Data
Tweets-about-distance-learning

Tweets-about-distance-learning

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context 202.645 tweets collected with Twitter API by using the following hashtags and keywords, distancelearning, onlineschool, onlineteaching, virtuallearning, onlineducation, distanceeducation, OnlineClasses, DigitalLearning, elearning, onlinelearning, distance learning, online teaching, online education, online course, online semester, distance course, distance education, online class, e-learning, e learning Content RangeIndex: 202645 entries, 0 to 202644 Data columns (total 8 columns): Column Non-Null Count Dtype --- ------ -------------- ----- 0 Unnamed: 0 202645 non-null int64 1 Unnamed: 0.1 202645 non-null int64 2 Content 202645 non-null object 3 Location 155123 non-null object 4 Username 202645 non-null object 5 Retweet-Count 202645 non-null int64 6 Favorites 202645 non-null int64 7 Created at 202645 non-null object dtypes: int64(4), object(4) memory usage: 12.4+ MB None Since: 2020-07-23 23:51:34 Until 2020-08-14 05:43:52 Project I have used this data for sentiment analysis. You can look at my work on GitHub and Medium

8 features

Unnamed:_0numeric202645 unique values
0 missing
Unnamed:_0.1numeric15000 unique values
0 missing
Contentstring181792 unique values
0 missing
Locationstring35481 unique values
48656 missing
Usernamestring122377 unique values
0 missing
Retweet-Countnumeric266 unique values
0 missing
Favoritesnumeric520 unique values
0 missing
Created_atstring168449 unique values
0 missing

19 properties

202645
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
48656
Number of missing values in the dataset.
48656
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
50
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.
24.01
Percentage of instances having missing values.
Average class difference between consecutive instances.
3
Percentage of missing values.

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