{"id":21432395,"url":"https://github.com/lingumd/kickstarter-analysis","last_synced_at":"2026-01-02T19:48:59.349Z","repository":{"id":64594820,"uuid":"503478309","full_name":"lingumd/kickstarter-analysis","owner":"lingumd","description":"Kickstarter campaign analysis on Excel to uncover trends.","archived":false,"fork":false,"pushed_at":"2022-12-11T06:56:44.000Z","size":4224,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T08:43:04.714Z","etag":null,"topics":["countifs-statement","graphing","pivot-tables","sum"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lingumd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-06-14T18:35:32.000Z","updated_at":"2022-12-05T02:39:20.000Z","dependencies_parsed_at":"2022-12-17T12:05:49.091Z","dependency_job_id":null,"html_url":"https://github.com/lingumd/kickstarter-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lingumd%2Fkickstarter-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lingumd%2Fkickstarter-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lingumd%2Fkickstarter-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lingumd%2Fkickstarter-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lingumd","download_url":"https://codeload.github.com/lingumd/kickstarter-analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243945321,"owners_count":20372890,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["countifs-statement","graphing","pivot-tables","sum"],"created_at":"2024-11-22T23:18:24.743Z","updated_at":"2026-01-02T19:48:59.316Z","avatar_url":"https://github.com/lingumd.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# An Analysis of Kickstarter Campaigns\nPerforming analysis on Kickstarter data to uncover trends.\n#### [Kickstarter Analysis](./Kickstarter%20Analysis.xlsx)\n\n# Kickstarting with Excel\n#### [Kickstarter_Challenge](./Kickstarter_Challenge.xlsx)\n\n## Overview of Project\nLouise wants to know how different campaigns did in relation to their launch dates and funding goals.\nPractice Excel skills. Practice analyzing charts and data in Excel in a written report.\n\n### Purpose\nExercise data analysis skills. \nUse knowledge of pivot tables and graphing to visualize campaign outcomes\n(\"successful\",\"failed\", and \"canceled\") based on launch date.\nUse Excel skills to visualize percentage of successful, failed, and canceled plays based on the funding goal amount.\nWrite an analysis of the results.\n\n## Analysis and Challenges\nCreate outcomes based on goals chart and outcomes based on launch date chart and write a written report on them.\n\n### Analysis of Outcomes Based on Launch Date\n![Outcomes Based on Launch Date](./Theater_Outcomes_vs_Launch.png)\nThe number of successful outcomes increases much more in May, stays and decreases much more in December and the winter months.\nThe number of canceled outcomes stays the same throughout the year.\nThe number of failed outcomes increases during the summer months. \nBoth failed and successful outcomes increase in October.\n\n### Analysis of Outcomes Based on Goals\n![Outcomes Based on Goals](./Outcomes_vs_Goals.png)\nThe percent of successful play campaigns are above 50% when the goal is $14,999 or less.\nThe percent of successful play campaigns are above 70% when the goal is $4,999 or less.\nThe percent of successful play campaigns are at 67% when the goal is between $35,000 and $44,999.\nThe percent of failed play campaigns increases as the amount of the goal increases,\nuntil it gets to 80% at the $25,000 to $29,999 range and then decreases. \nThe percent of failed play campaigns increases to above 80% when it gets to be at $45,000 or more.\n\n## Results\n\n### What are two conclusions you can draw about the Outcomes based on Launch Date?\nIn order to have best chance at a successful theater campaign, \nit would be best to launch the campaign in May, June, or July. \nIt would also be best to avoid launching the campaign in the winter months,\nespecially October when the amount of failed campaigns increase.\n\n### What can you conclude about the Outcomes based on Goals?\nIn order to have the best chance at a successful play campaign,\nit would be best to have the goal be set at either less then $4,999 or between $35,000 and $44,999.\nHowever, setting the goal at less than $4,999 would give a more reliable chance to the play campaign at being successful due to the higher amount of data\ncollected in that range versus the $35,000 to $44,999 range.\n#### ![Outcomes Based on Goals](./Outcomes_Based_on_Goals_Table.png)\n\n### What are some limitations of this dataset?\nThe dataset doesn't include other variables that could attribute to these results,\nadvertising events connected to these kickstarters that could've led to these results, \nfirst-hand accounts of why the backers chose to contribute to certain kickstarter campaigns,\nand any other possible variables that could affect the outcome of the kickstarter campaigns. \nDifferent countries may also have different goal amounts because it may cost more or less to\nachieve what needs to be achieved in those campaigns according to different locations.\n\n### What are some other possible tables and/or graphs that we could create?\nOther graphs could've been created from just the outcomes from each country.\nAnother helpful graph could be the outcomes based on staff pick.\nAlso, outcomes based on number of backers might be helpful. \nAll of these can help put together a more complete picture of what leads to different outcomes for different campaigns.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flingumd%2Fkickstarter-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flingumd%2Fkickstarter-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flingumd%2Fkickstarter-analysis/lists"}