As a company focused on developing free mobile apps, in-app ads are a key income source. Driving downloads of created applications drives revenue based on increased views and interactions with these in-app ads. Therefore, it is key to identify app profiles which deliver the most profitability in this sense.
The goal of this project it to do just that, identify which app profiles will consistently deliver the most ad traffic, and, therefore, revenue.
from csv import reader
###Google Play Data###
opened_file = open('googleplaystore.csv')
read_file = reader(opened_file)
android = list(read_file)
android_header = android[0]
android = android[1:]
###iOS Store Data###
opened_file = open('AppleStore.csv')
read_file = reader(opened_file)
ios = list(read_file)
ios_header = ios[0]
ios = ios[1:]
def explore_data(dataset, start, end, rows_and_columns=False):
dataset_slice = dataset[start:end]
for row in dataset_slice:
print(row)
print('\n') # adds a new (empty) line after each row
if rows_and_columns:
print('Number of rows:', len(dataset))
print('Number of columns:', len(dataset[0]))
print(android_header)
print('\n')
explore_data(android, 0, 3, True)
['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type', 'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver', 'Android Ver'] ['Photo Editor & Candy Camera & Grid & ScrapBook', 'ART_AND_DESIGN', '4.1', '159', '19M', '10,000+', 'Free', '0', 'Everyone', 'Art & Design', 'January 7, 2018', '1.0.0', '4.0.3 and up'] ['Coloring book moana', 'ART_AND_DESIGN', '3.9', '967', '14M', '500,000+', 'Free', '0', 'Everyone', 'Art & Design;Pretend Play', 'January 15, 2018', '2.0.0', '4.0.3 and up'] ['U Launcher Lite – FREE Live Cool Themes, Hide Apps', 'ART_AND_DESIGN', '4.7', '87510', '8.7M', '5,000,000+', 'Free', '0', 'Everyone', 'Art & Design', 'August 1, 2018', '1.2.4', '4.0.3 and up'] Number of rows: 10841 Number of columns: 13
print(ios_header)
print('\n')
explore_data(ios, 0, 3, True)
['id', 'track_name', 'size_bytes', 'currency', 'price', 'rating_count_tot', 'rating_count_ver', 'user_rating', 'user_rating_ver', 'ver', 'cont_rating', 'prime_genre', 'sup_devices.num', 'ipadSc_urls.num', 'lang.num', 'vpp_lic'] ['284882215', 'Facebook', '389879808', 'USD', '0.0', '2974676', '212', '3.5', '3.5', '95.0', '4+', 'Social Networking', '37', '1', '29', '1'] ['389801252', 'Instagram', '113954816', 'USD', '0.0', '2161558', '1289', '4.5', '4.0', '10.23', '12+', 'Photo & Video', '37', '0', '29', '1'] ['529479190', 'Clash of Clans', '116476928', 'USD', '0.0', '2130805', '579', '4.5', '4.5', '9.24.12', '9+', 'Games', '38', '5', '18', '1'] Number of rows: 7197 Number of columns: 16
The android data set returned 10,841 entries with 13 columns. The columns that appear most useful are 'App', 'Category', 'Reviews', 'Installs', 'Type, 'Price', and 'Genre'.
The ios data set returned 7,197 entries with 16 columns. The columns in this group to focus on appear to be 'track_name', 'currency', 'price', 'rating_count_tot', 'rating_count_ver', and 'prime_genre'. These column names are not as intuitive, so descriptions can be found here.
print(android[10472]) #bad data
print('\n')
print(android_header) #header for column count
print('\n')
print(android[0]) #good row example for comparison
['Life Made WI-Fi Touchscreen Photo Frame', '1.9', '19', '3.0M', '1,000+', 'Free', '0', 'Everyone', '', 'February 11, 2018', '1.0.19', '4.0 and up'] ['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type', 'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver', 'Android Ver'] ['Photo Editor & Candy Camera & Grid & ScrapBook', 'ART_AND_DESIGN', '4.1', '159', '19M', '10,000+', 'Free', '0', 'Everyone', 'Art & Design', 'January 7, 2018', '1.0.0', '4.0.3 and up']
print(len(android))
del android[10472] #only run once
print(len(android))
10841 10840
Above data was excluded due to erroneous data. Upon further review, several rows in the Google Play data are duplicates, as seen when a pass is made through the data looking for 'Instagram'.
for app in android:
name = app[0]
if name == 'Instagram':
print(app)
['Instagram', 'SOCIAL', '4.5', '66577313', 'Varies with device', '1,000,000,000+', 'Free', '0', 'Teen', 'Social', 'July 31, 2018', 'Varies with device', 'Varies with device'] ['Instagram', 'SOCIAL', '4.5', '66577446', 'Varies with device', '1,000,000,000+', 'Free', '0', 'Teen', 'Social', 'July 31, 2018', 'Varies with device', 'Varies with device'] ['Instagram', 'SOCIAL', '4.5', '66577313', 'Varies with device', '1,000,000,000+', 'Free', '0', 'Teen', 'Social', 'July 31, 2018', 'Varies with device', 'Varies with device'] ['Instagram', 'SOCIAL', '4.5', '66509917', 'Varies with device', '1,000,000,000+', 'Free', '0', 'Teen', 'Social', 'July 31, 2018', 'Varies with device', 'Varies with device']
In total, 1181 instances of duplicated data.
duplicate_apps = []
unique_apps = []
for app in android:
name = app[0]
if name in unique_apps:
duplicate_apps.append(name)
else:
unique_apps.append(name)
print('Number of duplicate apps: ', len(duplicate_apps))
print('\n')
print('Examples of duplicate apps:', duplicate_apps[:15])
Number of duplicate apps: 1181 Examples of duplicate apps: ['Quick PDF Scanner + OCR FREE', 'Box', 'Google My Business', 'ZOOM Cloud Meetings', 'join.me - Simple Meetings', 'Box', 'Zenefits', 'Google Ads', 'Google My Business', 'Slack', 'FreshBooks Classic', 'Insightly CRM', 'QuickBooks Accounting: Invoicing & Expenses', 'HipChat - Chat Built for Teams', 'Xero Accounting Software']
The plan to exclude duplicates will be tied to total number of reviews. In theory, a higher review count means the data is more recent. Using this logic, only the row with the highest review count will be included in the final data set.
This will involve creating a dictionary that contains each app name paired with its highest review count; followed by using that dictionary to create a working data set with one entry per app associated with the highest listed review count.
reviews_max = {}
for app in android:
name = app[0]
n_reviews = float(app[3])
if name in reviews_max and reviews_max[name] < n_reviews:
reviews_max[name] = n_reviews
elif name not in reviews_max:
reviews_max[name] = n_reviews
print('Expected length:', len(android) - 1181)
print('Actual length:', len(reviews_max))
Expected length: 9659 Actual length: 9659
android_clean = []
already_added = []
for app in android:
name = app[0]
n_reviews = float(app[3])
if (reviews_max[name] == n_reviews) and (name not in already_added):
android_clean.append(app)
already_added.append(name)
explore_data(android_clean, 0, 3, True)
['Photo Editor & Candy Camera & Grid & ScrapBook', 'ART_AND_DESIGN', '4.1', '159', '19M', '10,000+', 'Free', '0', 'Everyone', 'Art & Design', 'January 7, 2018', '1.0.0', '4.0.3 and up'] ['U Launcher Lite – FREE Live Cool Themes, Hide Apps', 'ART_AND_DESIGN', '4.7', '87510', '8.7M', '5,000,000+', 'Free', '0', 'Everyone', 'Art & Design', 'August 1, 2018', '1.2.4', '4.0.3 and up'] ['Sketch - Draw & Paint', 'ART_AND_DESIGN', '4.5', '215644', '25M', '50,000,000+', 'Free', '0', 'Teen', 'Art & Design', 'June 8, 2018', 'Varies with device', '4.2 and up'] Number of rows: 9659 Number of columns: 13
There are no duplicates in the ios data set.
Our next step will be to remove all non-english apps, given that our company only writes apps for an english speaking audience. To do this we will check text strings against ASCII data (0-127 are english characters).
def is_english(string):
for character in string:
if ord(character) > 127:
return False
return True
print(is_english('Instagram'))
print(is_english('爱奇艺PPS -《欢乐颂2》电视剧热播'))
True False
Quick check of the function is fine, but some english apps utilize special characters. These apps would be excluded using this function as seen below.
print(is_english('Docs To Go™ Free Office Suite'))
print(is_english('Instachat 😜'))
print(ord('™'))
print(ord('😜'))
False False 8482 128540
To minimize the loss of data, only apps with more than 3 characters outside of the ASCII range (0-127) will be excluded.
def is_english(string):
non_ascii = 0
for character in string:
if ord(character) > 127:
non_ascii += 1
if non_ascii > 3:
return False
else:
return True
print(is_english('Docs To Go™ Free Office Suite'))
print(is_english('Instachat 😜'))
print(is_english('爱奇艺PPS -《欢乐颂2》电视剧热播'))
True True False
android_english = []
ios_english = []
for app in android_clean:
name = app[0]
if is_english(name):
android_english.append(app)
for app in ios:
name = app[1]
if is_english(name):
ios_english.append(app)
print(explore_data(android_english, 0, 3, True))
print('\n')
print(explore_data(ios_english, 0, 3, True))
['Photo Editor & Candy Camera & Grid & ScrapBook', 'ART_AND_DESIGN', '4.1', '159', '19M', '10,000+', 'Free', '0', 'Everyone', 'Art & Design', 'January 7, 2018', '1.0.0', '4.0.3 and up'] ['U Launcher Lite – FREE Live Cool Themes, Hide Apps', 'ART_AND_DESIGN', '4.7', '87510', '8.7M', '5,000,000+', 'Free', '0', 'Everyone', 'Art & Design', 'August 1, 2018', '1.2.4', '4.0.3 and up'] ['Sketch - Draw & Paint', 'ART_AND_DESIGN', '4.5', '215644', '25M', '50,000,000+', 'Free', '0', 'Teen', 'Art & Design', 'June 8, 2018', 'Varies with device', '4.2 and up'] Number of rows: 9614 Number of columns: 13 None ['284882215', 'Facebook', '389879808', 'USD', '0.0', '2974676', '212', '3.5', '3.5', '95.0', '4+', 'Social Networking', '37', '1', '29', '1'] ['389801252', 'Instagram', '113954816', 'USD', '0.0', '2161558', '1289', '4.5', '4.0', '10.23', '12+', 'Photo & Video', '37', '0', '29', '1'] ['529479190', 'Clash of Clans', '116476928', 'USD', '0.0', '2130805', '579', '4.5', '4.5', '9.24.12', '9+', 'Games', '38', '5', '18', '1'] Number of rows: 6183 Number of columns: 16 None
The data has now been scrubbed of all inaccurate, duplicated, and non-english apps. It has left data sets of 9,614 rows for Android, and 6,183 rows for ios.
The company only creates free apps, so the last step is to extract all the free apps.
android_final = []
ios_final = []
for app in android_english:
price = app[7]
if price == '0':
android_final.append(app)
for app in ios_english:
price = app[4]
if price == '0.0':
ios_final.append(app)
print(len(android_final))
print(len(ios_final))
8864 3222
The data is now scrubbed down to only include free and english apps. It also excludes all inaccurate and duplicated rows.
We are left with 8864 Android rows, and 3222 ios rows. This constitutes enough data to begin our analysis.
Our goal is to determine which app types attract the most revenue, because revenue is highly influenced by number of app users.
To minimize risks and overhead, our validation strategy for an app idea is comprised of three steps:
The end goal is for apps on both platforms, so it is important to find app profiles that are successful across both operating systems.
To begin, the most common genres for each market need to be identified. To accomplish this frequency tables for certain columns will be created for each data set.
def freq_table(dataset, index):
table = {}
total = 0
for row in dataset:
total += 1
value = row[index]
if value in table:
table[value] += 1
else:
table[value] = 1
table_percentages = {}
for key in table:
percentage = (table[key] / total) * 100
table_percentages[key] = percentage
return table_percentages
def display_table(dataset, index):
table = freq_table(dataset, index)
table_display = []
for key in table:
key_val_as_tuple = (table[key], key)
table_display.append(key_val_as_tuple)
table_sorted = sorted(table_display, reverse = True)
for entry in table_sorted:
print(entry[1], ':', entry[0])
display_table(ios_final, -5)
Games : 58.16263190564867 Entertainment : 7.883302296710118 Photo & Video : 4.9658597144630665 Education : 3.662321539416512 Social Networking : 3.2898820608317814 Shopping : 2.60707635009311 Utilities : 2.5139664804469275 Sports : 2.1415270018621975 Music : 2.0484171322160147 Health & Fitness : 2.0173805090006205 Productivity : 1.7380509000620732 Lifestyle : 1.5828677839851024 News : 1.3345747982619491 Travel : 1.2414649286157666 Finance : 1.1173184357541899 Weather : 0.8690254500310366 Food & Drink : 0.8069522036002483 Reference : 0.5586592178770949 Business : 0.5276225946617008 Book : 0.4345127250155183 Navigation : 0.186219739292365 Medical : 0.186219739292365 Catalogs : 0.12414649286157665
Upon review of the above ios data it is seen that Games are the most common genre, with Entertainment as the runner-up. There is a steep drop-off seen after games that should be noted. The majority of apps are designed for entertainment. This data alone points to avoiding Games as the genre is heavily saturated. This could also point to a high adoption rate, but not a high utilization rate. It would be difficult for an app to really stand-out without massive overhead increases for design.
display_table(android_final, 1)
FAMILY : 18.907942238267147 GAME : 9.724729241877256 TOOLS : 8.461191335740072 BUSINESS : 4.591606498194946 LIFESTYLE : 3.9034296028880866 PRODUCTIVITY : 3.892148014440433 FINANCE : 3.7003610108303246 MEDICAL : 3.531137184115524 SPORTS : 3.395758122743682 PERSONALIZATION : 3.3167870036101084 COMMUNICATION : 3.2378158844765346 HEALTH_AND_FITNESS : 3.0798736462093865 PHOTOGRAPHY : 2.944494584837545 NEWS_AND_MAGAZINES : 2.7978339350180503 SOCIAL : 2.6624548736462095 TRAVEL_AND_LOCAL : 2.33528880866426 SHOPPING : 2.2450361010830324 BOOKS_AND_REFERENCE : 2.1435018050541514 DATING : 1.861462093862816 VIDEO_PLAYERS : 1.7937725631768955 MAPS_AND_NAVIGATION : 1.3989169675090252 FOOD_AND_DRINK : 1.2409747292418771 EDUCATION : 1.1620036101083033 ENTERTAINMENT : 0.9589350180505415 LIBRARIES_AND_DEMO : 0.9363718411552346 AUTO_AND_VEHICLES : 0.9250902527075812 HOUSE_AND_HOME : 0.8235559566787004 WEATHER : 0.8009927797833934 EVENTS : 0.7107400722021661 PARENTING : 0.6543321299638989 ART_AND_DESIGN : 0.6430505415162455 COMICS : 0.6204873646209386 BEAUTY : 0.5979241877256317
Android apps skew in the opposite direction with more apps focused on practicality in lieu of entertainment when Category data is viewed. Family is the highest rated category with Games as runner-up. It should be noted that apps in the Family category are primarily apps for younger children. The focus on practicality is further illustrated when the percentages are listed for the Genre data below.
display_table(android_final, -4)
Tools : 8.449909747292418 Entertainment : 6.069494584837545 Education : 5.347472924187725 Business : 4.591606498194946 Productivity : 3.892148014440433 Lifestyle : 3.892148014440433 Finance : 3.7003610108303246 Medical : 3.531137184115524 Sports : 3.463447653429603 Personalization : 3.3167870036101084 Communication : 3.2378158844765346 Action : 3.1024368231046933 Health & Fitness : 3.0798736462093865 Photography : 2.944494584837545 News & Magazines : 2.7978339350180503 Social : 2.6624548736462095 Travel & Local : 2.3240072202166067 Shopping : 2.2450361010830324 Books & Reference : 2.1435018050541514 Simulation : 2.0419675090252705 Dating : 1.861462093862816 Arcade : 1.8501805054151623 Video Players & Editors : 1.7712093862815883 Casual : 1.7599277978339352 Maps & Navigation : 1.3989169675090252 Food & Drink : 1.2409747292418771 Puzzle : 1.128158844765343 Racing : 0.9927797833935018 Role Playing : 0.9363718411552346 Libraries & Demo : 0.9363718411552346 Auto & Vehicles : 0.9250902527075812 Strategy : 0.9138086642599278 House & Home : 0.8235559566787004 Weather : 0.8009927797833934 Events : 0.7107400722021661 Adventure : 0.6768953068592057 Comics : 0.6092057761732852 Beauty : 0.5979241877256317 Art & Design : 0.5979241877256317 Parenting : 0.4963898916967509 Card : 0.45126353790613716 Casino : 0.42870036101083037 Trivia : 0.41741877256317694 Educational;Education : 0.39485559566787 Board : 0.3835740072202166 Educational : 0.3722924187725632 Education;Education : 0.33844765342960287 Word : 0.2594765342960289 Casual;Pretend Play : 0.236913357400722 Music : 0.2030685920577617 Racing;Action & Adventure : 0.16922382671480143 Puzzle;Brain Games : 0.16922382671480143 Entertainment;Music & Video : 0.16922382671480143 Casual;Brain Games : 0.13537906137184114 Casual;Action & Adventure : 0.13537906137184114 Arcade;Action & Adventure : 0.12409747292418773 Action;Action & Adventure : 0.10153429602888085 Educational;Pretend Play : 0.09025270758122744 Simulation;Action & Adventure : 0.078971119133574 Parenting;Education : 0.078971119133574 Entertainment;Brain Games : 0.078971119133574 Board;Brain Games : 0.078971119133574 Parenting;Music & Video : 0.06768953068592057 Educational;Brain Games : 0.06768953068592057 Casual;Creativity : 0.06768953068592057 Art & Design;Creativity : 0.06768953068592057 Education;Pretend Play : 0.056407942238267145 Role Playing;Pretend Play : 0.04512635379061372 Education;Creativity : 0.04512635379061372 Role Playing;Action & Adventure : 0.033844765342960284 Puzzle;Action & Adventure : 0.033844765342960284 Entertainment;Creativity : 0.033844765342960284 Entertainment;Action & Adventure : 0.033844765342960284 Educational;Creativity : 0.033844765342960284 Educational;Action & Adventure : 0.033844765342960284 Education;Music & Video : 0.033844765342960284 Education;Brain Games : 0.033844765342960284 Education;Action & Adventure : 0.033844765342960284 Adventure;Action & Adventure : 0.033844765342960284 Video Players & Editors;Music & Video : 0.02256317689530686 Sports;Action & Adventure : 0.02256317689530686 Simulation;Pretend Play : 0.02256317689530686 Puzzle;Creativity : 0.02256317689530686 Music;Music & Video : 0.02256317689530686 Entertainment;Pretend Play : 0.02256317689530686 Casual;Education : 0.02256317689530686 Board;Action & Adventure : 0.02256317689530686 Video Players & Editors;Creativity : 0.01128158844765343 Trivia;Education : 0.01128158844765343 Travel & Local;Action & Adventure : 0.01128158844765343 Tools;Education : 0.01128158844765343 Strategy;Education : 0.01128158844765343 Strategy;Creativity : 0.01128158844765343 Strategy;Action & Adventure : 0.01128158844765343 Simulation;Education : 0.01128158844765343 Role Playing;Brain Games : 0.01128158844765343 Racing;Pretend Play : 0.01128158844765343 Puzzle;Education : 0.01128158844765343 Parenting;Brain Games : 0.01128158844765343 Music & Audio;Music & Video : 0.01128158844765343 Lifestyle;Pretend Play : 0.01128158844765343 Lifestyle;Education : 0.01128158844765343 Health & Fitness;Education : 0.01128158844765343 Health & Fitness;Action & Adventure : 0.01128158844765343 Entertainment;Education : 0.01128158844765343 Communication;Creativity : 0.01128158844765343 Comics;Creativity : 0.01128158844765343 Casual;Music & Video : 0.01128158844765343 Card;Action & Adventure : 0.01128158844765343 Books & Reference;Education : 0.01128158844765343 Art & Design;Pretend Play : 0.01128158844765343 Art & Design;Action & Adventure : 0.01128158844765343 Arcade;Pretend Play : 0.01128158844765343 Adventure;Education : 0.01128158844765343
The difference between Category and Genre comes to the forefront when granularity is considered. The big picture is all that needs to be considered, so Category will only be considered going forward.
The next step is to get an idea of which app profiles have the most users. In Android we can just compare the Installs, but ios is a little different. Install data isn't tracked, so user ratings will be substituted using average number of ratings per genre in place of Installs.
genres_ios = freq_table(ios_final, -5)
for genre in genres_ios:
total = 0
len_genre = 0
for app in ios_final:
genre_app = app[-5]
if genre_app == genre:
n_ratings = float(app[5])
total += n_ratings
len_genre += 1
avg_n_ratings = total / len_genre
print(genre, ':', avg_n_ratings)
News : 21248.023255813954 Games : 22788.6696905016 Lifestyle : 16485.764705882353 Travel : 28243.8 Navigation : 86090.33333333333 Medical : 612.0 Utilities : 18684.456790123455 Health & Fitness : 23298.015384615384 Book : 39758.5 Photo & Video : 28441.54375 Music : 57326.530303030304 Catalogs : 4004.0 Reference : 74942.11111111111 Food & Drink : 33333.92307692308 Education : 7003.983050847458 Weather : 52279.892857142855 Business : 7491.117647058823 Productivity : 21028.410714285714 Sports : 23008.898550724636 Finance : 31467.944444444445 Social Networking : 71548.34905660378 Shopping : 26919.690476190477 Entertainment : 14029.830708661417
Navigation has the highest average rating, but this can be attributed to included navigation services or third party apps like WAZE which have a high user count as seen below.
for app in ios_final:
if app[-5] == 'Navigation':
print(app[1], ':', avg_n_ratings)
Waze - GPS Navigation, Maps & Real-time Traffic : 14029.830708661417 Google Maps - Navigation & Transit : 14029.830708661417 Geocaching® : 14029.830708661417 CoPilot GPS – Car Navigation & Offline Maps : 14029.830708661417 ImmobilienScout24: Real Estate Search in Germany : 14029.830708661417 Railway Route Search : 14029.830708661417
Music and Social Networking fall victim to this same phenomenon due to apps for music like Spotify and Pandora; or Facebook and Instagram for social networking.
This pattern makes Navigation, Music, and Social Networking look like more popular genres than they are in actuality.
The Reference category presents this same dilemma because, although the genre has 74,942 ratings, the majority are for two apps: The Bible and Dictionary.com. This is illustrated below as well.
for app in ios_final:
if app[-5] == 'Reference':
print(app[1], ':', avg_n_ratings)
Bible : 14029.830708661417 Dictionary.com Dictionary & Thesaurus : 14029.830708661417 Dictionary.com Dictionary & Thesaurus for iPad : 14029.830708661417 Google Translate : 14029.830708661417 Muslim Pro: Ramadan 2017 Prayer Times, Azan, Quran : 14029.830708661417 New Furniture Mods - Pocket Wiki & Game Tools for Minecraft PC Edition : 14029.830708661417 Merriam-Webster Dictionary : 14029.830708661417 Night Sky : 14029.830708661417 City Maps for Minecraft PE - The Best Maps for Minecraft Pocket Edition (MCPE) : 14029.830708661417 LUCKY BLOCK MOD ™ for Minecraft PC Edition - The Best Pocket Wiki & Mods Installer Tools : 14029.830708661417 GUNS MODS for Minecraft PC Edition - Mods Tools : 14029.830708661417 Guides for Pokémon GO - Pokemon GO News and Cheats : 14029.830708661417 WWDC : 14029.830708661417 Horror Maps for Minecraft PE - Download The Scariest Maps for Minecraft Pocket Edition (MCPE) Free : 14029.830708661417 VPN Express : 14029.830708661417 Real Bike Traffic Rider Virtual Reality Glasses : 14029.830708661417 教えて!goo : 14029.830708661417 Jishokun-Japanese English Dictionary & Translator : 14029.830708661417
Despite this, there might be some potential here. The Bible and the dictionary are two key reference materials for many users, so they are often utilized by those that would download them. Perhaps another reference book could be added with enhanced features. The app could send daily quotes, include the audio book, or even feature quizzes that match the user to characters.
Factoring in the assumptions listed above about games, i.e. over-saturation of the genre and therefore recreational apps, this might be a good fit pending comparison to the Android data.
display_table(android_final, 5)
1,000,000+ : 15.726534296028879 100,000+ : 11.552346570397113 10,000,000+ : 10.548285198555957 10,000+ : 10.198555956678701 1,000+ : 8.393501805054152 100+ : 6.915613718411552 5,000,000+ : 6.825361010830325 500,000+ : 5.561823104693141 50,000+ : 4.7721119133574 5,000+ : 4.512635379061372 10+ : 3.5424187725631766 500+ : 3.2490974729241873 50,000,000+ : 2.3014440433213 100,000,000+ : 2.1322202166064983 50+ : 1.917870036101083 5+ : 0.78971119133574 1+ : 0.5076714801444043 500,000,000+ : 0.2707581227436823 1,000,000,000+ : 0.22563176895306858 0+ : 0.04512635379061372 0 : 0.01128158844765343
The Android Installs are good data, but a little imprecise. The numbers will be left alone and extra characters excluded. This means an app rated at 500+ will be assumed to be 500 even if it could be up to 999. Again, it is just the big picture being considered.
categories_android = freq_table(android_final, 1)
for category in categories_android:
total = 0
len_category = 0
for app in android_final:
category_app = app[1]
if category_app == category:
n_installs = app[5]
n_installs = n_installs.replace('+', '')
n_installs = n_installs.replace(',', '')
total += float(n_installs)
len_category += 1
avg_n_installs = total / len_category
print(category, ':', avg_n_installs)
BOOKS_AND_REFERENCE : 8767811.894736841 PRODUCTIVITY : 16787331.344927534 ART_AND_DESIGN : 1986335.0877192982 EDUCATION : 1833495.145631068 AUTO_AND_VEHICLES : 647317.8170731707 LIFESTYLE : 1437816.2687861272 TOOLS : 10801391.298666667 COMMUNICATION : 38456119.167247385 GAME : 15588015.603248259 PHOTOGRAPHY : 17840110.40229885 VIDEO_PLAYERS : 24727872.452830188 HEALTH_AND_FITNESS : 4188821.9853479853 HOUSE_AND_HOME : 1331540.5616438356 FAMILY : 3695641.8198090694 TRAVEL_AND_LOCAL : 13984077.710144928 NEWS_AND_MAGAZINES : 9549178.467741935 EVENTS : 253542.22222222222 MEDICAL : 120550.61980830671 PERSONALIZATION : 5201482.6122448975 BEAUTY : 513151.88679245283 MAPS_AND_NAVIGATION : 4056941.7741935486 BUSINESS : 1712290.1474201474 SPORTS : 3638640.1428571427 SHOPPING : 7036877.311557789 COMICS : 817657.2727272727 ENTERTAINMENT : 11640705.88235294 SOCIAL : 23253652.127118643 DATING : 854028.8303030303 WEATHER : 5074486.197183099 PARENTING : 542603.6206896552 LIBRARIES_AND_DEMO : 638503.734939759 FOOD_AND_DRINK : 1924897.7363636363 FINANCE : 1387692.475609756
Communication has the highest number of install, but this is skewed by a few apps with over a billion installs as seen below.
for app in android_final:
if app[1] == 'COMMUNICATION' and (app[5] == '1,000,000,000+'
or app[5] == '500,000,000+'
or app[5] == '100,000,000+'):
print(app[0], ':', app[5])
WhatsApp Messenger : 1,000,000,000+ imo beta free calls and text : 100,000,000+ Android Messages : 100,000,000+ Google Duo - High Quality Video Calls : 500,000,000+ Messenger – Text and Video Chat for Free : 1,000,000,000+ imo free video calls and chat : 500,000,000+ Skype - free IM & video calls : 1,000,000,000+ Who : 100,000,000+ GO SMS Pro - Messenger, Free Themes, Emoji : 100,000,000+ LINE: Free Calls & Messages : 500,000,000+ Google Chrome: Fast & Secure : 1,000,000,000+ Firefox Browser fast & private : 100,000,000+ UC Browser - Fast Download Private & Secure : 500,000,000+ Gmail : 1,000,000,000+ Hangouts : 1,000,000,000+ Messenger Lite: Free Calls & Messages : 100,000,000+ Kik : 100,000,000+ KakaoTalk: Free Calls & Text : 100,000,000+ Opera Mini - fast web browser : 100,000,000+ Opera Browser: Fast and Secure : 100,000,000+ Telegram : 100,000,000+ Truecaller: Caller ID, SMS spam blocking & Dialer : 100,000,000+ UC Browser Mini -Tiny Fast Private & Secure : 100,000,000+ Viber Messenger : 500,000,000+ WeChat : 100,000,000+ Yahoo Mail – Stay Organized : 100,000,000+ BBM - Free Calls & Messages : 100,000,000+
The average installs drop by roughly 10 times when all Communication apps with over 100,000,000 installs are excluded, per below
under_100_m = []
for app in android_final:
n_installs = app[5]
n_installs = n_installs.replace('+', '')
n_installs = n_installs.replace(',', '')
if (app[1] == 'COMMUNICATION') and (float(n_installs) < 100000000):
under_100_m.append(float(n_installs))
sum(under_100_m) / len(under_100_m)
3603485.3884615386
This trend follows fairly closely with the Genres mentioned from ios, especially Games and Social. It is worth noting that many of the apps on Android have some big players that would be hard to compete against, i.e. Google. Google has many apps across the categories with the most installs.
Books and Reference seem quite popular on Android, but it is worth looking at more closely given its promise on the ios platform.
for app in android_final:
if app[1] == 'BOOKS_AND_REFERENCE':
print(app[0], ':', app[5])
E-Book Read - Read Book for free : 50,000+ Download free book with green book : 100,000+ Wikipedia : 10,000,000+ Cool Reader : 10,000,000+ Free Panda Radio Music : 100,000+ Book store : 1,000,000+ FBReader: Favorite Book Reader : 10,000,000+ English Grammar Complete Handbook : 500,000+ Free Books - Spirit Fanfiction and Stories : 1,000,000+ Google Play Books : 1,000,000,000+ AlReader -any text book reader : 5,000,000+ Offline English Dictionary : 100,000+ Offline: English to Tagalog Dictionary : 500,000+ FamilySearch Tree : 1,000,000+ Cloud of Books : 1,000,000+ Recipes of Prophetic Medicine for free : 500,000+ ReadEra – free ebook reader : 1,000,000+ Anonymous caller detection : 10,000+ Ebook Reader : 5,000,000+ Litnet - E-books : 100,000+ Read books online : 5,000,000+ English to Urdu Dictionary : 500,000+ eBoox: book reader fb2 epub zip : 1,000,000+ English Persian Dictionary : 500,000+ Flybook : 500,000+ All Maths Formulas : 1,000,000+ Ancestry : 5,000,000+ HTC Help : 10,000,000+ English translation from Bengali : 100,000+ Pdf Book Download - Read Pdf Book : 100,000+ Free Book Reader : 100,000+ eBoox new: Reader for fb2 epub zip books : 50,000+ Only 30 days in English, the guideline is guaranteed : 500,000+ Moon+ Reader : 10,000,000+ SH-02J Owner's Manual (Android 8.0) : 50,000+ English-Myanmar Dictionary : 1,000,000+ Golden Dictionary (EN-AR) : 1,000,000+ All Language Translator Free : 1,000,000+ Azpen eReader : 500,000+ URBANO V 02 instruction manual : 100,000+ Bible : 100,000,000+ C Programs and Reference : 50,000+ C Offline Tutorial : 1,000+ C Programs Handbook : 50,000+ Amazon Kindle : 100,000,000+ Aab e Hayat Full Novel : 100,000+ Aldiko Book Reader : 10,000,000+ Google I/O 2018 : 500,000+ R Language Reference Guide : 10,000+ Learn R Programming Full : 5,000+ R Programing Offline Tutorial : 1,000+ Guide for R Programming : 5+ Learn R Programming : 10+ R Quick Reference Big Data : 1,000+ V Made : 100,000+ Wattpad 📖 Free Books : 100,000,000+ Dictionary - WordWeb : 5,000,000+ Guide (for X-MEN) : 100,000+ AC Air condition Troubleshoot,Repair,Maintenance : 5,000+ AE Bulletins : 1,000+ Ae Allah na Dai (Rasa) : 10,000+ 50000 Free eBooks & Free AudioBooks : 5,000,000+ Ag PhD Field Guide : 10,000+ Ag PhD Deficiencies : 10,000+ Ag PhD Planting Population Calculator : 1,000+ Ag PhD Soybean Diseases : 1,000+ Fertilizer Removal By Crop : 50,000+ A-J Media Vault : 50+ Al-Quran (Free) : 10,000,000+ Al Quran (Tafsir & by Word) : 500,000+ Al Quran Indonesia : 10,000,000+ Al'Quran Bahasa Indonesia : 10,000,000+ Al Quran Al karim : 1,000,000+ Al-Muhaffiz : 50,000+ Al Quran : EAlim - Translations & MP3 Offline : 5,000,000+ Al-Quran 30 Juz free copies : 500,000+ Koran Read &MP3 30 Juz Offline : 1,000,000+ Hafizi Quran 15 lines per page : 1,000,000+ Quran for Android : 10,000,000+ Surah Al-Waqiah : 100,000+ Hisnul Al Muslim - Hisn Invocations & Adhkaar : 100,000+ Satellite AR : 1,000,000+ Audiobooks from Audible : 100,000,000+ Kinot & Eichah for Tisha B'Av : 10,000+ AW Tozer Devotionals - Daily : 5,000+ Tozer Devotional -Series 1 : 1,000+ The Pursuit of God : 1,000+ AY Sing : 5,000+ Ay Hasnain k Nana Milad Naat : 10,000+ Ay Mohabbat Teri Khatir Novel : 10,000+ Arizona Statutes, ARS (AZ Law) : 1,000+ Oxford A-Z of English Usage : 1,000,000+ BD Fishpedia : 1,000+ BD All Sim Offer : 10,000+ Youboox - Livres, BD et magazines : 500,000+ B&H Kids AR : 10,000+ B y H Niños ES : 5,000+ Dictionary.com: Find Definitions for English Words : 10,000,000+ English Dictionary - Offline : 10,000,000+ Bible KJV : 5,000,000+ Borneo Bible, BM Bible : 10,000+ MOD Black for BM : 100+ BM Box : 1,000+ Anime Mod for BM : 100+ NOOK: Read eBooks & Magazines : 10,000,000+ NOOK Audiobooks : 500,000+ NOOK App for NOOK Devices : 500,000+ Browsery by Barnes & Noble : 5,000+ bp e-store : 1,000+ Brilliant Quotes: Life, Love, Family & Motivation : 1,000,000+ BR Ambedkar Biography & Quotes : 10,000+ BU Alsace : 100+ Catholic La Bu Zo Kam : 500+ Khrifa Hla Bu (Solfa) : 10+ Kristian Hla Bu : 10,000+ SA HLA BU : 1,000+ Learn SAP BW : 500+ Learn SAP BW on HANA : 500+ CA Laws 2018 (California Laws and Codes) : 5,000+ Bootable Methods(USB-CD-DVD) : 10,000+ cloudLibrary : 100,000+ SDA Collegiate Quarterly : 500+ Sabbath School : 100,000+ Cypress College Library : 100+ Stats Royale for Clash Royale : 1,000,000+ GATE 21 years CS Papers(2011-2018 Solved) : 50+ Learn CT Scan Of Head : 5,000+ Easy Cv maker 2018 : 10,000+ How to Write CV : 100,000+ CW Nuclear : 1,000+ CY Spray nozzle : 10+ BibleRead En Cy Zh Yue : 5+ CZ-Help : 5+ Modlitební knížka CZ : 500+ Guide for DB Xenoverse : 10,000+ Guide for DB Xenoverse 2 : 10,000+ Guide for IMS DB : 10+ DC HSEMA : 5,000+ DC Public Library : 1,000+ Painting Lulu DC Super Friends : 1,000+ Dictionary : 10,000,000+ Fix Error Google Playstore : 1,000+ D. H. Lawrence Poems FREE : 1,000+ Bilingual Dictionary Audio App : 5,000+ DM Screen : 10,000+ wikiHow: how to do anything : 1,000,000+ Dr. Doug's Tips : 1,000+ Bible du Semeur-BDS (French) : 50,000+ La citadelle du musulman : 50,000+ DV 2019 Entry Guide : 10,000+ DV 2019 - EDV Photo & Form : 50,000+ DV 2018 Winners Guide : 1,000+ EB Annual Meetings : 1,000+ EC - AP & Telangana : 5,000+ TN Patta Citta & EC : 10,000+ AP Stamps and Registration : 10,000+ CompactiMa EC pH Calibration : 100+ EGW Writings 2 : 100,000+ EGW Writings : 1,000,000+ Bible with EGW Comments : 100,000+ My Little Pony AR Guide : 1,000,000+ SDA Sabbath School Quarterly : 500,000+ Duaa Ek Ibaadat : 5,000+ Spanish English Translator : 10,000,000+ Dictionary - Merriam-Webster : 10,000,000+ JW Library : 10,000,000+ Oxford Dictionary of English : Free : 10,000,000+ English Hindi Dictionary : 10,000,000+ English to Hindi Dictionary : 5,000,000+ EP Research Service : 1,000+ Hymnes et Louanges : 100,000+ EU Charter : 1,000+ EU Data Protection : 1,000+ EU IP Codes : 100+ EW PDF : 5+ BakaReader EX : 100,000+ EZ Quran : 50,000+ FA Part 1 & 2 Past Papers Solved Free – Offline : 5,000+ La Fe de Jesus : 1,000+ La Fe de Jesús : 500+ Le Fe de Jesus : 500+ Florida - Pocket Brainbook : 1,000+ Florida Statutes (FL Code) : 1,000+ English To Shona Dictionary : 10,000+ Greek Bible FP (Audio) : 1,000+ Golden Dictionary (FR-AR) : 500,000+ Fanfic-FR : 5,000+ Bulgarian French Dictionary Fr : 10,000+ Chemin (fr) : 1,000+ The SCP Foundation DB fr nn5n : 1,000+
This category houses more than just the Books genre in ios. There are multiple catalogs, apps, and reference materials for subjects like coding, religion, geneaology, and ebook readers.
Again, the trend seems to be a few highly installed apps are distorting our view.
for app in android_final:
if app[1] == 'BOOKS_AND_REFERENCE' and (app[5] == '1,000,000,000+'
or app[5] == '500,000,000+'
or app[5] == '100,000,000+'):
print(app[0], ':', app[5])
Google Play Books : 1,000,000,000+ Bible : 100,000,000+ Amazon Kindle : 100,000,000+ Wattpad 📖 Free Books : 100,000,000+ Audiobooks from Audible : 100,000,000+
Accounting for these apps, there seems to be some room left in the middle of the pack. The list of apps with 1,000,000 to 100,000,000 installs is below.
for app in android_final:
if app[1] == 'BOOKS_AND_REFERENCE' and (app[5] == '1,000,000+'
or app[5] == '5,000,000+'
or app[5] == '10,000,000+'
or app[5] == '50,000,000+'):
print(app[0], ':', app[5])
Wikipedia : 10,000,000+ Cool Reader : 10,000,000+ Book store : 1,000,000+ FBReader: Favorite Book Reader : 10,000,000+ Free Books - Spirit Fanfiction and Stories : 1,000,000+ AlReader -any text book reader : 5,000,000+ FamilySearch Tree : 1,000,000+ Cloud of Books : 1,000,000+ ReadEra – free ebook reader : 1,000,000+ Ebook Reader : 5,000,000+ Read books online : 5,000,000+ eBoox: book reader fb2 epub zip : 1,000,000+ All Maths Formulas : 1,000,000+ Ancestry : 5,000,000+ HTC Help : 10,000,000+ Moon+ Reader : 10,000,000+ English-Myanmar Dictionary : 1,000,000+ Golden Dictionary (EN-AR) : 1,000,000+ All Language Translator Free : 1,000,000+ Aldiko Book Reader : 10,000,000+ Dictionary - WordWeb : 5,000,000+ 50000 Free eBooks & Free AudioBooks : 5,000,000+ Al-Quran (Free) : 10,000,000+ Al Quran Indonesia : 10,000,000+ Al'Quran Bahasa Indonesia : 10,000,000+ Al Quran Al karim : 1,000,000+ Al Quran : EAlim - Translations & MP3 Offline : 5,000,000+ Koran Read &MP3 30 Juz Offline : 1,000,000+ Hafizi Quran 15 lines per page : 1,000,000+ Quran for Android : 10,000,000+ Satellite AR : 1,000,000+ Oxford A-Z of English Usage : 1,000,000+ Dictionary.com: Find Definitions for English Words : 10,000,000+ English Dictionary - Offline : 10,000,000+ Bible KJV : 5,000,000+ NOOK: Read eBooks & Magazines : 10,000,000+ Brilliant Quotes: Life, Love, Family & Motivation : 1,000,000+ Stats Royale for Clash Royale : 1,000,000+ Dictionary : 10,000,000+ wikiHow: how to do anything : 1,000,000+ EGW Writings : 1,000,000+ My Little Pony AR Guide : 1,000,000+ Spanish English Translator : 10,000,000+ Dictionary - Merriam-Webster : 10,000,000+ JW Library : 10,000,000+ Oxford Dictionary of English : Free : 10,000,000+ English Hindi Dictionary : 10,000,000+ English to Hindi Dictionary : 5,000,000+
This portion of the category is full of references in the form of dictionaries and libraries, along with software for reading ebooks. There are several apps for the Quran, which indicates there is potential to turn an existing book into a good reference app. This market is flooded with simple library apps, so whatever book is developed must have new features (quizzes, audio, quote generator, forums) to stand out further. It is also recommended that the