For this project our aim is to find what type of apps that attract more users.we're working as data analysts for a company that builds Android and iOS mobile apps that are free to download and install.
The main source of revenue consists of in-app ads. this means the more users that see and engage with the ads in our apps, the better. our goal for this project is to analyze data to help our developers understand what type of apps are likely to attract more users.
First we need to open the data sets and then explore it.
from csv import reader
# for App Store
opened_file1 = open('AppleStore.csv')
read_file1 = reader(opened_file1)
ios = list(read_file1)
ios_header = ios[0]
ios = ios[1:]
# for Google Play Store
opened_file2 = open('googleplaystore.csv')
read_file2 = reader(opened_file2)
android = list(read_file2)
android_header = android[0]
android = android[1:]
To explore the two data sets we created a function named explore_data() that we can repeatedly use to print rows in a readable way.
def explore_data(dataset, start, end, rows_columns= False) :
dataset_slice = dataset[start:end]
for row in dataset_slice :
print(row)
print('\n')
if rows_columns :
print('number of rows:', len(dataset))
print('number of columns:', len(dataset[0]))
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
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
The Google Play data set has a dedicated discussion section, and we can see that one of the discussions describes an error for a row with index 10472
print(android[10472])
['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']
The Google Play data set has a dedicated discussion section, and we can see that one of the discussions describes an error for a row with index 10472
## another approach for getting the defected row
for row in android :
if len(row) != len(android_header) :
print(row)
print('\n')
print(android.index(row))
print('\n')
print(android_header)
['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'] 10472 ['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type', 'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver', 'Android Ver']
print(len(android))
del android[10472]
print(len(android))
10841 10840
If you explore the Google Play data set long enough or look at the discussions section, you'll notice some apps have duplicate entries. For instance, Instagram has four entries :
for app in android :
name = app[0]
if name == 'Instagram' :
print(app)
print('\n')
['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']
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])
print('\n')
print('Number of unique apps:', len(unique_apps)) # this is the actual number of apps we should analyze. the apps we s
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'] Number of unique apps: 9659
We don't want to count certain apps more than once when we analyze data, so we need to remove the duplicate entries and keep only one entry per app. One thing we could do is remove the duplicate rows randomly, but we could probably find a better way.
If you examine the rows we printed for the Instagram app, the main difference happens on the fourth position of each row, which corresponds to the number of reviews. The different numbers show the data was collected at different times.
The higher the number of reviews, the more recent the data should be so we'll only keep the row with the highest number of reviews and remove the other entries for any given app.
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('Actual length:', len(reviews_max))
Actual length: 9659
Now, let's use the reviews_max dictionary to remove the duplicates. For the duplicate cases, we'll only keep the entries with the highest number of reviews. In the code cell below:
android_clean = []
already_added = []
for app in android:
name = app[0]
n_reviews = float(app[3])
if (n_reviews == reviews_max[name]) 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
we use English for the apps we develop at our company if we explore the data long enough, we'll find that both data sets have apps with names that suggest they are not directed toward an English-speaking audience. We're not interested in keeping these apps, so we'll remove them.One way to go about this is to remove each app with a name containing a symbol that is not commonly used in English text — English text usually includes letters from the English alphabet, numbers composed of digits from 0 to 9, punctuation marks (., !, ?, ;), and other symbols (+, *, /).
Each character we use in a string has a corresponding number associated with it. The numbers corresponding to the characters we commonly use in an English text are all in the range 0 to 127, according to the ASCII (American Standard Code for Information Interchange) system and we can get the corresponding number of each character using the ord() built-in function.
We built this function below, and we use the built-in ord() function to find out the corresponding encoding number of each character.
def detect(string):
for character in string :
if ord(character) > 127 :
return False
return True
print(detect('Instagram'))
print(detect('爱奇艺PPS -《欢乐颂2》电视剧热播'))
True False
The function seems to work fine but we found that there are some english app names use emoji or other symbols like ™ that fall outside the ASCII range and this will lead to remove useful apps if we use the function in its current form.
print(detect('Docs To Go™ Free Office Suite'))
print(detect('Instachat 😜'))
False False
To minimize the impact of data loss, we'll only remove an app if its name has more than three characters with corresponding numbers falling outside the ASCII range.This means all English apps with up to three emoji or other special characters will still be labeled as English.
We will do this by editing the function we built above (detect()).
def detect(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(detect('Docs To Go™ Free Office Suite'))
print(detect('Instachat 😜'))
print(detect('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 detect(name) :
android_english.append(app)
for app in ios :
name = app[1]
if detect(name) :
ios_english.append(app)
explore_data(android_english, 0, 3, True)
print('\n')
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 ['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
We can see that we're left with 9614 Android apps and 6183 iOS apps.
As we mentioned in the introduction, we only build apps that are free to download and install, and our main source of revenue consists of in-app ads. Our data sets contain both free and non-free apps; we'll need to isolate only the free apps for our analysis.
android_free = [] # the final dataset
ios_free = [] # the final dataset
for app in android_english :
price = app[7]
if '$' in price :
price = price[1:]
if float(price) == 0 :
android_free.append(app)
for app in ios_english :
price = float(app[4])
if price == 0 :
ios_free.append(app)
print(len(android_free))
print(len(ios_free))
8864 3222
We're left with 8864 Android apps and 3222 iOS apps, which should be enough for our analysis.
As we mentioned in the introduction, our aim is to determine the kinds of apps that are likely to attract more users because our revenue is highly influenced by the number of people using our apps.
To minimize risks , our validation strategy for an app idea is :
Because our end goal is to add the app on both Google Play and the App Store, we need to find app profiles that are successful on both markets.
We will start the analysis by asking ourselves what are the most common genres for each market.To do this we will build frequency table for prime genre column of the App store data set and the genres and category columns of the Google play store data set.
We'll build two functions we can use to analyze the frequency tables:
def freq_table(dataset, index) :
frequency = {}
for row in dataset :
value = row[index]
if value in frequency :
frequency[value] += 1
else :
frequency[value] = 1
frequency_percentage = {}
for value in frequency :
percentage = (frequency[value]/ len(dataset)) * 100
frequency_percentage[value] = percentage
return frequency_percentage
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])
We start by examining the category and generes columns of the Play store.
# for play store
display_table(android_free, 1) # category
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
After analyzing the frequency table of the category column in Google play store data set we see that most of the apps are designed for pracical purposes (family, tools, business, lifestyle, productivity, etc). However, if we investigate this further, we can see that the family category (which accounts for almost 19% of the apps) means mostly games for kids.
# for play store
display_table(android_free, 9) # genres
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
We see that the frequency table of the genres column also is like the category column as both of them most of their apps are designed for practical purposes. we notice also that the Genres column is much more granular (it has more categories). We're only looking for the bigger picture at the moment, so we'll only work with the Category column moving forward.
# for app store
display_table(ios_free, -5) # prime genres
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
We can see that among free english apps more than a half (58.16%) are games. Entertainment apps are close to 8% followed by photo and video apps which are close to 5%. Only 3.66% of the apps are designed for education, followed by social networking apps which amount for 3.29% of the apps in our data set.
The general impression is that app store apps (at least in free english data set) seem as if the most of them is designed for entertainment(games, photo and video, social networking, sports, music) and the apps for practical purpose is rare. However the fact that fun apps are the most numerous doesn't also imply that they also have the greatest number of users.
Up to this point, we found that the App Store is dominated by apps designed for fun, while Google Play shows a more balanced landscape of both practical and for-fun apps. Now we'd like to get an idea about the kind of apps that have most users.
Now, we'd like to get an idea about the kind of apps with the most users. To do so we need to calculate the average number of installs for each app genre.
For Google Play Store we will use the installs
column. As the same information is missing for App Store we will use rating_count_tot
column instead.
To calculate the average number of user ratings per app genre, we will need to :
genre_frequency = freq_table(ios_free, -5)
for genre in genre_frequency :
total = 0 # This variable will store the sum of user ratings specific to each genre.
len_genre = 0 # This variable will store the number of apps specific to each genre.
for app in ios_free :
genre_app = app[-5]
if genre_app == genre :
n_ratings = float(app[5])
total += n_ratings
len_genre += 1
avg_ratings = total / len_genre
print(genre, ':', avg_ratings)
Social Networking : 71548.34905660378 Photo & Video : 28441.54375 Games : 22788.6696905016 Music : 57326.530303030304 Reference : 74942.11111111111 Health & Fitness : 23298.015384615384 Weather : 52279.892857142855 Utilities : 18684.456790123455 Travel : 28243.8 Shopping : 26919.690476190477 News : 21248.023255813954 Navigation : 86090.33333333333 Lifestyle : 16485.764705882353 Entertainment : 14029.830708661417 Food & Drink : 33333.92307692308 Sports : 23008.898550724636 Book : 39758.5 Finance : 31467.944444444445 Education : 7003.983050847458 Productivity : 21028.410714285714 Business : 7491.117647058823 Catalogs : 4004.0 Medical : 612.0
Despite games being the most common apps in the App store it does not have the highest average number of user ratings per app. the genres that have the average number of user rating per app are Navigation
with 86090 averge, Reference
with 74942 average, and Social Networking
with 71548 average.
Let's look deeper into Navigation, Reference and Social Networking categories.
for app in ios_free :
if app[-5] == 'Navigation' :
print(app[1], ':', app[5]) # print name and number of ratings
Waze - GPS Navigation, Maps & Real-time Traffic : 345046 Google Maps - Navigation & Transit : 154911 Geocaching® : 12811 CoPilot GPS – Car Navigation & Offline Maps : 3582 ImmobilienScout24: Real Estate Search in Germany : 187 Railway Route Search : 5
For the Navigation
genre in the app store we see that the Waze app dominates the number of ratings (has the most users) then Google Maps comes after.
for app in ios_free :
if app[-5] == 'Reference' :
print(app[1], ':', app[5])
Bible : 985920 Dictionary.com Dictionary & Thesaurus : 200047 Dictionary.com Dictionary & Thesaurus for iPad : 54175 Google Translate : 26786 Muslim Pro: Ramadan 2017 Prayer Times, Azan, Quran : 18418 New Furniture Mods - Pocket Wiki & Game Tools for Minecraft PC Edition : 17588 Merriam-Webster Dictionary : 16849 Night Sky : 12122 City Maps for Minecraft PE - The Best Maps for Minecraft Pocket Edition (MCPE) : 8535 LUCKY BLOCK MOD ™ for Minecraft PC Edition - The Best Pocket Wiki & Mods Installer Tools : 4693 GUNS MODS for Minecraft PC Edition - Mods Tools : 1497 Guides for Pokémon GO - Pokemon GO News and Cheats : 826 WWDC : 762 Horror Maps for Minecraft PE - Download The Scariest Maps for Minecraft Pocket Edition (MCPE) Free : 718 VPN Express : 14 Real Bike Traffic Rider Virtual Reality Glasses : 8 教えて!goo : 0 Jishokun-Japanese English Dictionary & Translator : 0
For the Reference
genre in the App store we see that the Bible and the Dictionary apps skew up the number of ratings.
for app in ios_free :
if app[-5] == 'Social Networking' :
print(app[1], ':', app[5])
Facebook : 2974676 Pinterest : 1061624 Skype for iPhone : 373519 Messenger : 351466 Tumblr : 334293 WhatsApp Messenger : 287589 Kik : 260965 ooVoo – Free Video Call, Text and Voice : 177501 TextNow - Unlimited Text + Calls : 164963 Viber Messenger – Text & Call : 164249 Followers - Social Analytics For Instagram : 112778 MeetMe - Chat and Meet New People : 97072 We Heart It - Fashion, wallpapers, quotes, tattoos : 90414 InsTrack for Instagram - Analytics Plus More : 85535 Tango - Free Video Call, Voice and Chat : 75412 LinkedIn : 71856 Match™ - #1 Dating App. : 60659 Skype for iPad : 60163 POF - Best Dating App for Conversations : 52642 Timehop : 49510 Find My Family, Friends & iPhone - Life360 Locator : 43877 Whisper - Share, Express, Meet : 39819 Hangouts : 36404 LINE PLAY - Your Avatar World : 34677 WeChat : 34584 Badoo - Meet New People, Chat, Socialize. : 34428 Followers + for Instagram - Follower Analytics : 28633 GroupMe : 28260 Marco Polo Video Walkie Talkie : 27662 Miitomo : 23965 SimSimi : 23530 Grindr - Gay and same sex guys chat, meet and date : 23201 Wishbone - Compare Anything : 20649 imo video calls and chat : 18841 After School - Funny Anonymous School News : 18482 Quick Reposter - Repost, Regram and Reshare Photos : 17694 Weibo HD : 16772 Repost for Instagram : 15185 Live.me – Live Video Chat & Make Friends Nearby : 14724 Nextdoor : 14402 Followers Analytics for Instagram - InstaReport : 13914 YouNow: Live Stream Video Chat : 12079 FollowMeter for Instagram - Followers Tracking : 11976 LINE : 11437 eHarmony™ Dating App - Meet Singles : 11124 Discord - Chat for Gamers : 9152 QQ : 9109 Telegram Messenger : 7573 Weibo : 7265 Periscope - Live Video Streaming Around the World : 6062 Chat for Whatsapp - iPad Version : 5060 QQ HD : 5058 Followers Analysis Tool For Instagram App Free : 4253 live.ly - live video streaming : 4145 Houseparty - Group Video Chat : 3991 SOMA Messenger : 3232 Monkey : 3060 Down To Lunch : 2535 Flinch - Video Chat Staring Contest : 2134 Highrise - Your Avatar Community : 2011 LOVOO - Dating Chat : 1985 PlayStation®Messages : 1918 BOO! - Video chat camera with filters & stickers : 1805 Qzone : 1649 Chatous - Chat with new people : 1609 Kiwi - Q&A : 1538 GhostCodes - a discovery app for Snapchat : 1313 Jodel : 1193 FireChat : 1037 Google Duo - simple video calling : 1033 Fiesta by Tango - Chat & Meet New People : 885 Google Allo — smart messaging : 862 Peach — share vividly : 727 Hey! VINA - Where Women Meet New Friends : 719 Battlefield™ Companion : 689 All Devices for WhatsApp - Messenger for iPad : 682 Chat for Pokemon Go - GoChat : 500 IAmNaughty – Dating App to Meet New People Online : 463 Qzone HD : 458 Zenly - Locate your friends in realtime : 427 League of Legends Friends : 420 豆瓣 : 407 Candid - Speak Your Mind Freely : 398 知乎 : 397 Selfeo : 366 Fake-A-Location Free ™ : 354 Popcorn Buzz - Free Group Calls : 281 Fam — Group video calling for iMessage : 279 QQ International : 274 Ameba : 269 SoundCloud Pulse: for creators : 240 Tantan : 235 Cougar Dating & Life Style App for Mature Women : 213 Rawr Messenger - Dab your chat : 180 WhenToPost: Best Time to Post Photos for Instagram : 158 Inke—Broadcast an amazing life : 147 Mustknow - anonymous video Q&A : 53 CTFxCmoji : 39 Lobi : 36 Chain: Collaborate On MyVideo Story/Group Video : 35 botman - Real time video chat : 7 BestieBox : 0 MATCH ON LINE chat : 0 niconico ch : 0 LINE BLOG : 0 bit-tube - Live Stream Video Chat : 0
The same pattern applies to social networking apps, where the average number is heavily influenced by a few giants like Facebook, Pinterest, Skype, etc. Same applies to music apps, where a few big players like Pandora, Spotify, and Shazam heavily influence the average number.
As we mentioned before that the majority of the apps in the App store are for fun not practical purposes. It could be promising if we create a Refrence app and add different features to get Refrence_Social Networking app (hybrid app).
One thing we could do is take another popular book and turn it into an app and add community feature to let the users discuss the book between each other and make their fanart.
For Google play store we have data about the number of installs in installs
column. The install numbers don't seem precise enough — we can see that most values are open-ended (100+, 1,000+, 5,000+, etc.) but we don't need perfect precision with respect to the number of users. So we'll consider that an app with 100,000+ installs has 100,000 installs, and an app with 1,000,000+ installs has 1,000,000 installs, and so on.
display_table(android_free, 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
categories_frequency = freq_table(android_free, 1)
for category in categories_frequency:
total = 0
len_category = 0
for app in android_free:
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)
ART_AND_DESIGN : 1986335.0877192982 AUTO_AND_VEHICLES : 647317.8170731707 BEAUTY : 513151.88679245283 BOOKS_AND_REFERENCE : 8767811.894736841 BUSINESS : 1712290.1474201474 COMICS : 817657.2727272727 COMMUNICATION : 38456119.167247385 DATING : 854028.8303030303 EDUCATION : 1833495.145631068 ENTERTAINMENT : 11640705.88235294 EVENTS : 253542.22222222222 FINANCE : 1387692.475609756 FOOD_AND_DRINK : 1924897.7363636363 HEALTH_AND_FITNESS : 4188821.9853479853 HOUSE_AND_HOME : 1331540.5616438356 LIBRARIES_AND_DEMO : 638503.734939759 LIFESTYLE : 1437816.2687861272 GAME : 15588015.603248259 FAMILY : 3695641.8198090694 MEDICAL : 120550.61980830671 SOCIAL : 23253652.127118643 SHOPPING : 7036877.311557789 PHOTOGRAPHY : 17840110.40229885 SPORTS : 3638640.1428571427 TRAVEL_AND_LOCAL : 13984077.710144928 TOOLS : 10801391.298666667 PERSONALIZATION : 5201482.6122448975 PRODUCTIVITY : 16787331.344927534 PARENTING : 542603.6206896552 WEATHER : 5074486.197183099 VIDEO_PLAYERS : 24727872.452830188 NEWS_AND_MAGAZINES : 9549178.467741935 MAPS_AND_NAVIGATION : 4056941.7741935486
On first impression we see that the categories that have the highest average number of installs is COMMUNICATION with 38456119, VIDEO_PLAYERS with 24727872, SOCIAL with 23253652 , PHOTOGRAPHY, GAME, Travel_AND_LOCAL, TOOLS, NEWS_AND_MAGAZINES and BOOKS_AND_REFERENCE. So let's dive deeper into those categories.
Let's build a function that displays app name for each category and its number of installs.
def app_installs(category) :
for app in android_free :
category_app = app[1]
app_name = app[0]
if category_app == category:
n_installs = (app[5])
n_installs = n_installs.replace(',', '')
n_installs = n_installs.replace('+', '')
n_installs = float(n_installs)
print(app_name, ':', app[5])
app_installs('COMMUNICATION')
WhatsApp Messenger : 1,000,000,000+ Messenger for SMS : 10,000,000+ My Tele2 : 5,000,000+ imo beta free calls and text : 100,000,000+ Contacts : 50,000,000+ Call Free – Free Call : 5,000,000+ Web Browser & Explorer : 5,000,000+ Browser 4G : 10,000,000+ MegaFon Dashboard : 10,000,000+ ZenUI Dialer & Contacts : 10,000,000+ Cricket Visual Voicemail : 10,000,000+ TracFone My Account : 1,000,000+ Xperia Link™ : 10,000,000+ TouchPal Keyboard - Fun Emoji & Android Keyboard : 10,000,000+ Skype Lite - Free Video Call & Chat : 5,000,000+ My magenta : 1,000,000+ Android Messages : 100,000,000+ Google Duo - High Quality Video Calls : 500,000,000+ Seznam.cz : 1,000,000+ Antillean Gold Telegram (original version) : 100,000+ AT&T Visual Voicemail : 10,000,000+ GMX Mail : 10,000,000+ Omlet Chat : 10,000,000+ My Vodacom SA : 5,000,000+ Microsoft Edge : 5,000,000+ Messenger – Text and Video Chat for Free : 1,000,000,000+ imo free video calls and chat : 500,000,000+ Calls & Text by Mo+ : 5,000,000+ free video calls and chat : 50,000,000+ Skype - free IM & video calls : 1,000,000,000+ Who : 100,000,000+ GO SMS Pro - Messenger, Free Themes, Emoji : 100,000,000+ Messaging+ SMS, MMS Free : 1,000,000+ chomp SMS : 10,000,000+ Glide - Video Chat Messenger : 10,000,000+ Text SMS : 10,000,000+ Talkray - Free Calls & Texts : 10,000,000+ LINE: Free Calls & Messages : 500,000,000+ GroupMe : 10,000,000+ mysms SMS Text Messaging Sync : 1,000,000+ 2ndLine - Second Phone Number : 1,000,000+ Google Chrome: Fast & Secure : 1,000,000,000+ Firefox Browser fast & private : 100,000,000+ Ninesky Browser : 1,000,000+ Dolphin Browser - Fast, Private & Adblock🐬 : 50,000,000+ UC Browser - Fast Download Private & Secure : 500,000,000+ Ghostery Privacy Browser : 1,000,000+ InBrowser - Incognito Browsing : 1,000,000+ Lightning Web Browser : 500,000+ Web Browser : 500,000+ Contacts+ : 10,000,000+ ExDialer - Dialer & Contacts : 10,000,000+ PHONE for Google Voice & GTalk : 1,000,000+ Safest Call Blocker : 1,000,000+ Full Screen Caller ID : 5,000,000+ Hiya - Caller ID & Block : 10,000,000+ Mr. Number-Block calls & spam : 10,000,000+ Should I Answer? : 1,000,000+ RocketDial Dialer & Contacts : 1,000,000+ CIA - Caller ID & Call Blocker : 5,000,000+ Calls Blacklist - Call Blocker : 10,000,000+ Call Control - Call Blocker : 5,000,000+ True Contact - Real Caller ID : 1,000,000+ Video Caller Id : 1,000,000+ Sync.ME – Caller ID & Block : 5,000,000+ Burner - Free Phone Number : 1,000,000+ Caller ID + : 1,000,000+ Gmail : 1,000,000,000+ K-9 Mail : 5,000,000+ myMail – Email for Hotmail, Gmail and Outlook Mail : 10,000,000+ Email TypeApp - Mail App : 1,000,000+ All Email Providers : 1,000,000+ Newton Mail - Email App for Gmail, Outlook, IMAP : 1,000,000+ GO Notifier : 10,000,000+ Mail.Ru - Email App : 50,000,000+ Mail1Click - Secure Mail : 10,000+ Daum Mail - Next Mail : 5,000,000+ mail.com mail : 1,000,000+ SolMail - All-in-One email app : 500,000+ Hangouts : 1,000,000,000+ Vonage Mobile® Call Video Text : 1,000,000+ JusTalk - Free Video Calls and Fun Video Chat : 5,000,000+ Azar : 50,000,000+ LokLok: Draw on a Lock Screen : 500,000+ Discord - Chat for Gamers : 10,000,000+ Messenger Lite: Free Calls & Messages : 100,000,000+ AntennaPict β : 1,000,000+ Talkatone: Free Texts, Calls & Phone Number : 10,000,000+ Kik : 100,000,000+ K-@ Mail - Email App : 100,000+ KakaoTalk: Free Calls & Text : 100,000,000+ K-9 Material (unofficial) : 5,000+ M star Dialer : 100,000+ Free WiFi Connect : 10,000,000+ m:go BiH : 10,000+ N-Com Wizard : 50,000+ Opera Mini - fast web browser : 100,000,000+ Opera Browser: Fast and Secure : 100,000,000+ Opera Mini browser beta : 10,000,000+ Psiphon Pro - The Internet Freedom VPN : 10,000,000+ ICQ — Video Calls & Chat Messenger : 10,000,000+ Telegram : 100,000,000+ AT&T Messages for Tablet : 1,000,000+ T-Mobile DIGITS : 100,000+ Truecaller: Caller ID, SMS spam blocking & Dialer : 100,000,000+ Portable Wi-Fi hotspot : 10,000,000+ AT&T Call Protect : 5,000,000+ U - Webinars, Meetings & Messenger : 500,000+ UC Browser Mini -Tiny Fast Private & Secure : 100,000,000+ /u/app : 10,000+ [verify-U] VideoIdent : 10,000+ Viber Messenger : 500,000,000+ WeChat : 100,000,000+ WhatsApp Business : 10,000,000+ WhatsCall Free Global Phone Call App & Cheap Calls : 10,000,000+ X Browser : 50,000+ Yahoo Mail – Stay Organized : 100,000,000+ Free Adblocker Browser - Adblock & Popup Blocker : 10,000,000+ Adblock Browser for Android : 10,000,000+ CM Browser - Ad Blocker , Fast Download , Privacy : 50,000,000+ Adblock Plus for Samsung Internet - Browse safe. : 1,000,000+ Ad Blocker Turbo - Adblocker Browser : 10,000+ Brave Browser: Fast AdBlocker : 5,000,000+ AG Contacts, Lite edition : 5,000+ Oklahoma Ag Co-op Council : 10+ Bee'ah Employee App : 100+ tournaments and more.aj.2 : 100+ Aj.Petra : 100+ AK Phone : 5,000+ PlacarTv Futebol Ao Vivo : 100,000+ WiFi Access Point (hotspot) : 100,000+ Access Point Names : 10,000+ Puffin Web Browser : 10,000,000+ ClanHQ : 10,000+ Ear Agent: Super Hearing : 5,000,000+ Google Voice : 10,000,000+ Google Allo : 10,000,000+ AU Call Blocker - Block Unwanted Calls Texts 2018 : 1,000+ Baby Monitor AV : 100,000+ AV Phone : 1,000+ AW - free video calls and chat : 1,000,000+ Katalogen.ax : 100+ AZ Browser. Private & Download : 100,000+ BA SALES : 1+ BD Data Plan (3G & 4G) : 500,000+ BD Internet Packages (Updated) : 50,000+ BD Dialer : 10,000+ BD Live Call : 5,000+ Best Browser BD social networking : 10+ Traffic signs BD : 500+ BF Browser by Betfilter - Stop Gambling Today! : 10,000+ My BF App : 50,000+ BH Mail : 1,000+ Zalo – Video Call : 50,000,000+ BJ - Confidential : 10+ BK Chat : 1,000+ Of the wall Arapaho bk : 5+ AC-BL : 50+ BBM - Free Calls & Messages : 100,000,000+ DMR BrandMeister Tool : 10,000+ BBMoji - Your personalized BBM Stickers : 1,000,000+ BN MALLORCA Radio : 1,000+ BQ Partners : 1,000+ BS-Mobile : 50+ ATC Unico BS : 500+ BT One Voice mobile access : 5,000+ BT Messenger : 50,000+ BT One Phone Mobile App : 10,000+ SW-100.tch by Callstel : 1,000,000+ BT MeetMe with Dolby Voice : 100,000+ Bluetooth Auto Connect : 5,000,000+ AudioBT: BT audio GPS/SMS/Text : 50,000+ BV : 100+ Feel Performer : 10,000+ Tiny Call Confirm : 1,000,000+ CB Radio Chat - for friends! : 1,000,000+ CB On Mobile : 100,000+ Virtual Walkie Talkie : 1,000,000+ Channel 19 : 100,000+ Cb browser : 50+ CF Chat: Connecting Friends : 100+ retteMi.ch : 5,000+ Chrome Dev : 5,000,000+ CJ Browser - Fast & Private : 100+ CJ DVD Rentals : 100+ CK Call NEW : 10+ CM Transfer - Share any files with friends nearby : 5,000,000+ mail.co.uk Mail : 5,000+ ClanPlay: Community and Tools for Gamers : 1,000,000+ CQ-Mobile : 1,000+ CQ-Alert : 500+ QRZ Assistant : 100,000+ Pocket Prefix Plus : 10,000+ Ham Radio Prefixes : 10,000+ CS Customizer : 1,000+ CS Browser | #1 & BEST BROWSER : 1,000+ CS Browser Beta : 5,000+ My Vodafone (GR) : 1,000,000+ IZ2UUF Morse Koch CW : 50,000+ C W Browser : 100+ CW Bluetooth SPP : 100+ CW BLE Peripheral Simulator : 500+ Morse Code Reader : 100,000+ Learn Morse Code - G0HYN Learn Morse : 5,000+ Ring : 10,000+ Hyundai CX Conference : 50+ Cy Messenger : 100+ Amadeus GR & CY : 100+ Hlášenírozhlasu.cz : 10+ SMS Sender - sluzba.cz : 1,000+ WEB.DE Mail : 10,000,000+ Your Freedom VPN Client : 5,000,000+ CallApp: Caller ID, Blocker & Phone Call Recorder : 10,000,000+ Rádio Sol Nascente DF : 500+ DG Card : 100+ Whoscall - Caller ID & Block : 10,000,000+ DK Browser : 10+ cluster.dk : 1,000+ DK TEL Dialer : 50+ DM for WhatsApp : 5,000+ DM Talk New : 5,000+ DM - The Offical Messaging App : 10+ DM Tracker : 1,000+ Call Blocker & Blacklist : 1,000+ ReadyOp DT : 1,000+ DU Browser—Browse fast & fun : 10,000,000+ Caller ID & Call Block - DU Caller : 5,000,000+ BlueDV AMBE : 1,000+ DW Contacts & Phone & Dialer : 1,000,000+ Deaf World DW : 10,000+ Ham DX Cluster & Spots Finder : 5,000+ Mircules DX Cluster Lite : 5,000+ 3G DZ Configuration : 50,000+ chat dz : 100+ love sms good morning : 5,000+ Goodbox - Mega App : 100,000+ Call Blocker - Blacklist, SMS Blocker : 1,000,000+ [EF]ShoutBox : 100+ Eg Call : 10,000+ ei : 10+ EJ messenger : 10+ Ek IRA : 10+ Orfox: Tor Browser for Android : 10,000,000+ EO Mumbai : 10+ EP RSS Reader : 100+ Voxer Walkie Talkie Messenger : 10,000,000+ ES-1 : 500+ Hangouts Dialer - Call Phones : 10,000,000+ EU Council : 1,000+ Council Voting Calculator : 5,000+ Have your say on Europe : 500+ Programi podrške EU : 100+ Inbox.eu : 10,000+ Web Browser for Android : 1,000,000+ Everbridge : 100,000+ Best Auto Call Recorder Free : 500+ EZ Wifi Notification : 10,000+ Test Server SMS FA : 5+ Lite for Facebook Messenger : 1,000,000+ FC Browser - Focus Privacy Browser : 1,000+ EHiN-FH conferenceapp : 100+ Carpooling FH Hagenberg : 100+ Wi-Fi Auto-connect : 1,000,000+ Talkie - Wi-Fi Calling, Chats, File Sharing : 500,000+ WeFi - Free Fast WiFi Connect & Find Wi-Fi Map : 1,000,000+ Sat-Fi : 5,000+ Portable Wi-Fi hotspot Free : 100,000+ TownWiFi | Wi-Fi Everywhere : 500,000+ Jazz Wi-Fi : 10,000+ Sat-Fi Voice : 1,000+ Free Wi-fi HotspoT : 50,000+ FN Web Radio : 10+ FNH Payment Info : 10+ MARKET FO : 100+ FO OP St-Nazaire : 100+ FO SODEXO : 100+ FO RCBT : 100+ FO Interim : 100+ FO PSA Sept-Fons : 100+ FO AIRBUS TLSE : 1,000+ FO STELIA Méaulte : 100+ FO AIRBUS Nantes : 100+ Firefox Focus: The privacy browser : 1,000,000+ FP Connect : 100+ FreedomPop Messaging Phone/SIM : 500,000+ FP Live : 10+ HipChat - beta version : 50,000+
We see that there are so many apps so we will narrow down the displayed apps between 100,000,000 and 1,000,000,000 installs.
To do this we will creat a new function to use it as a filtering tool.
def installs_filter(category) :
for app in android_free :
app_name = app[0]
category_app = app[1]
if category_app == category :
n_installs = app[5]
n_installs = n_installs.replace(',', '')
n_installs = n_installs.replace('+', '')
n_installs = float(n_installs)
if 100000000 <= n_installs <= 1000000000 :
print(app_name, ':', app[5])
installs_filter('COMMUNICATION')
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+
From the previous output we conclude that the most installs in COMMUNICATION category is dominated by the big name companies like Facebook , Google and skype which will be hard to compete against.
installs_filter('VIDEO_PLAYERS')
YouTube : 1,000,000,000+ Motorola Gallery : 100,000,000+ VLC for Android : 100,000,000+ Google Play Movies & TV : 1,000,000,000+ MX Player : 500,000,000+ Dubsmash : 100,000,000+ VivaVideo - Video Editor & Photo Movie : 100,000,000+ VideoShow-Video Editor, Video Maker, Beauty Camera : 100,000,000+ Motorola FM Radio : 100,000,000+
installs_filter('SOCIAL')
Facebook : 1,000,000,000+ Facebook Lite : 500,000,000+ Tumblr : 100,000,000+ Pinterest : 100,000,000+ Google+ : 1,000,000,000+ Badoo - Free Chat & Dating App : 100,000,000+ Tango - Live Video Broadcast : 100,000,000+ Instagram : 1,000,000,000+ Snapchat : 500,000,000+ LinkedIn : 100,000,000+ Tik Tok - including musical.ly : 100,000,000+ BIGO LIVE - Live Stream : 100,000,000+ VK : 100,000,000+
installs_filter('PHOTOGRAPHY')
B612 - Beauty & Filter Camera : 100,000,000+ YouCam Makeup - Magic Selfie Makeovers : 100,000,000+ Sweet Selfie - selfie camera, beauty cam, photo edit : 100,000,000+ Google Photos : 1,000,000,000+ Retrica : 100,000,000+ Photo Editor Pro : 100,000,000+ BeautyPlus - Easy Photo Editor & Selfie Camera : 100,000,000+ PicsArt Photo Studio: Collage Maker & Pic Editor : 100,000,000+ Photo Collage Editor : 100,000,000+ Z Camera - Photo Editor, Beauty Selfie, Collage : 100,000,000+ PhotoGrid: Video & Pic Collage Maker, Photo Editor : 100,000,000+ Candy Camera - selfie, beauty camera, photo editor : 100,000,000+ YouCam Perfect - Selfie Photo Editor : 100,000,000+ Camera360: Selfie Photo Editor with Funny Sticker : 100,000,000+ S Photo Editor - Collage Maker , Photo Collage : 100,000,000+ AR effect : 100,000,000+ Cymera Camera- Photo Editor, Filter,Collage,Layout : 100,000,000+ LINE Camera - Photo editor : 100,000,000+ Photo Editor Collage Maker Pro : 100,000,000+
installs_filter('PRODUCTIVITY')
Microsoft Word : 500,000,000+ Microsoft Outlook : 100,000,000+ Microsoft OneDrive : 100,000,000+ Microsoft OneNote : 100,000,000+ Google Keep : 100,000,000+ ES File Explorer File Manager : 100,000,000+ Dropbox : 500,000,000+ Google Docs : 100,000,000+ Microsoft PowerPoint : 100,000,000+ Samsung Notes : 100,000,000+ SwiftKey Keyboard : 100,000,000+ Google Drive : 1,000,000,000+ Adobe Acrobat Reader : 100,000,000+ Google Sheets : 100,000,000+ Microsoft Excel : 100,000,000+ WPS Office - Word, Docs, PDF, Note, Slide & Sheet : 100,000,000+ Google Slides : 100,000,000+ ColorNote Notepad Notes : 100,000,000+ Evernote – Organizer, Planner for Notes & Memos : 100,000,000+ Google Calendar : 500,000,000+ Cloud Print : 500,000,000+ CamScanner - Phone PDF Creator : 100,000,000+
We see the same pattern for the video players category, which is the runner-up with 24,727,872 installs. The market is dominated by apps like Youtube, Google Play Movies & TV, or MX Player. The pattern is repeated for social apps (where we have giants like Facebook, Instagram, Google+, etc.), photography apps (Google Photos and other popular photo editors), or productivity apps (Microsoft Word, Dropbox, Google Calendar, Evernote, etc.).
installs_filter('GAME')
Sonic Dash : 100,000,000+ PAC-MAN : 100,000,000+ Roll the Ball® - slide puzzle : 100,000,000+ Piano Tiles 2™ : 100,000,000+ Pokémon GO : 100,000,000+ Extreme Car Driving Simulator : 100,000,000+ Trivia Crack : 100,000,000+ Angry Birds 2 : 100,000,000+ Candy Crush Saga : 500,000,000+ 8 Ball Pool : 100,000,000+ Subway Surfers : 1,000,000,000+ Candy Crush Soda Saga : 100,000,000+ Clash Royale : 100,000,000+ Clash of Clans : 100,000,000+ Plants vs. Zombies FREE : 100,000,000+ Pou : 500,000,000+ Flow Free : 100,000,000+ My Talking Angela : 100,000,000+ slither.io : 100,000,000+ Cooking Fever : 100,000,000+ Yes day : 100,000,000+ Score! Hero : 100,000,000+ Dream League Soccer 2018 : 100,000,000+ My Talking Tom : 500,000,000+ Sniper 3D Gun Shooter: Free Shooting Games - FPS : 100,000,000+ Zombie Tsunami : 100,000,000+ Helix Jump : 100,000,000+ Crossy Road : 100,000,000+ Temple Run 2 : 500,000,000+ Talking Tom Gold Run : 100,000,000+ Agar.io : 100,000,000+ Bus Rush: Subway Edition : 100,000,000+ Traffic Racer : 100,000,000+ Hill Climb Racing : 100,000,000+ Angry Birds Rio : 100,000,000+ Cut the Rope FULL FREE : 100,000,000+ Hungry Shark Evolution : 100,000,000+ Angry Birds Classic : 100,000,000+ Hill Climb Racing 2 : 100,000,000+ Jetpack Joyride : 100,000,000+ Super Mario Run : 100,000,000+ Glow Hockey : 100,000,000+ Asphalt 8: Airborne : 100,000,000+ Lep's World 2 🍀🍀 : 100,000,000+ Fruit Ninja® : 100,000,000+ Vector : 100,000,000+ Dr. Driving : 100,000,000+ Bike Race Free - Top Motorcycle Racing Games : 100,000,000+ Smash Hit : 100,000,000+ Temple Run : 100,000,000+ Geometry Dash Lite : 100,000,000+ Ant Smasher by Best Cool & Fun Games : 100,000,000+ Angry Birds Star Wars : 100,000,000+ Mobile Legends: Bang Bang : 100,000,000+ Banana Kong : 100,000,000+ Skater Boy : 100,000,000+ Shadow Fight 2 : 100,000,000+ Modern Combat 5: eSports FPS : 100,000,000+ Garena Free Fire : 100,000,000+
For games category we found out that the market is already saturated and developing an app in this genre will not be the best move.
The other categories like Travel_AND_LOCAL, TOOLS, NEWS_AND_MAGAZINES don't seem interesting enough except for BOOKS_AND_REFERENCE which has 8767811 average number of installs.
Let's take a look in BOOKS_AND_REFERENCE category.
app_installs('BOOKS_AND_REFERENCE')
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+
installs_filter('BOOKS_AND_REFERENCE')
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+
This category seems promising to work with as we notice that there is no intense competition between the apps and also there is no giant companies like the other mentioned categories. However this does not mean that there is no apps with high number of installs.
Also we can work on the same idea we have in the App store and develop an app of a popular book an add some features to level up the content of the app as our aim is to recommend an app genre that shows potential for being profitable on both the App Store and Google Play.
In this project, we analyzed data about the App Store and Google Play mobile apps with the goal of recommending an app profile that can be profitable for both markets.
We concluded that taking a popular book (perhaps a more recent book) and turning it into an app could be profitable for both the Google Play and App Store, and add some special features besides the raw version of the book. This might include a community feature to let the users discuss the book between each other and make their fanart.