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Google Capstone Project

Navigate Speedy Success For Bike-Share Company "Cyclistic"

@kaggle.haniarthur_google_capstone_project

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About this Dataset

Google Capstone Project

This analysis is the final project for Google Data Analytics Certificate offered through Coursera. In this case study, I performed real-world task of a junior data analyst as part of the marketing analyst team at a fictional company, Cyclistic, a bike-share company in Chicago.
My team was given a project is to answer the key business questions:

  1. How do annual members and casual riders use Cyclistic bikes differently?
  2. Why would casual riders buy annual membership?
  3. How can Cyclistic use digital media to influence casual riders to become members?

Tables

N 202201 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202201_divvy_tripdata
  • 5.54 MB
  • 103,770 rows
  • 13 columns
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CREATE TABLE n_202201_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202202 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202202_divvy_tripdata
  • 6.11 MB
  • 115,609 rows
  • 13 columns
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CREATE TABLE n_202202_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202203 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202203_divvy_tripdata
  • 14.24 MB
  • 284,042 rows
  • 13 columns
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CREATE TABLE n_202203_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202204 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202204_divvy_tripdata
  • 18.67 MB
  • 371,249 rows
  • 13 columns
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CREATE TABLE n_202204_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202205 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202205_divvy_tripdata
  • 31.33 MB
  • 634,858 rows
  • 13 columns
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CREATE TABLE n_202205_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202206 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202206_divvy_tripdata
  • 37.52 MB
  • 769,204 rows
  • 13 columns
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CREATE TABLE n_202206_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202207 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202207_divvy_tripdata
  • 41.31 MB
  • 823,488 rows
  • 13 columns
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CREATE TABLE n_202207_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202208 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202208_divvy_tripdata
  • 39.81 MB
  • 785,932 rows
  • 13 columns
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CREATE TABLE n_202208_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202209 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202209_divvy_tripdata
  • 35.42 MB
  • 701,339 rows
  • 13 columns
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CREATE TABLE n_202209_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202210 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202210_divvy_tripdata
  • 28.36 MB
  • 558,685 rows
  • 13 columns
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CREATE TABLE n_202210_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202211 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202211_divvy_tripdata
  • 17.49 MB
  • 337,735 rows
  • 13 columns
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CREATE TABLE n_202211_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

N 202212 Divvy Tripdata

@kaggle.haniarthur_google_capstone_project.n_202212_divvy_tripdata
  • 9.55 MB
  • 181,806 rows
  • 13 columns
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CREATE TABLE n_202212_divvy_tripdata (
  "ride_id" VARCHAR,
  "rideable_type" VARCHAR,
  "started_at" TIMESTAMP,
  "ended_at" TIMESTAMP,
  "start_station_name" VARCHAR,
  "start_station_id" VARCHAR,
  "end_station_name" VARCHAR,
  "end_station_id" VARCHAR,
  "start_lat" DOUBLE,
  "start_lng" DOUBLE,
  "end_lat" DOUBLE,
  "end_lng" DOUBLE,
  "member_casual" VARCHAR
);

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