# Evaluating Progressive Web App Accessibility for People with Disabilities
## 5 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**Dataset/Auditing** & & & & & & & & & & & & \\
**Tools** & **T1 (\%)** & **T2** & **T3** & **T4 (\%)** & **T5** & **T6** & **T7** & **T8** & **T9** & **T10** & **Niche** \\ \hline Bbc.com & 7 & 3 & 4 & 2 & 59 & 47 & 127 & 10 & 17 & 82 & News Blog \\ Nike.com & 19 & 14 & 139 & 31 & 70 & 224 & 109 & 31 & 62 & 116 & Clothing Brand \\ Doordash.com & 22 & 3 & 4 & 33 & 0 & 6 & 14 & 1 & 10 & 19 & Food Ordering \\ Booking.com & 12 & 2 & 41 & 14 & 59 & 15 & 729 & 5 & 198 & 99 & Ticketing \\ Dw.com & 9 & 4 & 15 & 19 & 16 & 25 & 192 & 36 & 288 & 308 & News Blog \\ Usatoday.com & 18 & 9 & 33 & 22 & 12 & 99 & 483 & 126 & 175 & 44 & News Blog \\ Harrods.com & 11 & 1 & 0 & 33 & 10 & 739 & 61 & 16 & 28 & 46 & Luxury cosme \\ Hopper.com & 89 & 4 & 8 & 8 & 0 & 32 & 131 & 48 & 57 & 131 & Travel Website \\ NbNenews.com & 43 & 30 & 64 & 22 & 454 & 33 & 472 & 29 & 72 & 106 & News Blog \\ American.com & 28 & 27 & 19 & 21 & 22 & 79 & 41 & 15 & 25 & 19 & Car Rental \\ Gumtree.com & 5 & 6 & 64 & 17 & 14 & 11 & 237 & 47 & 159 & 178 & Free Classifieds \\ Facebook.com & 11 & 3 & 1 & 0 & 4 & 22 & 79 & 27 & 70 & 92 & Social Network \\ Expedia.com & 9 & 3 & 0 & 22 & 43 & 108 & 30 & 7 & 62 & 57 & Travel Booking \\ Zillow.com & 8 & 2 & 2 & 24 & 11 & 82 & 20 & 1 & 7 & 14 & Property Website \\ Snapdeal.com & 35 & 227 & 87 & 7 & 27 & 309 & 566 & 431 & 683 & 276 & Markeplace \\ Weather-forecast.com & 13 & 4 & 5 & 5 & 11 & 21 & 62 & 7 & 149 & 125 & Weather Platform \\ Royalcarbibbean.com & 21 & 13 & 3 & 12 & 113 & 397 & 133 & 22 & 91 & 218 & Travel Booking \\ Dailymail.co.uk & 28 & 50 & 145 & 20 & 45 & 348 & 2134 & 217 & 1067 & 530 & Newspaper \\ Ebay.com & 8 & 26 & 27 & 12 & 23 & 319 & 142 & 43 & 80 & 115 & Markeplace \\ Amazon.com & 12 & 39 & 79 & 14 & 38 & 199 & 191 & 54 & 159 & 168 & Markeplace \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Accessibility compliance errors for non-PWA websites. \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline
**Dataset/Auditing** & & & & & & & & & & & \\
**Tools** & **T1 (\%)** & **T2** & **T3** & **T4 (\%)** & **T5** & **T6** & **T7** & **T8** & **T9** & **T10** & **Niche** \\ \hline Nikkei.com & 18 & 102 & 88 & 15 & 5 & 1000 & 450 & 56 & 55 & 115 & News Blog \\ George.com & 11 & 2 & 10 & 17 & 30 & 63 & 49 & 10 & 18 & 62 & Clothing Brand \\ Ele.me & 12 & 1 & 2 & 19 & 0 & 5 & 23 & 7 & 10 & 30 & Food Ordering \\ BookYShow.com & 4 & 6 & 127 & 26 & 11 & 851 & 252 & 233 & 242 & 32 & Ticketing \\ Forbes.com & 11 & 6 & 38 & 26 & 12 & 69 & 33 & 12 & 7 & 30 & News Blog \\ Infobae.com & 3 & 1 & 6 & 17 & 11 & 21 & 123 & 7 & 257 & 214 & Digital-only news \\ Lancome-usa.com & 8 & 1 & 13 & 14 & 72 & 154 & 166 & 0 & 85 & 190 & Luxury cosme \\ Makeymtrip.com & 14 & 4 & 1 & 23 & 5 & 7 & 161 & 22 & 22 & 199 & Travel Booking \\ Mynet.com & 8 & 3 & 8 & 17 & 0 & 54 & 353 & 23 & 290 & 257 & News Blog \\ Olacabs.com & 22 & 166 & 1 & 33 & 1 & 50 & 150 & 83 & 163 & 139 & Car Rental \\ Olx.in & 33 & 13 & 1 & 30 & 5 & 65 & 50 & 40 & 78 & 52 & Free Classifieds \\
**Twitter Lite** & 26 & 11 & 2 & 0 & 1 & 24 & 53 & 38 & 34 & 40 & Social Network \\ Wego.com & 11 & 2 & 19 & 12 & 0 & 3 & 386 & 90 & 162 & 190 & Travel Booking \\ Housing.com & 41 & 12 & 9 & 12 & 4 & 26 & 117 & 26 & 22 & 54 & Property Website \\ Alibaba.com & 51 & 153 & 171 & 4 & 23 & 2 & 286 & 185 & 270 & 371 & Markeplace \\ Weather.com & 12 & 2 & 6 & 26 & 2 & 129 & 21 & 4 & 9 & 162 & Weather Platform \\ Carnival.com & 25 & 9 & 19 & 35 & 54 & 185 & 130 & 28 & 39 & 80 & Travel Booking \\ Washingtonpost.com & 13 & 39 & 5 & 0 & 17 & 254 & 65 & 47 & 58 & 64 & News Blog \\ Alexpress.com & 58 & 26 & 46 & 2 & 0 & 16 & 211 & 83 & 215 & 183 & Markeplace \\ Extra.com & 25 & 64 & 143 & 9 & 15 & 129 & 152 & 85 & 50 & 113 & Markeplace \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Accessibility compliance errors for PWA websites. Figure 4 presents the Python libraries we have used for our data analysis and Figure 5 presents the way we imported our dataset into Pandas Data Frame.