Data
US-2020-Presidential-Election-Speeches

US-2020-Presidential-Election-Speeches

active ARFF GPL 2 Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context The goal of this dataset is to provide a tidy way to access to the transcripts of speeches given by various US politicians in the context of the 2020 US Presidential Election. Transcripts have been scraped from rev.com. Some other information, such as location and type of speech, have been manually added to the dataset. Content The dataset has the following columns: speaker: Who gave the speech title: a title or a description of speech text: the transcript of the speech location: the location or the platform where the speech was give type: type of speech (e.g., campaign speech, interview or debate) Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration Your data will be in front of the world's largest data science community. What questions do you want to see answered?

6 features

speakerstring71 unique values
3 missing
titlestring269 unique values
0 missing
textstring269 unique values
0 missing
datestring123 unique values
0 missing
locationstring102 unique values
18 missing
typestring9 unique values
21 missing

19 properties

269
Number of instances (rows) of the dataset.
6
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
42
Number of missing values in the dataset.
32
Number of instances with at least one value missing.
0
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
11.9
Percentage of instances having missing values.
Average class difference between consecutive instances.
2.6
Percentage of missing values.

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