Scatter plot for all 198 wards, total expense vs total road length. In addition color of point denotes: Political Party. Size: ex Mayor (large size) In addition we see the fitted curve & correlation coeff.
Normalised expenses means Expenses per km or road existing in the ward.
Unit expenses (Expenses per kms) on roads
BBMP Budget for FY 2019-20, ward wise
Expenses over 2015 to 2020
Utlisation of BBMP Budget from 2015-16 to 2019-20
Projects between the value of 10L to 1 Crores and who have data stamp availability for FINISHED DATE and PAID DATE in all 4 combinations. The points are shown in jitter mode to expose the density of the projects every year.
Expense to Approved amounts
Sample of 10 wards plotted on Net Spent year on year vs approved amounts on the same job numbers that were undertaken.
We are using this to test our citation function
for checking attendance overlaps
Testing the publishing
Shift duty rosters can be published using spreadsheets but then the actual IN and OUT of an employee is the difficult thing to track - even if they are electronically checked in and out. The data is immense and difficult to visualise in relation to each other. These duty hours line charts are simple to understand and give immediate insights.
Seems a hack attempt from Macau
these mysql logs include all SELECT statements of jupiter along with APIs that start around 22:44
these logs are combined logs for 10 minutes of API firing as well as MySQL: including ejabberd and jupiter_dev
These logs have all UPDATE, INSERT including XMPP MySQL,. Note: We are truncating the scripts at 40 char.
API log merged with MySQL log
filtered on mysql
last 100 queries
Listing of topics and subtopics in class id 22
R API flooding
These are sample logs captured
with color text
TIme plot of API counts
This doc explains when you are capturing data and you know you are going to grow a variable into many levels, how do you maintain the old factors.
just a simple histogram