delve analytics

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Software Analytics (Mobile Apps)--hundred word slash

level six exam is coming, compared to other software, hundred words are more interesting, feel better to remember some words. This software in 10 years will exist, hundred words cut cover from the first high school, 46, postgraduate, to IELTS, TOEFL, SAT, GMAT, GRE and all English Test glossary. For all student groups and some people who need to improve their vocabulary, preparing for English. This software will be updated to improve its own functionality, and users can be free to download to

The binder for Android Analytics 02

. The Transact () method that calls the Mremote object above is the Transact method that calls Binderproxy: Public native Boolean transact (int code, PARCEL data, Parcel reply, int flags) throws Remoteexception;...static Jboole An android_os_binderproxy_transact (jnienv* env, Jobject obj, jint code, Jobject dataobj, Jobject replyobj, Jint flags )//Throws remoteexception{ if (dataobj = = null) { jnithrownullpointerexception (env, NULL); return jni_false; }

The parcel of Android analytics

data size of%p to%d\n", this, mdatasize); ALOGV ("Initstate Setting data pos of%p to%d\n", this, mdatapos); Mobjects = NULL; mobjectssize = 0; mobjectscapacity = 0; Mnextobjecthint = 0; Mhasfds = false; Mfdsknown = true; Mallowfds = true; Mowner = NULL;}In Setdatacapacity, setdatasize and other functions, called to Continuewrite, this function is the actual application of memory functions:status_t Parcel::continuewrite (size_t desired) {//If shrinking, first adjust fo

Smart pointers for Android Analytics

(string8* out, const ref_entry* refs) const { Char buf[128]; while (refs) {Char inc = Refs->ref >= 0? ' + ': '-'; sprintf (buf, "\t%c ID%p (ref%d): \ n", Inc, Refs->id, Refs->ref); Out->append (BUF), #if debug_refs_callstack_enabled out->append (refs->stack.tostring ("\t\t")); #else Out->append ("\t\t (call stacks Disabled)"); #endif refs = refs->next; }} mutable Mutex Mmutex; ref_entry* mstrongrefs; ref_entry* mweakrefs; BOOL mtrackenabled;

Analytics for hackers: how to think about event data

unique properties like lava temperature. in other words, the death events don't follow a strict schema. we'll add or remove data depending on the type of death. event databases are designed to handle any number of arbitrary properties that you send. Event data at scale Minecraft is a huge game. 11 million people have bought the game and they are still selling over 10,000 downloads per day! That's a lot of user records. Consider the volume of event data points compared to entity data points. For

Percona PMM Query Analytics "No Query classes for selected instance and time range" wrong

The complete error message is as follows:There is no data for the selected MySQL instance, time range or search query.QAN API Error: "QH. Profile:no query classes for selected instance and time range. Please check whether your MySQL settings match the recommended.Check the/var/log/qan-api.log file in Docker container for more information.Workaround:PMM using slow log as the query source, you need to turn on slow logging:Slow_query_log=onLong_query_time=0Percona PMM Query

Big data analytics, data mining, machine learning, and finding product improvements for exploding points.

/uv Analysis (Skip) ...Finally find a friend circle to share and collect the hourly data graphThe results found that the friend circle limit flow, basically share the number of times a 15,000 is dry down. After July 14, it is completely limited to the peak of the current level.Through the above analysis, we find that the bottleneck of our system is the limit flow of the circle of friends. Solution business negotiation, or multi-domain. Is there any other way, if the great God knows. please tell

MapReduce Analytics star Weibo data

Org.apache.hadoop.mapreduce.lib.input.fileinputformat;import Org.apache.hadoop.mapreduce.lib.output.fileoutputformat;import Org.apache.hadoop.mapreduce.lib.output.lazyoutputformat;import Org.apache.hadoop.mapreduce.lib.output.multipleoutputs;import Org.apache.hadoop.mapreduce.lib.output.textoutputformat;import Org.apache.hadoop.util.tool;import org.apache.hadoop.util.toolrunner;/** * @ProjectName microblogstar* @PackageName com.buaa* @ClassName weibocount* @ DescriptIon todo* @Author Liu Jishu

EDM Marketing Analytics: Why messages are sent into the trash

At present, we in the process of mass mailing, a very disturbing problem is that they sent the mail into the dustbin, to become spam. The following bloggers for you to analyze this reason, I hope that we can avoid these factors.E-mail is sent too often, resulting in the sentence being spam;EDM Marketing message subject and content of the same, the theme is too long, a lot of special symbols, including sensitive words, text Format fancy, hyperlink over, HTML quality is too poor is to speed up the

R Data Analytics Practical Learning notes (2)

parameter, the parameter is entered when the function is called and an error is made. Conversely, a function with parameters is defined, and when the function is called, there is no input parameter and an error is also found.When a function is defined, a default value is given to the parameter, and when the function is called, no parameter is entered, and the function executes the default parameter value. Such as:The parameter position of the function can be swapped and replaced, with the name

Google Analytics link clicks record

Js:   Google Analytics link clicks history

Big Data analytics services under the customer service system

account identification. For some large and medium-sized enterprises, web1800 unique VIP channel technology for the Enterprise 20% high-quality customers to provide differentiated services, including VIP customers wait for priority management, a number of dedicated services, resource sharing download. web1800 remote Service system to meet the enterprise in the timely acquisition of customer data collection, data security storage, data analysis using the entire service chain needs, is undoubtedly

R-Big Data analytics Mining (2-r crawler)

functions for HTML htmltreeparseDownload form:FiveCapturing seismic data:URL WP Doc Tables Parameter which:Error::(vi) XpathComprehensive Example: R fetching CSDN dataCrawlerAttention:1. Capturing Seismic data2. Multi-threaded Crawler1. Management issues with crawl tasks:A list of crawled URLs needs to be sorted into tasks, and different tasks are handled by different R programsThe processing status of the task requires R to be updated to the task's maintenance listWhen a task hangs, you need t

Memory Analytics Experience Posts

contain. From the strongest to the weakest, different reference (reachable) levels reflect the life cycle of the object. Strong ref (strong quote): Usually we write code that is strong Ref, which corresponds to strong accessibility, and the object is recycled only if you remove the strong. Soft Ref (Soft Reference): corresponds to soft accessibility, so long as there is enough memory, the object is persisted until the memory is found to be tight and no strong Ref is collected. Generally avai

"Programmer's metrics, improving software team Analytics" Reading notes

good, people are also temporary formation. But the latter team was successful and the previous team failed. The author has a few gains1 successful team complex tasks are concentrated in a small number of hands. Other programmers take on a lot of work, but not hard. The team that failed is almost everyone's workload is similar, the average complexity is high.2 successful teams each work in multiple areas. Failed teams each work in a very small area3 Successful team of people innovation, also ini

"Cloud analytics" five "how to choose the right cloud"

code focus on" Orient Cloud Insight Public number Get real-time insight into the depth of public cloud market analysis and insights! In the top right corner, click on the pop-up menu to send to your friends and share your friends. Please search in the public and follow: Dongcloudinsight or Oriental cloud insights. need a point-to-point communication please add: jackyzhang523 Help you understand the results of deep insights related to public clouds. Bring the deepest and fresh

Get geo-location information with GeoIP2 Analytics visitor IPs

place is the display Russian!$/usr/local/bin/mmdblookup--file/mnt/data/geolite2/geolite2-country.mmdb--ip 112.225.35.70 {"Continent": { "Code": "as" 2, access to city information, this data is a bit tangled, the province no problem, the city is a problem! The official presentation address is very precise, perhaps this is the difference between free and charge:)$/usr/local/bin/mmdblookup--file/mnt/data/geolite2/geolite2-city.mmdb--ip 112.225.35.70 {"City": { "geoname_id": 1805753 Becau

"Cloud Analytics", the third "global public cloud stability rankings of the 2014"

allow transactions to expand multiple servers, use test detection and improve system fault tolerance. Both cloud providers and users seem to be getting better at using these services. 650) this.width=650; "Src=" http://mmbiz.qpic.cn/mmbiz/ EAZBLLCAHYCYFSX3F9XMW68JON2AIAIA9ZXSNIBOGWUFJWSP5LICULYIA0DLP31F8PMZBE0WFYJTCQMCIPFY0VT4SAA/640?TP=WEBP "style= "Margin:0px;padding:0px;border:0px;font-size:16px;height:auto;width:auto;" alt= "640?tp=webp"/> scanning QR code attention " East Cloud Insig

Python analytics android logs get Activit load time

Recently, there is a need to compare the time of a single activity load of two versions before and afterIn the Android log we can see similar Info/activitymanager (2486): Displayed activity com.teleca/. contextmenuactivity:240 MS (total 41289 ms) log, which is the load time of the activityFirst get the log through adb logcat > xx.txt, and then analyze the log with the following code:#-*-coding:utf-8-*-#analyze Android adb logcat log extract activity displayed logImportOSImportRedefAndroiddisplay

GE Share-Mobile data analytics businesses need granular operations

of how shop 1th is doing, and when customers enter shop 1th, they enter the buying stage of the guide customers. At this stage, how to increase the purchase amount of each customer, and in the process, to achieve the optimal allocation of goods and various resources, is the key to the operation. Big data once again became the helper of shop 1th.2. Easy for enterprises to subdivide the target users3. Enable enterprises to effectively activate users with big dataEnterprise operation is very impor

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