SA sample from a data set is to be analyzed. A dataset (from 2018) that contains data on approximately ten thousand Android applications from Google Play which can be downloaded here A dataset that contains data (from 2017) on approximately seven thousand iOS applications from the App Store that It can be downloaded here. The first step is to open the dataset
#opeen dataset apple
open_file= open('AppleStore.csv',encoding='UTF8')
from csv import reader
read_file=reader(open_file)
data=list(read_file)
apple_header=data[0]
apple_data=data[1:]
#open dataset google
open_file2= open('googleplaystore.csv',encoding='UTF8')
from csv import reader
read_file2=reader(open_file2)
data2=list(read_file2)
google_header=data2[0]
google_data=data2[1:]
To facilitate the exploration of the data set, a function called explore_data. In this way we can explore the rows we want. It will also show the number of rows and columns the data set contains.
def explore_data(dataset, start, end, rows_and_columns=False):
dataset_slice=dataset[start:end]
for row in dataset_slice:
print(row)
print('\n') #create a new line empty after each row
if rows_and_columns:
print('Number of rows:', len(dataset))
print('Number of columns:', len(dataset[0]))
To test that the function works correctly, it is used to know the first three rows of the data sets.
explore_data(google_data,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'] ['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
explore_data(apple_data,0,3,True)
['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
Now it would help us a lot to know the name of the columns to be able to carry out the analysis
print(google_header)
print('\n')
print(apple_header)
['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type', 'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver', 'Android Ver'] ['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']
It must be ensured that the data to be analyzed is correct. Why should: Detect inaccurate data and correct or delete it. Detect duplicate data and remove duplicates. In addition, it must be taken into account that the applications created by the company are free and in the English language. Applications that are not in English will be removed Applications that are not free will be removed
There is an error in the Google Play dataset specifically in the Installs column. To check this, the row is printed and compared with other rows.
print(google_header[5])
print(google_data[10472])
print(google_data[10472][5])
print(google_data[10473][5])
print(google_data[10474][5])
Installs ['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'] Free 10,000,000+ 1,000+
Row 10472 of the google dataset is wrong. Therefore it is deleted, to check it the number of rows is printed before and after executing the command del. The command should only be run once del
print(len(google_data))
del google_data[10472] #runs once
print(len(google_data))
10841 10840
Now you want to remove duplicates. This shows the number of duplicates and some of the duplicate applications.
duplicate_names=[]
unique_names=[]
for app in google_data:
name= app[0]
if name in unique_names:
duplicate_names.append(name)
else:
unique_names.append(name)
print('Numero de duplicados:', len(duplicate_names))
print('\n')
print('Duplicados:', duplicate_names[:15])
Numero de duplicados: 1181 Duplicados: ['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']
If there are several duplicates of the same application, they will not be removed randomly. The row with the highest number of reviews will be taken into consideration, since the greater the number of reviews, the more reliable the ratings will be. Create a dictionary where each key is a unique application name, and the value is the highest number of revisions of that application Use the dictionary to create a new dataset, which will have only one entry per application (and we will only select the applications with the highest number of reviews)
reviews_max={}
for row in google_data:
name= row[0]
n_reviews=float(row[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(reviews_max)
We found that there are 1,181 cases where an application occurs more than once, so the length of our dictionary (of unique applications) should be equal to the difference between the length of our dataset and 1,181.
print(len(reviews_max))
9659
Now the reviews_max dictionary is used to remove duplicates. For duplicate cases, we will only keep the entries with the highest number of reviews. In the code cell below:
We start by initializing two empty lists, android_clean and already_added. We loop through the Android dataset and for each iteration: We isolate the application name (row2 [0]) and the number of reviews (row2 [3]). We add the current row (row2) to the android_clean list and the application name (name) to the already_added list if:
android_clean=[]
alredy_added=[]
for row2 in google_data:
name2=row2[0]
n_reviews2=float(row2[3])
if n_reviews2 == reviews_max[name2] and (name2 not in alredy_added):
android_clean.append(row2)
alredy_added.append(name2)
#print(android_clean)
#print(len(android_clean))
As mentioned above, only applications in English should be analyzed. Therefore, applications that do not meet this requirement are now removed. For this, a function is made that detects the characters of the string. The letters used in English range from 0 to 127 of the ASCII code. Therefore, if they are greater than this range they are not in English and return false. However, it should be taken into account that some application names have emojis and characters that are outside the aforementioned range but are still applications in English. For this reason there is a condition that if it has less than 3 characters out of the range, they will be considered Applications in English.
def prueba(cad):
cuenta=0;
for caracteristica in cad:
if ord(caracteristica)>127:
cuenta += 1
if cuenta>3:
return False
else:
return True
#prueba('Instagram')
#prueba('爱奇艺PPS -《欢乐颂2》电视剧热播')
#prueba('Docs To Go™ Free Office Suite')
#prueba('Instachat 😜')
prueba('Docs To Go™ Free😜')
True
Now using the above function, only the applications that are in English for both datasets will be filtered and saved in a separate list.
android_ingles=[]
apple_ingles=[]
for row in android_clean:
name=row[0]
if prueba(name):
android_ingles.append(row)
for row in apple_data:
name=row[1]
if prueba(name):
apple_ingles.append(row)
explore_data(android_ingles, 0, 3, True)
print('\n')
explore_data(apple_ingles, 0, 3, True)
#print(android_ingles[0])
['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
Now from the previously created lists, the applications that are free are filtered, since as mentioned above, only the applications that are free and in English will be analyzed.
android_ing_free=[]
apple_ing_free=[]
for row in android_ingles:
precio=row[7] #column 7 is the price
if precio=='0':
android_ing_free.append(row)
for row in apple_ingles:
precio=float(row[4]) #column 4 is the price
if precio ==0.0:
apple_ing_free.append(row)
explore_data(android_ing_free, 0, 3, True)
explore_data(apple_ing_free, 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: 8864 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: 3222 Number of columns: 16
Our objective is to determine which types of applications attract more users since the more people use the application, the higher the profitability. As we mentioned in the introduction, our goal is to determine the types of applications that are likely to attract more users because our income is highly influenced by the number of people who use our applications.
To minimize risk and overhead, our validation strategy for an application idea consists of three steps:
Create a minimal Android version of the app and add it to *Google Play. If the application has a good response from users, we will develop it further. If the app is profitable after six months, we also create an iOS version of the app and add it to the App Store. Because our ultimate goal is to add the app to both the App Store and Google Play*, we need to find app profiles that are successful in both markets. For example, a profile that could work well for both markets could be a productivity app that uses gamification.
Let's start the analysis by getting an idea of the most common genres for each market. For this, we will create a frequency table for the prime_genre column of the *App Store* dataset and the Genres and Category columns of the *Google Play* dataset. A function is created that returns a dictionary with the category and its frequency percentage
#apple prime_genre:11
# google ----- genres: 9 ------- Category: 1
def freq_table(dataset,index):
freq={}
freq_prop={}
freq_percentage={}
suma=0
for row in dataset:
med=row[index]
if med in freq:
freq[med]+=1
else:
freq[med]=1
for raw in freq: #add the quantity of elements
suma+=(freq[raw])
for raw in freq:
prop=freq[raw]/suma
perce=prop*100
freq_percentage[raw]=perce
return freq_percentage
freq_table(apple_ing_free,11)
{'Social Networking': 3.2898820608317814, 'Photo & Video': 4.9658597144630665, 'Games': 58.16263190564867, 'Music': 2.0484171322160147, 'Reference': 0.5586592178770949, 'Health & Fitness': 2.0173805090006205, 'Weather': 0.8690254500310366, 'Utilities': 2.5139664804469275, 'Travel': 1.2414649286157666, 'Shopping': 2.60707635009311, 'News': 1.3345747982619491, 'Navigation': 0.186219739292365, 'Lifestyle': 1.5828677839851024, 'Entertainment': 7.883302296710118, 'Food & Drink': 0.8069522036002483, 'Sports': 2.1415270018621975, 'Book': 0.4345127250155183, 'Finance': 1.1173184357541899, 'Education': 3.662321539416512, 'Productivity': 1.7380509000620732, 'Business': 0.5276225946617008, 'Catalogs': 0.12414649286157665, 'Medical': 0.186219739292365}
Now that each category has its respective percentage, it needs to be ordered from highest to lowest. To do this, we use the command sorted. However sorted does not order dictionaries well but lists tuples. To guarantee that they are going to be ordered correctly, you must first put the value and then the key. Store it in a list. Then this list is executed the command sorted and is reordered so that first is the key and then the value.
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(apple_ing_free,11)
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
According to the list generated, it is observed that among the free applications in English, the majority are Games (58.16%) followed by Entertainment (7.88%). In general, in the *AppleStore* most applications (free and in English) are designed for entertainment (games, photos and videos, social networks, sports, music). However, the fact that entertainment applications are the most numerous does not mean that they also have the largest number of users.
display_table(android_ing_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
In *Google Play* according to CATEGORY the majority of applications (free and in English) are FAMILY (18.9%) followed by GAMES (9.72%). It can be seen that unlike the *Apple Store* most applications are designed for practical purposes (family, tools, business, lifestyle, productivity, etc.). However, when entering *Google Play, we can see that the family category (which represents almost 19% of applications) mainly means games for children. Despite this, applications for practical purposes represent the highest percentage of applications compared to the Apple Store. This can be confirmed with the list according to Gender of Google Play*
display_table(android_ing_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
In the *Google Play* according to GENDER the majority of applications (free and in English) are TOOLS (8.4%) followed by ENTERTAINMENT (6%). It can be seen that, considering the first ten genres, most applications are designed for practical purposes (family, tools, business, lifestyle, productivity, etc.).
The difference between the Genres and Category columns is not clear, but one thing we can notice is that the Genres column has more categories. Therefore, for now we will work with CATEGORIES
So far, we have discovered that most apps in the *App Store* are designed for fun, while *Google Play* is more balanced with practical and fun apps. Next, we will try to know the type of applications that most users have.
Calculating the average number of installations for each genre of application can help us know which genres have the greatest number of users. The *Google Play* dataset gives you that information in the facilities column, but the *App Store* dataset does not provide you with that data. In this case, the total user ratings found in the rating_count_tot column will have to be used.
Below, we calculate the average number of user ratings by app genre at *App Store*:
prime_genre= freq_table(apple_ing_free,11)
for genre in prime_genre:
total=0 #sum of user ratings
len_genre=0 #number of applications for each gender
for row in apple_ing_free:
genre_app= row[11]
if genre_app==genre:
valor=float(row[5])
total+=valor
len_genre+=1
prom_usuar=total/len_genre
print (genre, ':', prom_usuar)
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
On average, music is one of the most reviewed. Within this genre Pandora - Music & Radio (1126879) and Spotify Music (878563)
for row in apple_ing_free:
if row[11]=='Music':
print(row[1] ,':', row[5])
Pandora - Music & Radio : 1126879 Spotify Music : 878563 Shazam - Discover music, artists, videos & lyrics : 402925 iHeartRadio – Free Music & Radio Stations : 293228 SoundCloud - Music & Audio : 135744 Magic Piano by Smule : 131695 Smule Sing! : 119316 TuneIn Radio - MLB NBA Audiobooks Podcasts Music : 110420 Amazon Music : 106235 SoundHound Song Search & Music Player : 82602 Sonos Controller : 48905 Bandsintown Concerts : 30845 Karaoke - Sing Karaoke, Unlimited Songs! : 28606 My Mixtapez Music : 26286 Sing Karaoke Songs Unlimited with StarMaker : 26227 Ringtones for iPhone & Ringtone Maker : 25403 Musi - Unlimited Music For YouTube : 25193 AutoRap by Smule : 18202 Spinrilla - Mixtapes For Free : 15053 Napster - Top Music & Radio : 14268 edjing Mix:DJ turntable to remix and scratch music : 13580 Free Music - MP3 Streamer & Playlist Manager Pro : 13443 Free Piano app by Yokee : 13016 Google Play Music : 10118 Certified Mixtapes - Hip Hop Albums & Mixtapes : 9975 TIDAL : 7398 YouTube Music : 7109 Nicki Minaj: The Empire : 5196 Sounds app - Music And Friends : 5126 SongFlip - Free Music Streamer : 5004 Simple Radio - Live AM & FM Radio Stations : 4787 Deezer - Listen to your Favorite Music & Playlists : 4677 Ringtones for iPhone with Ringtone Maker : 4013 Bose SoundTouch : 3687 Amazon Alexa : 3018 DatPiff : 2815 Trebel Music - Unlimited Music Downloader : 2570 Free Music Play - Mp3 Streamer & Player : 2496 Acapella from PicPlayPost : 2487 Coach Guitar - Lessons & Easy Tabs For Beginners : 2416 Musicloud - MP3 and FLAC Music Player for Cloud Platforms. : 2211 Piano - Play Keyboard Music Games with Magic Tiles : 1636 Boom: Best Equalizer & Magical Surround Sound : 1375 Music Freedom - Unlimited Free MP3 Music Streaming : 1246 AmpMe - A Portable Social Party Music Speaker : 1047 Medly - Music Maker : 933 Bose Connect : 915 Music Memos : 909 UE BOOM : 612 LiveMixtapes : 555 NOISE : 355 MP3 Music Player & Streamer for Clouds : 329 Musical Video Maker - Create Music clips lip sync : 320 Cloud Music Player - Downloader & Playlist Manager : 319 Remixlive - Remix loops with pads : 288 QQ音乐HD : 224 Blocs Wave - Make & Record Music : 158 PlayGround • Music At Your Fingertips : 150 Music and Chill : 135 The Singing Machine Mobile Karaoke App : 130 radio.de - Der Radioplayer : 64 Free Music - Player & Streamer for Dropbox, OneDrive & Google Drive : 46 NRJ Radio : 38 Smart Music: Streaming Videos and Radio : 17 BOSS Tuner : 13 PetitLyrics : 0
Another genre that has more reviews is references. Within this genre, Bible (985920) and Dictionary.com Dictionary & Thesaurus (200047).
for row in apple_ing_free:
if row[11]=='Reference':
print(row[1] ,':', row[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
Finally, we can see that another genre with a large number of reviews is Health & Fitness. As a recommendation I would propose an application related to this genre because many people want to exercise at home but do not know how to do it or what routines to do. Therefore, an application that serves as an exercise routine and also gives you advice on a balanced diet could be a good alternative.
for row in apple_ing_free:
if row[11]=='Health & Fitness':
print(row[1] ,':', row[5])
Calorie Counter & Diet Tracker by MyFitnessPal : 507706 Lose It! – Weight Loss Program and Calorie Counter : 373835 Weight Watchers : 136833 Sleep Cycle alarm clock : 104539 Fitbit : 90496 Period Tracker Lite : 53620 Nike+ Training Club - Workouts & Fitness Plans : 33969 Plant Nanny - Water Reminder with Cute Plants : 27421 Sworkit - Custom Workouts for Exercise & Fitness : 16819 Clue Period Tracker: Period & Ovulation Tracker : 13436 Headspace : 12819 Fooducate - Lose Weight, Eat Healthy,Get Motivated : 11875 Runtastic Running, Jogging and Walking Tracker : 10298 WebMD for iPad : 9142 8fit - Workouts, meal plans and personal trainer : 8730 Garmin Connect™ Mobile : 8341 Record by Under Armour, connects with UA HealthBox : 7754 Fitstar Personal Trainer : 7496 My Cycles Period and Ovulation Tracker : 7469 Seven - 7 Minute Workout Training Challenge : 6808 RUNNING for weight loss: workout & meal plans : 6407 Lifesum – Inspiring healthy lifestyle app : 5795 Waterlogged - Daily Hydration Tracker : 5000 J&J Official 7 Minute Workout : 4861 Fitbod Workout Log: Strength Lifting Bodybuilding : 4668 Runtastic Six Pack Abs Workout & Core Trainer : 4283 Sweat: Kayla Itsines' Bikini Body Fitness Workouts : 3788 Smart Alarm Clock : sleep cycle & snoring recorder : 3779 My Challenge Tracker : 3682 Charity Miles: Walking & Running Distance Tracker : 3115 Ab & Core Sworkit - Free Workout Trainer : 2901 Simple Habit : 2494 Asana Rebel - Yoga Inspired Fitness : 2459 Life Cycle - Track Your Time Automatically : 1760 Freeletics Bodyweight - Workouts and Training : 1722 Runtastic Results: Workout & Bodyweight Training : 1718 My Water Balance: Daily Drink Tracker & Reminder : 1601 Butt Sworkit - Free Workout Trainer to tone & lift : 960 My Score Plus Weight Loss, Food & Exercise Tracker : 467 Sleep Meister - Sleep Cycle Alarm Lite : 445 Walk for a Dog : 412 Quick Fit - 7 Minute Workout, Abs, and Yoga : 407 Fit Girls Guide : 397 Walking for Weight Loss: training plans, GPS, tips : 397 Zen : 298 Model My Diet - Women - Weight Loss Motivation : 236 Runtastic Butt Workout & Booty Trainer Plans : 222 Dot - A Period & Fertility Tracker : 142 YAZIO – Calorie Counter & Nutrition Tracker : 115 SmartFit - Wristband : 105 Dr. Oz : 99 Crane Connect : 94 Morning Routine : Daily Habit Tracker : 40 Wellbeyond Meditation for Kids : 36 SenseSleep - Train Your Brain To Sleep Better : 22 Snail Sleep-Dream Talk Recording : 19 ameli, l'Assurance Maladie : 8 VIBO RealMassager : 6 FizzUp – Online Fitness Trainer : 5 2Face Fitpack - Dein Trainingsprogramm mit persönlichem Ernährungsplan, Kalorienrechner und Trainingsplan : 0 GYMONDO – Fitness Training für Zuhause : 0 Superdrug : 0 airweave sleep analysis : 0 Sonia Tlev : 0 Intuition Guidances : 0
In *Google play* the largest number of applications are in the category of COMMUNICATIONS, VIDEO_PLAYERS AND PHOTOGRAPHY
category_android=freq_table(android_ing_free,1)
for category in category_android:
total=0 #sum of specific facilities for each gender
len_category=0 #number of specific applications for gender
for row in android_ing_free:
category_app=row[1]
if category_app == category:
instal=row[5]
instal=instal.replace('+','')
instal=instal.replace(',','')
total+=float(instal)
len_category+=1
prom_instal=total/len_category
print(category, ':',prom_instal)
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
In the COMMUNICATIONS category, WhatsApp, Facebook Messenger, Skype, Google Chrome, Gmail and Hangouts stand out, and some others with more than 100 and 500 million installations
for app in android_ing_free:
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+
On the other hand, the HEALTH AND FITNESS category also has, as in the Apple Store, a large number of installations.
for app in android_ing_free:
if app[1] == 'HEALTH_AND_FITNESS':
print(app[0], ':', app[5])
Step Counter - Calorie Counter : 500,000+ Lose Belly Fat in 30 Days - Flat Stomach : 5,000,000+ Pedometer - Step Counter Free & Calorie Burner : 1,000,000+ Six Pack in 30 Days - Abs Workout : 10,000,000+ Lose Weight in 30 Days : 10,000,000+ Pedometer : 10,000,000+ LG Health : 10,000,000+ Step Counter - Pedometer Free & Calorie Counter : 10,000,000+ Pedometer, Step Counter & Weight Loss Tracker App : 10,000,000+ Sportractive GPS Running Cycling Distance Tracker : 1,000,000+ 30 Day Fitness Challenge - Workout at Home : 10,000,000+ Home Workout for Men - Bodybuilding : 1,000,000+ Fat Burning Workout - Home Weight lose : 100,000+ Buttocks and Abdomen : 500,000+ Walking for Weight Loss - Walk Tracker : 100,000+ Running & Jogging : 500,000+ Sleep Sounds : 1,000,000+ Fitbit : 10,000,000+ Lose Belly Fat-Home Abs Fitness Workout : 50,000+ Cycling - Bike Tracker : 500,000+ Abs Training-Burn belly fat : 100,000+ Calorie Counter - EasyFit free : 1,000,000+ Aunjai i lert u : 500,000+ Garmin Connect™ : 10,000,000+ BetterMe: Weight Loss Workouts : 5,000,000+ Bike Computer - GPS Cycling Tracker : 1,000,000+ Six Packs for Man–Body Building with No Equipment : 100,000+ Running Distance Tracker + : 1,000,000+ The TK-App - everything under control : 100,000+ Runkeeper - GPS Track Run Walk : 10,000,000+ Walking: Pedometer diet : 1,000,000+ Recipes for hair and face tried : 500,000+ Abs Workout - 30 Days Fitness App for Six Pack Abs : 100,000+ 8fit Workouts & Meal Planner : 10,000,000+ Keep Trainer - Workout Trainer & Fitness Coach : 1,000,000+ Couch to 10K Running Trainer : 500,000+ PumpUp — Fitness Community : 1,000,000+ Home workouts - fat burning, abs, legs, arms,chest : 1,000,000+ Running Weight Loss Walking Jogging Hiking FITAPP : 1,000,000+ Strava Training: Track Running, Cycling & Swimming : 10,000,000+ Workout Trainer: fitness coach : 10,000,000+ Fabulous: Motivate Me! Meditate, Relax, Sleep : 5,000,000+ StrongLifts 5x5 Workout Gym Log & Personal Trainer : 1,000,000+ Run with Map My Run : 5,000,000+ 7 Minute Workout : 10,000,000+ Workout Tracker & Gym Trainer - Fitness Log Book : 500,000+ Freeletics: Personal Trainer & Fitness Workouts : 10,000,000+ Fitbit Coach : 1,000,000+ JEFIT Workout Tracker, Weight Lifting, Gym Log App : 5,000,000+ Map My Ride GPS Cycling Riding : 1,000,000+ Daily Workouts - Exercise Fitness Routine Trainer : 10,000,000+ Google Fit - Fitness Tracking : 10,000,000+ Weight Loss Running by Verv : 1,000,000+ Sworkit: Workouts & Fitness Plans : 5,000,000+ Map My Fitness Workout Trainer : 1,000,000+ Sports Tracker Running Cycling : 5,000,000+ Seven - 7 Minute Workout Training Challenge : 1,000,000+ Daily Yoga - Yoga Fitness Plans : 5,000,000+ Relax Meditation: Sleep with Sleep Sounds : 1,000,000+ Free Meditation - Take a Break : 100,000+ Meditate OM : 1,000,000+ Yoga - Track Yoga : 500,000+ My Chakra Meditation : 500,000+ Relax with Andrew Johnson Lite : 100,000+ Meditation Music - Relax, Yoga : 1,000,000+ Down Dog: Great Yoga Anywhere : 500,000+ 21-Day Meditation Experience : 100,000+ My Chakra Meditation 2 : 100,000+ Simply Yoga - Fitness Trainer for Workouts & Poses : 1,000,000+ Relax Melodies: Sleep Sounds : 5,000,000+ Simple Habit Meditation : 500,000+ Headspace: Meditation & Mindfulness : 10,000,000+ Yoga Studio: Mind & Body : 100,000+ Pregnancy & Baby Tracker : 1,000,000+ My Cycles Period and Ovulation : 1,000,000+ I’m Expecting - Pregnancy App : 1,000,000+ The Bump Pregnancy Tracker : 1,000,000+ My Days - Ovulation Calendar & Period Tracker ™ : 5,000,000+ Best Ovulation Tracker Fertility Calendar App Glow : 1,000,000+ Eve Period Tracker - Love, Sex & Relationships App : 1,000,000+ Fertility Friend Ovulation App : 1,000,000+ Pregnancy Tracker : 500,000+ Period Tracker : 10,000,000+ Spot On Period, Birth Control, & Cycle Tracker : 500,000+ OvuView: Ovulation and Fertility : 1,000,000+ Period Tracker - Period Calendar Ovulation Tracker : 100,000,000+ Period Tracker Clue: Period and Ovulation Tracker : 10,000,000+ Calorie Counter - MyFitnessPal : 50,000,000+ WomanLog Calendar : 5,000,000+ Geocaching® : 5,000,000+ Map My Hike GPS Hiking : 500,000+ ViewRanger - Hike, Ride or Walk : 1,000,000+ Runtastic Mountain Bike GPS Tracker : 1,000,000+ AllTrails: Hiking, Running & Mountain Bike Trails : 1,000,000+ Water Drink Reminder : 10,000,000+ Zombies, Run! 5k Training (Free) : 50,000+ Tracks : 50,000+ YAZIO Calorie Counter, Nutrition Diary & Diet Plan : 5,000,000+ Technutri - calorie counter, diet and carb tracker : 5,000,000+ Couch to 5K by RunDouble : 1,000,000+ Fooducate Healthy Weight Loss & Calorie Counter : 1,000,000+ Weight Watchers Mobile : 5,000,000+ Walk with Map My Walk : 5,000,000+ My Diet Coach - Weight Loss Motivation & Tracker : 10,000,000+ Endomondo - Running & Walking : 10,000,000+ Nike+ Run Club : 10,000,000+ Lose It! - Calorie Counter : 10,000,000+ Runtastic Running App & Mile Tracker : 10,000,000+ Calorie Counter - MyNetDiary : 1,000,000+ 10 Best Foods for You : 500,000+ MyPlate Calorie Tracker : 1,000,000+ My Diet Diary Calorie Counter : 1,000,000+ Calorie Counter - Macros : 100,000+ Weight Loss Tracker - RecStyle : 1,000,000+ Lark - 24/7 Health Coach : 100,000+ MealLogger-Photo Food Journal : 50,000+ Health and Nutrition Guide : 500,000+ Calorie Counter & Diet Tracker : 1,000,000+ Food Calorie Calculator : 100,000+ Monitor Your Weight : 5,000,000+ Calorie Counter by FatSecret : 10,000,000+ Eat Fit - Diet and Health Free : 100,000+ Self Healing : 500,000+ Happify : 100,000+ Binaural Beats Therapy : 1,000,000+ Pacifica - Stress & Anxiety : 500,000+ Relaxing Sounds : 100,000+ White Sound Pro : 500,000+ Insight Timer - Free Meditation App : 1,000,000+ Self-help Anxiety Management : 500,000+ Brain Waves - Binaural Beats : 500,000+ Prana Breath: Calm & Meditate : 1,000,000+ 7 Cups: Anxiety & Stress Chat : 500,000+ Calm - Meditate, Sleep, Relax : 5,000,000+ White Noise Lite : 1,000,000+ Stop, Breathe & Think: Meditation & Mindfulness : 1,000,000+ Oral-B App : 1,000,000+ f.lux (preview, root-only) : 500,000+ HPlus : 100,000+ H Band 2.0 : 500,000+ H-Connect : 5,000+ H Band : 10,000+ J - Style Pro : 10,000+ K Health : 50,000+ Vi Trainer : 5,000+ 30 Day Ab Challenge : 500,000+ Ultimate Ab & Core Workouts : 1,000,000+ Abs Workout - Burn Belly Fat with No Equipment : 10,000,000+ 6 Pack Promise - Ultimate Abs : 1,000,000+ Abs, Core & Back Workout Challenge : 100,000+ AB Mobile App : 100,000+ Daily Ab Workout - Core & Abs Fitness Exercises : 10,000,000+ Abs workout 7 minutes : 1,000,000+ 30 Day Ab Challenge FREE : 1,000,000+ ABS Workout - Belly workout, 30 days AB : 100,000+ 7 minute abs workout - Daily Ab Workout : 100,000+ 5 Minute Ab Workouts : 50,000+ 30 Day AB Challenge - Lumowell : 10,000+ Ab Workouts : 1,000,000+ Ab Workouts - Ab Generator : 1,000+ Abs workout - 21 Day Fitness Challenge : 1,000,000+ Ladies' Ab Workout FREE : 1,000,000+ 30-Day Ab Challenge Tracker : 10,000+ AF Hydro : 10,000+ AF Nutrition - Integratori : 100+ AH Connect (Adventist Health) : 1,000+ be'ah : 10+ We're Working Out - Al Kavadlo : 50,000+ AQ Dentals : 10+ Sleep as Android Gear Addon : 100,000+ Sleep as Android Garmin Addon : 10,000+ Samsung Health : 500,000,000+ Runtastic Sleep Better: Sleep Cycle & Smart Alarm : 5,000,000+ Twilight: Blue light filter : 5,000,000+ MediBeat for AW - Android (1) : 500+ Q7 SmartWatch : 10,000+ AY Oakmont : 10+ Cures A-Z : 100,000+ BA Accesible : 1,000+ Fitness Dance for Zum.ba Workout Exercise : 50,000+ BD Provider App : 5,000+ BF Scale Health Fitness Tool : 1,000+ Women"s Health Tips(Breast,Face,Body,weight lose) : 1,000,000+ Revita.bg : 10+ Blood Glucose Tracker : 100,000+ BH by Kinomap : 10,000+ BH - Fitness & Nutrition : 1+ FitConsole : 50,000+ Run on Earth : 50,000+ Treadmill Workouts Free (P) : 1,000+ The Daily BJ : 500+ Hungry Girl Diet Bk. Companion : 1,000+ BL ONLINE PERSONAL TRAINING : 5+ Poop Tracker - Toilet Log : 10,000+ BM Pharmacy : 1,000+ BM Physiotherapy Clinic : 100+ My BP Lab : 10,000+ BP Tracker : 1,000+ MI-BP : 50+ Deep Breathe BP : 1,000+ BP Toolbox : 1,000+ Blood pressure : 500,000+ Bacterial Vaginosis : 100+ Bacterial Vaginosis 🇺🇸 : 500+ Bacteria Vaginosis : 1,000,000+ Bacterial vaginosis Treatment - Sexual disease : 500+ Home Remedies for Bacterial Infections : 50+ Benefit Extras Mobile App : 1,000+ Kick Axe Bx : 1+ CB Martial Arts : 10+ CB NFC Pendant : 50+ CB Fit : 10+ C B Patel Health Club : 100+ CF SPOT : 100+ CF Talenti : 100+ Thrive CF : 100+ CF Townsville : 100+ CF Etowah : 100+ Cystic Fibrosis Symptoms, Doctors & Treatments : 100+ CF Themis : 100+ CF Riga : 100+ Casa CF : 500+ CampGladiator : 50,000+ CG Fit Scale : 1,000+ Pharmacy CI - Pharmacies de garde Côte d'Ivoire : 100,000+ Pharmacie de Garde CI et Prix : 100,000+ CJ Fitness : 10,000+ The CJ Rubric : 100+ CK SKILLZ : 50+ CK Life : 100+ CK Pharmacies : 100+ CK Active : 10+ CL-Customer Care : 5+ CL Strength : 50+ The ClubHouse CR : 100+ Evolution Marketing CR : 1,000+ I AM C.T. : 1,000+ Cy's Elma Pharmacy : 10+ DG Fitness : 100+ DG Xplained : 100+ Stop Smoking - EasyQuit free : 500,000+ Dr. Muscle : 10,000+ DS Companion : 50+ Eat Right Diet (by Dt Shreya's Family Diet Clinic) : 10+ Dt. Jyothi Srinivas : 100+ DT NO.I : 1,000+ Bodyworks DW : 10+ D.W Bien Être : 10+ Cloud DX Connected Health : 100+ DY Fitness : 10+ PHARMAGUIDE (DZ) : 5,000+ DEM DZ : 100+ Eb & flow Yoga Studio : 10+ EF Coach : 500+ EF Academy : 50+ Period Tracker, Pregnancy Calculator & Calendar 🌸 : 10,000+ EO App. SelfCompassion to you : 100+ Nike Training Club - Workouts & Fitness Plans : 10,000,000+ Ideal Weight, BMI Calculator : 5,000,000+ Fitness & Bodybuilding : 5,000,000+ CALIOPE EU: Air Quality : 1,000+ Home Workout - No Equipment : 10,000,000+ EW MOTION THERAPY : 10+ SCI-Ex : 1,000+ X your Ex - Break Up Treatment : 5,000+ Dream EZ : 10,000+ FD Fitness : 50+ L!FE Premium Training : 100+ Santa Fe Thrive : 50+ Burn Your Fat With Me! FG : 1,000,000+ FH Calculator : 500+ Restaurant Inspections - FL : 10,000+ Florida Blue : 100,000+
for app in android_ing_free:
if app[1] == 'HEALTH_AND_FITNESS' and (app[5] == '1,000,000,000+'
or app[5] == '500,000,000+'
or app[5] == '100,000,000+'
or app[5] == '10,000,000+'):
print(app[0], ':', app[5])
Six Pack in 30 Days - Abs Workout : 10,000,000+ Lose Weight in 30 Days : 10,000,000+ Pedometer : 10,000,000+ LG Health : 10,000,000+ Step Counter - Pedometer Free & Calorie Counter : 10,000,000+ Pedometer, Step Counter & Weight Loss Tracker App : 10,000,000+ 30 Day Fitness Challenge - Workout at Home : 10,000,000+ Fitbit : 10,000,000+ Garmin Connect™ : 10,000,000+ Runkeeper - GPS Track Run Walk : 10,000,000+ 8fit Workouts & Meal Planner : 10,000,000+ Strava Training: Track Running, Cycling & Swimming : 10,000,000+ Workout Trainer: fitness coach : 10,000,000+ 7 Minute Workout : 10,000,000+ Freeletics: Personal Trainer & Fitness Workouts : 10,000,000+ Daily Workouts - Exercise Fitness Routine Trainer : 10,000,000+ Google Fit - Fitness Tracking : 10,000,000+ Headspace: Meditation & Mindfulness : 10,000,000+ Period Tracker : 10,000,000+ Period Tracker - Period Calendar Ovulation Tracker : 100,000,000+ Period Tracker Clue: Period and Ovulation Tracker : 10,000,000+ Water Drink Reminder : 10,000,000+ My Diet Coach - Weight Loss Motivation & Tracker : 10,000,000+ Endomondo - Running & Walking : 10,000,000+ Nike+ Run Club : 10,000,000+ Lose It! - Calorie Counter : 10,000,000+ Runtastic Running App & Mile Tracker : 10,000,000+ Calorie Counter by FatSecret : 10,000,000+ Abs Workout - Burn Belly Fat with No Equipment : 10,000,000+ Daily Ab Workout - Core & Abs Fitness Exercises : 10,000,000+ Samsung Health : 500,000,000+ Nike Training Club - Workouts & Fitness Plans : 10,000,000+ Home Workout - No Equipment : 10,000,000+
As a recommendation we will propose the category HEALTH_AND_FITNESS. Despite not being one of the largest number of facilities or being the one with the most reviews, it can be a good option since it is not as exploited as the entertainment category. In addition, health and sport are very important for human beings, but due to the situation the world is going through, it is necessary to have as little contact with another person as possible and avoid crowds. Therefore, one way to be healthy is to exercise at home through an application that gives you an exercise routine, that gives you advice on a balanced diet, information on how many calories you burn per exercise and that is something more personalized.