SXSW 2019 Music And Speaker Schedule
SXSW 2019 Music and Speaker Schedule Data
@kaggle.thedevastator_sxsw_2019_music_and_speaker_schedule
SXSW 2019 Music and Speaker Schedule Data
@kaggle.thedevastator_sxsw_2019_music_and_speaker_schedule
By Noah Rippner [source]
The SXSW 2019 Schedule Data is a comprehensive dataset that provides valuable information about the music and speaker schedules for the SXSW 2019 event. This dataset is particularly useful for individuals interested in exploring the diverse range of speakers and musicians that participated in the highly acclaimed SXSW event.
With columns such as name, summary, genre, subgenre, home, and audio, this dataset offers detailed insights into the background, expertise, and musical genres of each artist or speaker. For music enthusiasts, it provides links to audio content related to each musician, allowing users to easily access their work.
Additionally, this dataset includes crucial details like the title and location of each event or presentation, providing context for attendees or researchers who may want to delve deeper into specific performances or talks. The venue information is also provided so individuals can easily locate where their favorite artists or speakers will be performing.
This dataset not only caters to those interested in exploring music schedules but also offers a wealth of information for individuals curious about attending thought-provoking presentations by renowned speakers. By including columns like event_time and a concise yet informative summary of each speaker's topic or presentation, users can efficiently plan their schedule at SXSW 2019 accordingly.
With its rich variety of data points, including subgenres within music genres and hometowns/origins of artists/speakers under the column subgenre and home respectively, this dataset allows users to discover new talent within specific niches while adding context through understanding an artist's cultural background.
Overall, this highly informative SXSW 2019 Schedule Dataset enables users to explore both music performances from various genres as well as enlightening presentations from renowned speakers. Whether you are a music lover seeking audio delights or someone eager to expand their knowledge through captivating talks, this extensive dataset serves as an invaluable resource for everyone interested in delving into SXSW 2019's dynamic schedule
Navigate Columns: Take a look at the columns available in this dataset. The dataset includes information such as name, summary, genre, subgenre, home, audio content, title and location of events/presentations, event times, and venues.
Search by Name or Genre: Interested in a specific speaker or musician? Utilize the 'name' column to search for their events or presentations. Alternatively, use the 'genre' column if you're looking for a particular genre of music or topic of discussion.
Explore Subgenres: If you're searching for niche interests within music or topics discussed by speakers at SXSW 2019, check out the 'subgenre' column which provides more specific subgenres within each genre.
Listen to Audio Content: Many entries in this dataset include links to audio content related to speakers or musicians. Simply click on the link provided in the 'audio' column to listen and enjoy!
Discover Hometowns: Get insights into where your favorite speaker or musician is from by exploring their hometown listed in the 'home' column.
Know Event Details: For detailed information about specific events or presentations during SXSW 2019, refer to columns like 'title_and_location', 'event_time', and 'venue'. These columns will provide you with event titles along with their locations (e.g., city), date (without year), time (if available), and venue details.
Remember that dates are not included in this guide; please refer directly to those provided next to each entry when analyzing specific days or timelines during SXSW 2019.
Feel free to explore further using query templates provided in the SXSW 2019 Schedule project, which is powered by this dataset. Have fun and enjoy exploring the music and speaker schedules from SXSW 2019!
- Analyzing trends in music genres: This dataset can be used to analyze the popularity and trends of different music genres at the SXSW 2019 event. By examining the frequency of each genre in the schedule, researchers or event organizers can gain insights into the preferences and interests of attendees.
- Planning personalized schedules: With this dataset, attendees or event organizers can create personalized schedules for themselves or participants. By filtering the data based on preferred genres or speakers, individuals can easily generate their own tailored schedules for navigating through the multiple events and sessions at SXSW 2019.
- Evaluating speaker/musician popularity: The dataset provides information about the names and hometowns of speakers/musicians, as well as links to audio content related to them. Organizers or researchers can use this data to assess which speakers/musicians had a significant following or attracted more attention by analyzing factors such as audience size during specific sessions, social media engagement, or audio content views/downloads. This information could be valuable in planning future events or making decisions regarding future artist bookings/speaker invitations based on past popularity and interest levels
If you use this dataset in your research, please credit the original authors.
Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: music_schedule_2019.csv
| Column name | Description |
|---|---|
| name | The name of the speaker or musician. (Text) |
| summary | A brief summary or description of the speaker or musician. (Text) |
| genre | The genre of music or topic of discussion for speakers. (Text) |
| subgenre | A more specific subgenre of music or topic for speakers. (Text) |
| home | The hometown or origin of speakers/musicians. (Text) |
| audio | A link to audio content related to speakers/musicians. (Text) |
| title_and_location | The title of events/presentations and their locations. (Text) |
| date | The date when events/presentations will take place. (Date) |
| event_time | The time when events/presentations will take place. (Time) |
| venue | The venue where events/presentations will be held. (Text) |
File: speaker_schedule_2019.csv
| Column name | Description |
|---|---|
| name | The name of the speaker or musician. (Text) |
| title_and_location | The title of events/presentations and their locations. (Text) |
| summary | A brief summary or description of the speaker or musician. (Text) |
| date | The date when events/presentations will take place. (Date) |
| event_time | The time when events/presentations will take place. (Time) |
| venue | The venue where events/presentations will be held. (Text) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Noah Rippner.
CREATE TABLE music_schedule_2019 (
"index" BIGINT,
"name" VARCHAR,
"summary" VARCHAR,
"genre" VARCHAR,
"subgenre" VARCHAR,
"home" VARCHAR,
"audio" VARCHAR,
"title_and_location" VARCHAR,
"date" TIMESTAMP,
"event_time" VARCHAR,
"venue" VARCHAR
);CREATE TABLE speaker_schedule_2019 (
"index" BIGINT,
"name" VARCHAR,
"title_and_location" VARCHAR,
"summary" VARCHAR,
"date" VARCHAR,
"event_time" VARCHAR,
"venue" VARCHAR
);Anyone who has the link will be able to view this.