Baselight

Cyclistic A Bike-share Company Of Chicago 2021

A Bike-Share analysis - This is a capestone project

@kaggle.luissanzetenea_bikeshare

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About this Dataset

Cyclistic A Bike-share Company Of Chicago 2021

As a junior data analyst working in the marketing analyst team at Cyclistic, I will work at a bike-share company in Chicago , with my team Ihave to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, my team will design a new marketing strategy to convert casual riders into annual members. So I must be backed up with compelling data insights and professional data visualizations.

Tables

Dt 2021–05

@kaggle.luissanzetenea_bikeshare.dt_2021_05
  • 27.23 MB
  • 531,633 rows
  • 13 columns
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CREATE TABLE dt_2021_05 (
  "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
);

Dt 2021–06

@kaggle.luissanzetenea_bikeshare.dt_2021_06
  • 37.68 MB
  • 729,595 rows
  • 13 columns
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CREATE TABLE dt_2021_06 (
  "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
);

Dt 2021–07

@kaggle.luissanzetenea_bikeshare.dt_2021_07
  • 41.64 MB
  • 822,410 rows
  • 13 columns
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CREATE TABLE dt_2021_07 (
  "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
);

Dt 2021–10

@kaggle.luissanzetenea_bikeshare.dt_2021_10
  • 33.76 MB
  • 631,226 rows
  • 13 columns
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CREATE TABLE dt_2021_10 (
  "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
);

Dt 2021–11

@kaggle.luissanzetenea_bikeshare.dt_2021_11
  • 20.18 MB
  • 359,978 rows
  • 13 columns
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CREATE TABLE dt_2021_11 (
  "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
);

Dt 2021–12

@kaggle.luissanzetenea_bikeshare.dt_2021_12
  • 13.23 MB
  • 247,540 rows
  • 13 columns
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CREATE TABLE dt_2021_12 (
  "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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