts_wordcloud | Visualize counts |
| visualize_corrs_network | Visualize correlations |
| visualize_freqs_facet_by2 | Visualize token frequencies in pairs |
| visualize_logratios_facet_by2 | Visualize token log ratios in pairs |
| visualize_sentratios_facet_by2 | Visualize token sentiment log ratios in pairs |
| visualize_tfidf | Visualize TF-IDF |
| visualize_time | Visualize by time period. |
| visualize_time_hh | Visualize hourly data |
| wrapper_func | 'Engine' for '_by2' functions |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.