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day. If there is no # price data on a day, we know that price did not change on that day, so its takes the previous value. For example, for # game 730 (Counter-Strike: Global Offensive). The price was

day. If there is no # price data on a day, we know that price did not change on that day, so its takes the previous value. For example, for # game 730 (Counter-Strike: Global Offensive). The price was

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We need to clean the price change data to get daily prices. For a game-date combination, if the game_price_changes # data has an observation on that day, the $price variable in that data measures the price on that day. If there is no # price data on a day, we know that price did not change on that day, so its takes the previous value. For example, for # game 730 (Counter-Strike: Global Offensive). The price was changed to $9.99 on 2012-11-01. Then it was changed again # to $11.24 on 2012-11-22. This means that before the change on 2012-11-22, the price stayed at $9.99. # By the end of this step, you should have a price data at the level of game-date. There should be no gap in dates unless # for specific reasons that lead to missing data. You should then be able to merge the players data with the price data.

1 Ν 2 3 4 5 6 Ο 7 0 8 9 10 11 12 13 app_id price_change_date 10 2012-11-22 10 2012-11-23 10 2012-11-24 10 2012-11-25 10 2012-11-26 10 2012-11-27 10 2012-11-28 10 2012-11-29 10 2012-11-30 10 2012-12-01 10 2012-12-02 10 2012-12-03 10 2012-12-04 10 2012-12-05 price 4.99 ΝΑ ΝΑ ΝΑ ΝΑ 2.49 ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ 14 NA 15 10 2012-12-06 Showing 1 to 15 of 6,158,589 entries, 4 total columns discount 50 ΝΑ ΝΑ ΝΑ ΝΑ 75 ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ NA
Transcribed Image Text:1 Ν 2 3 4 5 6 Ο 7 0 8 9 10 11 12 13 app_id price_change_date 10 2012-11-22 10 2012-11-23 10 2012-11-24 10 2012-11-25 10 2012-11-26 10 2012-11-27 10 2012-11-28 10 2012-11-29 10 2012-11-30 10 2012-12-01 10 2012-12-02 10 2012-12-03 10 2012-12-04 10 2012-12-05 price 4.99 ΝΑ ΝΑ ΝΑ ΝΑ 2.49 ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ 14 NA 15 10 2012-12-06 Showing 1 to 15 of 6,158,589 entries, 4 total columns discount 50 ΝΑ ΝΑ ΝΑ ΝΑ 75 ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ ΝΑ NA
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 app_id date 730 2011-11-30 730 2012-02-28 730 2012-03-09 730 2012-03-16 730 2012-03-17 730 2012-03-18 730 2012-03-19 730 2012-03-20 730 2012-03-21 730 2012-03-22 730 2012-03-23 730 2012-03-24 730 2012-03-25 730 2012-03-26 730 2012-03-27 player_count 680 204 460 728 678 570 448 225 421 653 1035 1081 848 700 572
Transcribed Image Text:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 app_id date 730 2011-11-30 730 2012-02-28 730 2012-03-09 730 2012-03-16 730 2012-03-17 730 2012-03-18 730 2012-03-19 730 2012-03-20 730 2012-03-21 730 2012-03-22 730 2012-03-23 730 2012-03-24 730 2012-03-25 730 2012-03-26 730 2012-03-27 player_count 680 204 460 728 678 570 448 225 421 653 1035 1081 848 700 572
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