Embedded Files
Data frame's columns general information :
App_Name : string
App_Name distributes Uniform, as there are 112087 unique app names in the data frame.
Category : string
Reflecting the leading app categories exist in the data frame.
Rating : float
Histogram of Rating values shows that most app ratings by users are between 4.0 - 5.0.
Rating_Count : int
Histogram of Rating Counts shows that decisively, most apps tend to get up to 10K ratings applied.
Installs : string
Reflecting the most frequent installs count exist in the data frame.
Maximum_Installs : int
Histogram of the actual number of apps installs.
Price : float
Histogram of apps Prices shows that decisively, most apps are free of charge.
Size : float
Histogram of Size column shows that decisively,
most apps weight 0-10MB.
Released : object (date)
Reflecting the most frequent Release dates of apps that exist in the data frame, excluding '13-10-2017' which is the column's mean replacing null values.
'Note: The column has been set as 'Date' in google data studio.
Last_Updated : object (date)
Reflecting the most frequent Last Update dates of apps that exist in the data frame.
Notes:
The column has been set as 'Date' in google data studio.
The data contains apps that have been last updated in 2020 only.
Ad_Supported: bool (text)
Ad_bool: bool (int)
62% of the apps do support advertisements.
In_App_Purhcase: bool (text)
80.9% of the apps do not contain In-App purchases.
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