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Price | Product | |
---|---|---|
$9 | Shampoo | |
$4 | Soap | |
$15 | Lotion | |
$10 | Handwash |
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con_key="**" | |
con_sec="**" | |
acc_tok="**-**" | |
acc_sec="***" |
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from textblob import TextBlob | |
import tweepy |
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A | B | C | D | |
---|---|---|---|---|
-1.604969 | -0.106263 | -1.002924 | ||
-0.404667 | 0.458565 | -1.174912 | ||
0.440231 | 1.713480 | 0.162473 | -1.632132 | |
0.081050 | 0.639851 | 0.844037 | 1.463154 | |
-1.013616 | -0.224553 | 1.786915 | 1.041241 | |
-1.013616 | -0.224553 | 1.786915 | 1.041241 | |
-0.488965 | 0.946528 | 0.829525 | -0.529912 | |
-0.488965 | 0.946528 | 0.829525 | -0.529912 |
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num_ratings | positive_rating | price | wine_type | country | world | grape | region | rating_score | wine_servings | |
---|---|---|---|---|---|---|---|---|---|---|
61 | 54 | 6.99 | white wine | Australia | new world | 0.885245901639344 | ||||
34 | 34 | 21.99 | red wine | Australia | new world | 1 | ||||
16 | 15 | 28 | fine wine | Argentina | new world | merlot | 0.9375 | |||
13 | 12 | 17.99 | white wine | New Zealand | new world | marlborough wine | 0.923076923076923 | |||
3 | 3 | 40 | fine wine | France | old world | burgundy | 1 | |||
36 | 34 | 26.99 | rose wine | France | old world | 0.944444444444444 | ||||
0 | 0 | 9.99 | white wine | |||||||
43 | 41 | 9.99 | white wine | France | old world | south of france | 0.953488372093023 | |||
22 | 19 | 7.99 | white wine | 0.863636363636364 |
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import sqlite3 | |
import sys | |
con = sqlite3.connect('population.db') |
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!pip install pysqlite3 |
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pip install pysqlite3 |
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data("sales") | |
cube = generateCube(sales, columns = list(time = c("month", "year"),location = c("state"), product = "product"), valueColumn = "amount") |
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