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Write SQL query to solve given problem: Give the number of "game-Fishing" apps.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Fishing' |
Write SQL query to solve given problem: State the number of the "魅蓝Note 2" users who are in the "F29-32" group.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2' |
Write SQL query to solve given problem: Give the number of 30-year-old users who were active in the events on 2016/5/2.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30' |
Write SQL query to solve given problem: For the event which happened at 23:33:34 on 2016/5/6, how many installed apps were involved?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1' |
Write SQL query to solve given problem: Give the number of female users of "E派" brand devices.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'E派' |
Write SQL query to solve given problem: How many male users of the "Galaxy S5" device model?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M' |
Write SQL query to solve given problem: How many users from the group "F29-32" who were active in the events on 2016/5/7?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.app_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.event_id = T3.device_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-07' AND T1.is_active = '1' AND T3.`group` = 'F29-32' |
Write SQL query to solve given problem: Which category does the app id No.894384172610331000 belong to?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = '894384172610331000' |
Write SQL query to solve given problem: For the event which happened at 14:09:49 on 2016/5/6, in the location coordinate(116, 40), how many apps were active?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.app_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T2.timestamp = '2016-05-06 14:09:49' AND T1.is_active = '1' AND T2.longitude = '116' AND T2.latitude = '40' |
Write SQL query to solve given problem: How many times is the number of active apps in the event that happened at 7:50:28 on 2016/5/2 than in the event that happened at 7:41:03 on 2016/5/2?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(timestamp = '2016-05-02 7:50:28', 1, 0)) / SUM(IIF(timestamp = '2016-05-02 7:41:03', 1, 0)) AS num FROM events AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.is_active = '1' |
Write SQL query to solve given problem: How many devices are of the brand vivo?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo' |
Write SQL query to solve given problem: How many more devices are there of the brand vivo than of the brand LG?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2 |
Write SQL query to solve given problem: What is the ID of the device used by the youngest user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) |
Write SQL query to solve given problem: Among the female users of the devices, how many of them are over 30?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(device_id) FROM gender_age WHERE age > 30 AND gender = 'F' |
Write SQL query to solve given problem: Is the oldest device user male or female?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT gender FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age ) |
Write SQL query to solve given problem: What is the age of the youngest female device user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT MIN(age) FROM gender_age WHERE gender = 'F' |
Write SQL query to solve given problem: Among all the users who use a vivo device, what is the age of the youngest user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.age FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' ORDER BY T1.age LIMIT 1 |
Write SQL query to solve given problem: Please list the app IDs of all the users in the Securities category.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Securities' |
Write SQL query to solve given problem: For the device with an event occurring on 2016/5/1 at 0:55:25, what is the gender of its user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25' |
Write SQL query to solve given problem: Among the devices with an event occurring in 2016, how many of them are owned by a user in the M23-26 user group?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26' |
Write SQL query to solve given problem: What is the brand of the device used by the most users in the M23-26 user group?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: Please list the location coordinates of all the Galaxy Note 2 devices when an event happened.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' |
Write SQL query to solve given problem: Please list all the models of the devices used by a female user.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' |
Write SQL query to solve given problem: What are the categories that app user ID7324884708820020000 belongs to?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000 |
Write SQL query to solve given problem: Among the app users who were not active when event no.2 happened, how many of them belong to the category Property Industry 1.0?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.is_active = 0 AND T1.category = 'Property Industry 1.0' AND T3.event_id = 2 |
Write SQL query to solve given problem: How many categories in total do the app users who were not active when event no.2 happened belong to?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(*) FROM ( SELECT COUNT(DISTINCT T1.category) AS result FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.event_id = 2 AND T3.is_active = 0 GROUP BY T1.category ) T |
Write SQL query to solve given problem: What is the device model used by the most female users over 30?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.device_model FROM ( SELECT T2.device_model, COUNT(T2.device_model) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age > 30 AND T1.gender = 'F' GROUP BY T2.device_model ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: Please list the models of all the devices with an event under the location coordinates (121, 31).. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.longitude = 121 AND T1.latitude = 31 |
Write SQL query to solve given problem: What are the top 3 categories with the most app users?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3 |
Write SQL query to solve given problem: Please list the event IDs of the events that have happened on the device of the oldest user.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1 |
Write SQL query to solve given problem: How many events have happened on the device of the youngest female user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1 |
Write SQL query to solve given problem: Among the devices on which an event happened on 2016/5/1, how many of them are used by a male user?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M' |
Write SQL query to solve given problem: Which category has more app users, Securities or Finance?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id |
Write SQL query to solve given problem: Please list the device models of all the devices used by a user in the M23-26 user group.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' |
Write SQL query to solve given problem: What is the average age of the female users who uses a vivo device?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F' |
Write SQL query to solve given problem: What is the ratio of female users to male users who uses a vivo device?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' |
Write SQL query to solve given problem: What is the ratio of the number of app users that belong to the Securities category to the number of app users that belong to the Finance category?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T2.category = 'Securities', 1, 0)) / SUM(IIF(T2.category = 'Finance', 1, 0)) AS per FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id |
Write SQL query to solve given problem: What is the label ID of "Third-party card management" category?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT label_id FROM label_categories WHERE category = 'Third-party card management' |
Write SQL query to solve given problem: What is the ratio of active and inactive app users of the event ID "58"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58 |
Write SQL query to solve given problem: How many events did the device ID "3915082290673130000" join?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(event_id) FROM events WHERE device_id = 3915082290673130000 |
Write SQL query to solve given problem: Calculate the percentage of male users among all device users.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age |
Write SQL query to solve given problem: How many events were participated by the users at longitude of "-156"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(event_id) FROM events WHERE longitude = -156 |
Write SQL query to solve given problem: How many app users belong to label ID of "48"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(app_id) FROM app_labels WHERE label_id = 48 |
Write SQL query to solve given problem: How many category names start with the word "game"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(label_id) FROM label_categories WHERE category LIKE 'game%' |
Write SQL query to solve given problem: Provide the number of events participated by the device users at coordinates of (80,37).. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37 |
Write SQL query to solve given problem: List down the labels' IDs and categories of the app ID "5758400314709850000".. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.label_id, T2.category FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T1.app_id = 5758400314709850000 |
Write SQL query to solve given problem: List down the app IDs under the category of game-Rowing .. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Rowing' |
Write SQL query to solve given problem: What are the label IDs and app IDs of the Chinese Classical Mythology category?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.label_id, T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Chinese Classical Mythology' |
Write SQL query to solve given problem: Describe the number of app IDs and location of the event ID "79641".. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude |
Write SQL query to solve given problem: Provide the locations and times of the events of app ID "8715964299802120000".. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.longitude, T1.latitude, T1.timestamp FROM events AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = 8715964299802120000 |
Write SQL query to solve given problem: How many OPPO users participated in events which were held around 12 AM on 1st May,2016?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND STRFTIME('%Y-%m-%d', T1.`timestamp`) = '2016-05-01' |
Write SQL query to solve given problem: What is the ratio of male and female users of vivo X5pro model?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T2.device_model = 'X5Pro' |
Write SQL query to solve given problem: How many females use ZUK Z1 phones in the age group under 23?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'Z1' AND T1.`group` = 'F23-' AND T2.phone_brand = 'ZUK' |
Write SQL query to solve given problem: List the phone brands and models of the users under 10 years of age.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10 |
Write SQL query to solve given problem: Among the HTC users, calculate the percentage of female users who are over 80.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.gender = 'F' AND T1.age > 80, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'HTC' |
Write SQL query to solve given problem: Which phone brand and model was used for event ID "6701"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701 |
Write SQL query to solve given problem: Between device ID of "-9215352913819630000" and "-9222956879900150000", mention the age and gender of device user who participated more events.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: List out the time of the event id 12.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT timestamp FROM events WHERE event_id = 12 |
Write SQL query to solve given problem: How many active users are there in the event?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(app_id) FROM app_events WHERE is_active = 1 |
Write SQL query to solve given problem: How many devices belong to model "A51"?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51' |
Write SQL query to solve given problem: State the gender of users who use the device "-9222956879900150000".. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT gender FROM gender_age WHERE device_id = -9222956879900150000 |
Write SQL query to solve given problem: How many labels belong to the game-card category?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(label_id) FROM label_categories WHERE category = 'game-card' |
Write SQL query to solve given problem: What is the age group of users who use phone brand of vivo?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' |
Write SQL query to solve given problem: How many users who are under 30 years old use device model of Galaxy Note 2?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30 |
Write SQL query to solve given problem: Among the users who use OPPO, calculate the percentage of those who are under 50 years old.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' |
Write SQL query to solve given problem: What is the average age of the users who use model device of R7?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(T1.age) / COUNT(T1.device_id) AS avg FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'R7' |
Write SQL query to solve given problem: What is the category of the label that represented the behavior category of app id 5902120154267990000?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000 |
Write SQL query to solve given problem: Mention the group of age of users who use phone brand of LG.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG' |
Write SQL query to solve given problem: State the category of the label that represented the behavior category of app id 4955831798976240000.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000 |
Write SQL query to solve given problem: How many female users use device model of MI 3?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'MI 3' |
Write SQL query to solve given problem: Among the male users, how many users use device model of Desire 820?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 820' AND T1.gender = 'M' |
Write SQL query to solve given problem: Among the users who are above 20, how many users use device model of ELIFE E7 Mini?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'ELIFE E7 Mini' AND T1.age > 20 |
Write SQL query to solve given problem: State the number of users who are under 50 and above 20 use device model of Galaxy Premier.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 50 AND T2.device_model = 'Galaxy Premier' |
Write SQL query to solve given problem: Give the number of male users who use phone branded HTC.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC' |
Write SQL query to solve given problem: How many users who are between 20 and 60 use phone brand of TCL?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 60 AND T2.phone_brand = 'TCL' |
Write SQL query to solve given problem: Among the users who use SUGAR, calculate the percentage of those who are above 20 years old.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR' |
Write SQL query to solve given problem: Indicate the location of all the events that occurred on April 30, 2016.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30' |
Write SQL query to solve given problem: How many different models does the HTC brand have?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC' |
Write SQL query to solve given problem: Identify all installed and activated apps by their id.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1 |
Write SQL query to solve given problem: How many apps are labeled 7?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7 |
Write SQL query to solve given problem: Identify by their id all the devices that are used by women who are in the age range of 29 to 31 years.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT device_id FROM gender_age_train WHERE age BETWEEN 29 AND 31 AND gender = 'F' |
Write SQL query to solve given problem: Identify by their id all the apps that belong to the game-stress reliever category.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever' |
Write SQL query to solve given problem: On what date were the most events logged on devices for 40-year-old male users?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: On which brand of phone are the most applications installed?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.phone_brand FROM ( SELECT T1.phone_brand, COUNT(T4.is_active) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id INNER JOIN events_relevant AS T3 ON T2.device_id = T3.device_id INNER JOIN app_events_relevant AS T4 ON T3.event_id = T4.event_id WHERE T4.is_active = 1 GROUP BY T1.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: How many men under the age of 23 have apps installed but are not active on their devices?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.gender = 'M' AND T3.is_active = 0 AND T1.age < 23 |
Write SQL query to solve given problem: How many women have apps from the game-Finding fault category installed on their device?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.age < 23 AND T1.gender = 'F' AND T3.is_active = 0 AND T3.is_installed = 1 |
Write SQL query to solve given problem: Which gender logged in the most to an event in the first 10 days of May 2016?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: What age group is the most using SM-T2558 model phones?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1 |
Write SQL query to solve given problem: How many people over the age of 50 do not have HTC One M8 Eye phones?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age > 50 AND T2.device_model != 'One M8 Eye' AND T2.phone_brand != 'HTC' |
Write SQL query to solve given problem: Locate all events on devices of women under 30 years old.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30 |
Write SQL query to solve given problem: What percentage of women do not have applications installed on their mobile with respect to men?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(T1.gender = 'F', 1, 0)) / SUM(IIF(T1.gender = 'M', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 0 |
Write SQL query to solve given problem: Calculate the average age of people who have apps installed but are not active on their devices.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 1 AND T3.is_active = 0 |
Write SQL query to solve given problem: Please list any three events that happened on the 1st of May 2016 that have the same latitude of 31.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT event_id FROM events WHERE timestamp LIKE '2016-05-01%' AND latitude = 31 LIMIT 3 |
Write SQL query to solve given problem: Please list any three events that have the longitude and latitude of 0.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT event_id FROM events WHERE longitude = 0 AND latitude = 0 LIMIT 3 |
Write SQL query to solve given problem: What is the difference between the events of device number -9222956879900150000 that can be located and those that are unable to be located?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000' |
Write SQL query to solve given problem: Please list any three devices that are owned by female users.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3 |
Write SQL query to solve given problem: Please list any five app categories that are related to games, along with their label ID.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5 |
Write SQL query to solve given problem: Please list any three OPPO device models.. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3 |
Write SQL query to solve given problem: What is the percentage of users who experienced event number 6 who have the app installed but do not use the app?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6 |
Write SQL query to solve given problem: Which gender owned more of the Galaxy Note 2 device model?. Keep the solution inside sql tag ```sql [SQL-Query] ``` | talkingdata | SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' |
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