Características

• Campaña en línea
• Financiamiento colectivo
• Gestionadas por fondeadoras

Principal reto

• Elección de proyectos
• Mejorar exito de campañas

Propuesta

• Implementar soluciones de analytics

## Parsed with column specification:
## cols(
##   .default = col_character(),
##   id = col_double(),
##   launched_at = col_datetime(format = ""),
##   deadline = col_datetime(format = ""),
##   duration = col_double(),
##   goal_usd = col_double(),
##   blurb_length = col_double(),
##   name_length = col_double(),
##   start_month = col_double(),
##   end_month = col_double(),
##   usd_pledged = col_double()
## )

## See spec(...) for full column specifications.

## # A tibble: 192,548 x 20
##        id name  currency main_category sub_category launched_at        
##     <dbl> <chr> <chr>    <chr>         <chr>        <dttm>             
##  1 1.69e9 Sock~ USD      games         Tabletop Ga~ 2018-10-30 20:00:02
##  2 2.28e8 Powe~ GBP      comics        Comic Books  2018-08-06 10:00:43
##  3 4.54e8 "Liv~ USD      fashion       Apparel      2017-06-09 15:41:03
##  4 6.29e8 Lost~ USD      music         Country & F~ 2014-09-25 18:46:01
##  5 1.84e8 Qto-~ USD      technology    Gadgets      2016-11-28 16:35:11
##  6 1.22e8 "Aar~ USD      music         Country & F~ 2014-01-22 18:21:37
##  7 4.21e8 Lush~ USD      film & video  Drama        2018-08-17 18:58:18
##  8 1.45e9 The ~ EUR      design        Graphic Des~ 2018-07-17 21:36:14
##  9 8.15e8 The ~ USD      art           Sculpture    2011-09-17 17:02:56
## 10 2.13e9 "\"S~ USD      music         Country & F~ 2013-03-01 17:01:17
## # ... with 192,538 more rows, and 14 more variables: deadline <dttm>,
## #   duration <dbl>, goal_usd <dbl>, city <chr>, state <chr>,
## #   country <chr>, blurb_length <dbl>, name_length <dbl>, status <chr>,
## #   start_month <dbl>, end_month <dbl>, start_Q <chr>, end_Q <chr>,
## #   usd_pledged <dbl>

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

• Hipotesis 1: El éxito depende de la categoría
• Hipotesis 2: El éxito depende del país
• Hipotesis 3: El éxito depende del periodo

## Supervivencia por categoría HK

## Esimacion Log Normal

## Call: survfit(formula = kicks.surv ~ dec, data = kickstarter, type = "kaplan-meier", 
##     conf.type = "plain")
## 
##            n events median 0.95LCL 0.95UCL
## dec=0 181408 110872     32      31      32
## dec=1  11140   6435     37      36      38