This wikipedia matrix analysis (PDL) project aims to analyze the PCM available to us to decide on its quality of extraction.
In addition, it allows the export of these csv file.
The API offers us methods that allow to process PCM as well as extract interesting information.
Examples for using OpenCompare WikipediaAnalysis API and services
It is possible to directly display and save the chart of several operations on a PCM dataset
The conformity of the fetaures or products of the whole dataset or only the matrices which are respected some characteristics Occurrences of the features / products of the whole dataset or only some matrices. The similarity of the the whole dataset or only some matrices. Simillarity of the two pcm features . Simillarity of the two pcm products. Simillarity between two pcm. Compare a PCM to the other PCM of the dataset.
#Import a PCM dataset 1- Define the files that you want to load.
2- Load the PCMs Use loadAllPcmFromDirectory(pathOfYourFiles) to get directly a PCM list.
List<PCM> pcmlist = Tools.loadAllPcmFromDirectory("yourPath");The are many PCM in the dataset the API can't analyse because they are no features or products or they contains unreadble characters.
pcmlist = Tools.conformsPCM(pcmlist);Map<String, Long> occurr = new HashMap<>();
occurr = Tools.featuresFrequencies(pcmlist);
//Save features occurencies as csv file
CsvTools.convertMapToCsv(occurr,"myFile.csv");
// To save a JPG image of the chart of occurr
Chart.getChart(occurr,20,"Features occurrencies","Top 20",1300,900,"./myFolder");It is also possible to load a csv file to visualize and save it data as JPG diagram. With the last boolean parameter it is possible show or not the diagram in a popup window after saving it.
Chart.getChart(loadCsvData("myFile.csv"),20,"Features occurrencies","Top 20",1300,900,"./myFolder",true);