This is a clusterplot of the 25-week sales of each category, and shows the correlation between the sales of every pair of categories.
The number in each cell represents the correlation between a pair of categories. For example, on the top left, 13% is the correlation between sales of 'COORDINATE' and 'LEGGING'. Diagonally opposite to that is the scatterplot of COORDINATE AND LEGGING weekly sales. The colour of each cell is based on the degree of correlation.
From this, we observe that two categories of products -- HEAVY WINTER JACKET and KNITS JACKET -- are highly correlated with each other, but negatively correlated with most other products. People come in to buy these, or other products, but rarely both.
Two other groups of categories emerge. For example, T-SHIRT, KNITS TOP, FOOTWEAR, SHORTS and ACCESSORIES are all positively correlated amongst themselves, and form a group. Specifically, T-SHIRT and KNITS TOP have a very high correlation: 96%. Similarly, LEGGING, SWEAT SHIRT, TROUSER, etc are positively correlated. SWEAT SHIRT and TROUSER as a category have a 92% correlation.
The most negatively correlated products are LEGGING and ACCESSORIES, at -47%. HEAVY WINTER JACKET is negatively correlated with every single category except KNITS JACKET.
This is a clusterplot of the 25-week sales of each season's catalogue, and shows the correlation between the sales of every pair.
The number in each cell represents the correlation between a pair of season's catalogue. For example, on the top left, 74% is the correlation between sales of 'WINTER 09 - III' and 'WINTER 09 - II'. Diagonally opposite to that is the scatterplot of WINTER 09 - III and WINTER 09 - II weekly sales. The colour of each cell is based on the degree of correlation.
From this, we observe that the SUMMER 11 - I catalogue sales is negatively correlated with every other catalogue over the last 25 weeks. People come in to buy these, or other products, but rarely both.
Two groups of categories emerge. WINTER 11 - I and WINTER 11 - II often sold well together in the last 25 weeks. The WINTER 09 and WINTER 10 catalogues, along with the SUMMARY 10 catalogue, sold well together too. But across these categories, there is a negative correlation.
This is a clusterplot of the 25-week sales of each type of channel (the 'REVENUE' column), and shows the correlation between the sales of every pair of channels.
The number in each cell represents the correlation between a pair of channels. For example, on the top left, -2% is the correlation between sales of 'FSO' and 'EBO'. Diagonally opposite to that is the scatterplot of FSO and EBO weekly sales. The colour of each cell is based on the degree of correlation.
From this, we observe that the FSO sales is neutrally or negatively correlated with almost every other channel over the last 25 weeks. The sales of this channel appears mildly counter-cyclic, or at least unaffected, by most other channels.
LFD sales is heavily counter-cyclic to PDS and EBO sales, but highly correlated with LFS, LPCNF and PDO sales. In general, when PDO, LPCNF or LFD sales increases, EBO and PDS sales dips a bit, and vice versa.
The intensity of colour in each cell indicates sales quantity. White is no sales, blue is high sales, by quantity.
Each box represents one Sub Category (grouped together by Category and Main Category). The size of the box represents the total sales quantity over the last 25 weeks. The colour of the box represents the growth in the last week (i.e. Week 25 over Week 24).
Group | Sales | East | North | South | West |
---|---|---|---|---|---|
T-SHIRT | |||||
FOOTWEAR | |||||
KNITS TOP | |||||
ACCESSORIES | |||||
BARMUDA | |||||
CAPRI | |||||
SWEAT SHIRT | |||||
SHORTS | |||||
KNITS JACKET | |||||
TROUSER | |||||
LEGGING | |||||
HEAVY WINTER JACKET | |||||
TRACK PANT | |||||
WOVEN JACKET | |||||
CO-ORDINATE |
This table shows the Zone-wise growth by Category. Each row is one Category. The Sales column shows the total 25 week sales. The bar-chart in each cell shows the Zone-wise sales over 25 weeks. The line graph is the 4-week moving average. The colour indicates growth over the last 4 weeks (Red is negative, Green is positive).
Group | Sales | East | North | South | West |
---|---|---|---|---|---|
MEN | |||||
UNISEX | |||||
WOMEN |
This table shows the Zone-wise growth by Gender. Each row is one Gender. The Sales column shows the total 25 week sales. The bar-chart in each cell shows the Zone-wise sales over 25 weeks. The line graph is the 4-week moving average. The colour indicates growth over the last 4 weeks (Red is negative, Green is positive).
Group | Sales | East | North | South | West |
---|---|---|---|---|---|
2011Q1 | |||||
2010Q1 | |||||
2010Q4 | |||||
2009Q1II | |||||
2011Q4 | |||||
2009Q1 | |||||
2011Q4I | |||||
2009Q1I |
This table shows the Zone-wise growth by Season. Each row is one Season. The Sales column shows the total 25 week sales. The bar-chart in each cell shows the Zone-wise sales over 25 weeks. The line graph is the 4-week moving average. The colour indicates growth over the last 4 weeks (Red is negative, Green is positive).
Each box represents one Store (grouped by Zone and Revenue). The size of the box represents the total sales quantity over the last 25 weeks. The colour of the box represents the growth in the last week (i.e. Week 25 over Week 24).
Each box represents one Style (grouped by Category). The size of the box represents the total sales value over the given period. The colour of the box represents the % of sales via PDO. White indicates 0% sales via PDO, while dark blue indicates 100% sales via PDO.
Each box represents one Style (grouped by Category). The size of the box represents the total sales value over the given period. The colour of the box represents average price of the Style. White indicates a price of Rs 0 while dark purple indicates a high unit price.
Each box represents one Style (grouped by Category). The size of the box represents the total sales value over the given period. The colour of the box represents the number of days of stock available for the Style.