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Analytics Table:Big Data - Topic
| Date | subscribers | views | videos | Estimated Revenue |
|---|---|---|---|---|
Aug 3, 2026 Aug 3 Mon | 194 -- | 20.3M +41.9K | 41 -- | $29 - $84 |
Aug 2, 2026 Aug 2 Sun | 194 -- | 20.2M -- | 41 -- | -- |
Aug 1, 2026 Aug 1 Sat | 194 -- | 20.2M -- | 41 -- | -- |
Jul 31, 2026 Jul 31 Fri | 194 -- | 20.2M +15.2K | 41 -- | $11 - $31 |
Jul 30, 2026 Jul 30 Thu | 194 -- | 20.2M +16.7K | 41 -- | $12 - $33 |
Jul 29, 2026 Jul 29 Wed | 194 -- | 20.2M +22.3K | 41 -- | $16 - $45 |
Jul 28, 2026 Jul 28 Tue | 194 -- | 20.2M +18.8K | 41 -- | $13 - $38 |
Jul 26, 2026 Jul 26 Sun | 194 -- | 20.1M +13.8K | 41 -- | $10 - $28 |
Jul 25, 2026 Jul 25 Sat | 194 -- | 20.1M +15.1K | 41 -- | $11 - $30 |
Jul 24, 2026 Jul 24 Fri | 194 -- | 20.1M +22.5K | 41 -- | $16 - $45 |
Jul 23, 2026 Jul 23 Thu | 194 -- | 20.1M +7.95K | 41 -- | $6 - $16 |
Jul 22, 2026 Jul 22 Wed | 194 -- | 20.1M +14.9K | 41 -- | $10 - $30 |
Jul 21, 2026 Jul 21 Tue | 194 -- | 20.1M +22.4K | 41 -- | $16 - $45 |
Jul 20, 2026 Jul 20 Mon | 194 -- | 20.0M +6.79K | 41 -- | $5 - $14 |
Jul 19, 2026 Jul 19 Sun | 194 +1 | 20.0M +15.3K | 41 -- | $11 - $31 |
Jul 18, 2026 Jul 18 Sat | 193 -- | 20.0M +16.2K | 41 -- | $11 - $33 |
Jul 17, 2026 Jul 17 Fri | 193 -- | 20.0M +15.8K | 41 -- | $11 - $32 |
Jul 16, 2026 Jul 16 Thu | 193 -- | 20.0M +16.0K | 41 -- | $11 - $32 |
Jul 15, 2026 Jul 15 Wed | 193 -- | 20.0M +26.7K | 41 -- | $19 - $54 |
Jul 14, 2026 Jul 14 Tue | 193 -- | 19.9M +5.30K | 41 -- | $4 - $11 |
Jul 13, 2026 Jul 13 Mon | 193 -- | 19.9M +13.9K | 41 -- | $10 - $28 |
Jul 12, 2026 Jul 12 Sun | 193 -- | 19.9M +15.9K | 41 -- | $11 - $32 |
Jul 11, 2026 Jul 11 Sat | 193 -- | 19.9M +14.7K | 41 -- | $10 - $29 |
Jul 10, 2026 Jul 10 Fri | 193 -- | 19.9M +15.5K | 41 -- | $11 - $31 |
Jul 9, 2026 Jul 9 Thu | 193 -- | 19.9M +15.6K | 41 -- | $11 - $31 |
Jul 8, 2026 Jul 8 Wed | 193 -- | 19.9M +15.5K | 41 -- | $11 - $31 |
Jul 7, 2026 Jul 7 Tue | 193 -- | 19.8M +22.3K | 41 -- | $16 - $45 |
Jul 6, 2026 Jul 6 Mon | 193 -- | 19.8M +4.99K | 41 -- | $3 - $10 |
Jul 5, 2026 Jul 5 Sun | 193 -- | 19.8M -- | 41 -- | $13.9K - $39.7K |
| Daily Average | -- | +14.9K | -- | $10 - $30 |
| Weekly Average | -- | +104K | -- | $73 - $209 |
| Last 29 Days | +1 | +433K | -- | $303 - $866 |
Income Estimates for Big Data - Topic
Based on Big Data - Topic's current view metrics and industry-standard rates, this YouTube channel generates an estimated daily income of $10 - $30. Weekly earnings are projected at $73 - $209, while monthly revenue estimates range from $314 - $896. The total estimated earnings from all 20.3M views amount to approximately $14.2K - $40.6K.
About Big Data - Topic
Explore Big Data - Topic's YouTube presence with 194 subscribers and 41 videos. Experience the cumulative impact of 20,310,736 views across their engaging content.
BIG DATA is the paranoid pop brainchild of artist/producer, Alan Wilkis. With a healthy dose of distrust, Big Data’s music explores the relationship between man and machine, and the ways in which technology is reshaping the human experience. In 2014, BD made waves with the #1 alternative hit, “Dangerous (feat. Joywave),” which has since been certified Gold in the US and Canada, and with nearly 40M streams. Big Data’s 2015 debut album, 2.0, featured collaborations with Kimbra, Rivers Cuomo, Twin Shadow, and Jamie Lidell. 3.0 is the long-awaited upgrade from Big Data. In creating 3.0, Wilkis became obsessed with the subject of artificial intelligence and its many possible applications in our not-too-distant future. While AI may become humanity’s greatest achievement, it carries with it a potential risk that is both existential and irreversible. This tension is both fascinating and terrifying all at once, and it is the chief inspiration behind Big Data’s latest effort.
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