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November 13, 2018 04:56
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Vectorspace AI 2018 Top On-Demand Dataset Requests
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| Dataset Type | # of Requests | |
|---|---|---|
| Search Trends | 2997 | |
| Metals | 2964 | |
| Foods | 2957 | |
| Top Gainers/Losers | 2957 | |
| Human Genes | 2953 | |
| Pharmaceuticals | 2951 | |
| Real estate | 2913 | |
| Commodities | 1759 | |
| Cities | 1655 | |
| Chemicals | 1598 | |
| Ccsentiment | 1540 | |
| Bitcoin | 963 | |
| Helium | 24 | |
| Coffee | 20 | |
| Playstation | 20 | |
| Machine Learning | 19 | |
| GPU | 19 | |
| Botanicals | 17 | |
| Korea | 16 | |
| Shampoo | 15 | |
| Apple | 14 | |
| Donald Trump | 11 | |
| Ice Cream | 11 | |
| Gold | 9 | |
| BTC | 8 | |
| AI | 8 | |
| Graphene | 8 | |
| Lithium | 8 | |
| Oil | 7 | |
| Earthquake | 7 | |
| 7 | ||
| Script | 6 | |
| Rare earths | 5 | |
| Rich | 5 | |
| Money | 5 | |
| Cars | 5 | |
| Gallium | 5 | |
| Wealth | 5 | |
| Airlines | 4 | |
| Spy | 4 | |
| Statistics | 4 | |
| Technology | 4 | |
| Brexit | 3 | |
| Blockchain | 3 | |
| Prices | 3 | |
| Sodhi | 3 | |
| Car | 3 | |
| Batteries | 3 | |
| Stock | 3 | |
| Tesla | 3 | |
| Butter | 3 | |
| China | 3 | |
| QQQ | 3 | |
| USA | 3 | |
| Ethereum | 3 | |
| Ed Sheeran | 3 | |
| Beef | 3 | |
| Flights | 3 | |
| Price | 2 | |
| Barack Obama | 2 | |
| Consumer | 2 | |
| Timber | 2 | |
| Composite | 2 | |
| iPhone | 2 | |
| Swimnastics | 2 | |
| Deferred | 2 | |
| Peanut | 2 | |
| United | 2 | |
| Titanium | 2 | |
| Irregularities | 2 | |
| Internet | 2 | |
| Agriculture | 2 | |
| Ceramic | 2 | |
| CPU | 2 | |
| Magnesium | 2 | |
| Bernie Sanders | 2 | |
| Syria | 2 | |
| Gas | 2 | |
| George W Bush | 2 | |
| Hue | 2 | |
| Jobs | 2 | |
| Samsung Galaxy | 2 | |
| 2 | ||
| Audit | 2 | |
| Finland | 2 | |
| Biotech | 2 | |
| Kindle | 2 | |
| Sports | 2 | |
| Hurricane | 2 | |
| Switzerland | 2 | |
| Bruker | 2 | |
| Food | 2 | |
| Driving | 2 | |
| Fabrication | 2 | |
| Subscriptions | 2 | |
| Minute | 2 | |
| Uutuquiytn | 2 | |
| Putin | 2 | |
| Exxon | 2 | |
| Cloud Computing | 2 | |
| Electric | 2 | |
| Claims | 2 | |
| Tourism | 2 | |
| High | 2 | |
| Crypto | 2 | |
| Hotel | 2 | |
| Hillary Clinton | 2 | |
| Hackers | 2 | |
| Mobile | 2 | |
| India | 2 | |
| Drought | 1 | |
| Credit | 1 | |
| Heart Failure | 1 | |
| Stars | 1 | |
| CRISPR | 1 | |
| Ripple | 1 | |
| Retail | 1 | |
| Phosphorus | 1 | |
| Lasers | 1 | |
| Carbon | 1 | |
| Vector | 1 | |
| Steel | 1 | |
| Elements | 1 | |
| Security | 1 | |
| Beverages | 1 |
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