Baselight

Fitness Consumer Survey Data

Explore the behavior of consumer while using fitness wearables.

@kaggle.harshitaaswani_fitness_consumer_survey_data

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About this Dataset

Fitness Consumer Survey Data

I recently conducted a research to study the impact of fitness wearables on consumer behavior. For that research, I collected the data using survey that I have shared here for data analysis. The dataset consist of 30 responses from 30 respondents and 21 questions that were asked along with the timestamp. This dataset can be quite useful for beginners to start with exploratory data analysis.

TASK:
Explore all these by creating various wonderful data visuals-
'What is the highest level of education of customers?',
'What is the current occupation of customers?',
'How often do they exercise in a week?',
'How long have they been using a fitness wearable?',
'How frequently do they use your fitness wearable?',
'How often do they track fitness data using wearable?',
'How has the fitness wearable impacted their fitness routine?',
'Has the fitness wearable helped them stay motivated to exercise?',
'Do you think that the fitness wearable has made exercising more enjoyable for customers?',
'How engaged do they feel with your fitness wearable?',
'Does using a fitness wearable make them feel more connected to the fitness community?',
'How has the fitness wearable helped them achieve your fitness goals?',
'How has the fitness wearable impacted their overall health?',
'Has the fitness wearable improved their sleep patterns?',
'Do you feel that the fitness wearable has improved their overall well-being?',
'Has using a fitness wearable influenced their decision? [To exercise more?]',
'Has using a fitness wearable influenced their decision? [To purchase other fitness-related products?]',
'Has using a fitness wearable influenced their decision? [To join a gym or fitness class?]',
'Has using a fitness wearable influenced their decision? [To change their diet?]'

Tables

Survey 605

@kaggle.harshitaaswani_fitness_consumer_survey_data.survey_605
  • 24 KB
  • 30 rows
  • 22 columns
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CREATE TABLE survey_605 (
  "timestamp" VARCHAR,
  "what_is_your_age" VARCHAR,
  "what_is_your_gender" VARCHAR,
  "what_is_your_highest_level_of_education" VARCHAR,
  "what_is_your_current_occupation" VARCHAR,
  "how_often_do_you_exercise_in_a_week" VARCHAR,
  "how_long_have_you_been_using_a_fitness_wearable" VARCHAR,
  "how_frequently_do_you_use_your_fitness_wearable" VARCHAR,
  "how_often_do_you_track_fitness_data_using_wearable" VARCHAR,
  "how_has_the_fitness_wearable_impacted_your_fitness_routine" VARCHAR,
  "has_the_fitness_wearable_helped_you_stay_motivated_to_exercise" VARCHAR,
  "do_you_think_that_the_fitness_wearable_has_made_exerci_d688713f" VARCHAR,
  "how_engaged_do_you_feel_with_your_fitness_wearable" VARCHAR,
  "does_using_a_fitness_wearable_make_you_feel_more_conne_3ad88b3b" VARCHAR,
  "how_has_the_fitness_wearable_helped_you_achieve_your_f_26a5ec70" VARCHAR,
  "how_has_the_fitness_wearable_impacted_your_overall_health" VARCHAR,
  "has_the_fitness_wearable_improved_your_sleep_patterns" VARCHAR,
  "do_you_feel_that_the_fitness_wearable_has_improved_you_e154ae85" VARCHAR,
  "has_using_a_fitness_wearable_influenced_your_decision__94b96233" VARCHAR,
  "has_using_a_fitness_wearable_influenced_your_decision__193eb89e" VARCHAR,
  "has_using_a_fitness_wearable_influenced_your_decision__a5116795" VARCHAR,
  "has_using_a_fitness_wearable_influenced_your_decision__0afe284a" VARCHAR
);

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