Python Data Visualization Essentials Guide

passengerid PassengerId	survived Survived	pclass Pclass	name Name	sex Sex	age Age	sibsp SibSp	parch Parch	ticket Ticket	fare Fare	cabin Cabin	embarked Embarked
1		3	Braund, Mr. Owen Harris	male	22	1		A/5 21171	7.25	nan	S
2	1	1	Cumings, Mrs. John Bradley (Florence Briggs Thayer)	female	38	1		PC 17599	71.2833	C85	C
3	1	3	Heikkinen, Miss. Laina	female	26			STON/O2. 3101282	7.925	nan	S
4	1	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	35	1		113803	53.1	C123	S
5		3	Allen, Mr. William Henry	male	35			373450	8.05	nan	S
6		3	Moran, Mr. James	male				330877	8.4583	nan	Q
7		1	McCarthy, Mr. Timothy J	male	54			17463	51.8625	E46	S
8		3	Palsson, Master. Gosta Leonard	male	2	3	1	349909	21.075	nan	S
9	1	3	Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)	female	27		2	347742	11.1333	nan	S
10	1	2	Nasser, Mrs. Nicholas (Adele Achem)	female	14	1		237736	30.0708	nan	C


CREATE TABLE titanic (
  "passengerid" BIGINT,
  "survived" BIGINT,
  "pclass" BIGINT,
  "name" VARCHAR,
  "sex" VARCHAR,
  "age" DOUBLE,
  "sibsp" BIGINT,
  "parch" BIGINT,
  "ticket" VARCHAR,
  "fare" DOUBLE,
  "cabin" VARCHAR,
  "embarked" VARCHAR
);