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+![logo_ironhack_blue 7](https://user-images.githubusercontent.com/23629340/40541063-a07a0a8a-601a-11e8-91b5-2f13e4e6b441.png)
+
+# Lab | SQL basics (selection and aggregation)
+
+## Introduction
+
+In this lab, you will be using the `files_for_lab/lab1_bank.sqlite` database. Load it into DB browser for sqlite, and there you will find a `bank` database which we will use for the following exercise.
+
+Open the `lab1_bank.sqlite` database in DB Browser for SQLite by selecting **Open Database** and choosing the `lab1_bank.sqlite` file. Once it's open, you can start working on your lab in the **Execute SQL** section. Don't forget to save your code regularly.
+
+
+Here, we will practice selecting and projecting data. You can finish all questions with only those clauses:
+
+- `SELECT`
+- `SELECT DISTINCT`
+- `FROM`
+- `WHERE`
+- `ORDER BY`
+- `LIMIT`
+
+You can save your solutions in a file `solutions.sql`.
+
+## Instructions
+
+Assume that any `_id` columns are incremental, meaning that higher ids always occur after lower ids. For example, a client with a higher `client_id` joined the bank after a client with a lower `client_id`.
+
+### Query 1
+
+Get the `id` values of the first 5 clients from `district_id` with a value equals to 1.
+
+Expected result:
+
+```shell
+2
+3
+22
+23
+28
+```
+
+### Query 2
+
+In the `client` table, get an `id` value of the last client where the `district_id` equals to 72.
+
+Expected result:
+
+```shell
+13576
+```
+
+### Query 3
+
+Get the 3 lowest amounts in the `loan` table.
+
+Expected result:
+
+```shell
+4980
+5148
+7656
+```
+
+### Query 4
+
+What are the possible values for `status`, ordered alphabetically in ascending order in the `loan` table?
+
+Expected result:
+
+```shell
+A
+B
+C
+D
+```
+
+### Query 5
+
+What is the `loan_id` of the highest payment received in the `loan` table?
+
+Expected result:
+
+```shell
+6415
+```
+
+### Query 6
+
+What is the loan `amount` of the lowest 5 `account_id`s in the `loan` table? Show the `account_id` and the corresponding `amount`
+
+Expected result:
+
+```shell
+#id     amount
+2	    80952
+19	    30276
+25	    30276
+37	    318480
+38	    110736
+```
+
+### Query 7
+
+What are the `account_id`s with the lowest loan `amount` that have a loan `duration` of 60 in the `loan` table?
+
+Expected result:
+
+```shell
+10954
+938
+10711
+1766
+10799
+```
+
+### Query 8
+
+What are the unique values of `k_symbol` in the `order` table?
+
+Note: There shouldn't be a table name `order`, since `order` is reserved from the `ORDER BY` clause. You have to use backticks to escape the `order` table name.
+
+Expected result:
+
+```shell
+LEASING
+POJISTNE
+SIPO
+UVER
+```
+
+### Query 9
+
+In the `order` table, what are the `order_id`s of the client with the `account_id` 34?
+
+Expected result:
+
+```shell
+29445
+29446
+29447
+```
+
+### Query 10
+
+In the `order` table, which `account_id`s were responsible for orders between `order_id` 29540 and `order_id` 29560 (inclusive)?
+
+Expected result:
+
+```shell
+88
+90
+96
+97
+```
+
+### Query 11
+
+In the `order` table, what are the individual amounts that were sent to (`account_to`) id 30067122?
+
+Expected result:
+
+```shell
+5123
+```
+
+### Query 12
+
+In the `trans` table, show the `trans_id`, `date`, `type` and `amount` of the 10 first transactions from `account_id` 793 in chronological order, from newest to oldest.
+
+Expected result:
+
+```shell
+3556468	981231	PRIJEM	78.6
+233254	981216	VYDAJ	600
+233104	981212	VYDAJ	1212
+233248	981211	VYDAJ	851
+233176	981207	VYDAJ	204
+3556467	981130	PRIJEM	75.1
+233395	981130	VYDAJ	14.6
+233103	981112	VYDAJ	1212
+233247	981111	VYDAJ	851
+233175	981107	VYDAJ	204
+```
+
+### Query 13
+
+In the `client` table, of all districts with a `district_id` lower than 10, how many clients are from each `district_id`? Show the results sorted by the `district_id` in ascending order.
+
+Expected result:
+
+```shell
+1	663
+2	46
+3	63
+4	50
+5	71
+6	53
+7	45
+8	69
+9	60
+```
+
+### Query 14
+
+In the `card` table, how many cards exist for each `type`? Rank the result starting with the most frequent `type`.
+
+Expected result:
+
+```shell
+classic	659
+junior	145
+gold	88
+```
+
+### Query 15
+
+Using the `loan` table, print the top 10 `account_id`s based on the sum of all of their loan amounts.
+
+Expected result:
+
+```shell
+7542	590820
+8926	566640
+2335	541200
+817	    538500
+2936	504000
+7049	495180
+10451	482940
+6950	475680
+7966	473280
+339	    468060
+```
+
+### Query 16
+
+In the `loan` table, retrieve the number of loans issued for each day, before (excl) 930907, ordered by date in descending order.
+
+Expected result:
+
+```
+930906	1
+930803	1
+930728	1
+930711	1
+930705	1
+```
+
+### Query 17
+
+In the `loan` table, for each day in December 1997, count the number of loans issued for each unique loan duration, ordered by date and duration, both in ascending order. You can ignore days without any loans in your output.
+
+Expected result:
+
+```shell
+971206	24	1
+971206	36	1
+971208	12	3
+971209	12	1
+971209	24	1
+971210	12	1
+971211	24	1
+971211	48	1
+971213	24	1
+971220	36	1
+971221	36	1
+971224	60	1
+971225	24	1
+971225	60	1
+971226	60	1
+971227	48	1
+971228	12	1
+971228	36	1
+971228	48	2
+971231	60	1
+```
+
+### Query 18
+
+In the `trans` table, for `account_id` 396, sum the amount of transactions for each type (`VYDAJ` = Outgoing, `PRIJEM` = Incoming). Your output should have the `account_id`, the `type` and the sum of amount, named as `total_amount`. Sort alphabetically by type.
+
+Expected result:
+
+```shell
+396	PRIJEM	1028138.6999740601
+396	VYDAJ	1485814.400024414
+```
diff --git a/files_for_lab/solutions.sql b/files_for_lab/solutions.sql
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+--QUERY 1
+
+SELECT client_id
+FROM client
+WHERE district_id = 1
+LIMIT 5;
+
+--QUERY 2
+
+SELECT client_id
+FROM client
+WHERE district_id = 72
+ORDER BY client_id DESC
+LIMIT 1;
+
+--QUERY 3
+
+SELECT amount FROM loan
+ORDER BY amount
+LIMIT 3;
+
+--QUERY 4
+
+SELECT DISTINCT status FROM loan
+ORDER BY status;
+
+--QUERY 5
+
+SELECT loan_id FROM loan
+ORDER BY payments DESC
+LIMIT 1;
+
+--QUERY 6
+
+SELECT account_id, amount FROM loan
+ORDER BY account_id
+LIMIT 5;
+
+--QUERY 7
+
+SELECT account_id FROM loan
+WHERE duration = 60
+ORDER BY amount
+LIMIT 5;
+
+--QUERY 8
+
+SELECT DISTINCT k_symbol FROM `order`
+WHERE k_symbol != ''
+ORDER BY k_symbol;
+
+--QUERY 9
+
+SELECT order_id FROM `order`
+WHERE account_id = 34
+
+--QUERY 10
+
+SELECT DISTINCT account_id FROM `order`
+WHERE order_id BETWEEN 29540 AND 29560;
+
+--QUERY 11
+
+SELECT amount FROM `order`
+WHERE account_to = 30067122;
+
+--QUERY 12
+
+SELECT trans_id, date, type, amount
+FROM trans
+WHERE account_id = 793
+ORDER BY date DESC
+LIMIT 10;
+
+--QUERY 13
+
+SELECT district_id, COUNT(*) FROM client
+WHERE district_id < 10
+GROUP BY district_id
+ORDER BY district_id;
+
+--QUERY 14
+
+SELECT type, COUNT(*) as count FROM card
+GROUP BY type
+ORDER BY count DESC;
+
+--QUERY 15
+
+SELECT account_id, SUM(amount) as total
+FROM loan
+GROUP BY account_id
+ORDER BY total DESC
+LIMIT 10;
+
+--QUERY 16
+
+SELECT date, COUNT(*) as nb_loans FROM loan
+WHERE date < 930907
+GROUP BY date
+ORDER BY date DESC;
+
+--QUERY 17
+
+SELECT date, duration, COUNT(*) as count
+FROM loan
+WHERE date LIKE '9712%'
+GROUP BY date, duration
+ORDER BY date, duration;
+
+--QUERY 18
+
+SELECT account_id, type, SUM(amount) as total_amount
+FROM trans
+WHERE account_id = 396
+GROUP BY type
+ORDER BY type;